Hybrid journal * Containing 5 Open Access article(s) in this issue * ISSN (Print) 0969-9988 - ISSN (Online) 1365-232X Published by Emerald[362 journals]
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Authors:Alia Shams, Mohamed Marzouk Abstract: Construction projects are frequently plagued by fatal accidents, emphasizing the necessity for proactive safety measures. Therefore, it is important to evaluate safety leading indicators to prevent construction project accidents proactively. This study aims to evaluate safety-leading indicators in construction projects and then conducts a time-cost-safety trade-off to enhance the performance of construction projects. This research introduces a comprehensive framework designed to enhance construction project safety through safety visualization to illustrate safety risk scores throughout the project implementation. Safety is evaluated through two-stage structured interviews and analytical hierarchy process. Then, an optimization process takes place using a nondominated sorting genetic algorithm to get the Pareto front solutions in terms of time, cost and safety. Multi-criteria decision-making model is then applied to get a feasible solution which is fed to a safety visualization model that employs a 3D heat map to visualize safety on project elements over time. The proposed framework is capable to evaluate safety leading indicators, optimize the time-cost-safety trade-off and visualize the selected feasible solution on a 3D-colored heat map. A case study of a residential building located in Cairo, Egypt has been applied to demonstrate the practicality of the framework. This research focuses on proactive safety measures by assessing leading indicators rather than reactive measures like incident reports. Integrating BIM with decision-making techniques allows stakeholders to see how the safety risk levels change to assess and respond to safety risks proactively. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-22 DOI: 10.1108/ECAM-11-2024-1588 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Haiwen Li, Shidan Wang, Junying Liu, Xinya Guan Abstract: Technological innovation in megaprojects represents a form of innovation that transcends enterprise boundaries and relies on close collaboration among innovators. The relationship between project owners and contractors is crucial for the successful technological innovation in megaprojects. However, limited research investigates the mechanism of how the owner–contractor relationship effectively affects technological innovation in the context of megaprojects. This study aims to explore the effect of relationship quality (RQ) on the technological innovation performance (TIP) of megaprojects from an owner–contractor perspective. Based on the resource orchestration theory framework, this study develops a mechanism through which owner–contractor RQ influences the megaprojects’ TIP and examines the mediating roles of three sub-processes of resource orchestration–resource structuring (ROS), resource bundling (ROB) and resource leveraging (ROL). Using data collected from 192 professionals involved in megaprojects, this study empirically tests the conceptual model using partial least squares-structural equation modeling. Results indicate that owner–contractor RQ positively impacts both TIP and resource orchestration in megaprojects. ROB and ROL play a partial mediating role, whereas ROS does not have a substantial mediating effect. This paper verifies the positive effect of the owner-contractor RQ on the TIP of megaprojects and reveals the development mechanisms for utilizing ROB and ROL to enhance TIP. The findings can guide owners and contractors in strengthening their relationship to better manage and coordinate resources, thereby improving TIP in megaprojects. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-21 DOI: 10.1108/ECAM-08-2024-1147 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Eder Martinez, Felix Stauch, Borja García de Soto, Rafael Sacks Abstract: This study explores the integration of monitored data from Tunnel Boring Machine (TBM) operations into a digital twin framework to generate real-time status information for mechanized tunnelling. The study investigates the potential benefits that can be derived in terms of lean operations and reduced waste of rework. Using a design science research approach within a case study of a tunnelling project, the researchers developed, tested and refined the Digital Twin Construction (DTC) system and observed use cases of its application. The empirical data collected was analyzed to draw conclusions concerning the feasibility of the integration of TBM excavation data into a digital twin and the impacts of its use in improving flow and avoiding rework by reducing uncertainty. The study identifies key technical challenges, such as imperfect data interoperability across different systems involved in tunnelling operations and the need for standardized approaches to modelling. It also highlights the value of the digital twin in supporting lean design and construction workflows by providing the project team with information drawn from a dynamic representation of the tunnel’s physical state in short cycle times. This study presents an innovative computational design algorithm that automates data integration, enabling digital twin generation as a functional product. Furthermore, it includes use cases illustrating how the resulting digital twin supports the improvement of specific operations, such as bracketry design and construction. By addressing both technical and operational dimensions, this case study serves as a valuable resource for researchers and industry practitioners aiming to advance digital twin technology and lean construction in tunnelling and broader construction applications. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-18 DOI: 10.1108/ECAM-01-2025-0031 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Wenchao Bai, Jing Wang, Xiaosi Yu Abstract: The deep integration of the digital economy and the construction industry is a crucial pathway for promoting the green transformation and high-quality development of the construction sector. This study investigates the spatiotemporal evolution of the coupling coordination degree (CCD) between the digital economy (DE) and the high-quality development in the construction industry (HQDCI) across different provinces in China. It also identifies key obstacle factors, aiming to provide theoretical support and practical guidance for the high-quality development of the construction industry in the context of the digital economy. Utilizing panel data from 30 provinces in China from 2013 to 2022, this study constructs a comprehensive evaluation index system for the DE and the HQDCI. The entropy weight TOPSIS method is employed to measure the development levels of the two systems. The study further applies a coupling coordination degree model, a Dagum Gini coefficient and an obstacle degree model to analyze the spatiotemporal differentiation characteristics, regional disparity sources and obstacle factors of their CCD. The development levels of the DE and the HQDCI both exhibit an “east-high, west-low” gradient. The CCD increased from 0.334 in 2013 to 0.445 in 2022, although it remains at an elementary coordination stage. The spatial pattern reveals a multi-layered structure characterized by “eastern leadership, central catch-up, and western differentiation,” with inter-regional disparity contributions exceeding 70% and a particularly pronounced east-west gap. Furthermore, core obstacle factors show regional heterogeneity: the DE is primarily constrained by a shortage of IT talent and imbalances in the technology market, while the construction industry is limited by redundant infrastructure and mismatches in talent supply and demand. This study is the first to integrate the DE and the HQDCI within a unified framework, thereby unveiling their co-evolutionary mechanisms. Quantifying the CCD and regional disparity contributions provides empirical evidence for precise policymaking. Moreover, identifying region-specific obstacle factors offers targeted solutions for overcoming the “digital–construction” coordination bottleneck, yielding insights that have reference value for the digital transformation of the construction industry in China and the rest of the world. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-18 DOI: 10.1108/ECAM-12-2024-1645 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Carlos Alejandro Diaz Schery, Rodrigo Goyannes Gusmão Caiado, Eduardo Thadeu Corseuil, Hugo Neves, Jon Karl Weibull Abstract: This study aims to evaluate the evolution and impact of Building Information Modelling (BIM) research in the context of the construction industry’s digital transformation, by assessing key indicators such as scientific productivity, citation impact, collaboration networks, and emerging themes, and from the lens of cumulative capability development theory (CCDT). This study utilises a comprehensive bibliometric analysis to investigate research productivity in the area of BIM. An iterative search strategy identifies the most productive BIM authors and examines their productivity over a 6-year period (2018–2024) using Elsevier’s SciVal tool and Ucinet software. The study explores the quantitative and qualitative performance of publications at the country (macro), institutional (meso), and individual (micro) levels. Drawing on the results from different bibliometric analyses, at the macro level, national BIM capability development is driven by governmental initiatives, industry maturity, and cutting-edge research centers. At the meso level, specialised academic ecosystems in leading universities foster BIM knowledge and capability development. At the micro level, prominent researchers' leadership and international collaborations enhance routine and evolutionary learning capabilities. By applying the CCDT to macro, meso, and micro-level analyses, the study reveals how BIM research drives capability accumulation and supports the construction industry’s digital transformation. This study presents the first multi-level bibliometric analysis of BIM research not confined to a specific journal, laying the groundwork for understanding the knowledge structure in this field. The evolution of BIM research themes highlights the integration of innovative approaches and the importance of interdisciplinary and international collaboration. The findings provide valuable insights into the scientific trajectory of BIM, benefiting researchers, professionals, and decision-makers in the construction sector. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-17 DOI: 10.1108/ECAM-05-2024-0688 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Wenque Liu, Albert P.C. Chan, Amos Darko, Fan Zhang, Man Wai Chan, Michael A Adabre Abstract: When facing major emergencies, emergency healthcare facilities (EHFs) are vital in mitigating the medical pressures of traditional hospitals by providing immediate and flexible healthcare services. Performance measurement of EHF projects is crucial to ensuring that emergency medical services can respond effectively and efficiently to health demands. However, there is a lack of comprehensive understanding regarding the appropriate performance metrics that can measure the performance of these projects. This study aims to bridge this gap by identifying and assessing the quantitative metrics (QMs) for measuring the performance of EHF projects throughout their lifecycle, with a focus on their application in China. A four-stage multi-criteria decision-making framework was employed to carry out this study. Initially, preliminary QMs for EHF projects were identified through in-depth expert interviews in China. Three rounds of Delphi surveys and statistical analysis were then conducted in China to determine the QMs most appropriate for EHF projects. Lastly, the priority of the shortlisted QMs was evaluated using the C-OWA (Combination Ordered Weighted Averaging) operator, considering three evaluation dimensions: importance, data availability, and overall suitability. Twenty QMs that are most appropriate for measuring the performance of EHF projects in China are identified. Among these QMs, “schedule deviation”, “deconstruction casualty rate”, “engineering quality qualification rate”, “cost deviation”, “schedule efficiency”, and “bed density”, are deemed as the top six QMs in the overall suitability. In the overall ranking of top metrics, those related to scheduling are prominently positioned, highlighting the time-sensitivity of EHFs. This study provides a framework for measuring emergency healthcare facility project performance, thereby addressing the theoretical void in the fields of performance measurement and emergency management. It also enables healthcare administrators, emergency management staff, and project managers to quantitatively measure the performance of EHF projects, facilitating the rapid deployment and provision of effective emergency medical care under major crises. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-17 DOI: 10.1108/ECAM-07-2024-0931 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Jingqi Zhang, Shaohua Jiang Abstract: This paper aims to provide an in-depth examination of the rapidly advancing field of multi-modal knowledge graphs for engineering management (KGEM). It explores the current research landscape, highlighting significant technological innovations and identifying promising areas for future exploration and development. The aim is to offer a comprehensive review, focusing on how multi-modal knowledge graphs can enhance engineering management by integrating diverse data sources, improving decision-making processes and optimizing resource allocation. To conduct a comprehensive review, this study adopts a hybrid review methodology, combining systematic review techniques with a narrative synthesis approach. It systematically examines the body of research on multi-modal KGEM, extracting and synthesizing key findings across diverse studies. The review process adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, ensuring a transparent and rigorous selection of relevant literature. Additionally, the study identifies significant gaps in the existing research landscape and outlines potential avenues for future exploration, with a focus on technological advancements in data integration and decision support systems. This study provides a comprehensive examination of the current state of multi-modal KGEM, identifying three key themes: (1) data integration and intelligent information management, (2) risk management and resource optimization and (3) decision support and intelligent assistance. From these themes, three major gaps and requirements are summarized: (1) the need for more sophisticated methods to integrate and manage diverse data sources, (2) the development of advanced techniques for better risk assessment and resource allocation and (3) the enhancement of decision support systems through intelligent assistance and real-time data analysis. These findings highlight the critical areas requiring further technological innovation and research. This paper provides an in-depth analysis of multi-modal KGEM, synthesizing existing research and emphasizing the critical role of integrating diverse data sources and advanced decision support systems. By adopting a hybrid review methodology and adhering to PRISMA guidelines, the study offers novel insights into the integration of multi-modal data, risk management and intelligent assistance. Key contributions include identifying significant technological advancements, synthesizing current research trends and proposing new avenues for future exploration. These innovations aim to enhance the planning, design, construction and operational phases of engineering projects, driving technological progress and improving overall project efficiency and effectiveness. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-15 DOI: 10.1108/ECAM-02-2024-0252 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Anıl Yılmaz, Emre Caner Akcay, Irem Dikmen, M. Talat Birgonul Abstract: The aim of this study is to develop an activity-based lessons-learned model that allows construction companies to capture, store, classify and reuse activity-related lessons learned (LL) from previous projects, thereby increasing the reliability of time estimates in scheduling. Scheduling is a knowledge-intensive process that requires the utilization of data and expert opinion elicitation from various levels of an organization in construction projects. This research consists of five successive steps: performing a needs analysis, proposing an activity-based lessons-learned process model, validating the proposed process model, developing a tool to apply the proposed model in a computer environment and testing the applicability of the tool. To implement the proposed model in practice, a web-based tool, namely the Construction Industry Scheduling with Activity-Based Lessons Learned Tool (ConSALL Tool), was developed. Its functionality was evaluated using black-box testing. The tool was then applied in a real construction project. Results show that ConSALL has the potential to improve scheduling decisions in construction projects by incorporating data and experience from previous projects. Findings from this research can be used to develop similar models and AI tools to foster activity-based learning in other project-based industries as well as the construction industry. This paper presents an innovative approach to enhancing construction project scheduling by leveraging LL from past projects. The development and application of the ConSALL Tool demonstrate a practical implementation of the proposed model, providing a framework that can be adapted to other industries to improve project planning and execution. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-15 DOI: 10.1108/ECAM-06-2024-0729 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Kun Lu, Xueyuan Deng, Baoquan Cheng, Vivian W. Y. Tam Abstract: Carbon emissions from construction projects have the potential to be commodity futures. However, the pricing problem remains challenging in commodity futures transactions of life cycle carbon policy costs (CPCs). Therefore, this study aims to develop a method for carbon futures pricing in construction projects. Firstly, a carbon futures pricing model is developed by calculating the net present value (NPV) of life cycle CPCs. This model includes five variables: policy pattern, boundary situation, carbon allowance, carbon price trend and discount rate. Then, an open building information modeling (OpenBIM) tool is developed to automate this model. Finally, a case building is used to validate the proposed method. The carbon allowance determines the positive or negative carbon futures value (CFV), resulting in losses or profits in futures trading. The carbon price trend is the most significant factor affecting CFV due to their exponential relationship. Furthermore, the carbon futures have dual attributes of assets and liabilities for discount rate selection. The NPV of the life cycle CPCs is considered the pricing benchmark of the CFV. This model also helps various stakeholders buy or sell CPCs of construction projects for investment or hedging under changing carbon policy. The OpenBIM application provides a transparent and automatic tool to help designers directly optimize the CFV. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-15 DOI: 10.1108/ECAM-10-2024-1424 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Xiaowei An, Xi Chen, Yuanyuan Zeng, Yaru Zhang, Lunyan Wang, Wen Zhao Abstract: Construction projects are characterized by large construction scale, long construction period, high uncertainty, etc. and a large amount of data is generated in the construction process. Through an in-depth exploration of data value, value addition of the projects can be achieved based on data value co-creation. The purpose of this study is to analyze the laws of the strategic choices of participating subjects in the process of data value co-creation and the factors that influence the stability of the system. Based on prospect theory and evolutionary game theory, this study constructs an evolutionary game model of data value co-creation among owner, constructor and designer and analyzes the dynamic evolution law of data value co-creation behavior in construction projects and the influence of key elements on system stability. The study shows that the effort cost, profit value sensitivity, participation willingness and the owner’s punishment for non-participating subjects have a significant impact on data value co-creation; adjusting the punishment, reducing the effort cost and improving the subject’s benefit perception can effectively promote the stability of the data value co-creation system; meanwhile, the subjects’ willingness to data value co-creation shows complementarity and interdependence. The research results can reveal the evolution law of data value co-creation in construction projects and provide support for the optimization of data value co-creation practice and mechanism. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-15 DOI: 10.1108/ECAM-12-2024-1779 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Shuhao Zhang, Xiangchun Li, Yuzhen Long, Xiaowei Li, Yaoyu Shi, Jianhua Zeng, Baisheng Nie Abstract: Hazard management in coal mines is a critical pathway to ensuring the safe production of coal enterprises. Existing research primarily focuses on adjusting incentive mechanisms and enhancing punitive measures to encourage employees to engage in hazard identification, while comparative studies on the factors driving these behaviors and their moderating effects remain limited. Therefore, this study integrates the theory of planned behavior (TPB) and the stimulus-organism-response (SOR) model, introducing working conditions as a stimulus to construct a theoretical framework for coal miners’ proactive hazard identification. A questionnaire survey was used to collect data, and structural equation modeling (SEM) was employed to analyze the interaction mechanisms among the drivers of employees’ proactive hazard identification behavior. The results indicate that miners’ willingness to identify hazards is positively correlated with their behavior. Attitude has the most significant impact on the intention to identify hazards, followed by subjective norms (SN), while perceived behavioral control (PBC) shows no significant effect on intention. Among the variables of working conditions, social pressure exerts the greatest influence, followed by incentive schemes and environmental conditions. Moreover, income negatively moderates the relationship between intention and behavior. Limitations include a small sample size from a single region, potential social desirability bias in self-reported data and the need for additional variables to fully explain proactive hazard recognition behavior. Future research should address these gaps for improved model accuracy. These findings provide coal mine safety managers with valuable insights for policymaking aimed at enhancing employees’ hazard identification intentions and behaviors. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-11 DOI: 10.1108/ECAM-09-2024-1302 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Yidan Zhang, Mi Pan, Wei Pan, Jiewen Wu Abstract: This study aimed to formulate multi-level key performance indicators (KPIs) to systematically measure the performance of modular construction (MC) supply chains at the process, project, organization, and industry levels, as demonstrated in the case of modular integrated construction (MiC) for buildings in Hong Kong and the supply chain in the Greater Bay Area of China. This study first conducted a literature review to identify the initial indicators for MC supply chain performance measurement and verified them through three focus group meetings and twelve interviews. Based on the refined list of indicators, a questionnaire survey was carried out to determine the KPIs. Finally, this study organized a research workshop to consolidate and validate the findings. Through scale ranking and fuzzy set analysis, a total of 15 KPIs were identified for measuring MC supply chain performance, including “manufacturability of module design,” “stakeholder satisfaction,” “MiC experience of supply group,” “assurance of supply,” “efficiency of approval procedures,” “end-user acceptance” and “incentive effectiveness.” The KPIs highlighted the pivotal domains that warrant attention and the necessity of multifaceted endeavors for MC supply chain enhancement. This study contributes a multi-level measurement framework with KPIs to the literature on MC supply chain measurement. The efficacy of the mixed approach for formulating KPIs was demonstrated, providing a reference for other economies. Also, the multilevel KPIs help the government monitor the overall maturity of the entire supply chain network and facilitate the stakeholders directly involved in value creation activities to optimize process operations and strengthen organization capability. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-11 DOI: 10.1108/ECAM-12-2024-1711 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Rubing Wang, Qian Li, Heap-Yih Chong Abstract: Technological innovation diffusion, a complicated issue in construction project management, is conducive to promoting construction innovation and upgrading industrial technology. Although previous studies have investigated the factors affecting innovation diffusion, their variable-centered approaches miss the configurations of diffusion paths. By combining the factors of project attributes, innovation types and control mechanisms, this study explored their configurational effects on innovation diffusion at the project and firm levels. A fuzzy set qualitative comparative analysis was adopted to examine all associated configurations by collecting 229 questionnaires from construction projects. Innovations driven by corporate strategies were more likely to diffuse to become a firm-level mainstream product than those relying on a single project. The efficient allocation of resources fostered innovation diffusion, whereas controlling process behavior was especially crucial for important projects. Furthermore, both exploratory and exploitative innovation types were conducive to innovation diffusion for important projects but not necessary for routine and complex ones. Additionally, exploratory innovation should be accompanied by efficient resource allocation to enhance subsequent diffusion, whereas exploitative innovation requires flexible control over process management. This study expands the theoretical understanding of innovation diffusion by matching organizational and innovative elements in a configurational approach from the perspective of projects and firms. It also provides guidance for practitioners to design different elements to match projects and promote innovation diffusion. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-08 DOI: 10.1108/ECAM-12-2024-1737 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Jingjing Liu, Suxian Zhang Abstract: Despite extensive research on building information modelling (BIM) project collaboration, prior studies have focused on traditional performance metrics, qualitative methods and formal mechanisms, leaving a gap in understanding how relational attitudes drive collaborative innovation performance. This paper aims to explore how relational attitudes (RAs) exert impacts on collaborative innovation performance (CIP) in Chinese BIM project teams. Based on the relational exchange and information processing theories, a moderated mediating model is proposed to explore the mediating role of knowledge spillover (KS) and the moderation of cognitive diversity (CD). To gather data, this study conducted a questionnaire-based survey and collected 295 valid responses. The data were analysed using partial least squares structural equation modelling to test the proposed hypotheses. Notably, RAs positively influence CIP. Furthermore, KS performs a significant mediating role between RAs and CIP. Additionally, the indirect effect of RAs on CIP via KS is moderated by CD, highlighting the role of team diversity in enhancing knowledge exchange and innovation in BIM projects. Unlike previous studies that focus primarily on traditional project performance metrics, this paper concentrates on the impact of RAs on CIP from the perspective of relational exchange theory. Moreover, it significantly expands the concept of KS within the context of intelligent buildings, positioning BIM as a virtual technology platform for collaboration and innovation. The study also discusses the influence of inter-organisational team RAs and their determining factors on CIP through BIM application, based on the role of CD. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-04 DOI: 10.1108/ECAM-06-2023-0554 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Leonora Nana Adwoa Amponsah-Asante, Benjamin Botchway, Kenneth Eluerkeh, Eric Kwame Simpeh, Divine K. Ahadzie Abstract: The construction industry worldwide remains male-dominated, with the underrepresentation of women at all career levels and businesses. This situation could undermine efforts toward addressing sustainable development goal (SDG) 5 for gender equality and empowerment in the industry. Hence, this study aimed to empirically assess the barriers hindering female entrepreneurs specifically within Ghana’s construction sector for suggested career development provisions. A concurrent mixed-method research design was employed, collecting both quantitative and qualitative data in an integrated manner. Qualitative data involved semi-structured interviews with 10 female entrepreneurs in Ghana’s construction industry. Quantitative data involved an online survey of 31 female construction entrepreneurs, measuring responses to 21 variables identified in prior literature as potential barriers. The qualitative data were analysed using thematic analysis, whereas the quantitative data were analysed using both descriptive and inferential statistics. Subsequently, the results were compared using MAXQDA tools. The qualitative findings identified nine prominent themes relating to barriers – including gender bias, work-life conflicts, lack of support networks, safety issues and access to capital and/or opportunities. The one-sample t-test utilized in analysing the quantitative data identified 13 significant barriers such as lack of role models, harassment, lack of credit access, stressful work demands, underutilization of skills and low salaries. Furthermore, the comparative model using the MAXQDA tools revealed that the empirical support and confirmation across both data sources for challenges discussed theoretically – such as gender stereotyping, work-life imbalances due to caregiving responsibilities and limited access to financing impacting business success and growth. The study highlighted discrimination, intimidation and harassment as significant issues faced by women. These findings bring to the fore the need for society and policy to realign towards changing the status quo of gender inequality within the industry. From a practical standpoint, promoting inclusion through partner networks, enforcement of clear anti-discrimination and anti-harassment workplace policies is needed. The findings reveal socio-cultural gender biases in developing countries such as Ghana, which must be understood in order to develop appropriate strategies that will encourage inclusivity in addressing SDGs in construction in developing countries, particularly goal 5, which aims for gender equality and the empowerment of all women. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-04 DOI: 10.1108/ECAM-07-2024-0920 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Huey Wen Lim, Valerie Francis Abstract: Previous studies have focused on the impact of COVID-19 on the construction industry, but little is known about how these impacts further exacerbate the effect of job quality on the mental health of the construction workforce. This study aimed to assess the impact of COVID-19 on work and depressive symptoms among males in the Australian construction industry. The study analysed data from 526 males working in the construction industry, aged 18–55, drawn from waves 2 and 3 datasets of the Australian Longitudinal Study on Male Health (Ten to Men). Multivariate regression modelling examined associations between job quality, the impact of COVID-19 on work and depressive symptoms. Then, a difference-in-difference regression analysis (DID) was employed to compare the effect of job quality and COVID’s impact on work on depressive symptom severity pre- and post-COVID-19. The study found that 61% of participants reported COVID-19 impact on work, with work hours reduced for 33% of them but increased for 12%, while 17% worked from home. Multivariate regression analyses found a positive association between job adversities (exposure to 0/1/2+ adverse job conditions) and depressive symptoms, particularly with reported unfairness in effort–reward. Increased work hours during the pandemic exacerbated depressive symptoms. DID regression analysis revealed that increased work hours led to a significant rise in depressive symptom severity among those with high unfairness levels, while those with low unfairness levels showed no significant impact despite increased work hours. The findings advance the knowledge of identifying job quality and the impact of COVID-19 on work that contributes to depressive symptoms, offering valuable insights for the development of management strategies to mitigate mental health risks and promote mental health recovery post-COVID-19. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-04 DOI: 10.1108/ECAM-09-2023-0939 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Botao Zhong, Luhan Yang, Fang Huang, Jing Yang, Han Gao, Xing Pan, Yuhang Wang Abstract: The purpose of this paper is to address the problem of construction task recruitment and worker job finding on labor platforms, using an improved multi-preference two-sided matching algorithm and blockchain technology to provide mutually satisfactory matches for users in a trusted environment. This study adopts a stable matching method to consider the preferences of both construction tasks and workers. To ensure the trustworthiness of the platform environment, a dual-chain blockchain system combining public and private chains is designed to improve operational efficiency and scalability. The blockchain-based construction labor matching scheme is tested and compared with other methods to verify its feasibility and superiority. The analysis results show that the proposed mechanism improves the fairness of matching by considering two-sided preferences. The proposed blockchain-based scheme corresponds to the speed in seconds and costs about $1, which is reasonable. The contribution of this paper is to carry out a preliminary study on the relatively blank field of the current construction labor resource allocation at the platform level and to prompt the expansion of construction labor allocation investigation from the project internal to the market level. Furthermore, the designed B-CLSP model not only considers both construction worker and task preferences to improve matching fairness but also incorporates blockchain technology to improve platform trust and provide guidance for construction labor platform building and development. Citation: Engineering, Construction and Architectural Management PubDate: 2025-04-01 DOI: 10.1108/ECAM-09-2023-0980 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Hongyang Li, Ruoqing Lyu, Mengrui Wang, Matthew Moorhead, Martin Skitmore Abstract: In the context of urbanization, mental health disorders are becoming an increasing presence that cannot be ignored. It has been discovered that the built environment can influence mental health; however, the relationship between the two is complex, and previous studies lack a general overview of the two. Consequently, this study examines built environment and mental health through a literature review to provide a comprehensive overview and recommendations for psychological health planning in relation to the built environment. This literature review includes bibliometric analysis and narrative synthesis. Additionally, meta-analysis has been employed to scrutinize the relationship between built environment elements and mental health effects. The bibliometric analysis reveals that “health equity” and “healthy aging” have prompted a new wave of research in this field, with the meso- and micro-environment becoming the main focus. Based on the keywords, a narrative synthesis is conducted to identify the influence mechanism, the spatial definition of built environment provides the foundation for the identification of impact elements, the influence of built environment on mental health is realized both directly and indirectly, and diverse methods of data acquisition and analysis offer the basis for exploration and research. Ultimately, six optimization strategies and four modular planning recommendations are proposed to improve built environment practices to mitigate mental health problems, strengthen public psychological resilience and help achieve the sustainable development goal of health and well-being. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-31 DOI: 10.1108/ECAM-07-2024-0978 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Ali Tighnavard Balasbaneh, Willy Sher, Ashraf Ashour Abstract: The purpose of this study is to evaluate the benefits of reuse, recycling and incineration to avoid sending CDW to landfill. To reduce the cost and environmental impacts and to offer a scientific basis for selecting wood waste management systems, a life cycle assessment (LCA) and cost-benefit of waste approach were used. Selecting the most sustainable approach for the large amounts of waste wood that arise from demolition is challenging. Construction and Demolition Waste (CDW) has the potential to have a major impact on the circularity of building materials if they are retained in line with the principles of the Circular Economy. This study evaluates the environmental implications of managing wood CDW in different ways. Eight scenarios relating to wooden buildings were investigated, with four considering the wood waste replaced by virgin materials and the other four using new wood for the second cycle as building materials. Firstly, this study highlighted differences between reuse and recycling. Reusing wood can reduce global warming potential (GWP), embodied emissions and cost by 72%, 46% and 51% respectively, compared to recycling for glued laminated timber (GLT), cross-laminated timber (CLT) and particleboard. Furthermore, reuse required a lower embodied energy than recycling by 67%, 14% and 25% for GLT, CLT and particleboard, respectively. Secondly, recycling the wood waste into CLT after demolition resulted in lower GWP emissions than GLT and particleboard by 47% and 8%. Transforming waste wood to CLT lowers embodied energy by 63% and 12% compared to GLT and particleboard. Conversely, the cost of CLT manufactured from wood waste was lower than GLT and particleboard by 2% and 4%. These results indicate that reusing wood should be in priority for wood waste, followed by recycling into CLT as a secondary usage. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-27 DOI: 10.1108/ECAM-01-2024-0033 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Shitao Jin Abstract: This study aims to comprehensively review and analyze research topics and trends in the field of megaprojects by integrating bibliometric analysis with latent Dirichlet allocation (LDA) topic modeling techniques. The objective is to explore the development dynamics and key issues within this field, providing clear direction and guidance for future research. A total of 1,652 journal articles related to megaprojects were collected from the Web of Science database. Initially, bibliometric tools were employed to analyze the research dynamics in this field, including annual publication counts, citation trends, major contributors and keyword clustering. Subsequently, LDA topic modeling techniques were used to identify and establish key research topics within co-citation clusters, thus providing a comprehensive summary of the current research trends in megaprojects. This study identified and confirmed 13 key research topics in the field of megaprojects, including “urban development and construction management,” “collaborative governance and relationship management,” “resource management and performance optimization,” “ecological protection and environmental governance,” “stakeholder engagement and social responsibility,” “project performance and risk management,” “social justice and local governance,” “cost management and infrastructure governance,” “renewable energy and sustainable development,” “project management and contract governance,” “urban growth and risk assessment,” “spatial capital and political practice” and “social governance and safety management.” Based on these topics, the study summarized five major trends in megaproject research: scope management, relationship management, resource management, risk management and sustainability. This study employs an innovative methodological framework to comprehensively uncover the research topics and evolutionary trends in the field of megaproject management, addressing the gap in existing literature regarding holistic analyses of this domain. Building on these findings, the study further provides theoretical support and practical guidance for scope control, multi-stakeholder collaboration, resource optimization, complex risk management and sustainable development in megaprojects. These contributions hold significant value for advancing knowledge accumulation and enhancing management practices within this field. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-27 DOI: 10.1108/ECAM-04-2024-0495 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Shizhuo Zou, Yongtao Gao, Shichao Jiang, Jinfei Chai, Zhiran Yang, Chao Yang, Yu Zhou Abstract: Constructing subway stations near existing buildings is a complex engineering challenge. To identify high-risk factors and guide safe construction, a risk factor identification and safety evaluation system is needed. Compared to intuitionistic fuzzy sets, Pythagorean fuzzy sets and similar approaches, spherical fuzzy sets provide a more nuanced representation of fuzzy information. They offer greater computational flexibility and precision in complex fuzzy decision-making scenarios. Building on this, the study constructs a full-cycle dynamic risk factor identification and safety evaluation system based on spherical fuzzy numbers, triangular fuzzy numbers and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The model uses expert coefficients to measure the weight of different expert judgments and the coefficient of variation to assess the consistency of expert judgments. By combining subjective expert judgments with objective on-site data, the evaluation system is built through three steps: system establishment, data processing and risk factor identification. The applicability of the model was validated through the construction of the Xueshan Road Station of the Jinan Metro. An evaluation system comprising four criteria and 14 risk factors was established, covering geological conditions, construction monitoring, buildings and technical and management variables. A comprehensive evaluation of six construction stages was conducted, and the identified high-risk factors were consistent with the on-site conditions. Sensitivity analysis further verified the accuracy and stability of the model. The model is applicable to various engineering challenges, providing a robust basis for early warning of construction risks. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-26 DOI: 10.1108/ECAM-08-2024-0994 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Yanhu Han, Ruvimbo Sinatra Mtisi, Jiashu Zhou Abstract: It is clear that some research has been done on this issue in many developed countries, but attention needs to be paid to the development of prefabricated construction (PC) in developing countries. PC is gaining momentum in Sub-Saharan Africa (SSA), a region with a burgeoning construction industry. However, this industry still lacks sufficient development and participation from regional contractors. From a SSA’s point of view, there is a significant gap in understanding the influencing factors and their implications in opening prefabrication factories. As a major developing country, China’s PC deserves special attention and lessons. Therefore, we provide a boost to PC’s long-term development in SSA based on some Chinese and international prefabrication industry experiences. To address this gap, this paper proposes a methodology for analyzing the influencing factors for contractors in opening prefabrication factories in SSA. The proposed method consists of three phases: (1) a quantitative questionnaire survey using a five-point Likert scale, (2) confirmatory factor analysis to test the observed variables and (3) structural equation modeling to model the interconnections of the observed variables and analyze their direct and indirect linkages. The results of this integrated analysis identify novel and significant major factors influencing contractors in the establishment of prefabrication factories and their impact on developing and promoting of prefabricated buildings in SSA countries. Additionally, the results highlight essential aspects for policymakers to formulate supportive regulatory frameworks and provide government incentives and support for contractors, developing market penetration strategies, promotion of project innovations, integration of advanced technologies, incorporation of sustainable materials to enhance the industry standard and encourage international knowledge transfer of PC to SSA. This research supports policymakers, stakeholders, consumers, researchers and contractors in identifying and improving the influencing factors and their interrelationships. It enables interested parties to devise more effective strategies to promote PC development in SSA to alleviate the housing shortage and provide affordable and sustainable housing solutions. Additionally, PC development reduces construction (residential) costs while creating jobs that can stimulate the local economy and contribute to the long-term growth of infrastructure development and technological advances in the region. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-25 DOI: 10.1108/ECAM-08-2024-1026 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Liang Xiao, Geoffrey Qiping Shen, Xian Zheng, Guofeng Ma, Jianyao Jia, Yuanyuan Zhang Abstract: Knowledge-based informal leadership is prevalent in project teams. However, its precise impact on project performance and the mechanisms through which it operates remain unclear. This study aims to conceptualize informal knowledge leadership (IKL) and examine how and when it enhances project knowledge integration and, ultimately, boosts project performance. A quantitative survey was conducted among 636 members of construction project teams in China, including frontline employees from client organizations, construction firms, design firms and consulting firms. Regression analysis was employed to examine the relationships between IKL, knowledge integration and project performance, as well as the moderating roles of perceived organizational support (POS) and psychological contract breach (PCB). IKL significantly promotes knowledge integration, which mediates the positive relationship between IKL and project performance. POS strengthens IKL’s impact on knowledge integration, indicating that supportive environments enhance informal leaders’ effectiveness in facilitating knowledge sharing. However, PCB does not significantly moderate this relationship, suggesting that unfulfilled organizational commitments do not diminish IKL’s positive effects. This study advances the understanding of informal leadership in construction projects by identifying the mechanisms through which IKL enhances both knowledge integration and project performance. It also underscores the critical role of organizational support in maximizing the influence of informal leaders. Offering new insights into leadership and knowledge management, this research provides practical guidance for project managers on fostering IKL to improve project outcomes in the construction industry. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-25 DOI: 10.1108/ECAM-10-2024-1359 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Sreenu Nenavath Abstract: This study aims to address the critical issue of carbon dioxide emissions contributing to global warming by examining the drivers of low-carbon practices in green supply chain management (GSCM) within the construction sector. Focusing on the construction industry, the study aims to investigate the key factors influencing the adoption of low-carbon practices in GSCM, specifically supply chain interactions, organizational culture and environmental regulations, based on institutional theory, relational perspective theory and self-determination theory. Data for the study were collected through a structured questionnaire distributed to key stakeholders involved in construction projects, such as owners, contractors, designers and other relevant parties. Analysis was conducted using partial least squares structural equation modeling (PLS-SEM) to explore relationships between the identified drivers and low-carbon practices in GSCM. The study reveals that supply chain interactions and organizational culture positively and significantly influence the adoption of low-carbon practices in GSCM. Additionally, organizational culture partially mediates the effect of supply chain relationships on low-carbon behaviors. Contrary to previous assumptions, environmental regulations do not have a direct impact on these practices but exert an indirect effect through the mediating roles of corporate culture and supply chain links. By exploring the factors that drive low-carbon behaviors within the green supply chains of the construction sector, this study fills an important gap in the literature. The findings provide policymakers and practitioners with valuable insights to enhance low-carbon practices and reduce carbon emissions. This research contributes to improving environmental performance in the construction industry and supports the development of more effective strategies to combat climate change. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-25 DOI: 10.1108/ECAM-10-2024-1471 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Mahdi Ahmadnia, Reza Ghanbari, Mojtaba Maghrebi Abstract: In high-rise construction projects, the use of multiple tower cranes to transport materials has become common; however, optimizing their layout still poses a challenging problem. Key objectives such as minimizing costs related to crane operation (such as rental, installation, dismantling and operator wages) while reducing workdays, mitigating interruptions caused by crane overlapping and improving safety (such as preventing crane collisions and path blockages). A mixed-integer linear programming (MILP) model is proposed to optimize the number, type and location of tower cranes as well as the location and number of supply points. The MILP incorporates crane height optimization and penalties for loading, crossing and unloading within overlapping areas to tackle interference issues. Additionally, a delay penalty is introduced into the objective function to minimize workdays and material delivery delays. The proposed method was validated with a real-world case study. Results show that the introduced model can manage crane overlaps optimally by assigning tasks and ranking crane heights. Unlike similar works, the proposed method is able to find a path over other cranes by determining an optimum height. Applying the proposed method in the case study resulted in a cost reduction of up to 49%. This study extends the previous approaches by addressing critical yet underexplored factors such as the number and capacity of supply points as well as considering safety issues like avoidance of path obstructions and crane collision(s) in the mathematical model. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-24 DOI: 10.1108/ECAM-10-2024-1401 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Isaac Akomea-Frimpong, Xiaohua Jin, Robert Osei-Kyei Abstract: Ghana is increasingly making use of public–private partnership (PPP) investments in infrastructure projects. There are 30 national projects and numerous contracts at the local government level under the PPP contracts with the goal of using PPPs to address the country’s huge infrastructure gap by 2030. However, there is an assessment gap on the projects meeting the sustainable development goals because there are no established sustainable performance measures for the projects. Therefore, this study aims at identifying and analysing the key sustainable performance measures for PPP infrastructure projects in Ghana. The research approach in this study follows three steps of literature review, collection of questionnaire data from 249 PPP practitioners and fuzzy synthetic analysis of the data. The results indicate climate resilience, inclusive and cultural diversity, least carbon emissions and adequate collection of revenue as the key sustainable performance of PPP infrastructures in Ghana. This article is useful for local (within Ghana) and international research into sustainable assessment of PPP projects. The findings will guide the development of socially inclusive, environmentally conscious and sound governance performance assessment policies and practices to deliver PPP projects. The study should be valuable for PPP practitioners to effectively assess sustainable development goals in the outcomes of PPP projects. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-24 DOI: 10.1108/ECAM-10-2024-1463 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Lin-lin Xie, Denghe Li, Sisi Wu, Rui-Dong Chang Abstract: This study aims to optimize and solve the prefabricated project scheduling model, which can simultaneously consider the precedence relationship constraints of activities, resource limitations and supply time constraints of prefabricated components. The scheduling plan obtained by the optimization model can guide the project manager to reasonably organize the execution process of the construction project and rationally allocate resources to improve project performance. The paper proposes a multi-mode construction scheduling model for prefabricated projects, which enriches the key constraints of the scheduling model and reflects the construction characteristics of the off-site production and installation process of assembly projects. In addition, an improved genetic algorithm was designed to solve the model, and its effectiveness was verified using the PSPLIB dataset, followed by the application of the scheduling model to a practical construction project. The proposed algorithm, validated using PSPLIB datasets, demonstrates superior accuracy and efficiency than the methods discussed in the literature referenced in this paper. It achieves better results, with average deviation rates of 0.00, 0.10 and 0.31% for the J12, J18 and J20 datasets, respectively. Applied to a real-world case, the model significantly reduces project durations and enhances resource utilization compared to the traditional CPM method. The algorithm also effectively minimizes delay impacts by optimizing activity sequences and resource allocation, ensuring strong practical applicability. This research tackles the scheduling problem of prefabricated projects by considering multiple execution modes for each activity and the supply time constraints of components based on actual construction conditions. An improved genetic algorithm is used to obtain the shortest duration scheduling scheme that meets process priority and resource feasibility. Numerical experiments with PSPLIB examples show the algorithm’s competitive quality, aiding project managers in developing effective schedules and resource allocation. The study also highlights the algorithm’s ability to optimize resource use and minimize delays, ensuring efficient handling of unexpected postponements and enhancing project efficiency. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-21 DOI: 10.1108/ECAM-03-2023-0232 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Andrew Ebekozien, Angeline Ngozika Chibuike Nwaole, Clinton Ohis Aigbavboa, Mohamed Ahmed Hafez Ahmed, Mohamad Shaharudin Samsurijan, Wellington Didibhuku Thwala, Matthew Osivue Ikuabe Abstract: The increasing crisis in northeast Nigeria encourages young adult internal migrants to the southern part for greener pastures, including construction activities. Evidence shows that many migrants engaged as labourers within a short period claimed to be qualified artisans without apprenticeship schemes. There is a need to integrate apprenticeship in the informal construction sites where internal migrants are engaged to enhance their competency in craftsmanship. The internal migrants may have had some encumbrances. The research investigated issues facing young adults’ internal migrants and suggested measures to improve their skills acquisition and construction craftsmanship before being engaged as artisans. The researchers employed a qualitative method utilising a semi-structured face-to-face interview to solicit data from 30 participants in Nigeria. The researchers utilised an investigative method to engage young adult internal migrants in Nigeria, and thematic analysis was employed to analyse the collected data. Findings show that training internal migrants with the necessary craftsmanship skills will enhance economic growth. The main issues facing young adults’ internal migrations are clustered into six groups. Among the recommendations is establishing a friendly modified Nigerian Skills Qualifications Framework (NSQF) to manage the apprenticeship scheme for the young adult internal migrants interested in embracing construction craftsmanship. In the context of internal migrants into construction craftsmanship, this study contributes to the academic community debates. It reawakens policymakers and other stakeholders to formally or informally internalise apprenticeship for internal migrants wishing to embrace construction craftsmanship. A friendly, modified NSQF will improve competencies and job opportunities for the migrant artisans. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-21 DOI: 10.1108/ECAM-06-2024-0801 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Guiwen Liu, Jie Liu, Neng Wang, Mi Pan, Youjia Tan, Yifan Zhang Abstract: Insufficient attention to the building’s structural safety conditions has led to loss of life and property as well as disastrous social impacts. Although some countries or regions have developed building structural safety management policies, they seem to lack a solid decision-making basis and efficiency. To address this, this paper aims to establish a data-driven framework to achieve the economic, efficient and accurate management of building structural safety. This paper proposes a novel framework for hierarchical management of building structural safety using machine learning approaches. A case study in Chongqing, China, is adopted to demonstrate its application and prove its feasibility. The framework considers the database, prediction of structural safety, hierarchical management and iteration. The results indicate the effectiveness of the proposed framework, which facilitates the prediction of an existing building’s safety condition using limited fundamental information, allowing for the design of hierarchical management that encompasses structure, mechanisms and management measures. Furthermore, iteration mechanisms introduced allow for continuous improvement and adaptation over time. By introducing this framework, hierarchical management actions could be taken to distinguished buildings, optimizing resource allocation and enhancing the effectiveness of engineering decision-making for maintenance. This proposed framework also offers practical guidance for decisions regarding new building construction. The proposed framework provides valuable insights for research and practice in intelligent and cost-effective hierarchical management of structural safety for buildings and contributes to urban renewal. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-20 DOI: 10.1108/ECAM-10-2024-1344 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Shiyao Zhu, Haibo Feng Abstract: The building industry generates around ten billion tons of construction and demolition waste (CDW) annually worldwide, posing both financial burdens on contractors and significant environmental hazards. Embracing a circular economy (CE) approach emerges as a promising strategy for sustainably managing the vast volumes of CDW. However, the sustainable performance of many attempts in CDW circulation is still questioned and need to be justified. This study transcends traditional reviews by adopting a systematic literature review, focusing on the central question: “What’s the contribution of the 3R principle in CDW circulation and its sustainability performance'” The methodological framework encompasses literature searching, screening and quality assessment, culminating in the selection of 177 articles for bibliometric and integrative analysis. Comparative assessments were conducted on major CDW reduction strategies, reuse materials, recycling rates and other circular strategies. The sustainable performance of the process was also discussed as well as the modern advanced tools used for the design and assessment, such as building information model (BIM), AI and geographic information systems (GIS). The bibliometric analysis reveals the evolution of the selected publications by year, country and research hotspots. Through the integrative analysis, the research explored the 3R principles adopted in CDW circulation, including waste reduction, reuse and recycling, as well as other circular methods across key global economies. There is a notable disparity in the volume of articles addressing reuse compared to recycling. In comparison to the environmental and economic performance of CDW circulations, social performance has received less attention. Moreover, the study ventured into prospective research trajectories, exploring future themes such as the adoption of a “zero-waste” strategy for the industry, the promotion of higher-level material circularity, the need for institutional network building among stakeholders in CDW circulation practice, and new tools for holistic sustainability analysis. Few reviews in this field have focused on the sustainability performance of the CDW circulation. This comprehensive analysis not only contributes valuable insights into the current state of CDW within the CE paradigm but also directs attention toward critical and sustainable avenues for future research in this area. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-18 DOI: 10.1108/ECAM-05-2024-0678 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Miaohua Luo, Yushan Xie, Peifeng Xie, Xiaolin Liu Abstract: This study explores how temporal social comparisons influence older construction workers’ acquisition of digital intelligence knowledge from younger colleagues within the context of the digital transformation of the construction industry. It aims to identify the underlying mechanisms of reverse intergenerational knowledge transfer and to examine the moderating role of age-inclusive HR practices, providing new insights into this dynamic process. A quantitative research design was employed, with data collected from 239 construction workers in Dongguan and Shantou, Guangdong Province, China, using a structured questionnaire. The research adopted a time-lagged data collection method, gathering data every two months over three rounds to minimize common method biases. The study tested the hypothesized relationships using structural equation modeling with partial least squares (PLS-SEM), offering a robust approach to analyzing complex relationships. The results reveal that unfavorable temporal social comparisons do not directly lead older workers to acquire digital intelligence knowledge. Instead, future status threat and generativity motives fully mediate this relationship, highlighting the psychological mechanisms driving knowledge acquisition. Age-inclusive HR practices moderate the relationship between temporal comparisons and status threat but have no significant effect on generativity motives. The structural model explains a significant portion of the variance in the key variables, contributing valuable insights to the field. This study offers practical recommendations for improving knowledge exchange among construction workers. By understanding the dynamics of reverse mentoring, managers can better manage status conflicts and utilize time perspective to foster more effective mentoring practices. Organizations should adopt age-inclusive HR policies to reduce intergenerational competitiveness, creating an environment that promotes cooperative incentive systems and better intergenerational collaboration. This study makes a unique contribution by uncovering the mediating mechanisms through which temporal social comparison influences digital knowledge acquisition and by identifying the boundary conditions for reverse mentoring in the construction industry. It introduces a novel perspective on the role of age-inclusive HR practices in facilitating knowledge transfer, extending the literature on intergenerational learning and digital transformation. This research provides practical implications for improving workforce management and fostering intergenerational knowledge exchange in industries undergoing digital change. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-18 DOI: 10.1108/ECAM-11-2024-1528 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Ying Li, Tao Sun, Rui Han, Xinyi Zhang Abstract: This study establishes a framework of green supply chain management (GSCM) in the construction project context. The purpose is to empirically validate the effect of GSCM practices on environmental and organizational performance from the sustainability perspective and explore the distinct role of contractual and relational governance in promoting GSCM practices. This study used survey data collected from construction companies in China, with a sample of 159 responses participating in the analysis. This study applied a survey method to test the hypothesized relationships. Partial least squares structural equation modeling (PLS-SEM) was used to test the hypothesized relationships based on the survey data in Chinese construction industry. The results demonstrate that in construction projects, GSCM practices have a positive effect on both environmental and organizational performance. Contractual governance is not significantly related to GSCM practices, while relational governance positively influences the implementation of GSCM practices. The results further demonstrate the indirect effect of relational governance on the relationship between contractual governance and GSCM practices. Theoretically, this study enhances the understanding of GSCM as a holistic method to integrate green practices into construction projects and reveals the distinct role of governance arrangements in greening construction supply chain, which contributes to project sustainability research. Practically, this study provides a systematic GSCM implementation framework and transformation path for the construction industry to achieve both organizational and environmental performance. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-17 DOI: 10.1108/ECAM-03-2023-0195 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Yuanyuan Kou, Kai Liu Abstract: Currently, the frequent occurrence of safety accidents in the construction industry has resulted in substantial damage to both national and public lives and properties. In order to gain a deeper understanding and leverage project and company organizational resources to improve overall level of construction safety, this study explores the effects of project and company organization on safety resilience from a network-embedded perspective. This study develops a framework for analyzing dual organizational network embeddedness, which takes into consideration the perspective of network embeddedness. This framework proposes a conceptual model to illustrate the effect mechanism of dual organizational network embeddedness on the construction safety resilience (CSR). Moreover, the 388 valid survey data were collected in construction projects and subjected to empirical analysis by adopting structural equation modeling (SEM). The results demonstrate that both dual organizational network structural embeddedness and relational embeddedness significantly and positively influence the safety resilience in construction projects. The project organizational network embeddedness has a greater effect compared to company organizational network embeddedness. Furthermore, the interaction of dual organizational network relational embeddedness positively promotes construction safety resilience, but the interaction of structural embeddedness is not significant. However, the complexity and uncertainty in safety risks (CUSR) negatively moderate the effect of dual organizational network embeddedness on CSR, and it would reduce the effectiveness of dual organizational network embeddedness in enhancing CSR. This study breaks through the boundaries between project organization networks and company organization networks from the perspective of dual network embeddedness, which not only enriches the theoretical foundation of construction safety resilience synergy and linkage but also helps construction project contractors to effectively utilize the strengths of both project and company organization to ensure construction safety. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-17 DOI: 10.1108/ECAM-11-2024-1567 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Ping Yung, Abdullahi B. Saka, Sam Edward Caborn Abstract: This paper examines macroeconomic factors affecting insolvency level in the UK construction industry. A lagged dependent variable (LDV) model is proposed which adequately addressed the serial correlation and endogeneity problems commonly existed in time series data. Objective macroeconomic data from Q3 1997 to Q4 2023 are used to evaluate seven refutable hypotheses. It is found that higher unemployment rate or annual interest burden leads to higher number of insolvencies, while higher construction output value or interest rate leads to lower insolvencies. Domino effect in construction insolvency is also confirmed. The proposed solutions to the missing data on 3 quarters and the changes in the industry breakdown methods during the study period might have affected the accuracy and consistency of data. The paper provides objective insights to factors affecting construction insolvency, offering tools for future policy formulation. Knowing factors affecting insolvencies helps formulating solutions. Previous studies on insolvency in construction industry have largely focused on prediction of insolvency of individual companies using firm level financial data, which are symptoms of failure rather than root causes. Studies using questionnaires could be subjective and the limited studies using macroeconomic factors often have methodological issues. This paper bridges the gap by analysing objective macroeconomic data with a sound methodology. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-17 DOI: 10.1108/ECAM-07-2024-0974 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Xin Jin, Zhe Chen, Anushika Ekanayake, Bingzhen Li, Geoffrey Shen, Hongqin Fan, Yiwen Luo Abstract: This study examines the policy-driving forces (PDFs) influencing the adoption of modular integrated construction (MiC) in Hong Kong (HK). It focuses on understanding how these forces impact MiC implementation across different construction phases, providing insights for policymakers to enhance sector productivity, efficiency and sustainability. Utilising system dynamics (SD) modelling, this research simulates the dynamic influence of PDFs on MiC adoption throughout various construction stages. Data collection involved questionnaires, surveys and case studies, which established the basis for detailed simulation scenarios to understand the timing and impact of PDFs. The results indicate that PDFs exert the most significant influence during the initiation phase of MiC adoption, followed by the construction and planning and/or design phases. Regulative PDFs emerged as the most potent drivers in enhancing MiC uptake at each phase. Based on these insights, the study proposes six strategic recommendations to promote MiC adoption, emphasising the utility of MiC in emergency infrastructures. This research introduces a novel application of SD modelling to quantitatively assess the impact of PDFs on MiC adoption in Hong Kong’s construction industry. It provides a dynamic, systematic perspective on policy impacts, offering actionable insights for effective policymaking. Through scenario simulations, this study equips policymakers with the tools to foresee outcomes of policy adjustments, thus enabling informed decisions to foster widespread MiC adoption for sustainable development. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-14 DOI: 10.1108/ECAM-04-2024-0480 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Anteneh Birhanu Habetemeherit, Desalegn Girma Mengistu, Fiseha Tarekegn Sorsa, Bitseat Zeleke Tesfaye Abstract: The purpose of this study is to assess the causes of construction projects’ contract terminations, and the impacts and potential mitigation strategies in the context of Ethiopian construction industry. In this study a mixed method comprising a questionnaire survey and case study were employed. The case study examined 24 public construction projects that have experienced contract termination, where some of the projects had terminated multiple times. In analyzing the data, while descriptive statistics was employed for the quantitative data, thematic analysis was used in analyzing the qualitative data. The identified client-related major causes are inadequate funding, improper budgeting and payment delays to the contractor. Contractor related major causes are weak contractor capacity, low profit margin, poor cash flow management and ineffective risk and claim management. The external major causes are political and economic instabilities, regulatory challenges and force majeure events. The major impacts of termination on the client are delay of the public service, quality problem and financial damage, whereas the identified impacts on the contractor are financial losses and reputation damage. The potential mitigation strategies are effective contract management, risk management and collaborative project management. Public construction projects’ contract termination is among the persisting problems of construction industry; and the case is worse in developing countries with multiple causes and consequences. Hence, findings of this study are valuable inputs to the stakeholders to enhance the practice in reducing the likely occurrence and impact of contract terminations. Also, the study indicates the interdependent nature of the causes and the impacts. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-13 DOI: 10.1108/ECAM-09-2024-1217 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Vassiliki Demetracopoulou, William J. O'Brien, Nabeel Khwaja Abstract: The choice of design-build (DB) or design-bid-build (DBB) as a project delivery method (PDM) is increasingly important in the infrastructure space as agencies gain authority to use alternative delivery methods and expand their DB experience. There is increasing consensus in the literature that DB has an advantage in schedule performance, while findings are inconclusive for cost performance. However, delivery method selection for individual projects requires a more granular review of project goals and characteristics and their interplay with each method. To provide such a detailed perspective, this study compares quantitative cost and schedule goal assessments for pertinent PDM selection criteria. To meet the research objectives, this study employed a two-stage approach. First, a literature review and semi-structured interviews analyzed through grounded theory were employed to finalize the criteria addressed in this work. As a result, 19 criteria, categorized into inherent project characteristics and risks, against achieving three distinct goals – lower capital cost, higher cost predictability and higher schedule predictability were included in this study. Second, 22 experts from the industry, the Texas Department of Transportation and the Federal Highway Administration provided impact assessments across the DB and DBB methods. Results were analyzed using utility theory and statistical significance tests. Results indicate statistically significant differences between cost- and schedule-related impacts. For most criteria, DB selection supports achieving higher schedule predictability, while DBB selection positively impacts the higher cost predictability and lower capital cost goals. This finding provides quantitative evidence for the cost-schedule tradeoffs at the selection stage. In addition, this study provides quantitative support that project risks negatively impact both DB and DBB selection. Interaction with railroads and availability of qualified contractors presented significant differences between the two methods, contradicting the notion that DB is a vehicle for risk transfer. This work is the first to provide detailed impacts and comparisons across cost and schedule goals during the PDM selection stage, offering insights into decision-making and risk for transportation owners. Researchers can utilize the findings of this work for further comparisons among methods and additional performance goals. In addition, practitioners from state highway agencies can use the findings to make more informed decisions about the PDM selection process for transportation infrastructure projects. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-12 DOI: 10.1108/ECAM-06-2024-0823 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Yuanyuan Zhang, Guofeng Ma, Xinming Pan, Liang Xiao, Jianyao Jia, Hongchao Li Abstract: Due to the flexibility and proactivity emphasized by job crafting in today’s uncertain and complex era, scholars have preliminarily proved its positive consequences in the project context. Nevertheless, little is known about the task-related antecedents of job crafting in the construction project environment and whether these task factors can be further converted into project performance through job crafting of project teams, thereby motivating this study. Drawing on the person-environment fit theory, this study hypothesized job crafting of construction project teams as a mediator that links the project task-related job resources (job autonomy and informal coordination) and job demands (time urgency and task complexity) with project performance. The proposed conceptual model was empirically validated with survey data from 244 members of construction project teams. The results show that job autonomy and informal coordination motivate project teams to engage in job crafting and thus improve project performance. Further, the direct effect of task complexity on team job crafting and the indirect effect on project performance are negative. Moreover, informal coordination is found to buffer the negative impact of task complexity on team job crafting and project performance. This research explores how construction task characteristics can be leveraged to boost project performance from a team proactivity perspective. The findings of this study offer novel insights into effectively incentivizing job crafting of project teams and transforming task characteristics into project performance within the construction management field. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-12 DOI: 10.1108/ECAM-08-2024-1144 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Linlin Xie, Ziyi Yu, Xianbo Zhao Abstract: To meet an ever - increasing urbanization demand, urban complex projects have evolved to form the development type of HOPSCA (an acronym for Hotel, Office, Park, Shopping mall, Convention and Apartment, representing a new type of urban complex). Its integrated functions, complex structures and superior siting expose HOPSCA’s construction phase to higher and more uncertain safety risks. Despite this, research on construction safety risks of large urban complexes is scarce. This study addresses this by introducing the interval ordinal priority approach (Interval-OPA) method to build a safety risk assessment model for HOPSCA, targeting its construction safety risk management. This study initially identifies risk factors via literature review, field survey and three Delphi method rounds, forming a construction safety risk list of HOPSCA projects. Then, Interval-OPA is employed to create a safety risk assessment model, and its validity confirmed through a representative case study of an ongoing project. Lastly, uncertainty and weighting analyses of the model results identify the most probable major construction accidents, safety risk factors and targeted prevention strategies for the urban complex projects construction phase. The findings reveal that (1) there are 33 construction safety risks in HOPSCA’s construction phase across 4 aspects: “man-machine-environment-management”; (2) object strikes are the most prominent of accidents and need to be prioritized for prevention, especially when managerial risks are arising; (3) falls from heights are evaluated with the highest level of uncertainty, which represents an ambiguous area for safety management and (4) the result of the risk evaluation shows that there are nine critical construction safety risk factors for the HOPSCA project and that most of the management-level risk factors have high uncertainty. This study explores and provides effective measures to combat these factors. This study innovatively applies the Interval-OPA method to risk assessment, offering a fitting method for evaluating the HOPSCA project’s construction safety risks and accidents. The model aids decision-makers in appropriate risk classification and selection of scientific risk prevention strategies, enhances HOPSCA’s construction safety management system and even benefits all under-construction projects, promoting the construction industry’s sustainable development. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-11 DOI: 10.1108/ECAM-04-2024-0522 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Hisham Noori Hussain Al-Hashimy, Jinfang Yao Abstract: The study examines the effect on the impact of electronic accounting information systems (EAIS) in the field of construction project management, focussing on cost control (CC), time management (TM) and resource allocation (RA). Also, it examines how the technical infrastructure & competency level (TI & CL) of the staff can mitigate these impacts. A survey was conducted among the construction companies. Of the largest construction companies in Iraq, 245 companies were included. The results were analysed with partial least squares (PLS) to analyse the effects of both moderating and direct EAIS in the final results of projects. EAIS enhances the CC in TM and RA. However, its efficiency is greatly enhanced due to a robust TI & CL. If you are in a setting with a modern infrastructure, EAIS contributes less to cost management because the existing systems are already efficient. These findings suggest that companies need to invest in infrastructure as well as staff training in order to reap the maximum EAIS advantages while also improving the performance of the project management process. This research provides fresh insights into the investigation of the moderating function of the TI & CL. It provides practical advice for construction companies on how to enhance EAIS to improve the project’s outcomes. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-11 DOI: 10.1108/ECAM-08-2024-1081 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Muhammad Aliyu Yamusa, Abdulmalik Abba Dandago, Haruna Sa'idu Lawal, Abdullahi B. Saka, Mu'awiya Abubakar, Muhammad Abdullahi Abstract: Construction renovation projects have been noted to suffer from uncertainties. While recent efforts have studied uncertainties affecting the duration of other types of projects, these efforts have overlooked construction renovation projects. Therefore, this study aims to evaluate the uncertainty factors affecting the duration of construction renovation projects. In total, 226 responses from construction professionals were collected via a questionnaire survey on the impact of uncertainty factors on the duration of construction renovation projects. The subjective responses of experts from the industry were categorised using principal component analysis (PCA) before being exposed to objective analysis, assessment and modelling using a soft computing technique called fuzzy synthetic evaluation (FSE). In total, 25 uncertainty factors were grouped as critical factors and were modelled. The PCA of the 25 critical uncertainty factors produced an 8-factor solution that grouped the uncertainty factors into 8 categories. The FSE modelling indicated that all eight groups are critical, but with varying levels of criticality on the duration of construction renovation projects. The study provides a basis for a cost-effective uncertainty management guideline to avoid time overruns in construction projects. It also offers a platform for choosing among renovation projects to decide whether or not a project will overrun its time or not. The study identified and established critical uncertainties affecting the duration of construction renovation projects, thus providing the first empirical multi-attribute objective uncertainty evaluation for the duration of construction renovation projects. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-10 DOI: 10.1108/ECAM-09-2023-0952 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Fuhao Zu, Xueqing Zhang Abstract: The traditional information phase of value engineering (VE) workshops often involves face-to-face meetings and physical site visits, which can be time-consuming, costly and impractical due to various constraints. This paper introduces a web-based platform integrating BIM and GIS to streamline this phase by systematically gathering, processing and visualizing multi-format information in a virtual environment. A comprehensive literature review was conducted to analyze the potential of BIM and GIS integration in the VE context. A three-step information structure generation method was employed to outline the information gathering needs during the VE workshops, incorporating a review of multi-source references. A framework including information gathering, processing and visualization was proposed to streamline the information phase with BIM and GIS integration as the core. Subsequently, a web-based prototype platform was developed utilizing the three-layer architecture, with the case study to demonstrate its application. A comprehensive evaluation involving black box testing, user interface testing and focus group discussion was conducted to validate the functionality, usability, potential and limitations. The platform can support the systematic collection, processing, organization and visualization of multi-format information during the information phase, enable virtual meetings and virtual site visits and facilitate VE participants’ review, understanding and analysis of such information and the documentation of their comments and suggestions. The black box testing validated its functionality, with necessity, effectiveness and convenience confirmed by VE practitioners. Its potential was approved due to clear information structure, web-based virtual review and logical multi-format information organization. The generalized four-category information structure and proposed three-layer framework streamline the information phase of VE practices. The developed platform allows the VE team to review multi-format information virtually, simultaneously, freely and as many times as necessary. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-05 DOI: 10.1108/ECAM-06-2024-0715 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Gopinath Selvam, Mohan Kamalanandhini, Muthuvel Velpandian, Rohit Hariharan, Srikanth Mohanakrishna, Varatharajan Thirumurugan Abstract: Rapid urbanization and economic progress generate a significant quantity of waste from the built environment. Unawareness among the key stakeholders about the statutory requirements for waste management leads to ineffective practices and severe environmental concerns. The aim of this study is to develop an integrated statutory waste management framework (ISWMF) for the built environment to identify and implement the legal aspects of waste management practices in a national context. About eight waste management rules were considered to identify the statutory requirements from the Ministry of Environment, Forest and Climate Change, Government of India. A total of 12 statutory requirements for the seven organizational contexts were identified. Through inferential statistics, stakeholder awareness about the legal requirements of waste management practices was assessed. An integrated statutory waste management framework was developed and evaluated by implementing it in a one-year case study project. The results observed that 70% of stakeholders in the built environment are unaware of the statutory requirements for the waste management practices. The framework’s adoption correctly identified the statutory requirements for waste management practices in different organizational contexts. Implementing the statutory requirements in the case study project resulted in a reduction of 308 tons of CO2 emissions. Furthermore, the circular economy promoted 35.67 tons of recyclable materials. Also, enabled the organization to maintain all the compliance requirements related to the aspects of waste management. The researchers will use the findings to understand the statutory requirements for waste management practices in the built environment. A continuous improvement interface shall be further developed to synchronize the upcoming amendments or changes in the statutory requirements. The research findings will enable industry practitioners or any organization to identify and understand their statutory requirements for waste management practices. Implementing the framework will mutually benefit the organization and the environment. The research findings promote awareness about the statutory requirements of waste management practices among the stakeholders in the built environment. Furthermore, the actual implementation of the proposed framework significantly increases recycling promotion and reduces the environmental CO2 footprint. This study is the first to take into account the actual statutory requirements for various wastes generated from the built environment within a national context. The proposed framework can also be applied in other national contexts, taking into account the relevant waste management rules and acts. Additionally, the reported benefits encompass both environmental and economic aspects. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-05 DOI: 10.1108/ECAM-09-2024-1239 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Xuan zhao, Rui lu Abstract: Linear projects often involve lengthy construction periods, necessitating dynamic adjustments to the plan. Completely rescheduling remaining activities every time can lead to unnecessary time and cost wastage and significant deviations in resource supply. To address these issues, this paper proposes a dynamic scheduling method designed to effectively manage both time and cost during construction projects. Determining the rescheduling frequency through a hybrid driving strategy and buffer mechanism, introducing rolling window technology to determine the scope of local rescheduling and constructing a local rescheduling model under the constraints of time and cost deviation with the objective of minimizing the cost. Combined decision-making for construction and rushing modes constrained by multiple construction scenarios. Opposite learning is introduced to optimize the hybrid algorithm solution. Arithmetic examples and cases confirm the model’s feasibility and applicability. The results indicate that (1) continuous rescheduling throughout project construction is essential and effective and (2) a well-structured buffer mechanism can prevent redundant rescheduling and enhance overall control of cost and schedule deviations. This study introduces an innovative dynamic scheduling framework for linear engineering, offering a method for effectively controlling schedule deviations during construction. The developed model enhances rescheduling efficiency and introduces a combined quantization strategy to increase the model’s applicability to linear engineering. This model emerges as a promising decision support tool, facilitating the implementation of sustainable construction scheduling practices. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-04 DOI: 10.1108/ECAM-07-2024-0986 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Hossam Mohamed Toma, Ahmed Nagy Abdelazim, Ahmed H. Ibrahim Abstract: The cost and duration estimation process is important to be monitored and controlled in construction projects. Estimation variation from actuals presents a problem when attempting to complete a project on planned time and budget. Various studies cover project performance monitoring with different cost and time performance indices. Nevertheless, project monitoring techniques do not take advantage of the available data to assess the performance and accuracy of estimates developed by the estimation team. This research proposes using statistical process control (SPC) to assess the consistency and stability of the estimation of activities’ costs and durations. The proposed system calculates the deviation of the estimated costs and durations from the actual values. These calculations are the activities’ indices that are used to plot the control chart. The process capability analysis (PCA) is used to determine the accuracy deviation of the estimations from the organization’s targets. Results of the proposed system application to a real project determine the activities that have inaccurate cost and duration estimations. This result helps the estimation departments to analyze reasons for inaccurate estimations. The proposed system is an easy, effective tool for continuous improvement to the performance of the estimation department. Some projects are classified as troubled projects when calculating the status of the project with reference to estimations, while the estimations themselves are troubled and need to be corrected. The proposed system of this paper is considered a novel approach by using SPC techniques such as control charts and process capability analysis for continuous monitoring and assessing of cost and duration estimation process performance to improve process accuracy and increase the credibility of estimation teams or departments. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-04 DOI: 10.1108/ECAM-08-2024-0995 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Ayodeji Emmanuel Oke, John Ogbeleakhu Aliu, Oluwatayo Timothy Jesudaju, Ayodele Thomas Fagbe, Douglas Aghimien, Clinton Ohis Aigbavboa Abstract: Digital technologies (DTs) have the potential to revolutionize various aspects of heavy engineering projects by providing innovative solutions to traditional challenges. Therefore, this study explores and identifies critical areas for implementing DTs in heavy engineering projects in Lagos State, Nigeria, to increase productivity, reduce costs and enhance project delivery. A quantitative research approach informed the formulation of a structured questionnaire, which was then disseminated to construction professionals. The data obtained were analyzed using the Statistical Package for the Social Sciences (SPSS). The relative importance index (RII) was employed to rank the significance of each application area. Exploratory factor analysis (EFA) then grouped the various application areas for DTs before fuzzy synthetic evaluation (FSE) was used to evaluate the significance of the identified key categories. Based on the RII, the top five significant application areas identified were project management, cost estimation and budgeting, quality assurance and control, risk management and mitigation and construction site management. These areas were further grouped into three clusters: pre-construction phase, construction phase and post-construction phase. A majority of existing studies have been focused on regular construction projects, with limited research addressing the unique challenges and opportunities within heavy engineering projects. This study fills this gap by specifically examining the implementation of DTs in heavy engineering projects, offering sector-specific insights that are distinct from those in regular construction. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-04 DOI: 10.1108/ECAM-08-2024-1043 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Madushika U.G.D., Weisheng Lu Abstract: Structural equation modelling (SEM) is a universal statistical tool used in different disciplines to visualise and validate multiple correlations concurrently. However, the potential application of SEM in construction management studies is less defined within the existing literature. Hence, the present paper reviews and organise the scattered knowledge on SEM applications in the construction management research domain along with the gaps and emerging areas. This study followed a step methodological approach including (1) journal selection, (2) relevant paper selection and (3) qualitative analysis to obtain a comprehensive overview of SEM applications in the construction management area. The present paper reviews the 262 SEM-based articles published in 17 selected peer-reviewed journals from 2014 to 2024, June. Yearly publication trends have identified the steady growth of SEM-related publications over time, with notable publication growth observed starting in 2020. Safety management and green or sustainable construction are the most popular SEM applications in this field. The study findings further stated that CB-SEM via AMOS and PLS-SEM using Smart-PLS software were the widely applied tools in SEM applications. Furthermore, reviewed articles highlight certain discrepancies between the main SEM approaches in terms of research methods, model creation and assessment. The latter part of the study includes a detailed explanation of the common issues and recommendations for using SEM. The study gives an insightful guidance framework for future researchers interested in SEM in construction management. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-04 DOI: 10.1108/ECAM-08-2024-1161 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Xiaowei Wang, Yang Yang, Albert P.C. Chan, Hung-lin Chi, Janet Mayowa Nwaogu Abstract: The rapid advancement of unmanned aerial vehicles (UAVs) presents significant opportunities for the architecture, engineering and construction (AEC) industry. However, despite their potential, UAV applications face numerous barriers, including technical, regulatory and safety challenges, which hinder their widespread adoption. While existing research highlights these challenges, it provides limited guidance on comprehensive strategies to address them, which in turn may hinder the wider adoption of UAVs. This study seeks to fill this gap by identifying the multi-dimensional challenges associated with UAVs in AEC and developing a strategic roadmap that offers actionable insights for stakeholders, facilitating safer and more efficient UAV integration. The 24 interviews were conducted to identify the challenges and potential strategies of UAV applications in the AEC industry. Thematic analysis was used to analyze the collected text contents, qualitative analysis was used to construct a conceptual strategy roadmap and focus group meetings were used to verify the roadmap. The primary technical challenges include short battery life, loss of global positioning system (GPS)/compass and UAV magnetic interference. The critical safety risks are collisions, falls and absence of safety awareness among remote pilots and workers. Additionally, some practitioners struggled to meet operational requirements while maintaining the productivity of AEC flight operations. Furthermore, existing remote pilot training programs are generic and lack trade-specific training content. Despite the valuable benefits and contributions of this study, it is essential to acknowledge certain limitations encountered, which are outlined below. It is essential to note that the respondents in this study primarily came from Hong Kong, and the challenges may vary in different countries or regions. However, it is worth mentioning that the study interviewed specialists with international project experience who provided their insights from a global perspective. This study contributes to a better understanding of the multi-dimensional challenges and strategies of UAV adoption in the AEC industry. The strategic roadmap will guide stakeholders to take proper actions for the safe integration of UAVs into the AEC industry. This empirical study contributes to understanding stakeholders’ needs and engagement with regard to the new technology adoption. It also proposes a novel strategic roadmap for addressing the challenges through collaborative efforts among all relevant stakeholders, promoting safe and efficient UAV uses in the AEC sector. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-04 DOI: 10.1108/ECAM-09-2024-1185 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Jieh-Haur Chen, Mu-Chun Su, Wei-Jen Lin, Tzuyang Yu, Kai-Yuan Wu Abstract: The research objective is to establish a smart system for building operation and maintenance using self-organizing map-based cluster merging (SOMCM) algorithm. The process begins with a thorough literature review to establish the interface framework, followed by its design. An empirical study in Taoyuan City’s industrial park, involving 46 buildings and 3,526 maintenance records, informed development. By integrating the “Shared Facility Management System Equipment Repair Module” and the “Maintenance Management System for Existing Facilities,” 21 enhanced interface components were created. All work orders are stored in a database for aggregation, statistical analysis and clustering using the algorithm SOMCM, aiding repair decision-making. The outcomes stemming from the proposed methodology culminate in the identification of seven patterns that can significantly enhance the efficiency of maintenance operations: (1) simplify current self-repair to outsourcing; (2) modify the current traditional contract type to open contract type; (3) adopt massive procurement for major facilities (e.g. air conditioning); (4) schedule power supply systems in a systematic and efficient way; (5) establish maintenance patterns as suggested to eliminate warehouse for spares; (6) reallocate maintenance resources in a seasonal cycle; (7) set up a standby team to resolve emergency repairs. The findings can reduce a significant amount of time and cost for the investigated industrial park. Maintenance work has faced delays, aging equipment has caused component damage, and park structures no longer meet operational needs. Addressing these challenges, the study introduces a novel SOMCM approach for smart building operation and maintenance. This approach emphasizes creating a user-friendly, practical system pivotal to platform success. By integrating demand-driven strategies, it enhances traditional maintenance processes and offers innovative solutions to operational and management issues, ensuring alignment with modern requirements and improved efficiency. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-03 DOI: 10.1108/ECAM-08-2024-1057 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Tian Xu, Zhanping Song, Shengyuan Fan, Desai Guo Abstract: The assessment of risk to existing tunnels within the context of pit construction is influenced by a multitude of factors. The conventional fuzzy analytic hierarchy process (FAHP) method may lack precision due to its inability to incorporate the inherent randomness associated with numerous risk factors. To enhance the precision of risk evaluation for existing tunnels, this research introduces an improved FAHP approach grounded in cloud modeling theory. We developed a risk assessment index system for existing tunnels, categorizing risk sources into three areas: hydrogeological conditions, foundation pit construction and tunnel structural bearing capacity. The system includes 11 evaluation indicators linked to these sources, with defined risk level thresholds for each. Using the cloud model, we calculated the membership degree of these indicators to risk levels, replacing traditional membership function formulas. The cloud model’s three digital characteristics (Ex, En and He) account for the randomness and ambiguity between qualitative descriptions and quantitative values, enhancing assessment accuracy. We applied hierarchical analysis to determine the weights of each risk factor and combined these with the membership degrees to evaluate overall risk levels. Engineering applications and model comparisons confirmed the method’s reliability, while sensitivity analysis identified key risk indicators affecting evaluation outcomes, allowing for targeted risk control measures to safeguard existing tunnels during foundation pit construction. The evaluation results of engineering applications show the same results with the traditional FAHP method, which proves the reliability of the improved method. Furthermore, when comparing the evaluation result vectors between the two methods, it is observed that the outcomes of the improved method are more concentrated on a specific risk level compared to the traditional FAHP. This concentration mitigates the potential for bias in the evaluation results, thereby enhancing their accuracy. Through sensitivity analysis, four indicators were identified to have a significant influence on the evaluation result. After implementing targeted risk control measures, a downgrade in risk level to III was revealed. This aligns with the actual construction circumstances, as no safety incidents occurred in the Line 1 metro tunnel throughout the duration of the pit construction. This confirms the efficacy of the measures taken based on the evaluation results. The novelty of this study is demonstrated through two key advancements. First, in response to the lack of a mature evaluation index system for risk assessment of existing tunnels during pit construction, the authors have meticulously curated a comprehensive risk evaluation index system. This system provides a valuable reference for the selection of appropriate risk evaluation indices in similar projects. Second, building upon the established index system, the study introduces a cloud model FAHP risk evaluation method. This method automates the generation of the membership degree between indicators and risk levels. The improved method has good reliability for the risk evaluation of existing tunnels, and it can provide decision-making reference for related studies when they carry out risk evaluations of similar projects. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-28 DOI: 10.1108/ECAM-07-2023-0736 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Weisheng Lu, Liupengfei Wu, Zhongze Yang, Ziyu Peng, Louis Chu Abstract: This study aims to develop an agile blockchain as a service (aBaaS) framework for construction projects, which will support blockchain design, deployment and operation in a flexible, agile and cost-effective manner. This research adopts a design science research method. The aBaaS framework is then substantiated through two case studies pertinent to construction projects. It is found to be highly flexible, achieving high completion rates in customizing the design, deployment and visualization of blockchain systems within given periods. Also, the aBaaS framework is highly agile and cost-effective, capable of responding to changes with low person-day units and labor cost. Limited sub-service components are built in design management as services (DMSs), deployment as services (DESs) and visualization as services (VISs) of aBaaS framework. This research offers a reference for those aiming to realize the potential of blockchain in construction projects. Firstly, it introduces a novel, flexible modular-build DMSs method to help system developers design blockchain systems for projects. Secondly, it improves the blockchain deployment methods by offering plug-and-play DESs for projects. Thirdly, it accelerates the visualization processes for blockchain users in projects by offering them flexible, click-to-go and cost-effective VISs. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-28 DOI: 10.1108/ECAM-08-2024-1074 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Edmund Nduro, Bismark Duodu Abstract: The present study explored the interrelationships between intellectual capital (IC) dimensions, inbound open innovation (IOI) and construction firm performance. A quantitative approach was chosen for this study. Data were collected from 130 construction firms in Ghana using survey questionnaires. Partial least squares structural equation modelling was employed to test the hypotheses of the study. The results indicate that while human capital and structural capital both have direct effects on IOI, relational capital does not. IOI positively influences firm performance (FP) linearly but shows a curvilinear (inverted U-shaped) relationship with FP at higher levels of IOI. IOI has a partial mediating effect in the relationships between human or structural capital and FP but does not show any mediation between relational capital and FP. To the best of the authors’ knowledge, this study is among the first to explore the influence of inbound open innovation on the performance of project-based firms, such as construction, as well as the role of inbound open innovation as a mediator between firms’ intellectual capital and performance in the general management and the construction management literature. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-27 DOI: 10.1108/ECAM-09-2024-1262 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Lin Zhang, Jing Zhou, Hong Xue Abstract: Prefabricated building projects (PBPs) require multiple stakeholder collaboration due to the strong linkages between the design, production and installment of the precast components. Current contractual governance fails to foster a trusting environment for stakeholder collaboration, leading to conflicts of interest, cost overrun and delays in project schedules. Previous studies revealed that terminating shortcomings in contractual governance can be mitigated by implementing relational governance mechanisms. This study aims to explore the configurational effects of contractual and relational governance mechanisms on stakeholder collaboration in PBPs and identifies the practical configurational conditions to achieve high stakeholder collaboration. Data were collected from 39 experts through semi-structured interviews and analyzed to explore the configuration effects on stakeholder collaboration in PBPs through fuzzy-set qualitative comparative analysis (fsQCA). Our study reveals that stakeholder collaboration requires configurational conditions of multiple governance elements (i.e. historical working experience and risk-sharing, reward, selection, authorization, trust, commitment and communication mechanisms). Four equivalent configurational strategies were identified for achieving high stakeholder collaboration in PBPs. These included three configurational strategies dominated by relational governance mechanisms and one configurational strategy complementary to contractual and relational governance mechanisms. The configurations dominated by relational governance mechanisms were developed with communication mechanisms and historical working experiences as core conditions; the configurational strategy with complementary contractual and relational governance mechanisms was centered on risk-sharing, reward and trust mechanisms as core conditions. Our study enriches the literature on the antecedents of stakeholder collaboration in the PBPs by testing the significance of the relational governance mechanism, which expands the implications of relational contract theory. It also expands the implications of stakeholder theory in PBPs by exploring the asymmetric causal relationship between project contractual governance and stakeholder collaboration. Meanwhile, this study recommends countermeasures for managers to improve stakeholder collaboration by providing four practical configurational conditions in PBPs. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-25 DOI: 10.1108/ECAM-06-2024-0798 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Zidan Tian, Ting Wang, Kaiwen Jiang, Qinghua He, Yutong Xue, Xiaoyan Chen Abstract: Recent studies suggested that owner dynamic capabilities (ODCs) enabling public owners of megaprojects to activate, orchestrate and reorganize resources to uncertainties were beneficial to improving the project resilience of megaprojects. However, most of them pay insufficient attention to the specific context of long cycles and deep uncertainty in megaprojects, neglecting the causal complexity that different dimensions of ODCs and learning mechanisms interact with each other in terms of enhancing project resilience. Therefore, this study aims to systematically unveil the complex causality among ODCs, learning mechanisms and project resilience of megaprojects. This study introduces a configurational perspective to explore how multi-dimensional ODCs combine to improve project resilience in megaprojects along with different organizational learning mechanisms and learning orientations. Based on 330 ODC events in 19 construction megaprojects, a multi-temporal crisp-set qualitative comparative analysis method is adopted to extract configurations of ODCs for project resilience improvement and unveil their evolution features over the whole megaproject lifecycle. Six configurations are identified for improving project resilience in megaprojects, including cognition-dominant, cognition-deficient, transformation-dominant, innovation-driven, value-co-creation and exploitative-transformation configurations. The results also indicate that distinct megaproject stages appeal to corresponding ODC configurations for project resilience improvement under unique uncertain contexts. This study not only makes theoretical contributions to the literature on dynamic capability and project resilience in the megaproject management field but also provides useful practical guidance for public owners of megaprojects to better utilize ODCs for project resilience improvement. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-25 DOI: 10.1108/ECAM-08-2024-1028 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:M. R. Rajesh, D.A. Patel, V.H. Lad Abstract: The utilization of the new track construction (NTC) machine in the dedicated freight corridor (DFC) project in India proved to be counterproductive due to various uncertain and dynamic factors. This study aims to develop the model and simulate the productivity of the NTC machine considering system dynamic factors encountered during the construction phase of the project. The study employs a fuzzy system dynamics (FSD) model to analyse the productivity of the NTC machine. Initially, 21 variables related to the construction productivity of equipment-intensive activities are identified using exploratory factor analysis (EFA). A stock-and-flow diagram is then developed to examine the interdependencies among these variables. The FSD model integrates hard relationships via mathematical formulas and soft relationships using fuzzy measures and integrals. The model’s structure and behaviour are validated through dimension consistency, structure verification and pattern verification tests. The results indicate that key system variables, such as site restrictions, weather and site conditions, unscheduled breaks and functional range, significantly influence the productivity of the NTC machine. The study also indicates the importance of human expertise, operator’s experience and crew coordination skill as influencing system variables in equipment productivity. This study provides insights in managing complex and dynamic factors affecting the productivity of the NTC machine used large-scale rail construction projects. This study offers a novel application of FSD to address productivity challenges of this special equipment in the new rail track construction projects. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-25 DOI: 10.1108/ECAM-08-2024-1151 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Ying Ma, Nava Raj Bhatt, Qianlong Wu, Mandeep Pokharel Abstract: This study introduces the heritage city risk dimension of the urban rail transit (URT) projects. It aims to identify the risk factors affecting URT projects within the unique context of heritage-rich cities, exploring their interrelation and evaluating critical factors. The research adopts a multi-case exploratory study to identify the unique challenges faced by URT projects in heritage-rich environments, followed by a comprehensive risk assessment framework integrating Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL), Analytic Network Process (ANP) and Risk Interaction Network (RIN) analysis to assess identified risks in the context of Kathmandu Valley. Additionally, a risk response action is simulated using RIN analysis. About 16 risk factors were identified from the case studies and evaluated using the proposed risk assessment methodology. The study reveals a highly interconnected risk environment, with heritage impact-related factors exerting the strongest causative influence on cost and social engagement factors. Community opposition (R8) shows the highest betweenness centrality, indicating its central position in risk propagation across the network. Cost-related risk, social demand contingency (R2) ranked as the most critical. Simulations of a targeted risk avoidance strategy showed that addressing only three key high-betweenness centrality factors (R5, R8 and R15) reduced overall risk interactions by 46%, simplifying the risk network, reducing project complexity and improving manageability. The findings emphasize that project managers, urban planners and policymakers should integrate heritage preservation concerns when planning and executing URT projects in heritage-rich cities. Moreover, the research highlights that effective community engagement serves as a key strategy for reducing risk propagation and plays a crucial role in overall project risk management. The study contributes to the underexplored context of URT projects in heritage-rich cities, providing a comprehensive risk management framework for identifying and assessing project risks intersecting with urban development imperatives and heritage conservation objectives. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-25 DOI: 10.1108/ECAM-09-2024-1236 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Rashed Alotaibi, M. Sohail, F.T. Edum-Fotwe, Robby Soetanto Abstract: Many construction projects exhibit poor performance in terms of fulfilling predetermined schedules and financial objectives. Project control systems (PCSs) have been used to enhance construction project performance; however, a comprehensive framework regarding the key determinants of PCS effectiveness is lacking. Herein, the determinants for effective PCSs that can improve construction project performance were comprehensively identified by evaluating existing studies. A systematic strategy following the preferred reporting items for systematic reviews and meta-analyses protocol was employed to search for and select relevant studies, followed by a qualitative synthesis. The significance of incorporating and managing many factors associated with PCS for effective project delivery was elucidated. The study synthesized 12 key determinants and 29 sub-determinants of PCS effectiveness in project delivery and grouped them into organizational, human, technological and operational categories. Out of the four categories examined, operational aspects received the most references, underscoring their critical role in PCS effectiveness, while human-related dimensions received the least amount of attention in the reviewed research, accounting for 4%. This also revealed a significant gap in the research addressing the interactions between all PCS aspects. Understanding of the variables influencing PCS effectiveness in construction project delivery was enhanced, and a framework for future PCS research in five dominant areas was created. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-24 DOI: 10.1108/ECAM-04-2024-0529 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Hyeongjun Mun, Jaewook Jeong, Jaemin Jeong, Louis Kumi Abstract: The construction sector is highly prone to accidents, traditionally assessed using subjective qualitative measurements. To enhance the allocation of risk management resources and identify high-risk projects during pre-construction, an objective and quantitative approach is necessary. This study introduces a three-step clustering methodology to quantitatively evaluate accident risk levels in construction projects. In the first step, accident and total construction revenue by project were collected to calculate accident probabilities. In the second step, accident probabilities were calculated by project type using the data collected in the first step. After that, benchmark models were suggested using clustering methods to identify high-risk project types for risk management. Before suggesting the benchmark models, an uncertainty analysis was conducted due to the limited amount of data. In the third step, the suggested benchmark models were validated for accuracy. The results categorized risk levels for fatalities and injuries into four distinct groups. Validation through ordinal logistic regression demonstrated high explanatory power, with fatality risk levels ranging from 79.9 to 100% and injury risk levels from 90.3 to 100%. This benchmark model facilitates effective comparisons and analyses across various construction sectors and countries, offering a robust quantitative standard for risk management. By identifying high-risk projects such as “Dam,” this methodology enables better resource allocation during the pre-construction phase, thereby improving overall safety management in the construction industry and providing a basis for legislative applications. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-24 DOI: 10.1108/ECAM-06-2024-0815 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Guiwen Liu, Ziyi Qin, Hongjuan Wu, Ling Jia, Jihuan Zhuo Abstract: Prefabricated building (PB) has been a pivotal force in advancing global building industrialization and sustainability. However, the PB supply chain operation faces significant challenges of exhausting negotiations, poor communication and imperfect information, representing high transaction costs (TCs). Existing literature inadequately addresses governance behaviors to mitigate TCs. This study aims to explore PB supply chain inefficiencies through the lens of TC theory, examining the nuanced relationships between hybrid governance behaviors and TCs and exploring effective governance strategies. Based on the theoretical frameworks of governance behavior and TCs, this study employed semi-structured interviews and questionnaire surveys with PB experts in Anhui, China. Subsequently, integrated backpropagation neural network and ordered logistic regression analyses were conducted to identify critical governance behaviors and explore boundaries for TCs reduction. TCs of the PB supply chain are elevated (1) from communication and coordination; (2) during the construction and approval stages. Investigation of how governance behaviors influence the TCs indicated that (1) enterprises exert more influence than local governments; (2) governance effectiveness in the transaction and transaction environment dimensions outweighs stakeholder influence and (3) functional TCs exist in PB, associated with component manufacturing, PB contract negotiation and learning cost. This study extends understanding of TCs in PB by providing nuanced insights into the nature and timing of TCs and elucidates how governance structures shape TCs. Functional TCs intrinsic to PB were identified when exploring the optimization boundaries. These insights equip local governments and enterprises with actionable knowledge to prioritize effective governance behaviors and measures. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-21 DOI: 10.1108/ECAM-08-2024-0992 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Sevilay Demirkesen Abstract: This study aims to reveal the main causes of the sunk cost fallacy in construction projects. Thus, it is expected that sunk costs can be avoided, which have a big impact on construction costs. The construction industry is fragmented and dynamic. Therefore, it is vulnerable to several risks such as time, cost and labor-related risks. The complexity and fragmented nature of construction projects brings up the need for high financial investment funds. In some cases, this results in sunk costs that cannot be recovered. A considerable amount of sunk costs occurs due to the sunk cost fallacy meaning that construction practitioners feel responsible for completing the projects despite unsuccessful project performance indicators due to various reasons such as client pressure, restricting regulations and the need to develop a good reputation considering future projects. However, the sunk cost fallacy can sometimes result in irrecoverable losses, which can badly affect a firm’s reputation regarding future projects. In this respect, a total of 207 industry practitioners were surveyed to determine the main causes of the sunk cost fallacy. The causes were then ranked based on the order of importance, and weights were assigned for each cause determined. Concerning such ranking and weighting, the most essential causes were revealed. Moreover, the study presents a total of 4 case studies, which are mega projects that came up with sunk costs. The cases are presented to support the main causes of the sunk cost fallacy exploring from which the sunk cost fallacy stems. The lack of research on sunk cost fallacy in the construction industry makes this study novel in the fact that a large sample provides data regarding the causes of sunk cost fallacy. The findings of this study can guide both industry practitioners and policymakers in terms of developing strategies to avoid sunk costs and experience higher success rates in their projects. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-21 DOI: 10.1108/ECAM-10-2024-1322 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Yiling Gao, Chen Wang, Liping Huang, Defa Wang, Zhibin Chen Abstract: To help supervisors understand the positions of workers in real-time, provide safety guidance for workers and reduce the occurrence of accidents. This study proposes a real-time positioning algorithm based on multi-source information coupling, aiming to solve the problem of workers’ autonomous positioning in signal-blind areas. The proposed algorithm utilizes the visual SLAM and IMU sensors to perceive the environment, construct three-dimensional images, improve the accuracy of corner point matching, pre-integrate the raw IMU data, and adopt the tightly coupled method to couple the visual and inertial navigation data, thereby establishing a binocular visual SLAM and IMU coupling real-time positioning model. The real-time positioning technology based on the coupling of visual SLAM and IMU shows good positioning effect and calculation speed in indoor sites, has good adaptability and accuracy in different building construction scenarios, and the positioning error can be controlled within 3%. The successful construction of the real-time positioning method effectively alleviates the problem of inaccurate positioning caused by signal blind areas in the existing positioning management system, helps protect the lives and safety of construction site workers and improves the management efficiency of construction site supervisors. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-20 DOI: 10.1108/ECAM-08-2024-1091 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Thao Nguyen Thach, Minh Van Nguyen, Ha Duy Khanh, Chien Thanh Phan, Yonghan Ahn Abstract: Unlike the design or planning phases, the construction phase necessitates the coordination of multiple project stakeholders, real-time problem-solving and effectively managing physical resources under fluctuating site conditions. However, recent green rating systems are not yet designed to accommodate the unique nature of this stage. Thus, this study aims to develop an empirical measurement model to evaluate the performance of green construction sites (GCS), focusing on the Vietnamese construction industry. Initially, a list of assessment criteria was identified by reviewing previous studies and semi-structured interviews. After that, a questionnaire survey was used to collect practitioners’ views regarding GCS performance. The 155 valid responses were analyzed employing the fuzzy synthetic evaluation (FSE) method. The findings showed that the performance of GCS in Vietnam is at a moderate level, with a GCS index of 5.48. Indeed, the human-related factor was the most significant performance group for GCS in Vietnam. Construction site, energy, innovation and material-related factors were among the average performance factors. Moreover, water and waste-related factors were among the lowest performance factors. This study highlights the importance of human-related factors, such as worker safety and environmental training, in achieving effective GCS performance. It is recommended that governments should enforce stricter guidelines on using low-embodied carbon materials, sustainable sourcing and effective waste management to improve GCS performance. Neighboring countries can also use valuable insights from this study to enhance their GCS performance. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-19 DOI: 10.1108/ECAM-07-2024-0839 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:C. Savindi Ranthika Perera, Valerie Francis, Shang Gao Abstract: Industry 4.0 in the construction industry (CI), also known as Construction 4.0, transforms construction projects into digital environments, integrating advanced technologies throughout each stage. This study investigated the application, maturity and adoption interest of 14 Industry 4.0-related technologies in the CI (Con4.0-tech) in Australian construction firms. Using purposive and snowball sampling, data was collected via 19 semi-structured interviews with directors, managers, innovation officers, etc. Data was then content analysed using NVivo software. The study revealed five key application areas for Con4.0-tech: real-time data capture, digital communication, data analysis, visualisation and off-site construction. While the level of technology use varied, the research suggests a clear shift towards technology-driven practices in Australian construction. An interesting finding is the direct correlation between technology maturity and its use. Construction firms demonstrated a stronger preference for established technologies with proven value. Notably, innovative firms actively explore new technologies, while others wait for broader industry adoption before integrating them. This research uniquely explores the adoption of Con4.0-tech within Australian construction firms, providing a novel perspective on current industry practices. The empirical evidence offers valuable implications for driving technological advancement and enhancing construction project delivery. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-18 DOI: 10.1108/ECAM-07-2024-0976 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Masood Karamoozian, Hong Zhang Abstract: This study explores the revolutionary potential of merging building information modeling (BIM) and ultra-high performance concrete (UHPC) in prefabricated shell building design, aiming to redefine the architectural landscape. The study employs a mixed-methods approach, combining quantitative analysis of structural performance data with qualitative case studies of real-world applications. Specific methods include finite element analysis (FEA) for assessing structural integrity and interviews with industry experts to gather insights on practical implementation. The integration of BIM and UHPC enables the design of structures that are efficient, sustainable and architecturally innovative. Key findings include improved load-bearing capacity, reduced material usage and enhanced design flexibility. The study focuses on technical aspects, with limited exploration of economic or regulatory factors. Future research could address these areas to provide a more comprehensive understanding. The findings offer valuable insights for architects, engineers and construction professionals, demonstrating how BIM and UHPC can enhance the efficiency, sustainability and aesthetic appeal of prefabricated shell building designs. The adoption of BIM and UHPC in prefabricated shell building design promotes the creation of robust and eco-friendly built environments, contributing to societal well-being through enhanced sustainability and reduced carbon footprints. This study provides a novel perspective on the synergistic use of BIM and UHPC, offering justifications through empirical data and expert testimonials that highlight the unique advantages of this integration in modern construction. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-17 DOI: 10.1108/ECAM-05-2024-0548 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Ali Rahimian, Keivan Sadeghzadeh, Saeed Reza Mohandes, Igor Martek, Patrick Manu, Maxwell Fordjour Antwi-Afari, Sajjad Mirvalad, Ibrahim Odeh Abstract: Following the job demands-resources theory, this study investigates the role of female managers in enhancing employee well-being in terms of psychological health via workplace resources. To accomplish this objective, we conducted a comprehensive literature review to identify key IPS. Subsequently, a fuzzy-based algorithm was employed to prioritize these skills. Following this, we developed an algorithm based on Extreme Gradient Boosting (XGBoost) to predict the quality of workers’ IC. The efficacy of the XGBoost model was assessed by applying it to three real-life construction projects. Upon application of the model to the case studies, we made the following conclusions: (1) “Leadership Style,” “Listening,” “Team Building” and “Clarifying Expectations” emerged as significant skills and (2) the model accurately predicted workers’ IC quality in over 78% of the cases. This algorithm has the potential to preempt interpersonal conflicts, enhancing job-site productivity, team development and human resources management. Furthermore, it can guide construction managers in designing IPS training programs. This study contributes to the existing knowledge by addressing the crucial connection between IPS and IC quality in construction projects. Additionally, our novel approach, integrating fuzzy logic and XGBoost, provides a valuable tool for IC prediction. By identifying significant IPS and offering predictive insights, this research facilitates improved communication and collaboration in the construction industry, ultimately enhancing project outcomes. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-14 DOI: 10.1108/ECAM-09-2023-0958 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Zhenxu Guo, Qing’e Wang, Haofei Jing, Qixin Gao Abstract: Mega construction projects (megaprojects) require technological innovation cooperation (TIC) to address complex construction demands and the interests of multiple stakeholders. Although TIC has been extensively discussed at the firm level, a significant gap remains in understanding megaprojects at the project level. This paper aims to identify TIC’s influencing factors and transmission paths and discuss stakeholders’ TIC mechanisms at the project level. Based on case analysis, expert interviews, literature analysis and the Delphi method, this paper identifies the influencing factors of TIC in megaprojects at the project level. A structural system of these influencing factors is constructed by interpretive structural modeling (ISM), developing various mechanisms for TIC from bottom to top. The Matriced’ Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) method validates the driving forces and dependencies of the influencing factors, clarifying their roles and positions within the system. Additionally, the TIC mechanism is constructed. The research findings identify 26 influencing factors categorized into four hierarchical levels: cooperative relationships, cooperative behavior, cooperative performance and technological innovation risks. Regarding direct factors, resource sharing affects goal congruence and communication effectiveness in megaprojects, affecting TIC’s satisfaction and trust. Most factors exist in the middle layer, and bridging the upper and lower levels depends on stakeholder collaboration. The root factors in the independent group significantly impact TIC, including policy circumstances, high technical requirements and limited site conditions. Addressing these issues influences improvements in other factors. The development of a digital resource-sharing platform, the enhancement of innovation incentives, the optimization of benefit distribution mechanisms and the improvement of risk-sharing mechanisms are essential for the effective operation of the TIC mechanism. This study contributes to identifying and classifying challenges and opportunities in TIC. It explores transmission paths for enhancing TIC and presents strategies for successfully implementing and delivering megaprojects. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-14 DOI: 10.1108/ECAM-09-2024-1267 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Helen Lingard, Michelle Turner, Payam Pirzadeh Abstract: Work factors affecting the career intentions of young construction workers in structured traineeship programs are not well understood despite the increasing use of such programs as pathways to career entry. To address this gap, work factors affecting the career intentions of participants in a construction-related traineeship program were investigated. A questionnaire comprising measures of organisational fairness, organisation inclusion, time for life, job characteristics, and intention to pursue a career in construction was administered to 136 Australian trainees. Bivariate and logistic regression analysis explored the relationships and combined effects of work factors on career intention. Trainees’ perceptions of the needs-supplies component of person-job (P-J) fit were a strong and significant predictor of their intention to pursue a career in construction on completion of the traineeship program. Specifically, the greater the extent to which trainees perceived a job in construction would satisfy their needs, desires or preferences, the more likely they were to indicate they would pursue a career in construction. Findings provide new insights that can help to improve the industry’s ability to attract and retain school leavers in employment which is especially critical in light of the skills shortage facing the Australian construction sector. The instrument used to measure subjective needs-supplies (P-J) fit enabled a fine-grained analysis of job characteristics considered important by trainees and their perceived availability in construction. Job characteristics relating to having work-life balance and health and wellbeing were of high importance but were perceived to be low in availability in construction jobs. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-13 DOI: 10.1108/ECAM-08-2024-1125 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Ziyi Liu, Zebin Wu, Jianglin Gu Abstract: During the cooperation process between prefabricated building construction enterprises (PBCEs) and Internet platforms (IPs), the sentiments of both parties influence their behavioral strategies. They are the key to improving the informatization and operational efficiency of the prefabricated building industry chain (PBIC). This paper introduces mental accounting theory and rank-dependent expected utility theory to construct the MA-RDEU game model, exploring the evolutionary mechanism between sentiment and behavioral strategies of PBCEs and IPs. The study indicates that (1) a mixed strategy equilibrium can be achieved when both parties have no sentiments. (2) PBCEs and IPs are more likely to achieve an optimal equilibrium for cooperation if the latter is optimistic. In contrast, pessimism may lead both parties to prioritize self-interest when only one party has a sentiment. (3) The combined impact of sentiments and behavioral strategies on decision-making is significant: the influence of sentiments from PBCEs or IPs on the optimal strategy for achieving cooperation is contingent upon the behavioral strategies of the other party; different behavioral strategies of IPs or PBCEs can have varying effects on sentiments when both parties have sentiments. (4) The influence of external factors on the sentiments and behavior strategies of PBCEs and IPs is apparent. PBCEs and IPs should concurrently consider the combined influence of external factors and sentiments to contribute to the realization of cooperation between the two parties. Additionally, government supervision is an effective means to restrain “free-riding” behavior. Finally, based on the above conclusions, the paper proposes measures to improve the construction of service-oriented IPs and establish a mechanism for monitoring and adjusting risk sentiments. Meanwhile, this paper also indicates that under the combined effect of the government, PBCEs and IPs, the influence of external factors on sentiments can be maintained within a controllable scope and the risks of uncertainty can be mitigated. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-13 DOI: 10.1108/ECAM-09-2024-1299 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Yingli Wang, Qinghua He, Jianxun Xie, Zilun Wang Abstract: The increasing unexpected contingencies make resilience indispensable for project teams. Drawn on input–process–outcome (IPO) framework, this study aims to investigate how and when team mindfulness (i.e. input) fosters team resilience (i.e. outcome) via team formalization and team improvisation (i.e. process) under boundary conditions of the shared mental model. By conducting a three-wave research design, this paper collects 312 questionaries from the Chinese construction industry. The proposed hypotheses were tested by hierarchical regression analysis and structural equation modeling. The results confirm that team mindfulness exerts a positive effect on team resilience. The positive relationship is mediated by team formalization and team improvisation. In addition, the shared mental model serves as a buffering moderator between team mindfulness and team resilience via team improvisation. This study suggests managers take appropriate interventions of mindfulness to foster team resilience. Making explicit procedures for risk management and taking improvisational action appropriately are also key processes for addressing crises. This study enriches the literature on the positive prediction effect of team mindfulness on team resilience. Combining team formalization with team improvisation, this study provides new alternatives for the process variables in the IPO framework. Furthermore, this paper reveals the “dark side” of the shared mental model on the relationship between team mindfulness and team resilience. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-11 DOI: 10.1108/ECAM-09-2024-1227 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Zhijiang Wu, Mengyao Liu, Guofeng Ma, Shan Jiang Abstract: The objective of this study is to accurately predict the cost of green buildings to provide quantifiable criteria for investment decisions from investors. This study proposes a hybrid prediction model ML-based for cost prediction of GBPs and obtains prediction parameters (PPs) associated with project characteristics through data mining (DM) techniques. The model integrates a principal component analysis (PCA) method to perform parameter dimensionality reduction (PDR) on a large number of raw variables to provide independent characteristic terms. Moreover, the support vector machine (SVM) algorithm is improved to optimize the prediction results and integrated with parameter dimensionality reduction and cost prediction. The prediction results show that the mean absolute and relative errors of the hybrid prediction model proposed in this study are equal to 39.78 and 0.02, respectively, which are much lower than those of the traditional SVM model and MRA prediction model. Moreover, the hybrid prediction model with parameter dimensionality reduction also achieved better prediction accuracy (R2 = 0.319) and superior prediction accuracy for different cost terms. Theoretically, the hybrid prediction model developed in this study can reliably predict the cost while accurately capturing the characteristics of GBPs, which is a bold attempt at a comprehensive approach. Practically, this study provides developers with a new ML-based prediction model that is capable of capturing the costs of projects with ambiguous definitions and complex characteristics. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-11 DOI: 10.1108/ECAM-09-2024-1247 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Abeer Ahmed Jadoon, Mughees Aslam, Muhammad Sohail Anwar Malik, Hamza Alam Abstract: In the construction industry (CI), inaccurate loose material measurements pose waste and economic challenges, accounting for approximately one-third of project cost overruns, representing 60% of the overall construction costs. Current practices for measuring loose construction materials are riddled with errors, direct adjustments and missing real-time oversight, resulting in waste, inefficiencies and cost escalations. This study aims to address this issue by automating the weighing mechanism of loose materials while regularly monitoring them during transportation from the source. In this study, an innovative Internet of Things (IoT) solution: a smart vehicle-mounted weighing (VMW) system was developed using the smart sensors, Arduino while using C++ language. Initially, a prototype was developed and tested/ refined while experimenting on a Tractor trolley loaded with loose construction materials. Statistical methods were employed to test the validity of the developed system against traditional methods of weighing. Finally, the system was tested and optimized in a real project through a case study. The empirical findings reveal that the IoT-enabled smart weighing system achieved an accuracy exceeding 95% during rigorous field assessments. A comprehensive case study highlighted significant cost savings, with 2.7% for subbase materials and 5.94% for aggregate base materials. These results validate the successful development of the prototype, demonstrating its potential to improve material management, minimize waste, and enhance operational efficiency in construction projects while promoting sustainable practices. Few studies have addressed fully automated measurement of loose materials during transport to construction sites. This study introduces a novel IoT-enabled smart VMW system for real-time material monitoring and automated quantity takeoffs (QTOs). The system offers CI a reliable, transparent, and error-free material management tool, advancing current practices in material quantification thereby leading the CI toward sustainability using the latest technologies. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-11 DOI: 10.1108/ECAM-10-2024-1407 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Wei Liu, Zhongyi Feng, Yuehan Hu, Xiao Luo Abstract: Prefabricated building (PB) has high technical requirements and is susceptible to safety accidents, and its construction occupational health and safety (OHS) problems should not be ignored. To promote the better development of PB, this study aims to measure their construction safety management level and propose corresponding countermeasures. By systematically combing the relevant literature, this study extracts the influencing factors that appear frequently in several studies and categorizes them according to six dimensions: people, materials and components, technology, mechanical equipment, environment and system. Combining expert opinions, the measurement index system, including 6 primary indexes and 24 secondary indexes, is constructed. The structural entropy weight (SEW) method is applied to calculate the index weights. The cloud matter element (CME) model based on the weights is constructed to determine the level of construction occupational health and safety management (COHSM). A project case of a training building is used to verify it. The results obtained from the model are compared with those from other measurement models to verify the feasibility of the model in measuring the level of COHSM for PB. The calculated weights show that technology is the most important for the COHSM of PB. The management level of the project in terms of people, materials and components, technology, machinery and equipment, environment and system is Level II good. The overall safety management level is also Level II, which is good. The model of this study is consistent with other model measurements. The methodology of this study yields reasonable and realistic results. This study is the first to include occupational health dimensions in the research on the construction safety management of PB, which not only covers the key elements in traditional construction safety management but also considers the impact of the construction process, material use and technology of PB on safety management, making the measurement index system more scientific. Meanwhile, the introduction of the CME model based on the SEW method effectively solves the deficiencies of the traditional method in dealing with ambiguity and uncertainty and provides practitioners with more accurate and comprehensive measurement results. It helps practitioners formulate a more scientific management plan in combination with the actual situation and provides a guiding idea and practical path for the COHSM of similar projects. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-11 DOI: 10.1108/ECAM-10-2024-1412 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Minh Van Nguyen, Ha Duy Khanh, Chien Thanh Phan, Le Dinh Thuc Abstract: Poor mental health is a well-recognized issue in the construction sector. However, there is still little understanding of factors affecting construction employees’ awareness of mental health problems (MHP). This study aims to investigate the awareness of MHP among construction employees using the Health Belief Model (HBM). The research explores how various factors, such as perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action and self-efficacy, shape MHP awareness within the construction sector. A structured four-step research methodology was employed. First, a literature review and expert validation identified 28 variables relevant to MHP awareness. A questionnaire was then developed and distributed to construction employees in Vietnam, with 238 valid responses collected. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were employed to validate the evaluation model. After that, fuzzy synthetic evaluation (FSE) was used to assess the importance of each dimension of MHP awareness. The results indicate that perceived barriers and perceived benefits were the two most significant factors in MHP awareness. The remaining dimensions – perceived susceptibility, perceived severity, cues to action and self-efficacy – were found to have a lesser but notable impact on MHP awareness. This research comprehensively analyzes MHP awareness among construction employees using the HBM framework. The findings suggested that Vietnamese firms should focus on increasing cues to action and self-efficacy to improve MHP awareness among construction employees. This study also proposed that construction firms should provide more stress-reduction activities and training programs suitable to the Vietnamese context for their employees. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-11 DOI: 10.1108/ECAM-10-2024-1339 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Shang Zhang, Jie Duan, Riza Yosia Sunindijo Abstract: The COVID-19 pandemic and the corresponding control measures have harmed the mental health of professionals working in the construction industry. Existing research has also indicated that demographic characteristics are leading variables causing differences in individual’s perceptions on mental health and psychosocial hazardous factors. Combining these, this research aims to compare the differences and similarities of the perceived mental health outcomes and psychosocial hazards among construction professionals with different demographic characteristics during the pandemic. Using a questionnaire survey, data were collected from 531 construction professionals working in Chinese construction companies, which were analyzed quantitatively using mean score comparative analysis, Mann–Whitney U test and Kruskal–Wallis H test, as well as Spearman’s correlation analysis. The results indicate that construction professionals with different ages, years of working experience and positions are exposed to different psychosocial hazards, resulting in different mental health conditions during the pandemic. Age and years of working experience are also strong predictors of the level of depression and anxiety experienced by construction professionals; that is, mental ill health tends to decrease with the increase of age and experience. Male department/unit heads, working in a company office environment for a private company and aged 31–40 years old with 11–20 years of working experience, tend to have the best mental health condition. In contrast, psychosocial hazards are more likely to produce the most serious impact on male site-based construction professionals working for a state-owned company, either with less than one year of working experience or in a senior management position. Despite the significant contribution of the construction industry to the global economy, the differences and similarities of the mental health outcomes and psychosocial hazards among construction professionals with different demographic characteristics during the pandemic remain unknown. This research, therefore, reveals the mental health outcomes and psychosocial hazard impacts among different types of construction professionals during the pandemic. Specifically, this research unveils the important personal characteristics which are closely associated with poor mental health and the stronger impacts of psychosocial hazards on the mental health of construction professionals during the pandemic. The results are valuable for governments and construction companies to formulate targeted mental health intervention strategies during future public health emergencies. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-11 DOI: 10.1108/ECAM-10-2024-1442 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Minh Van Nguyen, Ha Duy Khanh, Chien Thanh Phan, Le Dinh Thuc Abstract: Mental ill health is prevalent among construction workers due to high job demands and unsafe working conditions. Psychological safety climate (PSC) has emerged as a potential solution for improving workplace mental health. However, there is still limited understanding of how different dimensions of PSC influence mental ill health. Thus, this study aims to explore the impact of PSC on the mental ill health of construction employees in the Vietnamese context. Data were collected from 238 construction professionals using a non-probability sampling method. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the relationships between various PSC dimensions and mental ill health. The findings revealed that management commitment and management priority have the most significant influence on reducing mental ill health in the Vietnamese construction sector. While organizational communication and participation contribute, their impact is less pronounced but crucial in promoting employee well-being. Firms should actively promote mental well-being by visibly prioritizing psychological health alongside productivity and providing resources for stress prevention. For policymakers, these findings suggest the need for regulations that encourage or mandate mental health programs. Additionally, the study highlights the need for employees to engage with mental health initiatives to reduce the stigma surrounding mental health discussions in the workplace. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-11 DOI: 10.1108/ECAM-11-2024-1576 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Irem Kose, Gulden Gumusburun Ayalp Abstract: This study aims to outline the transformative impacts of technological developments (TD) on architectural education (AE). The focus is on studying the dynamics of convergence and erosion, aiming to understand the impact of current digital transformations such as the COVID-19 pandemic, sustainability considerations and technology integration on AE. A scientometric analysis and bibliometric search were performed to understand the current knowledge in the field. The Web of Science (WoS) was selected for its comprehensive collection of significant research articles and integrated analytical tools for generating representative data. The study involved an extensive bibliometric analysis of 131 journal articles on TD in AE from 2000 to 2023. Subsequently, the VOSviewer software was employed to illuminate the transformative impacts of technological advancements on AE. Robust methodologies, including citation analysis and co-citation networks, unravel quantitative dimensions such as publication trends, influential authors, prolific journals, geographic distribution and prevalent themes or technological domains within the discourse. The findings reveal significant evolution in AE due to TD, with notable shifts influenced by factors such as the COVID-19 pandemic, sustainability concerns and the integration of modern technologies. Key findings include the increasing adoption of online platforms and technologies like Building Information Modeling (BIM), the crucial role of design thinking methodologies and the recognition of innovative modules such as architectural photogrammetry and augmented reality (AR) applications. Furthermore, keyword clusters were classified into six groups: “AE pedagogy and curriculum development,” “Development of architectural design process and studio,” “Educational approaches and digitalization in architectural design,” “Transition to online AE,” “Development/emergence of photogrammetry at architectural education” and “use of AR.” Although several studies have addressed TD in AE from various perspectives and methods, they have yet to investigate the subject using scientometric analysis from a holistic perspective. A holistic exploration of TD in AE still needs to be improved in the existing literature. In contrast to previous investigations, this study is the first to leverage the quantitative analytical capabilities of VOSviewer. The originality lies in uncovering quantitative dimensions such as publication trends, influential authors and prevalent themes, providing a comprehensive understanding of the nuanced dimensions of this evolving intersection. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-10 DOI: 10.1108/ECAM-07-2024-0879 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:An Thi Binh Duong, Thang Duc Ta, Dung Quang Truong, Thinh Gia Hoang, Hiep Pham, Thu-Hang Hoang, Huy Truong Quang Abstract: This study analyses the direct and indirect impacts of risks on the service-oriented construction supply chain and its resilience during disruptions. We utilised the service-dominant logic, contingency and information processing theories to identify service-oriented construction supply chain characteristics and risk behaviours during turbulent times. Our analysis of 285 construction companies with a strong service orientation revealed that the proposed risk model explains a 33.6% variance in supplier performance, 46.4% operational performance, 47.1% customer satisfaction and 46.5% financial performance. Our findings highlight the importance of effectively monitoring risks in service-oriented construction supply chains and examining complex networks in which risk variables impact construction supply chain performance. This study examines the influence mechanisms between risks and actors’ performance in construction supply chains, taking a service-oriented perspective. Previous studies emphasise the risks that construction companies encounter from disruptions, such as maintaining operations and enhancing performance. Nevertheless, the research still needs to establish the transmission mechanism of the simultaneous impact (direct and indirect) of all forms of risk on supply chain performance. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-07 DOI: 10.1108/ECAM-04-2024-0456 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Mengrui Wang, Shuting Zhang, Xiang Zhou Abstract: Understanding the restorative potential of built environments is essential for promoting mental well-being. However, existing studies often rely on static image-based methods, which are inherently limited in capturing the temporal and spatial dynamics of environmental perception. These methods frequently introduce biases, such as selective framing and abrupt transitions, failing to reflect natural viewing behavior. Addressing these limitations, this study investigates the restorative qualities of campus environments using dynamic VR stimuli and eye-tracking technology. By providing continuous temporal and spatial information, dynamic VR stimuli offer a more immersive and ecologically valid approach to understanding how specific environmental features contribute to psychological restoration. This study investigates the restorative qualities of campus environments using VR eye-tracking technology and dynamic stimuli. Campus environments were filmed through walking sequences and paired with PRS audio prompts. About 40 university students participated in the experiment, with eye-tracking data processed using computer vision-based semantic segmentation and the concept of relative areas of interest, followed by correlation analysis with restorative quality scores. The results revealed that natural elements such as “sky,” “tree,” “waterscape” and “landscape corridor” were significantly positively correlated with the being-away and fascination dimensions, indicating their role in capturing attention and supporting psychological recovery. Conversely, architectural elements like “architectural corridor” and “building facade” were negatively correlated with the extent dimension, while “architectural open space” positively correlated, enhancing spatial perception and exploration. These findings underscore the importance of natural elements and open spaces in built environments while also revealing the complex influence of architectural features. The study provides valuable insights for optimizing campus design to support students’ mental health and well-being. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-07 DOI: 10.1108/ECAM-10-2024-1420 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:William León, Jose Guevara, Nelly P. Garcia-Lopez Abstract: This research article proposes a quantitative method for analyzing planning reliability and risk evaluation in construction projects through probabilistic numerical simulation models. The aim is to assess the combined time-based variability of activities across the project and its impact on planning reliability in various production management systems. The study examines different methods for comparing the impact of production management strategies, specifically standardization and lean construction practices, on project reliability. The article introduces Monte Carlo, importance sampling and first-order-second moment methods as quantitative tools for decision-making and continuous improvement in construction projects. The utilization of multiple numerical simulation models demonstrates how the variability in activity durations directly affects planning reliability, leading to uncertainty and increased risk in construction projects. The study highlights the significance of lean construction principles and industrialized processes, such as standardization of processes and construction methods, in reducing variability and improving the average duration of activities. Furthermore, it quantifies the differential impact of various production management systems on project performance and planning reliability. This study is based on a limited number of case studies, which may affect the generalizability of the findings. The results are specific to the construction projects analyzed in Colombia. Expanding the research to include a broader range of projects will improve the applicability of the findings. Developing more comprehensive numerical models can also enhance understanding of planning reliability across different construction management systems. Currently, there are limited quantitative methods available for project managers to evaluate the impact of industrialized construction practices and production management strategies on planning reliability as well as quantifying the associated risk level in project delays. Consequently, the adoption of innovative construction methods is often limited to a few pilot projects, as managers lack numerical evidence to support the implementation of new methodologies that require changes in traditional operational practices. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-06 DOI: 10.1108/ECAM-06-2023-0597 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Olcay Genc Abstract: The aim of this study is to investigate the application of advanced language models, particularly ChatGPT-4, in identifying and utilizing industrial symbiosis opportunities within the circular economy. It examines how the model can aid in promoting sustainable industrial practices by processing data from the MAESTRI project database, which includes various symbiotic relationships, as well as randomly selected waste codes not included in the database. The research involves structured queries related to industrial symbiosis, circular economy, waste codes and potential opportunities. By assessing the model’s accuracy in response generation, the study seeks to uncover both the capabilities and limitations of the language model in resource efficiency and waste reduction, emphasizing the need for ongoing refinement and expert oversight. The study adopts a mixed-methods approach, combining qualitative and quantitative analyses to explore the potential of ChatGPT-4 in identifying industrial symbiosis opportunities. Data from the EU-funded MAESTRI project database, which includes existing symbiotic relationships, as well as randomly selected waste codes not included in the database, are used as the primary sources. The language model is queried with structured questions on industrial symbiosis, circular economy and specific waste codes utilizing the model’s advanced functions such as file upload. Responses are evaluated by comparing them with the MAESTRI database and official European Waste Catalogue (EWC) codes. The study finds that ChatGPT-4 possesses a solid understanding of fundamental concepts related to industrial symbiosis and the circular economy. However, it encounters challenges in accurately describing EWC codes, with a notable portion of descriptions found to be incorrect. Despite these inaccuracies, the model shows potential in suggesting symbiotic opportunities, although its effectiveness is limited. Interestingly, the study reveals that the model can occasionally identify correct symbiotic relationships even with initial inaccuracies. These findings highlight the need for expert oversight and further development of the language model to improve its utility in complex, regulated fields like industrial symbiosis. This study’s originality lies in its exploration of advanced language models, particularly ChatGPT-4, for identifying industrial symbiosis opportunities within the circular economy framework. Unlike previous research, which primarily focuses on specific sectors and AI’s role in general resource efficiency, this study specifically examines the capabilities and limitations of the language model in handling specialized and regulated information, such as EWC codes across various sectors. It employs a novel approach by comparing AI-generated responses with an established symbiosis database, which is comprehensive and spans all sectors rather than being limited to a single industry, as well as with randomly selected waste codes not included in the database. The study contributes to understanding how AI tools can support sustainable industrial practices, emphasizing the importance of refining these models for practical applications in environmental and industrial contexts. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-04 DOI: 10.1108/ECAM-07-2024-0890 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Chathushka Rupasinghe, K.A.T.O. Ranadewa, J.K.D.D.T. Jayanetti, B.A.K.S. Perera Abstract: The purpose of the paper is to propose a novel Green-BIM team (GBT) through a framework that would be essential in mitigating barriers to Green-BIM integration. An interpretive stance is adopted for this study. Through a qualitative survey, 25 experts with proficiency in green building construction and building information modelling (BIM) implementation were interviewed. Code-based content analysis was carried out using NVivo12. The findings of this study signified the need for a GBT and proposed architect, client, Green consultant, designer (mechanical, electrical and plumbing [MEP], structural), BIM coordinator, engineer (MEP, structural), project manager, quantity surveyor and facilities manager to be involved in the team representing design phase, construction phase and operational phase. The experts were limited to the Sri Lankan context; however, the findings can also benefit countries with socio-economic and cultural backgrounds similar to Sri Lanka. Findings will be beneficial for policymakers and industry professionals to promote a BIM-enabled green building environment. The proposed GBT model extends existing theoretical frameworks, emphasising the need for a multi-disciplinary team throughout the entire lifecycle of a green building. The proposed GBT model aligns with broader societal goals related to sustainable development. This approach provides a sustainable pathway to achieve economic goals for all stakeholders in the construction sector. There is a dearth of literature on a GBT to improve the construction of green buildings in Sri Lanka. Thus, the developed model is unique as it presents a novel GBT for the Sri Lankan construction sector. Further, it elaborates roles and responsibilities of team members with comprehensive details on how to mitigate the barriers to Green-BIM integration. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-04 DOI: 10.1108/ECAM-03-2024-0276 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Ali Fares, Ashraf Elazouni, Sameh Al-Shihabi, Mubarak Al-Alawi Abstract: In the construction industry, cash flow issues can impact both contractors and owners. Although finance-based scheduling (FBS) models were developed to control contractors’ cash flow, researchers completely disregarded cash flow management for owners’ portfolios. Therefore, FBS is once again introduced in this study from the perspective of the owners of portfolios. For the FBS problem of portfolio owners (FBS-PO), a mixed integer linear program (MILP) model is developed. The purpose is to ensure that owners’ cash inflows are greater than cash outflows while minimizing the sum of weighted extensions of the projects in portfolios. Owing to the difficulties encountered in solving the proposed MILP model, genetic algorithm (GA) and particle swarm optimization (PSO) meta-heuristics are used. To ensure the feasibility of the solutions, a special serial schedule generation heuristic was developed in conjunction with the random key method for chromosome representation. The GA produced higher-quality solutions compared to PSO, though it required more processing time. The GA has proven to be a far better choice than the MILP exact solver for bigger portfolios. Additionally, there is a linear correlation between the number of activities in portfolios and the amount of computational time required for the GA to converge. This paper introduces the new research domain of FBS from the owners’ perspective (FBS-PO). In order to establish the FBS-PO as a stand-alone domain, a critical review of the FBS studies in the literature was conducted. In addition, the goals, characteristics, implementation and challenges of the FBS heuristics are benchmarked against those of the special serial schedule generation heuristic developed for the FBS-PO problem. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-04 DOI: 10.1108/ECAM-07-2024-0960 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Derya Yılmaz, Ali Murat Tanyer, Irem Dikmen Abstract: Despite extensive research on the underlying reasons for the energy performance gap in buildings, there is a critical need for stakeholders to standardize and facilitate the use of this knowledge and support its broader application by machines. Our research addresses this gap by developing both an ontology and a tool to utilize risk information regarding the performance gap in buildings. Research into this topic began with the creation of an energy performance gap-risk ontology for new and existing buildings using the METHONTOLOGY method. This comprised a comprehensive literature review and semi-structured interviews with ten experts concerning six buildings, in order to develop taxonomies and define risk factor interactions. It was followed by a three-stage validation using a mixed-method research methodology. Steps included comparing the ontology with a similar empirical study, gathering expert opinions via interviews and ratings assessments, and finally, interviewing an experienced professional to ascertain whether there were any concepts not covered by the ontology. The taxonomies were modeled in Protégé 5.5, and using the ontology, a spreadsheet tool was developed using Microsoft Visual Basic for Applications in Excel. The ontology identified 36 primary risk factors and a total of 95 when including additional risks linked to certain factors. Factors such as professional liability insurance, stakeholder motivation, effective communication, experience, training, integrated design, simplicity of detailing, building systems or design and project commissioning can help manage the performance gap in buildings. The tool developed serves as a decision-support system, offering features like project risk checklists to assist stakeholders in addressing the performance gap. This study is the first to develop an energy performance gap-risk ontology and a tool to help project stakeholders collect, store and share building risk information. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-04 DOI: 10.1108/ECAM-09-2024-1203 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Yonghong Chen, Wenyi Qiu, Mengxia Xiao Abstract: With the rise of digital construction, using organizational capabilities to improve project performance in a turbulent environment has become critical for the high-quality development of the construction industry. However, the complex relationships among them remain unclear. Therefore, this study explores these linear relationships under the digital construction mode and reveals the driving mechanism of multi-factor linkage on project performance. Data were collected from 263 project participants in digital construction projects in China using a questionnaire. Hypothesis testing was conducted using partial least square structural equation modeling, and the differentiated patterns of project performance formation were revealed through fuzzy-set qualitative comparative analysis. Organizational information technology, innovation, coordination, integration management and emergency management capabilities improve project performance. Environmental turbulence is a positive moderator between coordination capabilities and project performance, while other capabilities do not align with environmental turbulence. The research obtained five equivalent configurations for achieving high project performance, such as “capability layout” and “internal driven,” and two paths that lead to non-high project performance. Finally, in contrast to existing studies, we discovered the outstanding contribution of emergency management capabilities to project performance and the auxiliary effect of information technology capabilities. This study innovatively integrates a dimensional framework of construction project organizations’ capabilities under a digital construction mode and extends the organizational capabilities to the specific and operational capability dimension level. Furthermore, this study opens the “black box” of the influence of organizational capabilities on project performance in environmental turbulence and reveals the differentiated and equivalent configurations for the formation of project performance. The study broadens the theoretical perspective of organizational capabilities on project performance research in the digital context and provides practical enlightenment for guiding the capability configuration of construction project organizations in a turbulent environment. The study broadens the theoretical perspective of organizational capabilities on project performance research in the digital context and provides practical enlightenment for guiding the capability configuration of construction project organizations in a turbulent environment. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-30 DOI: 10.1108/ECAM-03-2024-0373 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Ayodeji Emmanuel Oke, Olusegun Johnson Adekunye, Femi Emmanuel Adeosun, John Aliu, Prince Oluleye Akanni, Douglas Aghimien, Clinton Ohis Aigbavboa Abstract: The internet’s revolutionary impact on communication, information access and business transactions exemplifies how technology can reshape human behaviour. Similarly, cyber-physical systems (CPSs) hold immense potential to transform our interaction and control of the physical environment. This study investigates the challenges hindering the adoption of CPSs in Nigeria’s construction industry, aiming to pave the way for a more sustainable future in construction. This study examined challenges related to CPSs in Nigerian sustainable construction projects. Data were gathered through a literature review and a questionnaire survey of Lagos-based construction professionals (architects, quantity surveyors, engineers and builders). Statistical methods were used to analyse the data. Mean and standard deviation determined respondents’ opinions’ central tendency and variability. The data’s suitability for factor analysis was confirmed through Kaiser–Meyer–Olkin (KMO) and Bartlett’s sphericity tests, indicating strong correlations between variables. Factor analysis subsequently identified key challenges hindering CPSs implementation in Nigerian construction. The mean and standard deviation analysis findings indicated that the most significant challenges of CPSs for sustainable construction projects in Nigeria are lack of awareness, inadequate public–private partnership, professional complacencies, data overload and lack of capital. In addition, the analysis was also conducted using factor analysis, which includes five groupings: financial inhibition, management barrier, geopolitical inhibition, national security and lack of awareness. This study recommended that the challenges listed in this study should be considered and worked on through financial, political and professional support of CPSs for sustainable construction projects, such as Sustainable Development Goals (SDGs) programmes and national awareness programmes. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-30 DOI: 10.1108/ECAM-07-2024-0902 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Teng Ma, Kexin Zhao Abstract: The use of digital technology is crucial for building resilience and shaping competitive advantages in project-based organizations (PBOs). The purpose of this study is to explore the impact of digital elements on organizational resilience and resilience enhancement paths in PBOs represented by the construction industry in the context of digitization. This study uses multivalue-set qualitative comparative analysis (mvQCA). First, we collect digitization keywords from the annual reports of PBOs in the construction industry and classify them as process digitization, digital technology application and production intelligence while also considering word frequency statistics as antecedent conditions. Second, through a literature review and the use of the data collected, we define organizational resilience as the ability of organizations to defend, resist, recover and develop. Then, we use the mvQCA approach to examine how digital antecedent variables collectively advance PBO resilience. By collecting data on 79 listed Chinese construction companies and utilizing mvQCA, we identify five combinations of conditions that produce high levels of organizational resilience, and the solution coverage is 1. These methods are (1) digital technology application-oriented, (2) process digitalization-oriented, (3) digitized multifactor coupling, (4) process digitization and digital technology application-driven and (5) process digitalization and production intelligence-driven. These findings have important theoretical and practical implications for revealing the digital-driven path to high levels of PBO resilience. In theory, this study enriches the research on organizational resilience and expands the application scope of organizational resilience theory and the QCA method. Furthermore, this study provides new ways and ideas for PBOs to effectively integrate and utilize internal and external digital resources to increase their levels of organizational resilience. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-29 DOI: 10.1108/ECAM-01-2024-0042 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Bo Tian, Jiaxin Fu, Yongshun Xu, Jinjin Li Abstract: As the complexity and uncertainty of infrastructural megaprojects challenge traditional management models, there is an increasing focus on value co-creation as an organizational strategy to streamline management. However, the role of value co-creation behavior in facilitating the value realization process remains underexplored. This study examines how justice perception (distributive, procedural and interactional justice) improves contractor value co-creation behavior, focusing on the mediating role of psychological ownership. Ten hypotheses in the proposed research model were tested through partial least squares structural equation modeling using 199 valid questionnaires from China. The results show that contractor value co-creation behavior is directly and positively influenced by procedural, distributive and interactional justice and indirectly influenced by them through the underlying psychological mechanism of psychological ownership. The findings fill a knowledge gap by examining the effect of justice perception on contractor value co-creation behavior based on social exchange theory. Discovering justice perception will contribute to contractor value co-creation behavior, and psychological ownership mediates this relationship. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-28 DOI: 10.1108/ECAM-07-2023-0698 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Lei Zhu, Jinting Sun, Lina Zhang, Jing Du, Dezhi Li, Xianbo Zhao Abstract: It is a complex and dynamic process to provide high-quality rural infrastructure. However, there lacks a holistic performance evaluation method for rural infrastructure provision that reflects changing rural social needs and takes a village as a whole. This study aims to develop a holistic and dynamic performance evaluation model for rural infrastructure in Mainland China. This study established an evaluation index system by combining the lifecycle theory and the economy, efficiency, effectiveness and equity (4E) theory. This study developed an evaluation model by using the analytic network process (ANP) and matter-element analysis theory (MEAT). The model was validated by two representative villages in Mainland China. The developed model can reflect dynamic social needs and effectively evaluate the overall infrastructure provision performance of a village. The weight of indicators reflects the changes in Mainland China’s contemporary rural social needs, with particular emphasis on the impact and output performance. The evaluation result shows that the overall performance of the representative villages was excellent but had a tendency toward good. Although the output performance was excellent, different input, process and impact performances resulted in different downgrade trends. This study provides a theoretical basis for disaggregating the complex issue of the performance of rural infrastructure provision. The results can be used by relevant authorities to make a holistic and dynamic evaluation of the performance of rural infrastructure provision and timely revise planning and management policies. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-27 DOI: 10.1108/ECAM-08-2024-1088 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Shang Gao, Sui Pheng Low, Samuel Keen Wei Tok Abstract: The Toyota Way was developed as an efficiency framework to streamline Toyota Motor Corporation’s operational procedures. The collection of Toyota Way principles is often termed “lean”. Over the last few years, nonmanufacturing organisations have begun to recognise the value and applicability of lean methods for their operations. Architectural and engineering design (AED) firms are no exception. This study aims to explore the perspectives of employees at AED firms on the implementation of lean production principles (LPPs) into their operations. Due to the limited resources available to facilitate our measurement of employees’ views regarding the adoption of lean approaches, this study adopts a more scoped approach to employees’ perceptions of these principles within AED firms. Fifty-two respondents participated in the survey. The interviewees were from firm A and firm B, an architecture firm and an engineering firm, and were chosen to help us gain a more in-depth understanding of their views regarding the LPPs. Our study indicates that AED offices were unfamiliar with the concepts of lean principles, even though they were aware of its importance in their daily operations. Despite their scepticism about the implementation of lean concepts, some lean principles are implemented in their own fields of work. This study complements earlier work on lean design that investigated the use of a particular lean technique by looking at the lean principles where some are implemented to a large extent, and some are not. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-27 DOI: 10.1108/ECAM-03-2024-0330 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Ibilola Ogundare, Rebecca Kassa, Omar Maali, Brian Lines, Jake B. Smithwick, Kenneth T. Sullivan Abstract: The construction industry is facing worker shortages, and the resulting competition for skilled workers has increased employee turnover in the sector. Consequently, construction and engineering firms are struggling to attract and retain employees to meet current demands for construction projects. The regular inflow of new employees, who likely need training, may affect organizational and project performance. Construction firms can boost performance by assessing and then honing workers’ skills, including soft skills. One way to assess individuals’ soft skills is to use personality assessments. This study used three personality assessments— – the HEXACO Personality Inventory, Emotional Intelligence Diagnostic and Q-DiSC 101 Behavioral Assessment – to identify the traits of general contractor project managers; sheet metal and air conditioning field leaders (specialty field leaders) and sheet metal, air conditioning and electrical project managers (specialty project managers) in the United States for job role transition purposes. The groups’ mean scores for each assessment component were analyzed using ANOVA and independent t-test to identify statistically significant differences in the personality traits of the three groups – specifically between specialty field leaders and general contractor project managers as well as between specialty field leaders and specialty project managers. This study found that the personality characteristics of workers in these job roles varied. One-way ANOVA revealed that there were significant differences in mean personality factor scores among specialty field leaders, specialty project managers and general contractor project managers. Independent t-tests showed significant differences in patience, forgiveness, fearfulness, etc. identifying the differences between specialty field leaders and general contractor project managers. Similarly, results highlighted significant differences in modesty, inquisitiveness and sociability, among others, for specialty field leaders and specialty project managers. Understanding the personality traits associated with skills needed for leadership across construction roles empowers companies to refine human resource strategies. Personality assessments can complement recruitment, identifying strong candidates for leadership positions. Additionally, these insights can optimize leadership development programs and facilitate career transitions for specialty field leaders by pinpointing suitable candidates and tailoring training programs for successful role changes. This study contributes to the field in two ways. First, it focuses on personality traits within the specific context of construction leadership, providing valuable insights for companies seeking to optimize their leadership teams. Second, by exploring the personality differences between these roles, the study goes beyond individual job requirements and examines the potential challenges and opportunities for career transitions within construction. This information can be used to inform training programs and career development pathways for construction professionals. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-24 DOI: 10.1108/ECAM-06-2024-0737 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Yazhen Sun, Kun Lin, Jinchang Wang, Fengbin Zhu, Longyan Wang, Linhan Lu Abstract: Predicting surface settlement at mountain tunnel entrances during construction is increasingly crucial for risk analysis, as the accuracy of these predictions directly impacts collapse risk assessments and personnel safety. This study introduces a novel approach using a particle swarm optimization (PSO)-optimized long short-term memory (LSTM) neural network for surface settlement prediction. The PSO algorithm optimizes key hyperparameters of the LSTM model, including the number of hidden layer neurons, the learning rate and L2 regularization, while the Adam optimizer refines LSTM iterations. Dropout is used in combination with adaptive L2 regularization parameters to avoid overfitting situations, and sensitivity analysis of the remaining variables ensures the identification of the optimal solution. The model, based on monitoring data from the Aketepu No. 1 Tunnel’s left tunnel, establishes evaluation criteria incorporating error margins and root mean square error (RMSE). By examining the range of maximum (minimum) settlement rates for the cumulative settlement values, the study determined that the section is exposed to an average risk of collapse with slow deformation, which is consistent with actual observations. This suggests that construction can proceed normally, with appropriate monitoring to mitigate the risk of collapse. The PSO-LSTM forecast model presents a promising approach for predicting collapse risks at mountain tunnel entrances. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-24 DOI: 10.1108/ECAM-08-2024-1047 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Hossein Omrany, Karam M. Al-Obaidi, Amirhosein Ghaffarianhoseini, Rui-Dong Chang, Chansik Park, Farzad Rahimian Abstract: This study explores the potential of digital twin (DT) technology to enhance education and training in the construction industry. It aims to provide a clear understanding of how DT can be applied for educational purposes and proposes a framework to facilitate the adoption of DT in construction training. A systematic literature review was conducted to examine the current applications of DT technology in construction education and training. A total of 19 relevant studies were identified and analysed to evaluate the tools, technologies, educational objectives and integration methods used in developing DT models for the construction sector. Based on this analysis, a conceptual framework was developed to guide the integration of DT technology into construction education, addressing gaps in the current literature and practices. The analysis revealed a strong consensus on the effectiveness of DT technology in supporting education and training objectives within the construction industry. The study highlighted the fragmented nature of the current literature and proposed a comprehensive framework designed to facilitate the integration of DT in construction education. This framework offers a structured approach to bridging the gap between theoretical learning and real-world application. The research presents a new systematic framework developed based on an in-depth review for utilising DT in education, training and learning (ETL) processes in construction. The framework provides a novel and structured learning process to integrate theoretical knowledge with practical skills to support workforce development in the construction industry. This framework offers a structured roadmap for future research and practical applications. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-24 DOI: 10.1108/ECAM-10-2024-1376 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Sadith Chinthaka Vithanage, Michael C.P. Sing, Peter Rex Davis, Tanvi Newaz Abstract: Offsite manufacturing (OSM) is a modern construction technique that offers several advantages over traditional construction, including using less material to produce a similar product, lowering costs, increasing quality and enhancing environmental sustainability of the final product in several ways. However, there is evidence of increased safety related incidents at an OSM facility due to the varying nature of its organisational safety climate. Therefore, this study aims to ascertain the relationships between organisational safety climate factors and safety performance in an OSM context, with a view to developing better safety outcomes. A Bayesian Network (BN) approach was adopted to uncover the probabilistic relationships among organisational safety climate factors. First, a literature review was conducted to develop a conceptual model, which was validated by industry experts. Second, a questionnaire survey with Australian OSM professionals was employed to quantify the BN model. Finally, a sensitivity analysis was performed to validate the BN model and identify critical factors. Owing to the influence of organisational safety climate dimensions, there is a 79% probability that Australian OSM facilities obtain “high” safety performance. Despite this result, improvements in management safety response, the balance between safety and production, supervisor safety expectations, credibility in training and accessibility to safety rules and procedures are critical to maintaining and improving this current outcome. This study develops a probabilistic model determining relationships between organisational safety climate factors and safety performance, particularly in an OSM context. The proposed model facilitates safety managers’ comprehension of safety climate issues and provides decision-making support when implementing safety management strategies. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-22 DOI: 10.1108/ECAM-06-2023-0647 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Shayan Nikoukar, Mehdi Tavakolan Abstract: This research aims to address the challenge of inefficient decision-making in site layout planning and resource allocation for construction projects. Existing approaches often rely on mathematical models that produce unrealistic results or encounter limitations confined to the site itself. To overcome these constraints, this study proposes a simulation-based approach with a focus on automatically optimizing tower crane placement, depot locations, and supplier selection. The primary objective is to minimize project costs while enhancing overall efficiency and productivity. The implementation integrates a genetic algorithm and a discrete event simulation model featuring a central control kernel. Key considerations include project boundaries, site layout features, depot locations, and manufacturing and transportation capabilities. The simulation process assesses each solution, encompassing critical stages like manufacturing, transfer to depot, site transportation, and installation. The proposed approach is tested using an actual steel structure project in Tehran, Iran. Results demonstrate substantial cost reductions compared to the contractor plan, showcasing the superiority of the proposed simulation-based optimization approach. The findings underscore the practical applicability of the research, providing valuable insights for industry professionals to make informed decisions and enhance project outcomes in real-world construction projects. This integrated simulation-based optimization approach offers a robust framework for realistic and effective site layout planning and resource allocation in general steel construction projects. Its general simulation mechanism allows for easy expansion and application to similar projects, capable of assessing a large number of alternatives. The research contributes to the field by presenting a novel and effective method for addressing decision-making challenges in construction project planning and resource allocation. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-21 DOI: 10.1108/ECAM-05-2024-0629 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Qiqi Liu, Ming Peng, Weiguang Cai, Liu Yang, Shiying Liu Abstract: Clarifying the relationship between building carbon emissions and economic development can help sustainable construction in the field of construction, and this paper provides a constructive suggestion for ensuring economic development while realizing energy efficiency and emission reduction in buildings. The study focuses on the building sector and firstly analyzes the complex relationship between economic agglomeration (EA) and carbon emission intensity (CEI) of commercial buildings at the city level through the spatial Durbin model and the threshold effect model, and then discusses the regional heterogeneity of this complex relationship from the dimensions of economic density and climate zones, respectively, and finally analyzes in depth the intrinsic influencing mechanism of EA on the CEI of commercial buildings. The authors found that (1) there is an inverted U-shaped nonlinear relationship between EA and CEI of commercial buildings, and the inflection point of the EA level is 2.42, i.e. 1.125 bn RMB/km2. (2) Significant regional differences exist in the inverted U-shaped relationship for cities with different economic densities and cities in different climate zones. (3) EA mainly affects the CEI of commercial buildings through externalities such as commercial building size and tertiary industry share, of which commercial building size is the most important factor hindering the decoupling of urban economic development from the CEI of commercial buildings. This paper discusses for the first time the relationship between economic development and carbon emissions at the city level and clarifies the spatial differences and influencing mechanism of this relationship, providing a fuller reference for policymakers to develop differentiated building energy efficiency and emission reduction strategies. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-21 DOI: 10.1108/ECAM-05-2024-0673 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Mehran Oraee, M. Reza Hosseini, David J. Edwards Abstract: The purpose of this paper is to present a quantified model for influential factors in the collaboration process in Building Information Modelling (BIM). BIM-based Construction Networks (BbCNs), which comprise teams of specialist organisations engaged to execute BIM-related activities, have become the centrepiece of collaboration in construction projects. In BbCNs, however, a lack of effective collaboration among teams remains a major barrier to receiving the full benefits of BIM. Despite this importance, the role of influential factors in collaboration in BbCNs has remained somewhat esoteric in nature in various previous studies, in which the present study attempts to address this gap. To develop the quantified model for collaboration in BbCNs, primary empirical data was collected from a questionnaire survey of BIM experts in the construction industry. This data was subsequently analysed through the Partial Least Squares Structural Equation Modelling (PLS-SEM) technique using SmartPLS software as a viable and robust package for PLS-SEM analysis. Quantification of associations to collaboration in BbCNs reveals that unlike the common beliefs espoused in previous studies on collaboration in BbCNs, the lack of BIM-related tools and technologies is no longer the key concern of effective collaboration in BbCNs. Instead, ethical and managerial factors including “ethical approaches”, “liabilities” and “BIM manager role” were found to be in need of more attention for effective collaboration in BbCNs. Through presenting the first quantified model for collaboration in BbCNs, findings provide a point of reference for practitioners for coaching and managing teams. So too, the findings can be translated into a set of guiding principles for the world of practice for enhancing collaboration in BbCNs. This paper makes a significant contribution to the field by quantifying the factors that impact collaboration within BbCNs settings. It meticulously assesses the degree of influence wielded by these factors and provides empirical numerical evidence to demonstrate that the lack of BIM tools and software is comparatively less concerning in fostering collaboration within BbCNs when contrasted with human-related factors. This original contribution surpasses prior qualitative evaluations by introducing a systematic framework for ranking and comparing other influential factors, thereby advancing relevant theoretical constructs into the realm of quantitative analysis. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-21 DOI: 10.1108/ECAM-09-2023-0891 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Samuel Adeniyi Adekunle, Opeyemi Oyeyipo, Clinton Ohis Aigbavboa, Andrew Ebekozien, John Aliu, Obuks Augustine Ejohwomu Abstract: In the present technological revolution era, lack of skills and training has been a critical challenge. Beyond this, there is less attention paid to how these skills should be delivered. Critically so is that of building information modelling as it affects the adoptions in the construction industry, which has been referred to as a game changer in terms of efficiency and productivity. A quantitative approach was adopted, and a structured questionnaire was distributed to construction industry professionals. A total of 183 responses were collected and analysed to identify the effective and practical approaches to building information modelling (BIM) training for the construction industry. The study ranked the most significant approaches and also clustered the approaches in order to provide a better understanding of the approaches. Two clusters were divided through a factor analysis of the approaches. The two clusters focus on pedagogy attributes and assessment attributes. This study provides insight into an area that researchers have given less attention to before now. It, therefore, provides a critical point of call for industry practitioners and stakeholders in this area, which has been a source of concern. It helps in advancing BIM diffusion through training and informing targeted policies for effective training for emerging technologies. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-21 DOI: 10.1108/ECAM-10-2024-1366 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Ece Alan, David Arditi, Husnu Murat Gunaydin, Emre Caner Akcay Abstract: The personalities of the design team members constitute one of the factors that influence team effectiveness. In this study, 223 members of the “American Institute of Architects” who are employed by the largest architectural design firms in the United States of America were categorized according to their personality types by using “The Enneagram Personality Type Model.” Also, the respondents’ opinions about eight team effectiveness outcomes were recorded in order to explore the relationship between team members’ personality types and team effectiveness outcomes. The information was collected by a questionnaire where the first part included 144 pairs of statements that were used to identify respondents’ personality types. The second part sought designers’ opinions about the importance of eight team effectiveness outcomes rated on a Likert scale ranging from 1 to 5. The results were assessed by performing the Kruskal–Wallis test first and Dunn’s post-hoc test with Bonferroni adjustment subsequently. The findings highlight the significance of personality types in effective design teams. While Type 6 (loyalist and skeptic) and Type 3 (achiever and performer) architects prioritize team effectiveness the most, Type 7 architects (enthusiasts and epicureans) assign the lowest importance. However, the presence of Type 1 (reformist and perfectionist) and Type 8 (challenger and protector) architects within the same design team may involve challenges or conflicts. The primary contribution of this study is that it is the first study in the construction management literature that utilizes The Enneagram of Personality Test to understand the relationship between team members’ personality types and team effectiveness outcomes. This study is of direct relevance to practitioners and could be utilized in design team-building activities. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-21 DOI: 10.1108/ECAM-12-2023-1264 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Feng Kong, Kaixin Chen Abstract: In the realistic multi-project scheduling, resources are not always shared among multiple projects, nor are they available to perform activities throughout the planning horizon. Besides, according to construction technology, some architectural jobs cannot be interrupted for any reason. However, these characteristics of resources and activities have not been fully studied, which may lead to the reduction of engineering quality and the failure of scheduling work. Therefore, this paper aims to model a multi-project scheduling problem with the above characteristics and provide an effective method to meet the actual needs of the construction industry. A three-phase CPLEX with quota auction mechanism (TPCP–QAM) is developed to solve this problem, which significantly improves the solving performance of CPLEX by adjusting the search strategy and implementing a distributed procedure. In this approach, resources are dedicated to individual projects through a global coordination mechanism, while each project is independently scheduled by a local scheduling algorithm. (1) For the proposed problem, CPLEX 2019's default search strategy. (Auto) is far inferior to another search strategy (Multi-point) in optimizing the project total cost and average resource capacity. (2) Compared with other two algorithms, TPCP–QAM has obvious advantages in the multi-project total cost (MPTC) and CPU time, especially for large-size instances. (3) Even though the number of non-working days may not be changed for the protection of labor resources, managers can reduce MPTC or shorten the multi-project total makespan (TMS) by appropriately adjusting the distribution of non-working days. This paper fulfils an identified need to investigate how to complete a multi-project portfolio with the minimum cost while ensuring engineering quality under a practical multi-project scheduling environment. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-17 DOI: 10.1108/ECAM-07-2024-0970 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Mingchen Zhang, Lianjie Liu Abstract: The purpose of this study is to enhance the safety and comfort of tourists in scenic areas undergoing renovation and transformation by developing a comprehensive safety assessment model that takes into account both internal and external factors affecting tourist and construction safety. The research employs a multi-level tourist-construction interaction safety assessment index system, which is constructed through a deep analysis of factors such as the construction environment, tourist behavior and safety signs. The study utilizes game theory in conjunction with three main objective and subjective weight distribution methods to determine the weights of the index system, ensuring the objectivity and effectiveness of the assessment results. The cloud model and cloud generator are applied for the language transformation of the indicators, leading to a comprehensive assessment of construction safety. The survey results indicate that the safety risks of the case project are relatively high, with limited impact of time segments on safety risks, and the risk level during weekends is slightly higher than on weekdays, but the difference is not significant. Among the reviewed influencing factors, compliance with safety signs and the proportion of people crossing construction areas are the factors with the highest risk level, representing a large number of tourists ignoring safety guidance and forcibly crossing construction areas, facing construction dangers, posing a great challenge to safety management. This study offers a novel methodological approach to safety risk assessment in similar environments, contributing to the field by improving the systematicness and scientific nature of safety management. It provides a scientific assessment tool for the safety management of tourists in scenic area renovation projects, aiming to achieve the dual objectives of tourist safety and construction efficiency. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-17 DOI: 10.1108/ECAM-08-2024-1106 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Kaiyi Li, Hafez Salleh, Rui Wang Abstract: The exponential growth of the construction sector exerts considerable pressure on the environment, and the circular economy (CE) concept has recently gained traction as a means of alleviating such environmental issues. In order to propose solutions to the phenomenon of contractors being hesitant to participate in CE implementation in developing countries, this paper aims to comprehensively explore the enabling factors that motivate contractors to implement CE. This study is based on the push-pull-mooring (PPM) theory and extends it by introducing information provision (IP) as a trigger on contractors’ intrinsic subjective initiative states on CE implementation. The study considers what and how positive pull, negative push and neutral mooring factors influence the contractors’ CE transition. The framework was validated by questionnaires collected from contractors in China, and the data were analyzed using the structural equation modeling method. The findings indicate that all factors from the PPM framework exert a positive influence on CE intention, with push factors demonstrating a greater average impact. Furthermore, this study confirms the influence of the IP on contractors’ CE intentions by influencing their intrinsic status. The impact of the IP is most pronounced in terms of contractors’ perceived usefulness and environmental concerns. This study contributes to the existing body of knowledge in the CE transition studies by extending the PPM theory into the construction industry through the lenses of contractors in developing countries. The results highlight the trigger impacts of the IP on contractors’ psychological status regarding CE transition. Furthermore, it offers insights into government management in the CE transition by providing the government with novel approaches to facilitate the CE transition in the construction sector. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-15 DOI: 10.1108/ECAM-05-2024-0592 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Haona Yao, Hongwei Fu, Yongqiang Lu, Pengpeng Xu, Liang Wang Abstract: As project managers are in the central position of sustainable project management (SPM), their competencies become an important factor that affects the outcome of SPM. However, literature lacks a clear description of the project manager competence system required by SPM. The purpose of this study is to explore what competencies are required by sustainable project management and analyze the hierarchy and attributes of these competencies. Aiming to address the problem, several methods were applied in this study. First, with a literature review, semi-structured interviews and Delphi technology, 23 project manager competencies required by SPM are identified. Second, the fuzzy interpretive structural modeling–matrix impact cross-reference multiplication applied to classification (FISM–MICMAC) method is used to analyze the data from 21 experienced project managers in the construction industry, revealing the hierarchy and attributes of the project manager competency system required by SPM. The results indicate that the project manager competency system required by SPM includes nine micro levels. According to the nature of the competencies, these nine levels can be summarized into five macro levels. Furthermore, all competencies can be divided into three categories: independent, autonomous and dependent. This study not only provides project managers and scholars with a further understanding of project manager competencies but also helps contractors make informed and objective judgments in the selection and/or appointments of project managers who have the appropriate competencies for SPM. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-14 DOI: 10.1108/ECAM-07-2024-0830 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Merve Pelinsu Yildiran, Gokhan Demirdogen Abstract: While off-site construction (OSC) offers a promising solution to many problems plaguing traditional construction (e.g. low productivity, waste and safety risks), a lack of standards and knowledge about OSC, especially regarding disputes, hinders its wider adoption. This study aims to address this gap by identifying and analyzing the importance levels of technical, managerial and external disputes specific to OSC projects. Three steps methodology was employed in the study. Focus group discussion (FGD) technique was used to identification and finalize dispute causes found from literature and collect data for the next step. In the study, two multi-criteria decision-making MCDM (methods) [a hybrid approach-Pythagorean fuzzy analytic hierarchy process (AHP) and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)] were employed. While Pythagorean fuzzy AHP was used to calculate the weights of criteria, fuzzy TOPSIS analysis was used to calculate the weights of main and sub-dispute causes. Instead of using the classical AHP method, the Pythagorean fuzzy AHP method was employed due to its superiority in capturing the inherent uncertainty and ambiguity of decision-makers, giving flexibility to decision-makers with linguistic variables instead of expecting exact evaluation scores and flexibility in the integration with other methods. During the analysis of the weights of the main and sub-dispute causes, the fuzzy TOPSIS method was preferred. The fuzzy TOPSIS method involves a quicker and more straightforward decision-making process. Also, the fuzzy TOPSIS method allows the consideration of numerous alternatives and evaluation criteria and uncertainty in the decision-making process. The analysis reveals that technical disputes pose the biggest challenge in off-site construction compared to managerial or external disputes. Specifically, “late completion, delivery and installation of components” emerged as the most significant technical dispute. Within managerial disputes, “poor planning and management of the project” ranked highest, while “the complexity of legal expressions” was the most prominent external dispute factor. In the literature, three studies offer some insight on OSC disputes by analyzing the litigation cases. Nonetheless, the results can be misleading, because some disputes can be resolved before the litigation process. Therefore, the study findings can aid in foreseeing technical, managerial and external factors and in generating robust OSC contracts by considering these issues. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-14 DOI: 10.1108/ECAM-07-2024-0851 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Andrew Ebekozien, Clinton Ohis Aigbavboa, Mohamad Shaharudin Samsurijan, Ahmad Kabir Muhammad, Opeoluwa Akinradewo Abstract: Several governments in developing countries have attempted via policies and programmes to improve access to low-cost housing (LCH) finance for low-income house owners, but sustainability has been an issue. Therefore, sustainable LCH (SLCH) financing framework may mitigate issues hindering LCH financing sustainability in developing countries. There is a paucity of studies about SLCH financing through a framework in Nigeria. Thus, the study investigated the barriers facing low-income earners (LInEs) accessing SLCH finance and developed a framework for promoting Nigerian SLCH financing. The research employed a soft system methodology (SSM) to understand Nigeria’s LCH financing sustainability. The adopted method permitted a substitute to enhance LCH financing sustainability part way through a developed framework. The study conducted interviews across seven cities in Nigeria with selected practitioners. The results were presented using the SSM seven steps. Findings reveal the state and barriers facing LInEs in accessing SLCH finance. Also, findings show that there is a need for a finance framework. It would improve sustainability, especially for intending low-income house owners across Nigeria’s cities. Findings include a framework to reposition LCH financing sustainability to promote homeowners for intending low-income house owners across Nigeria’s cities. Besides the developed LCH financing sustainable framework, housing policymakers and developers can employ SLCH financing to improve low-income intending house owners in Nigeria. This may be the first study to develop a SLCH financing framework using SSM in a developing economy. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-14 DOI: 10.1108/ECAM-09-2023-0895 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Lihan Zhang, Bo Liu, Tianhuan Ding, Sujuan Zhang, Yongcheng Fu Abstract: Conflicts frequently occur in construction projects. Matching appropriate contractual and relational governance with conflict features to promote cooperation and thus minimize the negative influences of conflict is an issue that deserves attention. Our study classifies conflict types into task, process and relationship conflict and defines their combinations as conflict profiles. By conceptualizing contractual governance as the complexity of contract provisions and the strictness of contract enforcement and relational governance as trust, our study aims to explore the configurational impacts of conflict profiles and these governance mechanisms on parties’ cooperative behaviors. A questionnaire survey was conducted, and 238 valid questionnaires were received. Fuzzy set qualitative comparative analysis was performed. Four configurations produce cooperative behaviors. The combined use of detailed contracts, rigid enforcement and high trust enhances cooperation and such a governance arrangement is not subject to any conflict profile. A relatively low level of conflict requires detailed contracts and high levels of trust. For the conflict profile characterized by high task and process conflict and low relationship conflict, parties can select contractual governance-dominant or relational governance-dominant approaches. Theoretically, our study reveals the matching relationships between conflict profiles and governance mechanisms, enriching the research on conflict profiles in construction projects and the interrelation between contractual and relational governance. Practically, the findings provide project managers guidance for conflict management and selecting governance mechanisms. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-14 DOI: 10.1108/ECAM-08-2024-1031 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:João Guilherme Alves Correa, Josivan Leite Alves, Aline Sacchi Homrich, Marly Monteiro de Carvalho Abstract: Investigate distinctive skills, encompassing Building Information Modeling (BIM skills, project management (PM) skills (PMSs), as well as strategic and operational skills (OSs) in the architecture, engineering and construction (AEC) industry. The research design adopts a quantitative survey-based approach, utilizing a partial least squares structural equation modeling (PLS-SEM). The findings underscore a significant relationship between OSs and both BIM and PMSs, while also illuminating the relationship of strategic skills with both BIM and PMSs. However, intriguingly, the study reveals that although BIM skills and PMSs are indispensable, they lack a statistically significant relationship. Despite this, we have identified a pathway from BIM skills to operational and strategic skills that traverses through PMSs, exhibiting significant indirect effects. Our study employs cross-sectional data rather than longitudinal data, which hinders temporal interpretations of the associations between competence building for AEC professionals especially given that BIM skills are still in the early stages within AEC projects, particularly in Latin America. Therefore, a longitudinal study would offer deeper insights into potential causation, allowing for a more robust establishment of underlying associations. Additionally, future research endeavors should focus on capturing longitudinal data through case studies that explore perceptions and observations of the roles of BIM managers and project managers in project-based organizations. Our model guides organizations to recognize the importance of BIM management skills as a pivotal role in the AEC industry, bridging operational and strategic levels. While project managers focus on tools that facilitate team and project integration, BIM managers enhance collaboration and communication across different disciplines within construction projects. This synthesis highlights the complementary roles of project managers and BIM managers in driving successful project outcomes, showcasing the synergy between their skill sets in achieving strategic objectives within the AEC industry. Furthermore, it underscores the critical role of indirect and cascading flows of influence among skill domains through multiple interconnected pathways. Our study demonstrates that different types of skills are required to manage AEC projects. These skills are interconnected through direct and indirect pathways that warrant attention from academia. The theoretical contribution of the research model is clearly shown in the linking between PM and BIM in the AEC industry. Several scholars recognize BIM as innovative and that drives the success of civil construction projects; however, our study goes further in identifying the significant relationships among variables and the magnitude of their effects on strategic and OSs for BIM management and PM domain. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-10 DOI: 10.1108/ECAM-05-2024-0670 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Vu Hong Son Pham, Duy Hieu Pham Abstract: This study aims to optimize the construction site layout planning (CSLP) problem, with a focus on prefabricated projects. It proposes the use of the oMOAHA algorithm, an enhanced version of the multi-objective artificial hummingbird algorithm (MOAHA), to address challenges related to search space exploration and local optimization in CSLP. The study integrates three techniques – opposition-based learning (OBL), quasi-opposition and quasi-reflection – into the initialization phase of the MOAHA algorithm, creating the oMOAHA variant. This model is applied to all three types of CSLP problems – pre-determined location, grid system and continuous space – to evaluate its effectiveness. Six objective functions (three related to cost, two to safety and one to tower crane efficiency) and four site-related constraints are considered through three case studies taken from previous research and one real project involving prefabricated steel structures. The oMOAHA algorithm demonstrates superior performance compared to previous models, consistently outperforming traditional approaches in CSLP optimization for prefabricated projects. In the real case study, the proposed model exceeded the actual project plan by 28–43%, indicating its potential to significantly improve both solution quality and project outcomes. This study is the first to apply an optimization model to all three types of CSLP problems – pre-determined location, grid system and continuous space – within a unified framework. The integration of advanced techniques into the MOAHA algorithm and the model’s successful application in a real prefabricated project underscore its high applicability and effectiveness in modern construction management. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-10 DOI: 10.1108/ECAM-05-2024-0676 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Taozhi Zhuang, Haojie Ji, Ying Wang, Hongjuan Wu, Meiling Zeng Abstract: Globally, co-production is of great significance in promoting neighborhood regeneration. However, in the Chinese context, characterized by a governance system with strong government discourse power and a tradition of passive public participation, co-production has faced significant challenges. To address issues, this paper aims to deeply understand the co-production behaviors and strategy choices of local governments and residents in the co-produced neighborhood regeneration. An evolutionary game approach was utilized as the research method to analyze the interest interactions between the two parties, the differences and similarities in strategy choices and the influencing factors in government and resident-initiated project types, respectively. Chongqing was selected as the case area for empirical analysis, with data derived from project materials and in-depth interviews. This study revealed dynamic interactions between local governments and residents, significant differences between the two project types regarding co-production levels, the positive role of residents' perceived loss and the effect of marginal benefits on critical influencing factors. Drawing upon co-production theory, this paper elucidates how different levels of co-production are implemented and highlights the differences between the two types of neighborhood regeneration projects within governance systems characterized by strong state discourse power and a lack of public participation tradition. It addresses current issues and provides critical references for government policymakers and urban planners to make informed decisions and promote co-produced neighborhood rehabilitation projects. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-10 DOI: 10.1108/ECAM-07-2024-0861 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Bin Xie, Zhenyu Wang, Yiling Xu, Libing Cui Abstract: Emergencies have become a growing concern for organizations, which require flexibility to respond to changes in emergencies based on their contingency, dynamic evolution rapidly and other characteristics. In order to enhance the ability of engineering project organizations to cope with emergencies, this study explores the mechanism of its influence on knowledge innovation under emergencies from the perspective of bricolage theory, and provides a new perspective for the traditional preplanning-based handling of emergencies by improvising to enhance the ability and results of improvisation. Firstly, a structural equation model of the relationship between bricolage and knowledge innovation was constructed by introducing improvisational behavior and serendipity as mediating and moderating variables of the relationship between bricolage and knowledge innovation based on bricolage theory; secondly, drawing on previous well-established measurement scales about bricolage, improvisational behavior, knowledge innovation and serendipity, a questionnaire survey was conducted with different types of engineering project managers and technicians in Gansu Province as the research subjects, and 238 valid questionnaires were returned; finally, validation factor analysis and correlation analysis were performed, and the hypothesized relationships were verified using AMOS 24.0 software. The results show that bricolage positively influences improvisational behavior; improvisational behavior positively influences knowledge innovation; bricolage positively influences knowledge innovation; bricolage influences knowledge innovation through the mediating role of improvisational behavior and serendipity positively moderates the impact of resource bricolage on knowledge innovation. It reveals the mechanism of knowledge innovation of engineering project organizations in response to emergencies and the innovation mechanism of the episodic nature of emergency decision-making, extends the applicable context of bricolage theory and provides a new perspective for engineering project organizations in response to emergencies. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-09 DOI: 10.1108/ECAM-06-2023-0587 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Xueyao Du, Junying Liu, Yuxuan Chen, Zhixiu Wang Abstract: This study examines whether and how the age-inverse relationship between the chief executive officer (CEO) and the top management team (TMT) affects corporate misconduct in China’s construction industry. Drawing on social identity theory, we propose that the age-inverse relationship in CEO–TMT may diminish their social identity and further decrease the likelihood of corporate misconduct in construction firms. Using a longitudinal dataset of firms in China’s construction industry covering the years 2003 through 2021, this study adopted a logit regression model with fixed effects. The results show that the age-inverse relationship in CEO–TMT is negatively related to corporate misconduct. Further investigations suggest that performance feedback moderates the relationship between the age-inverse relationship in CEO–TMT and corporate misconduct. Firms with an age-inverse relationship between CEOs and TMTs are more likely to engage in fraudulent behavior when performance is above aspirations and less likely to commit fraud when performance is below aspirations. The sample of this study is limited to China’s construction firms. Drawing on social identity theory, this study explores the relationship between the age-inverse relationship and corporate misconduct in China’s construction industry, which enriches the antecedents of corporate misconduct and contributes to CEO–TMT interface research within construction firms. This study provides a guideline for construction firms on how to regulate and reduce misconduct. It will offer insights into human resource arrangements within the management of construction firms in an aging context. Considering that few studies explore fraudulent behavior of construction companies at the upper echelon level, this study focuses on a novel and new antecedent (i.e. age-inverse relationship in CEO–TMT) and its boundary conditions. The findings extend the research on corporate misconduct and strategic leadership in the construction industry. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-07 DOI: 10.1108/ECAM-08-2024-1058 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Shibin Zhang, Qiying Yang, Feifei Yang Abstract: As tower cranes are highly dangerous, the problem of insufficient investment in tower safety needs to be solved urgently, and this study aims to solve the problem of insufficient investment in safety caused by the imbalance of interests of tower safety-related subjects and to propose targeted solutions. Tower crane rental enterprises, contractors and government departments are selected to construct the game model, calculate the equilibrium point and stability and determine the optimal stabilization strategy. Finally, MATLAB software is used to model and simulate the impact of parameter changes on each party’s choice of strategies. (1) The optimal combination of strategies is safety input by tower companies, leasing of qualified towers by contractors and providing non-financial incentives by the government. (2) The degree of synergistic coefficient γ, the level of government penalty coefficient α and the increase in accident probability p positively affect the adoption of proactive safety measures by tower crane leasing enterprises and contractors. (3) Excessive differences in safety costs may lead firms to adopt hostile safety measures. This paper creatively uses safety input and tower crane leasing enterprises as the perspective and object of research on tower security. The research results are of great significance in guiding the government to formulate regulatory and incentive policies and in promoting enterprises to implement safety input to ensure construction safety collaboratively. It also provides new research cases for promoting the entire special equipment industry to realize adequate and effective safety input. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-07 DOI: 10.1108/ECAM-09-2024-1297 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Zheng Zheng, Chyi Lin Lee Abstract: This study aims to analyse the inconsistencies found in previous research regarding the impact of environmental, social and governance (ESG) factors on real estate investment trusts’ (REITs) performance. By identifying the individual contributions of each ESG pillar, the research seeks to clarify ESG’s role in determining REIT outcomes. The study conducts a meta-analysis of 26 selected studies from a pool of over 300 academic papers that investigate the relationship between ESG factors and REIT performance. The meta-analysis aggregates regression findings from these studies, and logistic regression models are used to examine the distinct effects of each ESG factor on REIT performance. The results indicate that the environmental and social pillars significantly influence the relationship between ESG and REITs performance. The social factor consistently shows a positive and significant effect, while the environmental factor is significant but with an unclear direction of influence. The governance factor does not show a significant impact, suggesting that under the current REITs regulatory framework, governance is less influential. The results address the distinct contribution of ESG factors in shaping REIT outcomes across different market contexts and time periods. Moreover, the positive impact of the social pillar aligns with Freeman’s (1984) social impact hypothesis, which suggests that business practices associated with stakeholders’ interests positively affect financial performance. This study enhances the understanding of ESG factors’ impact on REITs by being the first to systematically analyse the underlying reasons for the varied outcomes in previous research. It is also the first attempt to employ meta-analysis in exploring the theoretical foundations of ESG effects within the real estate and construction sectors. The findings assist investors in making more informed decisions based on ESG components and offer guidance for policymakers in crafting regulations that better reflect the influence of ESG factors. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-07 DOI: 10.1108/ECAM-05-2024-0652 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Arman Tayebi, Hamidreza Abbasianjahromi, Mehdi Aghakarimi Abstract: Accidents that frequently occur in the construction industry and result in lost human resources, financial resource waste, delays in project scheduling and other negative effects can ultimately overshadow the development of a nation. Because of this, evaluating hazards and subsequently identifying destructive hazards can significantly increase the safety of projects. Due to the fact that construction accidents are predictable, this research tried to rank the hazards of this industry using an efficient method so that they can be controlled. Also, due to the uncertainty in experts’ opinions, neutrosophic theory was used along with Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS) multi-criteria decision-making (MCDM) method to consider uncertainty and achieve more accurate results. After identifying six major hazards, among others, these hazards were evaluated by 15 experts using five predefined criteria in the form of a questionnaire. By implementing neutrosophic theory and the MARCOS method, the hazard of explosion and fire with 0.765 was assigned the highest importance. Based on the criteria that threaten the success of the project, the hazards of this research were ranked. This research introduces a novel approach to hazard assessment by incorporating project success factors. This not only enhances safety management but also contributes to the improvement of overall project management deliveries. The innovation lies in the application of a hybrid method that combines MARCOS and neutrosophic theory, allowing for a comprehensive consideration of uncertainties in the assessment process. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-02 DOI: 10.1108/ECAM-08-2023-0806 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Meng Ye, Yueran Li, Kunhui Ye Abstract: Prefabricated construction has been rapidly developing and intensifying the reliance on the supply chain. The pandemic of COVID-19 induced severe disruptions to the supply chain operation and thus attracted the research attention on the supply chain resilience (SCR) under various events. Assessing the resilience of the prefabricated construction supply chain (PCSC) is essential for surviving the shifting disruptive attacks and ensuring consistent, reliable operation. Based on the ripple effect and supply chain performance (SCP), this study aims to develop an assessment model for SCR of PCSC. Having identified the roles and material flows among stakeholders, a PCSC network is established. Utilizing the ripple effect model, it develops an assessment framework tailored for PCSCs, which then evolves into a comprehensive assessment model for evaluating the SCR by integrating the disruptive influence and the pre-and post-disruption SCP. Case study is then applied to validate the model. Using SCP metrics and disruptive influence assessment as basic dimensions, the SCR can be assessed and expressed through a vector formula. Operating costs and asset utilization can effectively reflect changes in resilience, paying attention to their real-time changes can provide a better judgment of the current stage of disruptions. The assessment model of SCR accounts for the ripple effect within prefabricated construction, offering a thorough understanding of how disruptions impact the entire supply chain network. Additionally, this model introduces a novel approach to evaluating SCR in reverse by leveraging SCP metrics instead of direct measurement, thereby minimizing potential biases. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-02 DOI: 10.1108/ECAM-10-2024-1341 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Ling Yan, Shuangshuang Wen, Qing Li Abstract: The contractor’s design behavior in engineering procurement construction (EPC) mode plays a decisive role in controlling design risks, ensuring construction quality and improving project value in terms of project performance. Organizational control is an important way to intervene and strengthen organizational behavior. Reasonably arranging organizational control of the design projects in EPC mode will greatly affect the contractor’s design behavior choices and achieve project goals. There are few existing studies that focus on the contractor’s classification design behavior management from the perspective of two-tier cross-domain control of the design projects in EPC mode. To fill the knowledge gap, this study explores how the two-tier cross-domain control linkage effect affects the contractor’s design behavior choice of the design projects in EPC mode through a configuration analysis. This study selects five antecedent variables from the perspective of two-tier cross-domain control (including inter-organizational and intra-organizational controls) through literature review. This study collected 290 valid responses from the design projects in EPC mode practitioners through a questionnaire survey and analyzed the data using fuzzy-set qualitative comparative analysis. The results of the necessity and sufficiency analysis indicate that (1) single control is not a necessary condition for contractor’s design behavior, but outcome control and social control play a more universal role in generating a contractor’s design behavior. (2) The four paths that affect the contractor’s design proactive behavior can be divided into two groups: one emphasizes the combined effect of three inter-organizational control, while the other highlights the considerable impact of synergistic inter- and intra-organizational control. (3) There are four paths that affect the contractor’s design compliance behavior. Compared with the organizational configuration of the contractor’s proactive design behavior, process control should be combined with bureaucratic control and clan control to play a role in the absence of outcome control and social control. This study provides a more detailed explanation for how the linkage effect of the two-tier cross-domain control affects the contractor’s design behavior of the design projects in EPC mode. It broadens the application of positive organizational behavior and organizational control theory. In practice, this study provides a suitable control path for mutual benefit and a win-win situation between owners and contractors to promote the success of the design projects in EPC mode. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-01 DOI: 10.1108/ECAM-07-2024-0929 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Yang Yang, Hanzhong Luo, Mohammad Anvar Adibhesami Abstract: This study introduces a novel approach to generating and optimizing energy-efficient and climate-responsive architectural floorplans. The DGraph-cGAN model utilizes advanced deep-learning techniques to produce diverse, realistic layouts that meet specific design constraints and functional requirements. The results show significant energy savings (32.1% overall) across different building types and climate conditions, with reductions in energy use intensity, CO2 emissions and annual energy costs. Case studies demonstrate notable improvements in energy savings, CO2 emission reduction, daylight autonomy, thermal comfort and cost savings. The DGraph-cGAN model has great potential for advancing architectural design optimization, with opportunities for further refinement and application in various contexts. This study contributes to developing a novel approach to optimizing architectural floorplans using deep learning techniques. It provides a valuable tool for architects and designers to create energy-efficient, climate-responsive buildings. Citation: Engineering, Construction and Architectural Management PubDate: 2025-01-01 DOI: 10.1108/ECAM-08-2024-1107 Issue No:Vol. ahead-of-print, No. ahead-of-print (2025)
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Authors:Tennakoon Mudiyanselage Maheshi Pabasara Tennakoon, Nicholas Chileshe, Raufdeen Rameezdeen, J. Jorge Ochoa, Aparna Samaraweera Abstract: The lack of a comprehensive understanding of the relationships between transaction cost determinants (TCDs) and supply chain resilience (SCR) has concerned the effective and efficient management of supply chain uncertainties in the offsite construction industry. Therefore, this study aims to examine the influence of TCDs, namely asset specificity, transaction frequency, transaction uncertainty, bounded rationality and opportunism, on SCR, grounded in transaction cost theory (TCT). Furthermore, it investigates the mediating role of governance in the relationship between TCDs and SCR. Data were collected from 97 Australian offsite construction supply chain partners via a questionnaire survey through a purposive sampling process. Data analysis was conducted quantitatively using partial least square structural equation modelling (PLS-SEM). The results revealed that asset specificity, transaction frequency and transaction uncertainty were significantly associated with SCR constructs. Governance confirmed a significant mediating effect on these relationships. Interestingly, opportunism did not have a significant negative relationship with the SCR constructs, suggesting the need to explore its behaviour in enhancing SCR. Bounded rationality demonstrated a significant direct association with SCR constructs regardless of the mediating effect of governance. This study provides novel insights by empirically testing the mediating effect of governance on the relationship between TCDs and SCR. It highlights the importance of promoting SCR with a minimum impact on the cost-effectiveness of offsite construction projects. Citation: Engineering, Construction and Architectural Management PubDate: 2025-03-19 DOI: 10.1108/ECAM-09-2024-1289 Issue No:Vol. 32, No. 13 (2025)
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Authors:Qian Zhang, Zhipeng Liu, Siliang Yang Abstract: The construction industry is notorious for high risks and accident rates, prompting professionals to adopt emerging technologies for improved construction workers’ health and safety (CWHS). Despite the recognized benefits, the practical implementation of these technologies in safety management within the Construction 4.0 era remains nascent. This study aims to investigate the mechanisms influencing the implementation of Construction 4.0 technologies (C4.0TeIm) to enhance CWHS in construction organizations. Drawing upon integrated institutional theory, the contingency resource-based view of firms and the theory of planned behavior, this study developed and tested an integrated C4.0TeIm-CWHS framework. The framework captures the interactions among key factors driving C4.0TeIm to enhance CWHS within construction organizations. Data were collected via a questionnaire survey among 91 construction organizations and analyzed using partial least squares structural equation modeling to test the hypothesized relationships. The results reveal that: (1) key C4.0TeIm areas are integrative and centralized around four areas, such as artificial intelligence and 3D printing, Internet of Things and extended reality; and (2) external coercive and normative forces, internal resource and capability, business strategy, technology competency and management (BST), organizational culture and use intention (UI) of C4.0 technologies, collectively influence C4.0TeIm-CWHS. The findings confirm the pivotal roles of BST and UI as mediators fostering positive organizational behaviors related to C4.0TeIm-CWHS. Practically, it offers actionable insights for policymakers to optimize technology integration in construction firms, promoting industrial advancement while enhancing workforce well-being. The novel C4.0TeIm-CWHS framework contributes to the theoretical discourses on safety management within the C4.0 paradigm by offering insights into internal strategic deployment and compliance challenges in construction organizations. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-28 DOI: 10.1108/ECAM-11-2024-1517 Issue No:Vol. 32, No. 13 (2025)
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Authors:Kai Feng, Shengnan Wang, Lina He, Yongxin Li Abstract: This study investigated the impact of leader-member exchange (LMX) on emotional exhaustion among Chinese registered construction engineers by examining the mediating role of active management by exception (AMbE) and the moderating role of self-esteem. Using a sample of 304 registered construction engineers, the study applies the job demands-resources (JD-R) model to explore how LMX, AMbE and self-esteem interact to influence emotional exhaustion. The findings indicate a significant negative relationship between LMX and emotional exhaustion, suggesting that higher-quality exchanges between leaders and members reduce emotional exhaustion. Additionally, AMbE was found to mediate this relationship, where high-quality LMX relationships decrease the extent of AMbE, subsequently lowering emotional exhaustion. Self-esteem was also found to moderate the relationship between AMbE and emotional exhaustion, with high self-esteem exacerbating the negative impact of AMbE and low self-esteem buffering this impact. These results extend the JD-R model by incorporating leadership quality and management style as critical factors influencing emotional well-being. The study underscores the need for balanced management approaches that consider both supportive and corrective behaviors and highlights the importance of tailoring interventions based on individual differences in self-esteem. The findings provide valuable insights for both theory and practice in managing stress and enhancing the well-being of professionals in high-stress industries. Future research should aim to replicate these findings with larger samples to further validate and extend the results. Citation: Engineering, Construction and Architectural Management PubDate: 2025-02-04 DOI: 10.1108/ECAM-08-2024-1122 Issue No:Vol. 32, No. 13 (2025)
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Authors:Mohamad Iyad Al-Khiami, Søren Munch Lindhard, Søren Wandahl Abstract: This study aims to evaluate and synthesize literature on exoskeleton implementation in the construction industry to understand their current applications, evaluate existing research approaches and identify critical areas for future investigation. Through a comprehensive analysis of empirical studies, the research seeks to establish a clear roadmap for advancing exoskeleton adoption in construction work. This study conducts a systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. By searching relevant databases and applying predefined inclusion criteria, the review focused on empirical studies that evaluate the effectiveness and acceptance of exoskeletons in construction. Both objective parameters (EMG data, Kinematic analysis, heart rate) and subjective parameters (user comfort, perceived exertion, usability surveys) were analyzed to assess how impactful are exoskeletons among construction workers. The review identified 236 publications, of which 36 were included, revealing several critical insights: (1) A significant reliance on studies conducted in controlled environments, accounting for 77.78% of studies. (2) A limited representation of actual construction workers, mainly non-construction worker volunteers, which may affect the practical relevance of the findings. (3) A significant gap exists in standardized evaluation protocols, with researchers using varying assessment methods that hinder cross-study comparisons. (4) Predominantly short-term nature of existing studies. These findings highlight the need for more real-world testing, standardized evaluation frameworks and longitudinal studies. This review contributes original insights into the deployment of exoskeletons in the construction sector, particularly highlighting the industry's gap in direct, in situ engagement with construction workers. It suggests that future research should prioritize long-term, onsite studies to achieve a more comprehensive understanding of exoskeletons’ impacts, thus supporting the development of targeted intervention strategies for reducing work-related musculoskeletal disorders (WMSDs) among construction workers. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-31 DOI: 10.1108/ECAM-05-2024-0563 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ruwini Kodikara Edirisinghe, Lahiru Gunathilake Abstract: Alarming statistics underscore the pressing need for effective heat stress management strategies for the construction industry. Validated, holistic systems are lacking. This paper presents the usability of a technological solution that generates early warnings to proactively manage heat stress conditions. Theoretical frameworks guiding technology design, development and validation proposed in this paper are based on the principles of technology readiness levels (TRL). The system encompasses two types of heat stress indicators: environmental and workers’ temperature data. Portable weather stations generate a hierarchy of environmental measurements at multiple levels at various work zones. Internet of Things (IoT) enabled smart vests monitor construction workers’ body temperature in real-time. A web-based system and a smartphone app enable data visualization. The system was deployed on residential construction sites, and usability was evaluated using the strong theoretical frameworks of the technology acceptance model (TAM) and System Usability Scale (SUS). Perceptions of both construction workers and management personnel were captured. The usability test provided valuable insights into the effectiveness and practicality of the system. Both construction workers and management provided positive feedback, indicating that the system was user-friendly and enhanced their awareness of thermal conditions on site. The integration of individual temperature monitoring with environmental data has proven to be beneficial for managing heat stress. This study contributes by providing a validated innovative system that monitors thermal conditions on construction sites using smart personal protective equipment (PPE) and IoT technology. The proposed system, tailored to the construction industry, enables the combining of personal and environmental data to comprehensively and effectively understand thermal conditions. This approach has the potential to reduce heat-related incidents and improve overall worker safety and productivity. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-30 DOI: 10.1108/ECAM-06-2024-0813 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Odey Alshboul, Ali Shehadeh Abstract: This study delves into the influence of contractual frameworks on infrastructure project timelines and evaluates the role of long-term warranty agreements in maintenance efficacy. It underscores the correlation between construction contract structures and prevalent project delays, advocating for a revision in the allocation of responsibilities to mitigate such delays effectively. While previous research has explored individual aspects of construction management, such as contractor incentives and risk allocation, our study uniquely integrates these elements to develop a comprehensive model that includes the effects of long-term warranty agreements and penalty clauses. The findings advocate for contract revisions that entail clearly articulated responsibilities and thorough impact assessments, aimed at enhancing the efficiency of project execution and optimizing infrastructure investment returns. Concrete examples are provided from large-scale infrastructure and public works maintenance projects, illustrating the benefits of well-defined penalty clauses in curbing delays and ensuring sustained quality through long-term warranties. Our results demonstrate that optimized contractual structures can significantly reduce project delays and enhance maintenance effectiveness. This study addresses significant gaps in understanding construction contract management dynamics, especially in transportation infrastructure. It rigorously analyzes how penalty clauses and long-term warranties impact contractor behavior and project outcomes. Key findings show that the benefits of long-term warranties, including social advantages, depend heavily on the strictness of penalty clauses. Innovatively, it employs a First-Price Sealed-Bid Auction framework with empirical data from various case studies, enhancing contract structure optimization for better stakeholder alignment and infrastructure integrity. These insights notably advance construction contract management methodologies. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-26 DOI: 10.1108/ECAM-07-2024-0954 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Unmesa Ray, Cristian Arteaga, Yonghan Ahn, JeeWoong Park Abstract: Equipment failure is a critical factor in construction accidents, often leading to severe consequences. Therefore, this study addresses two significant gaps in construction safety research: (1) effectively using historical data to investigate equipment failure and (2) understanding the classification of equipment failure according to Occupational Safety and Health Administration (OSHA) standards. Our research utilized a multi-stage methodology. We curated data from the OSHA database, distinguishing accidents involving equipment failures. Then we developed a framework using generative artificial intelligence (AI) and large language models (LLMs) to minimize manual processing. This framework employed a two-step prompting strategy: (1) classifying narratives that describe equipment failures and (2) analyzing these cases to extract specific failure details (e.g. names, types, categories). To ensure accuracy, we conducted a manual analysis of a subset of reports to establish ground truth and tested two different LLMs within our approach, comparing their performance against this ground truth. The tested LLMs demonstrated 95% accuracy in determining if narratives describe equipment failures and 73% accuracy in extracting equipment names, enabling automated categorical identifications. These findings highlight LLMs’ promising identification accuracy compared to manual methods. The research’s focus on equipment data not only validates the research framework but also highlights its potential for broader application across various accident categories beyond construction, extending into any domain with accessible accident narratives. Given that such data are essential for regulatory bodies like OSHA, the framework’s adoption could significantly enhance safety analysis and reporting, contributing to more robust safety protocols industry-wide. Using the developed approach, the research enables us to use accident narratives, a reliable source of accident data, in accident analysis. It provides deeper insights than traditional data types, enabling a more detailed understanding of accidents at an unprecedented level. This enhanced understanding can significantly inform and improve worker safety training, education and safety policies, with the potential for broader applications across various safety-critical domains. This research presents a novel approach to analyzing construction accident reports using AI and LLMs, significantly reducing manual processing time while maintaining high accuracy. By identifying equipment failures more efficiently, our work lays the groundwork for developing targeted safety protocols, contributing to overall safety improvements in construction practices and advancing data-driven analysis processes. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-26 DOI: 10.1108/ECAM-09-2024-1259 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:T.D. Moshood, Yee Voon Ling, Changsaar Chai, Chia Kuang Lee Abstract: Partnering has been introduced to the construction field to improve project delivery efficiency. However, little research outlines the factors influencing the intention to form partnerships. This paper aims to investigate the relationships between attitude, subjective norm perceived behavioural control (PBC) and intention to form partnering, as well as to elicit behavioural, normative and control beliefs regarding partnering formation. The study also examines the relationships between these beliefs and their respective constructs within the Theory of Planned Behavior (TPB) framework. In order to achieve these objectives, a two-stage approach was employed. First, a belief elicitation study (BES) involving 20 construction industry professionals was conducted to elicit salient beliefs. Subsequently, a TPB survey was administered to 99 contractors from grades G4 to G7. Partial Least Square analysis assessed the factors influencing the intention to form partnering. The results supported six hypotheses, while six others were unsupported. Perceived usefulness significantly influenced attitude towards intention to form partnering, followed by attitude itself, which also significantly influenced intention. The project management team and sole proprietors had significant effects on the subjective norms, while facilitating conditions and consensus on appropriation significantly affected PBC. This research contributes to the existing literature by providing empirical evidence on the role of intention in partnering formation. Moreover, by applying the BES, this research extends the TPB model of intention to form partnering in construction projects, offering valuable insights for future research and practice. This study investigates the relationships between attitude, subjective norm PBC and intention to form partnering, as well as to elicit behavioural, normative and control beliefs regarding partnering formation. The study also examines the relationships between these beliefs and their respective constructs within the TPB framework. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-24 DOI: 10.1108/ECAM-06-2024-0709 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Chengxin Lin, Jieyi Chen, Chao Feng, Xiaojuan Li Abstract: Prefabricated building has emerged as a hallmark of modern construction industrialization and a pivotal driver of industrial upgrading. In this new building type, the supply of high-quality prefabricated components plays a crucial role in ensuring project quality, cost-effectiveness and on-time completion. Consequently, selecting the optimum suppliers for these components is vital. This study provides valuable insights for construction enterprises, guiding them in the optimal selection of prefabricated component suppliers and thereby contributing to the sustainable development of the construction industry. The entropy weight method is used to integrate and rank 19 commonly used evaluation indices, forming a supplier evaluation system from the enterprises perspective. Subsequently, the VIKOR multi-attribute decision model, combined with a comprehensive evaluation method based on cloud modeling, is applied to identify the most suitable suppliers through case study. The findings emphasized that product quality, particularly the component compliance rate, is paramount in supplier selection. Additionally, companies should prioritize cost management and fundamental supplier capabilities, such as transportation efficiency and operational flexibility, while fostering strong partnerships with high-quality suppliers. Furthermore, all stakeholders need to enhance the supply chain’s responsiveness and adaptability, ensuring these improvements are achieved without strict cost controls. This study minimizes the influence of subjective biases from decision-makers’ by integrating quantitative and qualitative analysis methods, thereby enhancing the comprehensiveness and accuracy of evaluations. By effectively addressing the fuzziness and uncertainty inherent in evaluation data, it establishes a robust system for selecting prefabricated building suppliers. This approach offers reliable and practical decision support, providing theoretical backing for enterprises in choosing prefabricated component suppliers and promoting the sustainable development of the prefabricated construction industry. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-23 DOI: 10.1108/ECAM-09-2024-1230 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yao-Chen Kuo Abstract: The factors contributing to skilled labor shortages in the construction industry are investigated based on relevant global literature. The potential factors are collected, organized and subjected to expert evaluation to determine their inter-relationships. The identified factors are integrated to determine both direct and indirect impacts, clarifying their relative importance. Apart from literature reviews, the decision-making trial and evaluation laboratory (DEMATEL) method was employed to elucidate influential relationships among the factors. Intuitive assessments and DEMATEL with and without the shortage factors were used to compare the impact of various factors on skilled labor shortages. Significant differences were observed between considering only direct effects and both direct and indirect effects. Factors identified through comprehensive evaluation were prioritized; poor overall wages, poor overall welfare and lack of retirement income security and unclear career path owing to lack of prospects and talent plans were the three important factors identified. The disparity between construction companies and key stakeholders, such as government agencies, public sector clients, pre-project planners, designers and consulting engineers, stems from differing priorities concerning skilled labor in the construction industry. In this study, evaluations of most experts from construction companies and the gap ratio for data reliability were implemented for the analysis. In the future, more experts from government agencies, and other groups should be included while focusing on the shortage in individual trades of skilled workers. In addition, the proposed measures require further evaluation for interactive influence and effectiveness. The interactive relationship among the factors influencing skilled labor shortages is explored to determine measures to alleviate their influence. This can aid policymakers in identifying effective solutions. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-20 DOI: 10.1108/ECAM-01-2024-0053 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Lingxiao Wang, Jingfeng Yuan, Yudi Chen, Xin Wan, Guanying Huang Abstract: The construction and real estate sectors are vital to national economies, but traditional construction methods often lead to challenges such as safety risks, noise and environmental pollution. While intelligent construction is believed to mitigate these issues, there is a lack of solid empirical evidence on whether it truly benefits the general public. This paper seeks to explore the societal benefits of intelligent construction from the public’s perspective, addressing this research gap. The research adopts a two-step approach. First, topic mining is conducted to identify topics closely related to the public’s daily life, such as environmental impact, construction traffic management and construction technologies. These topics are then analyzed through sentiment analysis using a bidirectional long short-term memory model with attention mechanism to determine whether the public has a favorable view of these aspects of intelligent construction, indirectly demonstrating the benefits to the public. The primary topics identified include “industry development,” “technology enterprise,” “construction equipment,” “intelligent technology,” “environmental protection,” “robots” and “construction traffic management.” Sentiment analysis shows that public sentiment is overwhelmingly positive across all topics and regions, with “environmental protection,” “construction traffic management” and “robots” receiving the most favorable reactions. This study provides empirical evidence of the societal benefits of intelligent construction from the public’s viewpoint using social media data. The results highlight the need for continued promotion and adoption of intelligent construction due to its positive impact on society. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-20 DOI: 10.1108/ECAM-09-2024-1250 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Nadina Memić, Allen Tadayon, Tausif Ahmed Ishtiaque, Ole Jonny Klakegg, Paulos Abebe Wondimu, Ola Lædre Abstract: There is a general assumption that the early involvement of the contractor contributes to value in construction projects. While early contractor involvement (ECI) may improve the value, some studies identify challenges with ECI. This paper aims to identify the main parameters that can be used to determine the optimal time for contractor involvement and examine how these parameters can be used by clients to develop a systematic method for finding the optimal timing for involvement. Literature studies, interviews, workshops and focus-group meetings identified six main parameters essential for developing a method to determine the ideal timing for ECI. The six identified parameters are activity, complexity, criticality, technical competencies, relational competencies and uncertainty. These parameters can be used to identify the gap between the available competency in the project team and the needed competency to perform an activity. Although clients have ways to identify the optimal time for contractor involvement, these ways are mainly subjective and based on in-house practice. By evaluating these six parameters, a more systematic and objective method for early involvement can be developed. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-19 DOI: 10.1108/ECAM-05-2023-0508 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Benjamin Kwaku Ababio, Weisheng Lu Abstract: Traditional procurement approaches are no longer sufficient amidst dire environmental challenges caused by the construction sector. Yet, it is unclear from existing studies what factors could encourage alternatives such as circular procurement (CP). Thus, this study aims to investigate the determinants of CP adoption in the global construction industry. The study employs a mixed-method approach involving focus group interviews with circular experts and engaging 194 international construction professionals using a questionnaire survey. Multiple statistical techniques, including exploratory factor analysis and fuzzy synthetic modelling, were employed to analyze the data. The study identified fourteen key benefits that drive the adoption of CP practices in construction, with “Waste management throughout the construction lifecycle,” “Integration of supply chains” and “Opportunities from new business models” as the three most significant. However, a deeper analysis of the interconnections between these drivers revealed four clusters of principal benefit drivers (PBDs). The four principal groups were “lifecycle cost optimization,” “climate impact mitigation,” “circular capability and waste reduction” and “supply chain collaboration.” Through fuzzy synthetic modeling, it was predicted that three out of four PBDs exerted high levels of influence and should be prioritized for developed economies, while all four PBDs had significant levels of influence in developing regions. The findings provide a useful reference point for policymakers, practitioners and researchers in formulating strategies to accelerate the adoption and implementation of CP practices in different construction industries. The study provides a novel perspective on CP adoption through understanding and promotion of its benefits. This offers a valuable framework for decision-making in two regional contexts. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-19 DOI: 10.1108/ECAM-08-2024-1077 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Kabir Ibrahim, Taofeek Tunde Okanlawon, Luqman Oyekunle Oyewobi, Abdulmalik Badamasi, Mansir Dodo, Richard Ajayi Jimoh Abstract: The architecture, engineering and construction (AEC) industry is currently undergoing a paradigm shift as it integrates innovations such as digital twins (DT) in its activities. As a result, this study aims to ascertain the barriers affecting the implementation of digital twin (DT) technology in Nigeria’s AEC sector. The study employed a quantitative approach using a questionnaire distributed via Google Forms, yielding 120 valid responses from built environment professionals in Nigeria. The data were subjected to statistical tests such as the Kolmogorov–Smirnov test, Cronbach’s alpha, descriptive statistics and the Kruskal–Wallis test. Hypotheses were validated through partial least squares structural equation modelling (PLS-SEM). The study revealed that out of the 43 identified barriers, inadequate system integration, challenges in guaranteeing interoperability, university education on the subject is deficient, and new system compatibility with legacy systems are the main barriers to implementing DT for sustainable construction practices in the AEC Industry of Nigeria. The study was conducted in Nigeria with a focus on the Federal Capital Territory. The study identified the barriers of DT in the construction sector. This study developed and assessed a theoretical framework, examining the relationships between variables. The findings have important implications for the construction industry, offering opportunities to improve construction processes. Furthermore, the study will help improve sustainable practices within the built environment. The study categorised the barriers of DT into the following: system integration; security-related; performance-related; organizational-related; data quality issues and environmental related issues. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-18 DOI: 10.1108/ECAM-04-2024-0520 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Wenting Zhan, Wenmei Zhou, Jinchan Liu, Yubo Guo Abstract: Previous research has advanced in two-stage construction project productivity (CPP) evaluation by integrating site efficiency (SE) in the delivery and utilisation effectiveness (UE) in the post-delivery stages. The literature has separately addressed the factors affecting these three constructs. However, the interrelationships among them are rarely discussed together. This study aims to systematically identify the influencing factors of CPP, SE and UE and disentangle interrelationships among the three constructs. The paper first reviews the literature about the two-stage project productivity evaluation framework for government construction projects. Then this paper proposes hypotheses regarding the relationships between the three constructs and identifies influencing factors associated with the constructs. Based on questionnaire survey from over 200 government construction project professionals in China, the structural equation modelling is adopted to validate the hypotheses. The paper provides empirical insights that CPP can be directly influenced by UE to a large extent but indirectly impacted by SE through its effects on UE. The findings indicate that CPP is not a simple sum of SE and UE, and consequently reveals the complex, non-linear and indirect relationships between SE and CPP. Future research should further extend the timeframe boundary to merge the pre-delivery stage (e.g. design and planning), findings of which may propose a more generalised understanding and reduce the bias resulting from pre-delivery activities. This paper contributes to construction facility management literature by explaining the mediating role of UE on the relationship between SE and CPP. Therefore, this paper offers practitioners an integrated management logic in strategically combining project and facility management into government project management. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-18 DOI: 10.1108/ECAM-05-2024-0671 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Tayyab Ahmad, Murat Gunduz, Ahmad Madkoor Abstract: The study is about conducting a quantitative inquiry of the drivers that facilitate and barriers that hinder the adoption of Green Buildings (GBs) in Qatar. This will help pave the ground for increased GB development in Qatar. Using previously published studies, 21 barriers and 14 drivers related to GB development are identified. Based on the findings of a questionnaire survey involving 102 construction industry experts, the significance of GB drivers and barriers in the case of Qatar is determined. Partial least squares structural equation modeling (PLS-SEM) analysis is conducted to determine the significance of relationships of drivers and barriers for GB adoption in Qatar. While conducting PLS-SEM analysis, drivers and barriers have been aggregated and subsequently analyzed across 4 and 5 constructs, respectively. While all the driver constructs are interrelated, only drivers related to economic and cost benefits have a significant relationship with GB adoption. Also, in case of barriers, only the barriers related to fear of extra expense and additional work have a significant relationship with GB adoption. Based on the relationships of drivers and barriers identified, recommendations are provided for increased uptake of GBs in Qatar. The study findings will enable decision-makers to ease the process as well as initiate policymaking for increased GB adoption. Theoretically, the findings of this study will contribute to the growing knowledge of GB projects. GB development is highly contextual in terms of the region of development. In-depth studies on GB drivers and barriers have been missing for Qatar and this gap is filled by this study. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-17 DOI: 10.1108/ECAM-01-2024-0124 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Cleber Marchi Bernardo de Araujo, Josivan Leite Alves Abstract: Explore how the AECO organizations can establish BIM capabilities in the design phase to ensure project success for long-term development. Quantitative approach through the application of structural equation modeling with the partial least squares method (PLS-SEM). This study performs a path analysis and hypothesis testing through the PLS method using the SmartPLS 4.0 software. The paper demonstrates that simply adopting BIM is not enough for project success. The lack of preparation for adopting BIM can even have a negative effect on project success, since the structure, technology and designers may not be prepared to integrate all project requirements into BIM models. For effective project success, the article demonstrates that the indirect effect of building BIM capabilities must be considered. The proposed model can serve as a guide for organizational strategy by showing managers the main variables to be considered for long-term survival. The article also warns that the isolated adoption of BIM can be detrimental to the success of projects. However, the lack of BIM capabilities can exclude the organization from the market, as it may not be prepared to recognize project opportunities and not incorporate technologies. The limitation is that the data are not longitudinal; therefore, they are conditioned by the current perceptions of AECO industry professionals about BIM adoption. The results of this research reflect the perception of professionals in the Brazilian construction industry only. Although social implications are not directly addressed in the model, the potential for improving project success in the AECO industry suggests broader positive impacts on project management in the AECO industry. Furthermore, these advances can contribute to better urban planning, improved infrastructure and overall social well-being, impacting quality of life by influencing public policy and shaping public attitudes toward construction and development. Using strategic innovation theories as a theoretical framework for building BIM capabilities, the paper expands this theory by establishing that BIM capabilities are fundamental to sustaining the survival of AECO industry organizations. The paper demonstrates that BIM capabilities are what prepare organizations to adapt to new technologies and strategic resources oriented toward innovation. In this sense, the adoption of BIM itself is an initial step towards building these capabilities, since once the adaptation phase is over, the organization is prepared to optimize its processes with other technologies. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-17 DOI: 10.1108/ECAM-08-2024-1038 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Fehmi Samet Demirci, Zeynep Isik Abstract: This study aims to develop a resilient contractor selection model that also considers community concerns in post-disaster reconstruction projects using a “build-back better (BBB)” approach. At the outset, a comprehensive literature review was conducted to develop the model. During this literature review, a set of contractor selection criteria were identified. Focus group discussion (FGD) sessions were then organized to revise and refine the identified criteria. As a result, a final list of 39 selection criteria was developed. Next, the Bayesian best worst method (BBWM) was conducted to determine the weights of each selection criterion. Finally, the proposed model was validated by conducting a hypothetical case study and fuzzy VlseKriterijuska Optimizacija I Komoromisno Resenje (fuzzy VIKOR) analysis. Moreover, a sensitivity analysis was conducted to examine the effect of the maximum group utility (v) value in the model. The results emphasized that contractors in post-disaster reconstruction projects cannot be selected merely based on “technical” and “economic” factors. Instead, the other aspects, namely “organizational and managerial,” “environmental sustainability,” “resource management and procurement” and “end-user,” should also be taken into consideration. Second, factors related to financial strength, experience, risk management, energy efficiency, resource availability and assurance were particularly deemed the most significant, needing the detailed attention of the decision-makers. Lastly, the case study revealed that the proposed model has a significant potential to systemize contractor selection processes in post-disaster reconstruction projects. Disasters, which are increasing in frequency and severity today, devastate the community’s environmental, economic and social conditions. Post-disaster reconstruction projects commence rapidly after a disaster for recovery. However, poor management procedures in these projects trigger time and cost overruns. Unlike traditional construction projects, post-disaster reconstruction projects are distinctive due to the uncertainties caused by the disasters and the prioritization of community concerns. Therefore, contractors should be selected in a way that can meet the specific needs of reconstruction projects. Otherwise, resilience in the built environment and community satisfaction can hardly be enhanced. Accordingly, this study is one of the first attempts to develop a contractor selection model for post-disaster reconstruction projects. It is believed that the developed model will make essential theoretical and practical contributions to the post-disaster reconstruction domain. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-16 DOI: 10.1108/ECAM-06-2024-0802 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Weilang Cai, Dongqi Hua, Sihao Li, Shiwei Xue, Zhao Xu Abstract: BIM technology has a huge potential for improving the renovation efficiency for as-built buildings. However, due to the absence of raw design drawings and the complex interior environment, it is difficult to implement 3D reconstruction of building interiors in interior renovation projects. Therefore, this study proposes a 3D reconstruction framework of building interiors, with an aim to generate building interiors building information modeling (BIM) models quickly and accurately based on scan-to-BIM and generative design. The proposed framework begins by reconstructing interior structured elements based on the scan-to-BIM process including collecting accurate information of as-built buildings by laser scanning, obtaining point clouds of structured elements through deep learning and developing an efficient dynamo algorithm workflow for generating structured elements BIM model. For unstructured elements, intelligent layout design and efficient BIM generation are conducted by combining the BIM tools and generative design. The successful implementation of the proposed framework in a conference room demonstrated the feasibility of the proposed framework. The semantic segmentation scheme based on deep learning also exhibited excellent recognition and high efficiency for interior structured elements. Furthermore, it is proved that the combination of scan-to-BIM and generative design has high application value in the 3D reconstruction of building interiors. On one hand, a feasible framework is proposed to generate BIM model of building interiors, improve interoperability among different software tools, streamline the complexity of the scan-to-BIM process and meet the reconfiguration requirement of unstructured elements layout scheme in interior renovation projects. On the other hand, the use of BIM and various emerging technologies can drive digital transformation and further advance the industrialization process of interior renovation in as-built buildings. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-13 DOI: 10.1108/ECAM-07-2024-0984 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Tao Li, Jiajun Shu, Yue Li, Yanlong Wang, Bo Liu Abstract: This study aims to provide a reference basis for waterproofing for the long-term safe operation of shield tunnels. Shielding subways in the long-term operation of tunnel tube seams leads to opening, dislocation and other issues, which in turn cause the tube sealing gasket to break and ultimately cause water seepage, and the existing symmetrical sealing gasket arrangement cannot meet the waterproofing requirements of the tunnel structure. First, we carry out an indoor “one-seam” hydrostatic test to quantitatively determine the waterproofing performance of symmetric and four asymmetric arrangements of gaskets. And the arrangement with the best stability and waterproofing performance is selected. Second, we establish a three-dimensional numerical seepage model for the waterproof failure of gaskets with different arrangements, which mechanistically explains the whole course of the gradual failure of the waterproof performance of gaskets with the wedging of water. Finally, we compare and analyze the experimental results with the numerical results to verify the reliability of the different analysis methods. The results of the research show that the gasket will undergo four stages: the initial stage, deformation stage, wedging stage, and breakthrough stage during the continuous wedging process of the water body. Compared with the symmetric arrangement of the gasket, the asymmetric arrangement of the effective contact part of the gasket stress wave peaks and troughs is smaller, the deformation stage of the ability to resist the deformation of the water pressure is stronger, and the role of the water pressure between the two sealing gaskets of the stress path is less likely to be damaged. The current test can't fully reproduce real engineering site conditions as it ignores factors like temperature, time and aging during waterproofing tests and lacks tests based on actual application. Only one – seam test is done, lacking research on other seams. The current seepage model has difficulty reflecting some details and needs refinement. The study focuses on the tube sheet joint problem in underground tunnels and proposes four asymmetric gasket arrangements, which are tested and analysed using a variety of methods. The results show that the asymmetric arrangement has a slower decline in waterproofing capacity and better stability, providing a new method and basis for solving tunnel waterproofing problems. The study focuses on the tube sheet joint problem in underground tunnels and proposes four asymmetric gasket arrangements, which are tested and analysed using a variety of methods. The results show that the asymmetric arrangement has a slower decline in waterproofing capacity and better stability, providing a new method and basis for solving tunnel waterproofing problems. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-13 DOI: 10.1108/ECAM-08-2024-1120 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Maryam Abolghasemi, M.K.S. Al-Mhdawi, Farzad Rahimian, Abroon Qazi Abstract: In this research, the authors distributed a survey to 156 residential construction developers and 468 buyers to assess the level of perceived agreement of developers and buyers on the key indicators for measuring stakeholder management, project performance and stakeholder satisfaction. Following this, a partial least squares structural equation modelling (PLS-SEM) model was developed to quantitatively analyse the direct impacts of stakeholder management on both project performance and stakeholder satisfaction, and to analyse the mediating role of stakeholder satisfaction in enhancing project performance. This paper seeks to investigate the direct effects of stakeholder management on project performance and stakeholder satisfaction within residential construction projects, and also examine the mediating role of stakeholder satisfaction in enhancing project performance by surveying residential buildings’ developers and buyers in Malaysia. This research found that effective stakeholder management directly improves project performance and stakeholder satisfaction within Malaysian residential construction projects. It further identified that stakeholder satisfaction significantly enhances project performance, serving as a critical mediator in the relationship between stakeholder management and project performance. This study enhances the understanding of stakeholder management, stakeholder satisfaction and project performance in the Malaysian construction industry, offering strategic insights that emphasise the importance of stakeholder-centric practices for improving project outcomes, ensuring better collaboration and fostering enhanced project performance. Integrating these insights with digital technologies like building information modelling can lead to clearer communication, more informed stakeholder engagement, and, ultimately, enhanced project efficiency and satisfaction. This paper offers empirical evidence on the critical role of stakeholder management and satisfaction in enhancing project performance in Malaysia’s residential construction projects, providing novel insights into stakeholder-centric approaches that contribute to improved project outcomes. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-13 DOI: 10.1108/ECAM-03-2024-0367 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ruken Alac, Ahmed W.A. Hammad, Ali Hadigheh, Aaron Opdyke Abstract: This paper aims to introduce an innovative decision-making framework designed to optimize egress location selection in buildings, significantly enhancing safety during emergencies. By integrating social, economic and technical criteria through the fuzzy analytic hierarchy process (F-AHP), this framework effectively manages the uncertainties inherent in emergency scenarios, providing a robust tool for safeguarding lives and property. The proposed methodology employs the F-AHP to systematically integrate and evaluate social, economic and technical criteria for egress location selection. A comprehensive case study conducted on a one-story school building demonstrates this approach’s practical application and effectiveness. The analysis reveals that economic criteria are the most significant in determining the optimal egress location, constituting 61.9% of the overall weight, followed by technical criteria at 26.8% and social criteria at 11.3%. The findings highlight the practical application and effectiveness of the proposed approach in addressing uncertainties and optimizing egress location selection. Integrating social, economic and technical considerations gives decision-makers a robust tool to optimize safety, cost-effectiveness and evacuation efficiency. The findings underscore the practical benefits and effectiveness of the proposed approach in managing uncertainties and improving the selection of optimal egress locations. Integrating social, economic and technical considerations gives decision-makers a robust tool to optimize safety, cost-effectiveness and evacuation efficiency. This approach equips practitioners with a comprehensive framework for enhancing emergency preparedness and resilience in various building scenarios. This research introduces a novel framework for egress location selection that addresses the limitations of existing studies by integrating multiple criteria – social, economic and technical – into a cohesive decision-making process. Using the F-AHP in a case study illustrates the framework’s practicality and adaptability, providing a dynamic solution that enhances the overall effectiveness of emergency plans. By prioritizing safety, cost-effectiveness and efficiency, this framework ensures that emergency plans are robust and adaptable, thereby significantly enhancing resilience in the face of emergencies. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-13 DOI: 10.1108/ECAM-05-2024-0684 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Nurul Elma Kordi, Sheila Belayutham, Che Khairil Izam Che Ibrahim Abstract: This paper addresses the scarcity of research on social sustainability (SS) in sustainable construction (SC) by establishing indicators and descriptors for SS throughout the construction project life cycle. The objective is to provide an objective assessment and improve SS practices. The study employs a comprehensive methodology involving literature review, semi-structured interviews, focus group discussions and structured interviews. A total of 42 indicators were identified from the literature and presented to 20 expert panels, resulting in the addition of seven indicators. A refined set of 49 indicators was then presented to 25 experts via focus group discussions, and structured interviews were conducted to determine suitable descriptors and scales for each indicator. The study identified 19 indicators for the pre-construction phase, 25 for the construction phase and 4 for the post-construction phase. These findings offer an objective assessment of SS practices across the construction project life cycle. The indicators and descriptors serve as a valuable tool for industry practitioners to monitor and improve social aspects, fostering SC. The study’s limitations include the context-specific nature of the findings and the potential subjectivity introduced through the selection of expert panels. The identified indicators and descriptors have practical implications for industry practitioners, providing guidelines to enhance social sustainability practices throughout the project life cycle. This study fills a research gap by focussing on SS in construction. The comprehensive methodology contributes to theory development and provides practical tools for practitioners to advance social sustainability practices. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-12 DOI: 10.1108/ECAM-06-2023-0609 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Hongyue Wu, Yunfeng Chen, Robert F. Cox, Ruoyu Jin Abstract: Lack of trust in construction projects will lead to poor project performance or project failure, indicating the importance of trust-building. Existing studies have developed various trust models, while most studies covered limited trust factors, failed to clarify their meanings and relationships or lacked qualitative or quantitative evidence. Thus, this study aims to develop a measurement model of trust in construction projects with theoretical justification as well as qualitative and quantitative data. A literature review was conducted to identify conceptual types, factors and indicators of trust. Individual interviews and focus groups were performed to test the proposed framework with qualitative data. A survey and confirmatory factor analysis (CFA) method were utilized to build the measurement model of trust using quantitative data in BIM-assisted projects. The proposed trust framework covered the four conceptual types, four factors (integrity, competency, benevolence and commitment) and 13 indicators, supported by the results of interviews and focus groups. The measurement model of trust from CFA results supported the significant, positive, and one-to-one relationships between 13 indicators and four factors of trust in BIM-assisted projects. Theoretically, the study provides new insights into the multi-dimensional nature of trust. In practice, the findings could facilitate trustors and trustees to better understand, build, measure and enhance trust in construction projects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-11 DOI: 10.1108/ECAM-10-2023-1080 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Khaldoon Shehab Al-Tameemi, Sundus Khaleel Alfaiz, Nidhal Al-Sadoon Abstract: It is a worldwide phenomenon that infrastructure development is considered a catalyst for a country’s economic growth, enhanced service delivery and improved quality of life. Iraq has a considerable lack of necessary infrastructure. Many developing and developed nations utilise public-private partnerships (PPPs) as a means to address their infrastructure investment requirements. This study, however, uniquely investigates the specific factors hindering the implementation of PPP in Iraq, focusing on Iraq’s distinct political, economic and legislative challenges. A thorough literature review, guided by systematic principles similar to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), has been conducted to understand PPP and highlight the factors that can facilitate the effective implementation of PPP around the globe. Afterwards, a questionnaire survey was deployed to relevant stakeholders in Iraq to examine these factors in the specific context of Iraq. Subsequently, in-depth interviews with key Iraqi decision-makers were carried out to discuss the questionnaire results in more detail and pinpoint particular barriers impeding successful PPP implementation in Iraq. These data were then rigorously analysed to highlight Iraq’s unique challenges, and the results were discussed to provide a contextual understanding. Based on these insights, conclusions and recommendations are drawn accordingly. The results revealed that one of the main factors hindering the implementation of PPP in Iraq is the absence of a legal and regulatory framework that can give PPP implementation its legitimacy in Iraq. Other factors include the overall reluctance of several Iraqi legislators towards the PPP system and the unavailability of an environment attractive to investors. The findings and recommendations set forth in this research can aid champions of the PPP system within the government of Iraq in devising an effective plan. Unlike similar studies, this paper addresses barriers specific to Iraq, such as political reluctance and regulatory gaps, providing new insights to guide policy. This plan is intended to foster a PPP mindset among relevant lawmakers, ensuring the successful approval of PPP laws and regulatory frameworks. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-10 DOI: 10.1108/ECAM-03-2023-0311 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Rui Wang, Hafez Salleh, Jun Lyu, Zulkiflee Abdul-Samad, Nabilah Filzah Mohd Radzuan, Kok Ching Wen Abstract: Machine learning (ML) technologies are increasingly being applied in building cost estimation as an advanced method to overcome the challenge of insufficient data and subjective effects of experts. To address the gap of lacking a review of ML applications in building cost estimation, this research aimed to conduct a systematic literature review to provide a robust reference and suggest development pathways for creating novel ML-based building cost prediction models, ultimately enhancing construction project management capabilities. A systematic literature review according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) was adopted using quantitative bibliographic analysis and qualitative narrative synthesis based on the 70 screened publications from Web of Science (WOS) and Scopus databases. The VOSviewer software was used to prepare the thematic focus from the bibliographic data garnered. Based on the results of a bibliographic analysis, current research hotspots and future trends in the application of ML to building cost estimation have been identified. Additionally, the mechanisms behind existing ML models and other key points were analyzed using narrative synthesis. Importantly, the weaknesses of current applications were highlighted and recommendations for future development were made. These recommendations included defining the availability of building attributes, increasing the application of emerging ML algorithms and models to various aspects of building cost estimation and addressing the lack of public databases. The findings are instrumental in aiding project management professionals in grasping current trends in ML for cost estimation and in promoting its adoption in real-world industries. The insights and recommendations can be utilized by researchers to refine ML-based cost estimation models, thereby enhancing construction project management. Additionally, policymakers can leverage the findings to advocate for industry standards, which will elevate technical proficiency and ensure consistency. Compared to previous research, the findings revealed research hotspots and future trends in the application of ML cost estimation models in only building projects. Additionally, the analysis of the establishment mechanisms of existing ML models and other key points, along with the developed recommendations, were more beneficial for developing improved ML-based cost estimation models, thereby enhancing project management capabilities. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-10 DOI: 10.1108/ECAM-05-2024-0595 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Chiemela Victor Amaechi, Safi Ullah, Xiaopeng Deng, Salmia Binti Beddu, Idris Ahmed Ja’e, Daud Bin Mohamed, Agusril Syamsir Abstract: The purpose of this article is to investigate the influence that firm-specific characteristics, such as organisational capabilities, risk management methods and stakeholder relationships, have on political risks (PRs) that are associated with multinational construction projects in Pakistan. The methodology employed in this investigation involved the acquisition of data through the use of questionnaires administered to experts in the construction industry. The research applied a quantitative method, and the sources of the data are from the Pakistani stakeholders. One hundred questionnaires were used for the data collection during field visits. Based on the data, it has been ensured that the valid questionnaires were utilised, and the data were tested for validity and reliability. The analysis tool utilised was SPSS software. For the questionnaire, a total of 15 firm-specific factors were considered in order to design the survey, which specifically targeted the identified features. The factors identified as risks were investigated using quantitative method to determine firm-specific risks. It was found that when stakeholders have a better grasp of these dynamics, they are better able to strengthen their resilience and efficacy in managing PRs, which ultimately increases the likelihood that the project will be successful. International construction projects (ICPs) in emerging countries are substantially impacted by PRs, which can have a considerable impact on their success and sustainability. The study is localised and not generic as it is limited to Pakistan, and the risk factors considered are firm-specific but related to PRs. By identifying key risk factors, these firms can develop targeted risk management strategies, leading to enhanced decision-making and more efficient resource allocation. Effective strategies include diversification, local partnerships and comprehensive risk assessments tailored to the unique challenges faced by international contracting firms in Pakistan. ICPs in emerging countries like Pakistan face critical problems, which include the presence of PRs. Although the larger political environment plays a significant part, the manner in which businesses navigate and mitigate PRs is also influenced by firm-specific elements. The study is novel in terms of the factors looked at, the data, the conceptual framework and the findings of the study. The dynamic political scene, which is characterised by instability, policy changes, corruption and geopolitical conflicts, poses significant dangers to the timeliness of projects, the expenses of such projects and the investments that are made in those projects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-10 DOI: 10.1108/ECAM-05-2024-0663 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Enqin Gong, Yousong Wang, Xiaowei Zhou, Jiajun Duan Abstract: Environmental, social and governance (ESG) can enhance the sustainable value and profitability of assets by improving environmental responsibility, social benefits and governance quality. However, there is a lack of research on the ESG aspects of the asset sustainability of infrastructure Real Estate Investment Trusts (REITs), particularly in terms of how ESG affects asset sustainability and their intrinsic relationships. Therefore, this study aims to explore the ESG factors affecting the asset sustainability of infrastructure REITs and their intrinsic linkages, in order to enhance the long-term sustainability of the asset. The study employed structural equation modeling (SEM) to analyze the relationship between ESG factors and the sustainability of infrastructure REITs, through a comprehensive literature review and questionnaire survey to collect data. This method aims to provide a quantitative analysis framework to assess the impact strength and interactions of these factors. The 11 ESG factors positively influence the sustainability of infrastructure assets. Specifically, carbon emission management, information disclosure and infrastructure asset management have the most substantial impacts, with path coefficients of 0.830, 0.814 and 0.817, respectively. Measures such as optimizing resource use, enhancing transparency and improving operational efficiency contribute to increased asset sustainability. Also, interviews indicate that asset managers and corporate executives with overseas educational backgrounds play a crucial role in the ESG management of infrastructure assets. Sustainability can be enhanced by promoting sustainable technologies and enhancing cross-cultural communication. The results offer guidance for infrastructure REIT managers and policymakers, emphasizing the importance of strengthening specific ESG practices to enhance sustainability. This provides an empirical basis for optimizing ESG policies and practices, helping to advance infrastructure REITs towards more sustainable development directions. This study offers new insights into the field of ESG for infrastructure REITs in China by providing specific analysis of ESG factors and applying SEM. The originality of this study lies in its deep exploration of the specific impact factors within the ESG dimensions and quantifying their relationship with sustainability, offering strong scientific support for the sustainable development practices of infrastructure REIT. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-10 DOI: 10.1108/ECAM-06-2024-0738 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Kabir Ibrahim, Christopher Amoah, Fredrick Simpeh, Justice William Abstract: The use of technology has increased in the industrial sector over the years. This has propelled the construction industry to follow suit by enhancing construction technology to experience the associated benefits. However, technology adoption in the construction environment has not been smoothly implemented. This article aimed to determine the obstacles to adopting sensing technology in managing construction projects in three major sub-Saharan African nations. The study adopted a quantitative approach using structured questionnaires. The questionnaire link was sent to construction professionals in Nigeria, Ghana and South Africa, of which 120 were responded. Data received were analysed using the Statistical Package for Special Science (SPSS) to generate mean scores and the Kruskal–Wallis test and component analysis. The results show that construction professionals face herculean tasks when adopting sensing technology in construction project management. Some prominent challenges are initial cost, lack of proper information technology (IT) infrastructure, power supply, lack of well-trained staff, maintenance cost, operating cost, cost of training, technology immaturity and resistance to change. The results also revealed that adoption challenges differ in these three countries, which may be attributable to the economic development level. Despite the importance of sensing devices in construction industries, the study has revealed that Sub-Saharan African countries face enormous challenges in adopting them in project management and execution. This situation may hinder the industry’s ability to benefit from this technology in terms of efficiency, effectiveness and safety management, which may ultimately affect their cash flows. The study provides a valuable understanding of the challenges encountered in implementing sensing technology in the construction sector in major countries within sub-Saharan Africa. These findings will enable the countries examined and other African countries to become cognizant of the challenges and implement strategies to overcome them, thereby enhancing performance in the construction industry. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-09 DOI: 10.1108/ECAM-05-2024-0600 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xinping Hu, Yang Miang Goh, Juliana Tay Abstract: This study aims to examine the acceptance of adaptive learning (AL) amongst construction professionals in Singapore. It seeks to compare their perceptions and attitudes with those of professionals from other industries to assess the rate of AL adoption in the construction sector. Furthermore, the study aims to identify the factors influencing construction professionals’ intention to adopt AL technologies. A questionnaire survey was conducted with 188 construction professionals and 153 non-construction professionals. By employing the extended unified theory of acceptance and use of technology (UTAUT2) and the general extended technology acceptance model for e-learning (GETAMEL), this study also explored factors influencing construction professionals’ behavioural intention (BI) towards AL adoption. An SEM-machine learning approach facilitated the evaluation of the factors’ influence on BI. A comparative analysis of the data found that construction professionals’ intention to use AL surpassed 75%, which had no significant difference with professionals from other industries. The findings revealed that learning value (LV) and self-efficacy (SE) were statistically significant predictors of construction professionals’ intentions to use AL. Furthermore, a supervised machine learning analysis identified performance expectancy (PE) as a crucial factor in predicting these intentions. The study’s focus on self-reported intentions and a specific demographic limits its generalisability; further research should examine actual usage across diverse cultures. The results offered insights into construction professionals’ perceptions and attitudes towards AL adoption, guiding the integration of AL into construction professional development. This paper addresses a recognised gap by examining construction professionals’ perceptions and attitudes towards adopting AL. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-09 DOI: 10.1108/ECAM-07-2024-0896 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xingjie Mao, Binchao Deng, Xianbo Zhao, Xindong Lv Abstract: Megaprojects contribute greatly to China’s socio-economic development. However, the diverse stakeholders of megaprojects tend to be prone to conflict and plunge the project into lower performance than expected. This study aims to investigate (1) the optimal supervision mechanism under direct supervision of the owner and (2) the optimal indirect supervision mechanism of the owner, with involvement of integrated construction consultancy (ICC) in supervision and considerations into the impact of collusion between the ICC and the general contractor on supervision efficiency. This study applies the principal–agent theory and game theory to design effective incentive and punishment mechanisms for direct and indirect supervision by the owner. Through the theoretical framework of game theory, it analyses the strategic interactions between the owner, the ICC and the general contractor, and evaluates the effectiveness of various supervision mechanisms based on Nash equilibrium theory. The results showed adopting the direct supervision mechanism when the probability of the general contractor’s opportunistic behavior being detected was higher or the occurrence had a greater impact on the owner. However, the increase in supervision cost would reduce the motivation of owner’s direct supervision and prompt the owner to choose the indirect supervision mechanism. Additionally, the indirect supervision mechanism was more likely to inhibit the collusion between the ICC and the general contractor. Thus, increasing penalties for ICC would result in improved supervision of ICC, thereby improving the benefits to the owner. This study examines the dynamic interaction between the owner, the general contractor and the ICC. The study establishes a game tree and game matrix based on principal–agent theory, and analyses direct and indirect supervision models to determine the Nash equilibrium and optimal supervision strategy that is in the best interest of the owner. The study advocates for improved management and supervision mechanisms and argues that tailored supervision mechanisms can significantly improve the performance of megaprojects, which is well validated in megaprojects in China. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-06 DOI: 10.1108/ECAM-05-2023-0481 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Homa Bahmani, Yibin Ao, Dujuan Yang, Dongpo Wang, Mingyang Li, Yi Long, Panyu Peng Abstract: This study aims to enhance evacuation safety and efficiency measures in primary school corridors by considering the impact of adult guidance and evacuation graphical signs on evacuation speed and density by considering different visibility conditions and corridor design. The experiment setup involved ten carefully designed drills exploring the evacuation behavior of 6–7-year-old students in a primary school, varying factors such as adult guidance, smoke conditions and graphical evacuation signs. Kinovea software was employed for data extraction to transform video footage into frames, facilitating meticulous manual tallies of children’s movements in designated sub-areas during the drills. The research utilized statistical tests, a generalized linear model and curve-fitting techniques to analyze the extracted data. The findings highlight the vital role of adult guidance in expediting evacuations, emphasizing the importance of trained personnel during emergencies. Additionally, graphical evacuation signs were identified as powerful tools for enhancing evacuation speed during low visibility, as they provide clear visual cues to guide evacuees effectively. Signage and adult guidance are beneficial when the classrooms’ gates opening to the passage are far from each other. In contrast, in areas with close and multiple exits, guidance strategies, especially those involving adults, are more effective in reducing population density during evacuations. These findings have practical implications for improving emergency preparedness, guiding the design of primary school corridors and informing evacuation protocols. School administrators, architects and emergency planners can utilize these findings to inform the development of safety protocols, enhance evacuation guidance strategies and improve the design of primary school corridors. Further research can expand on these findings by exploring their applicability in diverse educational settings and evaluating the real-world implementation of evacuation measures. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-05 DOI: 10.1108/ECAM-01-2024-0017 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ernest Kissi, Evans Kwesi Mireku, Musah Labaran, Barbara Simons Abstract: The construction industry presents a particularly notable and demanding setting where sexual harassment demands special consideration. With its largely male-dominated workforce, intense work settings and entrenched workplace norms, the construction sector provides a unique backdrop in which the complexities of sexual harassment manifest. The purpose of this study is to investigate the relationship between sexual harassment and employee performance in the construction industry, with a particular focus on examining the mediating roles of psychological distress and employee engagement. A cross-sectional survey design was utilized to collect data from 188 construction industry professionals. Participants completed validated questionnaires assessing their experiences with sexual harassment, levels of psychological distress, employee engagement and self-reported performance indicators. Partial least square-structural equation modeling (PLS-SEM) was conducted to examine the direct and mediated effects of sexual harassment on employee performance through psychological distress and employee engagement. The findings reveal a lack of statistical significance in the negative relationship between sexual harassment and employee performance within the construction sector. Furthermore, there was a significant negative relationship between sexual harassment and employee engagement. Employee engagement emerged as a full mediator, buffering the negative effects of harassment on performance and suggesting that engaged employees may be better equipped to cope with and mitigate the impact of harassment. The study’s findings contribute to understanding workplace dynamics amidst sexual harassment in construction. Work engagement fully mediates the relationship, highlighting the need to prioritize initiatives aimed at enhancing employee engagement, such as promoting a supportive and fostering open communication channels between management and employees, can mitigate the occurrence and negative impacts of sexual harassment on employee performance. Continuous monitoring of engagement levels is crucial for sustaining positive work environments. This study contributes to the existing literature by providing quantitative evidence of the relationship between sexual harassment and employee performance in the construction industry. By examining the mediating roles of psychological distress and employee engagement, the research offers a deeper understanding of the mechanisms underlying this relationship. The findings underscore the importance of addressing sexual harassment and promoting employee well-being to foster a safe and productive work environment in the construction industry. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-03 DOI: 10.1108/ECAM-02-2024-0175 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Muhammad Irfan, Maria Ghufran, Muhammad Ali Musarat Abstract: The present study adopted a system thinking methodology to investigate the influence of top management commitment (TMC) on sustainable risk management (SRM) influenced by stakeholder pressures. Three variables and 23 measurement items were derived from existing literature sources. Moreover, the methodology employed for data collection in this study involved a questionnaire. The constructs previously documented in the literature were utilized as the foundation for developing the questionnaire. Of 220 sent questionnaires, 106 valid responses were used for further analysis. To enhance objectivity, a causal loop diagram and a stock and flow diagram were created using a system thinking approach. These visual representations aim to illustrate the impact of top management factors on SRM under stakeholder pressure-related factors. The results of the descriptive test indicate that the safety and quality issues emerged as the most significant, with the highest mean impact of 4.08 on sustainable risk impact assessments. Employee influence on customer relationships also showed a high mean impact of 4.08, while understanding customer requirements closely followed with a mean of 3.98. Additionally, causal loop analysis uncovered complex interconnections among these factors, emphasizing the intricate nature of SRM. Further, a five-year simulation analysis highlighted that SRM effectiveness is significantly enhanced when top management fosters a robust organizational culture. These findings emphasize the critical roles of safety, quality and customer-focused factors in sustainability, underscoring the importance of leadership in fostering effective, holistic sustainability and risk management strategies. This research highlights top management’s pivotal role in effective SRM by integrating sustainability into core strategies. It identifies critical factors and emphasizes the solid organizational culture fostered by senior management, which is essential for long-term SRM effectiveness. The study’s focus on safety, quality and customer relations underscores the need for comprehensive sustainability strategies. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-03 DOI: 10.1108/ECAM-05-2024-0608 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Jingqi Zhang, Shaohua Jiang Abstract: This study investigates the impact and role of digital twin technology in building automation (DTBA) from a sustainability viewpoint. It aims to enhance the understanding of how DTBA can boost efficiency, optimize quality and support sustainable practices in contemporary construction. By exploring the integration of DTBA with sustainable practices, the study seeks to demonstrate how DT can revolutionize building management and operations, leading to significant improvements in resource efficiency, environmental impact and overall operational excellence. This research employs a bibliographic analysis and systematic review of 176 publications from the past five years (January 1, 2019 to December 31, 2023), focusing on the application and development of DTBA. The study methodically analyzes current trends, identifies research gaps and suggests future directions by synthesizing data from various studies, offering a comprehensive overview of the current state of DTBA research. The approach combines quantitative and qualitative analyses to provide robust insights into the advancements and challenges in the field. The review identifies key development areas in DTBA, such as energy and environmental management, resource utilization within a circular economy and technology integration and interoperability. It highlights the necessity for further research to maximize DTBA’s potential in sustainable building automation. The findings suggest that while significant progress has been made, there is a critical need for innovations in data interoperability, predictive analytics and the integration of renewable energy sources to fully realize the benefits of DTBA in enhancing building sustainability. This paper provides a thorough review of DTBA from a sustainability perspective, offering valuable insights into its current applications and future development potential. It serves as a crucial resource for researchers and practitioners looking to advance sustainable practices in the construction sector using DT technology. By bridging the gap between theoretical research and practical applications, the paper underscores the transformative potential of DTBA in driving sustainable development and provides a roadmap for future research and innovation in the field. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-03 DOI: 10.1108/ECAM-08-2024-1024 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ibrahim Karatas, Abdulkadir Budak Abstract: Today’s technological advancements have had a significant impact on the construction industry. Managing and controlling complex construction projects has been made significantly easier using technological tools. One such advancement is the automatic identification of workers’ activities. This study aims to classify construction worker activities by analyzing real-time motion data collected from sensors. In accordance with our specific goals, we utilized advanced deep-learning methodologies such as deep neural networks, convolutional neural network, long short-term memory and convolutional long short-term memory to analyze the data thoroughly. This involved experimenting with various window sizes and overlap ratios to determine the optimal combination that would result in the most accurate predictions. Based on the analysis results, the convolutional long short-term memory (ConvLSTM) deep learning model with a window size of 4.8 s and an overlap rate of 75% was found to be the most accurate prediction model. This model correctly predicted 98.64% of the basic construction worker activities in a real construction site environment. Previous studies have mainly been conducted in laboratory environments and have focused on basic construction activities such as lifting, moving, sawing and hammering. However, this study collected data from real workers in a real construction site environment. Various deep learning models were employed to determine the most accurate one. Additionally, several options were tested to determine the optimal window size and overlap ratio during the data segmentation phase, aiming to select the most suitable ones for preparing the data for the model. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-03 DOI: 10.1108/ECAM-08-2024-1036 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Mengyuan Cheng, Heap-Yih Chong, Guoliang Liu, Qian Li Abstract: Perceived justice is crucial to achieving public–private partnership (PPP) projects’ goals, but little is known about the transmission mechanism of perceived justice that affects added value in PPP projects. Therefore, this research intends to investigate the link between perceived justice and PPP projects’ added value and their underlying mechanism by analysing the mediating role of cooperative behaviour. Based on 246 valid survey data collected from the Chinese PPP professionals, structural equation modelling was adopted to analyse and test the proposed hypotheses. The results show all three dimensions of perceived justice positively correlated with PPP projects’ added value. The influence effect from high to low was determined to be as follows: interactive, distributive and procedural justice. Moreover, both perfunctory and consummate performance were found to be positively correlated with and thus of great importance to PPP projects’ added value, but perfunctory performance was found to have a greater influence coefficient. The relationship between perceived justice and PPP projects’ added value is mediated by perfunctory and consummate performance. Therefore, the strategies of perceived justice in improving added value are verified in the context of Chinese PPP projects. The findings of this study can help realise added value in three ways. Firstly, new perspectives for PPP project added value should be proposed by combining the improvement of project basic objectives and the realisation of the participants’ implicit demands. Secondly, the effects of different perceived justice on added value should be analysed instead of a single dimension of perceived justice. Thirdly, the mediating effects of different types of cooperative behaviour that may influence the relationship between perceived justice and added value should be evaluated. This study contributes to a better understanding of the relationship between perceived justice and PPP projects’ added value and provides a reliable reference for project managers to achieve added value outcomes in PPP projects. In addition, this study reveals the impact of perceived justice on PPP projects’ added value and the path of perceived justice transformation. This provides a useful reference for project managers to take advantage of the positive effects of distributive, interactive and procedural justice to enhance inter-organizational cooperative behaviour. This study thus helps improve the practice and value of PPP projects by using the right strategy of perceived justice. The research clarifies the impacts of multidimensional perceived justice for added value of PPP projects throughout the implementation process. It offers a new perspective on PPP projects’ added value by combining the improvement of the realisation of participants’ implicit claims. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-03 DOI: 10.1108/ECAM-04-2023-0336 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xin Zou, Lihui Zhang Abstract: The purpose of this study is to develop a novel approach that addresses time-cost tradeoffs in repetitive construction projects while considering the uncertainty in activity durations and the risk preferences of planners. Our study involves work in three aspects. Firstly, it employs triangular fuzzy numbers to represent activity durations in different units, which facilitates the management of scenarios characterized by limited historical data or the presence of ambiguous information. Secondly, it introduces a fuzzy chance-constrained programming model, which is aimed at minimizing the project budget while ensuring that the risks associated with cost overruns and schedule delays are confined to specified limits. Thirdly, it advances an enhanced genetic algorithm, integrating an electromagnetism-like mechanism and a scheduling repair process, to improve the efficiency and effectiveness of the optimization process. A real-life street renovation project was analyzed to demonstrate the applicability of the proposed algorithm. The analysis explored three common types of risk preferences: risk-averse, risk-neutral and risk-loving. The results indicate that the proposed algorithm surpasses existing fuzzy repetitive scheduling methods in terms of risk management. It effectively generates schedules that align with the risk preferences of planners and provides worst-case estimates of project performance. This research makes a significant contribution to the field by developing a fuzzy chance-constrained programming model and an associated optimization algorithm that is specifically designed for time-cost tradeoffs in repetitive construction projects. A key distinction is that this study considers the risk preferences of planners, which sets it apart from previously developed models. As a result, it provides a practical approach for effective risk management. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-02 DOI: 10.1108/ECAM-09-2023-0910 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Min-Yuan Cheng, Quoc-Tuan Vu, Mamaru Dessalegn, Jiun-Han Chen Abstract: This study aims to (1) develop an artificial intelligence (AI)-based model to accurately forecast rebar prices and (2) propose procurement strategies to reduce the subjectivity involved in rebar price trend forecasting and minimize procurement costs for construction project general contractors. Correlation analysis was used to identify the key factors influencing changes in rebar prices over time. An AI-based inference model, symbiotic bidirectional gated recurrent unit (SBiGRU), was developed for rebar price forecasting. The performance of SBiGRU was compared with other AI techniques, and procurement strategies based on the SBiGRU model were proposed. The SBiGRU model outperformed the other AI techniques in terms of rebar price forecasting accuracy. The proposed rebar price forecasting model (RPFM) and procurement patterns, which integrate inventory management principles and rebar price forecasts, were demonstrated to effectively optimize procurement costs, realizing a remarkable 6.13% reduction in procurement expenses compared to the conventional monthly procurement approach. The accuracy of AI models may be impacted by disparities in the data used for model training. Future research should explore approaches incorporating price predictions and order factors. This study significantly extends the bounds of traditional rebar price prediction by integrating AI-driven forecasting with inventory management principles, highlighting the potential of AI-based models to improve construction industry procurement practices, reduce related risks and costs, optimize project operations and maximize project outcomes. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-02 DOI: 10.1108/ECAM-03-2024-0324 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Shaohua Jiang, Jingqi Zhang, Yufeng Mao Abstract: This study introduces a novel approach to preventing construction quality problems by examining the complex interrelations among such issues. Recognizing the overlooked coupling between problems is essential, as it can exacerbate quality issues, triggering chain reactions that compromise project success. The research justifies its focus on these interrelations by highlighting the insufficiency of traditional quality management methods, which often fail to account for interconnected quality problems in the architecture, engineering and construction (AEC) industry. At the core of this research is the establishment of a knowledge base for construction quality issues, marking a pioneering effort to systematically organize unstructured textual data on construction quality problems and their interconnections. This base serves as a platform for the subsequent application of advanced analytical techniques. Specifically, the study leverages preprocessing, text similarity algorithms and association rule mining to dissect and illuminate the nuanced coupling relationships among construction quality issues, a facet not thoroughly explored in prior research. The innovative analytical methodology employed here reveals significant insights into the dynamics of construction quality issue coupling. These insights not only deepen the understanding of these complex interactions but also guide the development of targeted intervention strategies. The practical applicability and effectiveness of the proposed approach are demonstrated using selected textual materials as experimental evidence. The findings show that understanding and addressing these couplings can significantly mitigate potential chain reactions of defects, thus enhancing overall project quality. The originality of this study lies in its threefold contribution: the creation of a dedicated knowledge base for construction quality issues, the application of novel analytical methodologies to decipher coupling relationships and the extension of text analysis techniques to the realm of construction quality problem prevention. Together, these innovations open new avenues for research and practice in construction management, offering a robust framework for the systematic identification and mitigation of quality issues in construction projects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-28 DOI: 10.1108/ECAM-03-2024-0328 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xiaoyan Chen, Yan Liu, Giorgio Locatelli, Qinghua He, Xinyue Zhang Abstract: Megaprojects provide an ideal context for exploring the dynamic characteristics of stakeholders within a collaborative innovation system. This research aims to examine the changes in stakeholder salience and functional roles during the evolution of such a system. This study is empirically grounded on the Hong Kong-Zhuhai-Macao Bridge (HZMB) megaproject in China, analyzed with the stakeholder salience, stakeholder functional role, stakeholder dynamics and collaborative innovation system theoretical lens. The megaproject collaborative innovation system can be divided into four stages: the birth stage, development stage, mature stage and re-innovation stage. Stakeholder salience generally remains unchanged throughout the lifecycle of the collaborative innovation system, except for engineering consulting firms (ECF). ECF transitioned from a definitive stakeholder to an expectant stakeholder upon project completion. The number of definitive stakeholders during the first three stages increases gradually. Besides, stakeholder functional roles shift in eight different directions throughout the lifecycle of the megaproject collaborative innovation system because they possess different core resources necessary for implementing innovations and are positioned differently within the collaborative innovation system. This study contributes to the theory and practice of collaborative innovation in megaprojects. First, it offers insights into the evolution of megaproject collaborative innovation systems from the perspective of stakeholder interactions. Second, it has significant implications for managing stakeholder relationships based on their salience and functional roles at different stages of the collaborative innovation system. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-28 DOI: 10.1108/ECAM-09-2023-0915 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yudan Dou, Wenjuan Hou, Xueya Yan, Xin Jin, Pan Li Abstract: Prefabricated construction (PC) is increasingly recognized for its sustainability and is being vigorously promoted worldwide. However, its adoption in developing countries remains suboptimal, with existing studies predominantly focusing on policy frameworks or the impact of a single policy instrument. This study addresses this research gap by optimizing the path of PC promotion from the perspective of policy mixes. The study employs fuzzy-set qualitative comparative analysis (fsQCA) in conjunction with necessary condition analysis, to explore effective policy configurations for PC promotion. A comprehensive collection of 171 PC-related policies issued by the Chinese government was analyzed using text mining to identify antecedent conditions of configuration. Data were further obtained through a questionnaire survey involving 263 valid responses, with fsQCA used to derive the optimal policy configurations. The analysis identified six distinct combination paths for effective policy configurations. Land supply and governmental procurement were found to be core conditions, while fiscal and taxation financial measures emerged as marginal conditions prevalent across all paths. These findings suggest that land supply policies are particularly suitable for regions with limited land resources, such as Shanghai, while government procurement is more effective in regions like Xinjiang, where PC awareness is still developing. In practice, the conclusions enable policymakers to clearly understand policy instruments, thereby finding differentiated pathways for promoting PC with comparable effects. The proposed recommendations help advance PC development effectively while reducing financial burden and minimizing resource waste. This provides important guidance for PC development across different regions or stages, helps address regional imbalances in PC development, and ultimately contributes to the broader goal of sustainable urban development. This study significantly enriches the research on PC policy combinations by utilizing more comprehensive and robust data, thereby enhancing the universal applicability of the findings. The results provide valuable references for policymakers in different regions, helping to address regional imbalances in PC development and facilitating the construction industry’s transition towards greater intelligence and sustainability. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-27 DOI: 10.1108/ECAM-04-2024-0525 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xiang Wu, Xiaochuan Li, Jianwu Chen, Jingqi Gao, Xiaowei Luo Abstract: Attentional bias toward safety (ABS) is a positive safety cognitive ability that could encourage individuals to engage in proactive safety behaviors; however, there is a lack of systematic sorting out of the driving mechanism of ABS. This study aims to identify the influencing factors and underlying mechanisms of ABS among construction workers (CWs) in China, thereby enhancing the practice of construction safety management. An exploratory study using the open-ended approach of grounded theory was conducted, including 25-depth interviews with CWs. Based on the interviews’ records, a scale for measuring CWs’ ABS was developed and an empirical study on 554 workers was performed. The ABS scale was validated in conjunction with an ABS modification training experiment published by the authors’ team, and the theoretical model of the driving mechanism of CWs’ ABS was obtained. The results showed that the six driving factors of construction workers’ ABS include organizational factors, risk perception, safety awareness, safety investment, job stress and workers’ educational level. This paper also identified the critical approach to improving workers’ ABS as an effective intervention on risk perception. In addition, the ABS scale was found to be effective in measuring the ABS level. This paper is of importance in reducing the unsafe behaviors of construction workers and preventing and promoting the sustainable development of construction enterprises. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-26 DOI: 10.1108/ECAM-03-2024-0370 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ping Zou, Zhiyu Dong, Ruize Qin, Xin Yao, Peng Cui Abstract: This paper discusses the applicability of different occupational health risk assessment (OHRA) methods in assessing noise hazards during the production phase of assembled precast concrete (PC) components and makes targeted recommendations based on the assessment results from multiple perspectives to reduce noise hazards in this phase. In this paper, the noise levels of various plant operations are measured on-site and the actual working conditions of plant workers are investigated. Then, four distinct occupational health risk assessment (HRA) models are used to estimate the risk of noise hazards during the production of PC components. Finally, the results obtained from the various models are analyzed and discussed, and then the most appropriate method for assessing noise hazards at this stage is chosen accordingly. The noise exposure levels of workers in the four processes of steel processing, concrete mixing, concrete vibrating and mold removal exceeded occupational exposure limits. Similarly, the risk associated with these four processes is relatively elevated. For risk assessment (RA) of noise hazards in the production phase of assembled PC components, both the Australian RA model and the occupational hazard risk index method can be used, with the latter being more applicable. The assessment results acquired in this paper can serve as a reference for the government and other relevant agencies when determining inspection priorities. In addition, the measures and recommendations outlined in this paper serve as a guide for businesses and government agencies to strengthen the noise management in the production stage of PC components, thereby reducing the noise hazards in the production stage of assembled PC components. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-26 DOI: 10.1108/ECAM-06-2023-0649 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xiaolin Li, Liming Cheng, Hongbo Jiao, Huimin Li Abstract: The purpose of this study is to explore whether information technology (IT) integration capability and data sharing can improve project management performance in China’s construction industry under the background of global informatization. Moreover, the authors explore the moderating role of relational governance between IT integration capability and data sharing. A theoretical model based on the research hypotheses proposed in this study was developed, and a questionnaire survey was conducted with 205 professionals. The data collected were analyzed by the structural equation modeling (SEM) technique. The results indicate that IT integration capability has a significant and positive impact on project management performance and data sharing. Moreover, data sharing has a significant and positive impact on project management performance, and it plays a mediating role between IT integration capability and project management performance. In addition, relational governance significantly influences the mediating effect of data sharing. The data used in this study is from Chinese scenarios, so the research conclusions and application effects based on this are bound to have certain regional limitations. So, a larger sample size from other countries could be selected to test the model. Besides, there are many factors that affect project management performance improving, and the theoretical model proposed in this study may not be fully considered. Therefore, follow-up researchers can consider bringing more suitable variables into their research studies, so that the theoretical research studies can be more in line with the actual project management practice. This research’s value is as follows: Firstly, this paper broadens the understanding of how IT integration capability, data sharing and relational governance affects project management performance and enriches the literature in the construction management field under the background of global informatization. Secondly, this research provides a detailed governance solution to improve project management performance. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-26 DOI: 10.1108/ECAM-07-2023-0701 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Rashid Maqbool, Anisha Shaji Abstract: Architecture, engineering and construction (AEC) industry is one of the vast industries with a lot of productivity issues within. Teams as an integral part of the industry face many problems, of which social loafing is considered as a barrier. This research deals with a few barriers that contribute to social loafing leading to productivity challenges in the AEC industry. There are three major barriers identified as contributors to social loafing which also induces productivity challenges in the industry, from the literature study: cultural diversity, task invisibility and distributive justice. The study adopted the quantitative questionnaire survey method approach, for which the respondents were selected globally through snowball sampling and a total of 443 responses were gathered. Different analysis approaches like the correlation coefficient, and structural equation modeling (SEM), were taken to analyze the survey data. The SEM results showed that mediation factor, social loafing, is directly related to AEC productivity challenges and acts as a mediation for barriers like cultural diversity and task invisibility. Distributive justice was not found to have a direct relationship with AEC productivity challenges or even through social loafing. This study could be beneficial for the CEOs, general managers and directors as they can use this study to encourage an employee friendly environment. Also, industry experts like engineers, architects, project managers can access this study to further improve the organizational culture and instill better employee values. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-26 DOI: 10.1108/ECAM-07-2023-0741 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Jingyu Yu, Jinqiang Wang, Qingyu Shi, Jie Xu, Jingfeng Wang Abstract: The construction industry is experiencing digital transformation, which is also defined as intelligent construction. With the rise of intelligent construction, job characteristics are changing rapidly. Current knowledge about job competencies required by intelligent construction is lacking. Therefore, the aim of this paper is to explore job competencies related to intelligent construction by text mining recruitment information. It is expected to reveal the trend of talent development for the intelligent construction industry. A total of 375 job advertisements regarding the demanding professionals and industrial workers related to intelligent construction were collected and analyzed to reveal the demands of the current labor market. Different job posts related to intelligent construction were classified into 11 categories. Job competencies were extracted and analyzed using the latent Dirichlet allocation (LDA) model, frequency–inverse document frequency (TF-IDF) algorithm and k-means cluster analysis method. The text mining results identified 10 job competencies. Currently, there was a high demand for high-tech talents in the labor market related to intelligent construction. Those high-tech job posts, such as software engineers and R&D staff, required digital technology, R&D skills, electrical automation knowledge and programming capability. Current employees demanding for intelligent construction are expected to be capable of both using information technology and having a general knowledge of the construction industry. Through text mining of current job advertisements, the overall demand for compound talents in the labor market of intelligent construction were explored. The results provide empirical reference for personnel training and talent cultivation in the development of intelligent construction. Higher educational institutions, human resources professionals, as well as experts that are already employed or aspire to be employed in intelligent construction companies, would benefit from the results of our analysis. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-26 DOI: 10.1108/ECAM-07-2024-0846 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Jingqi Zhang, Shaohua Jiang Abstract: This paper provides a thorough examination of the advancements and impacts of artificial intelligence (AI) on construction management (CM) over the past five years, particularly focusing on its role in mitigating prevalent challenges such as inefficiency and ensuring quality. By methodically reviewing and synthesizing the body of research conducted in this period, it underscores key contributions and breakthroughs in the application of AI within construction management (AICM). Additionally, the study aims to shed light on emerging trends and forecast future directions for technological innovation in the construction management sector. Guided by the preferred reporting items for systematic reviews and meta-analyses (PRISMA) framework, this research conducts a bibliometric analysis of 176 relevant publications from the past five years. The analysis focuses on the adoption of AICM across three critical areas: construction equipment management, improvement of construction safety and construction cost optimization. Additionally, the study systematically identifies and examines 14 emerging themes within this domain, ensuring a comprehensive exploration aligned with PRISMA guidelines. This manuscript summarizes recent research from the past five years in three key areas: construction equipment management, construction safety management and construction cost management within the realm of AICM. It identifies key gaps and outlines future research directions, including enhancing AI-driven equipment integration, developing sophisticated AI-based safety systems and optimizing cost management with advanced data analytics. These findings and directions are essential for steering the field toward greater digital innovation and sustainability. This research provides a detailed analysis of the literature within the AICM domain, thoughtfully compiling significant findings and highlighting the importance of addressing user needs. The insights and recommendations shared aim to be beneficial for both academic researchers and industry professionals, contributing to the ongoing development of AICM as it moves toward a future characterized by digital innovation and sustainability. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-26 DOI: 10.1108/ECAM-03-2024-0313 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Qingyu Shi, Jingyu Yu, Lifei Zhang, Jingfeng Wang, Guowei Cheng Abstract: The construction industry has experienced an irreversible digital transformation to smart construction. Many countries have published supporting policies to encourage the development of smart construction. However, there is no universally valid approach. This paper thus aims to evaluate smart construction policies issued by 24 pilot cities in China and identify applicable policy tools and their impact. This paper collected 33 governmental documents on smart construction through the official websites in China. Different policy tools were classified into supply-side, demand-side and environment-side categories. The supporting policies of smart construction development in pilot cities were quantitatively evaluated by using a policy modeling consistency index (PMC-index) model. Supply-type and environment-type policy instruments were used more frequently than demand-type policies in 24 pilot cities. Most of the 24 pilot cities had an evaluation of PMC-index over 8, realizing the consistency of smart construction policies. Eight pilot cities had an evaluation of PMC-index of 6–7.99, realizing acceptable consistency. Only Foshan City has an evaluation of PMC-index below 4, which may reflect a poor consistency of policy implementation. The paper proposes consistencies of smart construction policies of 24 pilot cities and valid policy instruments, including the presale of commercial residential buildings, additional bonus points in the tendering process and cooperating with multiple departments when promoting smart construction. This paper contributes to expanding policy evaluation studies in the smart construction field and provides concrete suggestions for policymakers to formulate more effective and specific policies and strategies for the development of smart construction. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-22 DOI: 10.1108/ECAM-04-2024-0446 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Martin Kwasi Abiemo, Edem M. Azila-Gbettor, Eli Ayawo Atatsi, Ben Q. Honyenuga, Christopher Mensah Abstract: This study, respectively, explored the mediating and moderating influences of psychological availability and ethical leadership on the relationship between occupational stress and project performance among construction workers in Ghana. Employing partial least squares structural equation modelling (PLS-SEM) with SmartPLS 4, this quantitative cross-sectional study analysed survey data from 677 construction project workers who were recruited through simple random sampling technique. The results demonstrate that occupational stress negatively predicts both project performance and psychological availability of construction project workers. Psychological availability and ethical leadership mediate and moderate the stress-project performance relationship, respectively. The findings suggest that ethical leadership and attention to psychological well-being are key to managing occupational stress and enhancing project performance in high-stress environments like construction. This study contributes to the understanding of occupational stress in project management by integrating psychological and leadership factors through conservation of resource theory, social exchange theory and the job demands-resources model. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-22 DOI: 10.1108/ECAM-04-2024-0502 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yongqiang Lu, Li Ma Abstract: Construction project team members’ job burnout damages the physical health of members and also have a negative effect on project performance. This study primarily aims to empirically examine the relationship between coaching project managers (CPMs) and team members’ job burnout. Moreover, this research examines the cross-level mediating effect of team caring ethical climate and team members’ team-based self-esteem (TBSE) on the relationship between the two aspects. This study uses conservation of resources theory as basis to construct a cross-level research model of the effect of CPMs on team members’ job burnout. Thereafter, regression analysis was performed on a sample of 431 team members from 83 teams. According to the empirical results, the authors found that, in construction project teams, first, CPMs were negatively correlated with team members’ job burnout and positively correlated with caring ethical climate and team members’ TBSE. Second, caring ethical climate and team members’ TBSE played a cross-level mediating role between CPMs and team members’ job burnout. In addition, caring ethical climate played a cross-level moderating role in the negative relationship between team members’ TBSE and job burnout. This study introduces coaching leadership, an important leadership type, into the research background of construction project teams, thereby theoretically enriching the research on construction project team leadership. Moreover, by further expanding the research on the consequences of coaching leadership to the field of job burnout, this study also enriches the theoretical results of the research on the consequences of coaching leadership. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-22 DOI: 10.1108/ECAM-05-2024-0645 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Diana R. Anbar, Tengyuan Chang, Safi Ullah, Mohammed Taha Alqershy, Kawther Mousa, Xiaopeng Deng Abstract: This study explores the factors influencing knowledge hiding (KH) in international construction projects (ICPs), focussing on the role of ethnic minorities (EMs) and interpersonal distrust (ID). It also aims to understand how these factors influence KH and explore the mediating effect of ID on the relationship between EMs and KH. A survey questionnaire was developed and distributed to professionals participating in ICPs. We used structural equation modelling (SEM) to analyse 294 valid responses, examining the effect of EMs, ID and demographic variables on KH behaviours. Our approach integrates insights from social identity theory (SIT) and actor network theory (ANT) to provide a comprehensive framework for understanding the observed dynamics. The findings reveal that EMs significantly influence KH behaviours, with ID partially mediating this relationship. Additionally, demographic variables such as gender and age also play significant roles in KH behaviours. However, the degree of education did not show a significant impact on KH. Our results emphasise the critical importance of addressing ID and fostering inclusive environments to reduce KH. While our study sheds light on the complex dynamics of KH in ICPs, further research could explore additional contextual factors and organisational influences. While our study emphasises the importance of inclusive practices and trust-building to mitigate KH, it also recognises the need for a deeper understanding of power dynamics and organisational contexts. Our findings underscore the importance of creating transparent and inclusive cultures of knowledge sharing (KS). Implementing inclusion initiatives and providing cultural awareness training can enhance project outcomes and organisational success. We also propose a practical framework to mitigate KH by promoting trust, inclusivity and effective KS practices. This study contributes to the understanding of knowledge management in multicultural project teams by integrating SIT and ANT, offering a comprehensive perspective on the factors driving KH in ICPs. The findings pave the way for future investigations into power dynamics and organisational contexts within ICPs. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-21 DOI: 10.1108/ECAM-04-2024-0486 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Shaohua Jiang, Jingqi Zhang, Jingting Shi, Yunze Wu Abstract: This paper introduces a novel method to improve building safety management by leveraging building information modeling (BIM) and adaptive information retrieval techniques. The integration aims to overcome the limitations of traditional safety management methods in connecting construction processes with risk management efficiently. The proposed method involves developing industry foundation classes (IFC) ontologies and integrating them with a safety document ontology to form a comprehensive BIM-based safety context framework. Custom reasoning rules and an inference engine are constructed to enable automatic context-aware safety information retrieval. The methodology is demonstrated through an adaptive information retrieval system using job hazard analysis (JHA) documents. The implementation of the BIM-based adaptive information retrieval system shows significant improvements in identifying and managing construction risks. By mapping job-specific risks to corresponding safety measures, the system enhances risk detection and management tailored to particular construction tasks. The results indicate a marked improvement in the precision and accuracy of safety assessments and recommendations, aligning them closely with planned construction activities and conditions. This paper offers an innovative approach to construction safety management through the development of a BIM-facilitated context-aware information retrieval system. This approach provides a more intelligent and automated framework for identifying and managing risks in construction projects. By focusing on specific job steps and related risks, the system enhances the effectiveness and accuracy of safety measures, contributing to better overall building safety management. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-21 DOI: 10.1108/ECAM-08-2024-1018 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Elyar Pourrahimian, Amira Eltahan, Diana Salhab, Joe Crawford, Simaan AbouRizk, Farook Hamzeh Abstract: This study aims to enhance productivity monitoring and control in the construction industry by integrating data-driven analytics with expert insights. A novel framework combines expert knowledge and data analysis to identify productivity trends and devise improvement strategies. A machine learning model predicts productivity ranges using historical data and project-specific factors’ evaluated by surveys, supported by a warning dashboard for proactive decision-making. The findings reveal that integrating expert insights with data analytics significantly enhances the ability to monitor and control productivity, leading to proactive strategies for construction stakeholders. The machine learning model demonstrates robust accuracy in forecasting productivity ranges, allowing for early identification of potential issues. The dashboard system proves invaluable, offering semi-real-time alerts and facilitating swift action to prevent productivity lapses. These results highlight the effectiveness of the proposed approach in detecting trends, predicting outcomes and enabling timely interventions, thereby contributing to the overall productivity improvement of construction projects. There are also limitations to consider, including potential data availability, constraints in the expert pool, implementation challenges and the need for long-term evaluation; these factors should be considered when interpreting the study’s findings and applying the proposed framework to construction projects. Future research can focus on expanding the application of this framework to different types of construction projects and evaluating its scalability. This study introduces a framework with a warning dashboard for early detection of issues, combining expert insights and data analysis for improved project outcomes. This research suggests a shift toward more expert, data-driven, insightful decision-making in construction, aiming for enhanced performance and reduced disruptions. An important implication of this research is the need to balance digital tools and expert judgment. Project managers are advised to use a holistic strategy that ensures informed and comprehensive decision-making. This research introduces a unique methodology that blends traditional expertise with modern analytics to address construction productivity challenges. It offers a practical solution for stakeholders to enhance decision-making, resource allocation and project planning, marking a significant contribution to construction management literature. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-20 DOI: 10.1108/ECAM-02-2024-0268 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Zhixiu Wang, Li Feng Abstract: Existing research lacks exploration of factors that can drive contractors to expand their market, resulting in a research gap where they cannot identify key determining factors in expanding their market. This study aims to explore the multiple pathways of driving diversified business operations of international construction contractors. This study identified key factors that affect the diversified business operations of international construction contractors and explored the multiple causal paths of factors through Chinese contractors selected from the Engineering News Record top 250 as samples using Fuzzy set qualitative comparative analysis. This study reveals that six factors, namely, enterprise scale, operation capability, financial capability, innovation capability, internationalization and corporate social responsibility (CSR), are key drivers of international contractors’ diversified operations. These factors combine to generate four different diversification paths, including three broad diversification paths and one narrow diversification path. The elements involved in these paths have complementary and enhanced roles in broadening the contractor’s diversified business operations, suggesting that contractors may need to integrate resources and make strategic adjustments to enhance their positioning in the international market. Among them, operation capability is the core element of diversified business operations and innovation capability and CSR are also important factors in successfully forming a “broad” diversified operation in the international market. The research results provide a profound understanding of which the key determining factors of the diversified business operations of international construction contractors to build new competitive advantages. This study has enriched the research perspective of contractor competitive advantage theory by introducing the concept of diversified operations, providing a comprehensive theoretical framework for understanding how contractors can expand their market paths. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-20 DOI: 10.1108/ECAM-07-2024-0990 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Truong Dang Hoang Nhat Nguyen, Soyeon Park, Jinhak Jeong, Yonghan Ahn Abstract: This study aims to evaluate user satisfaction and perceptions of the relocatable modular school (RMS) system in South Korea. It seeks to identify key factors for improvement to enhance the performance of this innovative construction method, particularly in the temporary educational sector. A comprehensive post occupancy evaluation (POE) was conducted, considering functional spaces, aesthetics, indoor environmental quality and technical aspects. This study also includes a comparative analysis with conventional school buildings to provide insights into the efficiency and potential of RMS. Relocatable modular schools can achieve the equivalent quality of building performance and user satisfaction as those built using traditional construction methods. The satisfaction performance of both methods falls within the “satisfied” level, with mean scores ranging from 3.35 to 3.90. Notably, when compared to ES, RMS exhibits a marginally lower satisfaction level in functional performance but a higher satisfaction level in the areas of aesthetics, IEQ and technical performance. Key factors identified for enhancement include optimizing classroom shape, balancing the window-to-wall ratio, enhancing natural ventilation and addressing floor noise and vibration concerns. This research is pioneering in evaluating user satisfaction and perceptions of RMS in South Korea, a relatively unexplored area. By taking a holistic approach and incorporating comparative analysis with traditional school buildings, the study provides valuable insights into the practical application and potential of modular construction in educational facilities. The results contribute significantly to the advancement of high-performance modular educational buildings, informing practitioners and stakeholders of user demands and guiding future developments in the field. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-19 DOI: 10.1108/ECAM-07-2024-0871 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Abhaysinha Gunvantrao Shelake, Nivedita Gunesh Gogate Abstract: This study aims to develop a comprehensive framework for addressing delays in tunnel construction projects by leveraging predictable risk factors. Tunnel projects often encounter scheduling delays due to inherent complexities and uncertainties, necessitating a proactive approach to prevent project underperformance. The integrated risk prioritization and determination of activity-wise delay (IRPAD) framework is divided into four phases: identification and prioritization of risk factors, determination of activity-wise risk coefficients using MCDM-based methodology, obtaining the critical risk path, and developing an activity-wise risk matrix. Fault tree analysis (FTA) and event tree analysis (ETA) are employed to determine activity-wise risk coefficients based on expert responses. The framework’s applicability in Indian tunnel projects is demonstrated through a real-world case study with 95% validation accuracy. The IRPAD framework enhances the delay analysis process and facilitates the provision of effective activity-wise mitigation measures. The IRPAD framework predicts delays in infrastructure projects thus enhancing resilience and sustainability, supporting SDGs 9 and 11. It can be applied to a wide range of construction projects to improve project performance. This research introduces novel concepts such as the three fold activity-wise risk matrix and the critical risk path, contributing to the development of the IRPAD framework for delay reduction. This framework offers valuable insights to practitioners in the construction industry. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-19 DOI: 10.1108/ECAM-06-2024-0780 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Javad Bakhshi, Hamed Golzad, Igor Martek, M. Reza Hosseini, Eleni Papadonikolaki Abstract: This study aims to investigate the complexity factors associated with BIM-enabled projects. BIM has been widely promoted as a potential solution to numerous challenges that hinder productivity in construction projects, owing to its numerous advantages. Nevertheless, it is crucial to acknowledge the heightened complexity it introduces to project workflows, stakeholder coordination and information management. This study employs the Delphi method to identify and extract complexity factors specific to BIM-enabled projects. A panel of industry and academic experts is engaged to discern and prioritise these factors based on their expertise and knowledge. The study reveals a comprehensive list of 34 complexity factors that significantly impact BIM-enabled projects. Among the most influential factors are laws and regulations, variety of procurement methods, technical capabilities of teams, project manager competence, information transfer capacity, range of project deliverables and diversity of project locations. The findings highlight the importance of these factors and emphasise the need for proactive and adaptive management to navigate their impact and achieve positive project outcomes. This study introduces the DEBACCS framework, a metric-based model designed to understand and evaluate complexity within BIM-enabled projects. DEBACCS stands for seven key dimensions: diversity, emergence, belonging, autonomy, connectivity, context and size. These dimensions represent essential aspects for gauging project complexity. By applying the concept of complexity from project management to BIM, the study offers valuable insights for practitioners and researchers. It provides a unique perspective on the challenges and considerations associated with implementing and managing BIM in construction projects. The findings have practical value for practitioners, enabling them to better understand and address the implications of complexity in BIM-enabled projects, ultimately leading to improved project outcomes. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-19 DOI: 10.1108/ECAM-07-2023-0702 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yuanxin Zhang, Liujun Xu, Xiaolong Xue, Zeyu Wang, Miroslaw Skibniewski Abstract: With the uptake of prefabricated construction (PC) facing serious obstacles in China, networked innovation can break the technical constraints while also containing the risks in individual innovation. However, the construction community has paid little attention to PC innovation, especially networked innovation. This study aims to gain deep insights into what impacts the formation and dynamics of a prefabricated construction innovation network (PCIN). With the uptake of PC facing serious obstacles in China, networked innovation can break the technical constraints while also containing the risks in individual innovation. The research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. It first conceptualizes the PCIN based on the quadruple helix model and formulates a corresponding system dynamics model based on causality analysis. After validating the PCIN model using empirical data, simulations are carried out using Vensim PLE software. Finally, this study identifies key factors that promote the formation of PCIN in China through sensitivity analysis. The results show that PC predicts a continuous increase in practice as of 2030. The tested drivers all positively influence the formation of the PCIN, with market demand and risk sharing having the greatest influence, followed by competitive pressure, profit government support, scientific and technological advancement and collaborative innovation strategy. The study makes three major contributions. First, it provides a novel angle for a deeper understanding of the PC innovation. Second, it proposes a new approach for probing the formation and dynamics of the PCIN. Finally, it offers a theoretical reference for promoting the formation of innovation networks and the development of PC. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-19 DOI: 10.1108/ECAM-10-2023-1073 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:R. Sharmila Devi, Swamy Perumandla Abstract: This study explores the factors influencing the investment intentions of potential home buyers among paraprofessionals in sustainable housing within urban construction. By combining the technology acceptance model (TAM) and the extended model of goal-directed behavior (EMGB), the research seeks to understand how technological perceptions, personal motivations and behavioral intentions intersect to shape these investment decisions. A quantitative, cross-sectional and descriptive research design was employed in this study. The study surveyed 641 paraprofessionals as potential home buyers in various Indian cities using a multi-stage stratified sampling technique. It incorporated variables from the TAM and EMGB, modifying some aspects to include financial self-efficacy, hedonic motivation and anticipated regret, alongside adding location as a new factor to examine its impact. For data analysis, partial least squares structural equation modeling was utilized. The analysis focused on hypothesis testing to examine the relationships between the constructs of interest. Bootstrap t-values and effect sizes were used to assess these relationships’ significance and magnitude. The study found that perceived usefulness and ease of use significantly enhance attitudes toward sustainable homes, while subjective norms have a minimal effect on such investments in India, emphasizing personal rather than societal influences. Financial self-efficacy, anticipated regret and hedonic motivation are key drivers, indicating that economic capacity and the pursuit of a satisfying lifestyle are crucial for investment intentions. Additionally, the importance of location is highlighted, with infrastructural aspects notably affecting sustainable housing appeal. These insights reveal unique dynamics in India’s sustainable housing sector, diverging from trends in developed countries. The study lies in its unique fusion of the TAM and EMGB specifically tailored to the Indian urban construction context. It introduces financial self-efficacy, hedonic motivation and anticipated regret as novel variables within these frameworks, alongside emphasizing the significant role of location in sustainable housing decisions. This approach offers new insights into the psychological and socioeconomic factors driving sustainable housing investments in developing countries. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-18 DOI: 10.1108/ECAM-02-2024-0191 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Florence Yean Yng Ling, Eunice Jing Yi Lew Abstract: Generation Z built environment (BE) undergraduates and graduates (Zoomers) are the latest cohort entering the job market. Existing research has yet to comprehensively explore approaches for attracting and engaging Zoomer employees within the BE sector. This study aims to identify effective strategies for recruiting and retaining Zoomers in the BE sector. A mixed-methods research design comprising survey and interviews with Zoomers was employed. Data were collected from Zoomers via an online survey using a structured questionnaire and interviews. The first finding, job flexibility, is the most important job motivator. Zoomers seek hybrid work arrangements, and a mix of fieldwork and desk bound work. The second finding, “earned media” (and not “owned media”), is an important way to attract Zoomers. As savvy digital natives, Zoomers rely on reviews about the organization posted on independent online platforms or employees’ own social media accounts. The third finding is the diminishing role of family in Zoomers’ decision-making about their careers. The findings are limited to Zoomers’ views about recruitment and retention within the BE sector. Recommendations are offered to organizations on strategic job redesign and increasing “earned media” to attract Zoomers. The findings contribute to understanding Zoomers’ approach to recruitment and retention based on Herzberg’s motivation-hygiene theory. Herzberg’s hygiene factors, which are essential benefits such as salary and career progression, remain important. The novel finding is the discovery of specific human resource (HR) practices that Zoomers consider to be hygiene factors, whereas older generations view them as “good-to-have” motivators. This underscores the intergenerational divergence in attitudes towards recruitment and retention in the BE sector. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-14 DOI: 10.1108/ECAM-08-2024-1109 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Alaeldin Abdalla, Xiaodong Li, Fan Yang, Qianhui Lou Abstract: With the rise in international construction projects, addressing the psychological health concerns of expatriate construction professionals (EXCPs) has become of paramount importance. Therefore, this study aims to identify and evaluate effective intervention measures to promote optimal psychological health and well-being in overseas working environments. Intervention measures were identified through a comprehensive literature review. Subsequently, using a case study of Chinese international contractors, data were collected via a quantitative survey administered to EXCPs holding managerial positions in international construction projects. Fuzzy synthetic evaluation was employed to analyze the data. The findings identified 23 intervention measures and 4 constructs, among them, measures focused on enhancing organizational justice and training practices offer the greatest potential for enhancing the psychological health and well-being during international assignments. Furthermore, the analysis showed that the overall criticality of the intervention measures to the international contractors is significant, suggesting that if put into practice, the psychological health and well-being of EXCPs can be significantly enhanced. While prior research has explored intervention measures suitable for construction professionals working on domestic projects, little attention has been paid to EXCPs in the context of international construction projects. This study offers an initial exploration of the most crucial intervention measures and provides a valuable resource for policymakers and practitioners seeking to establish a psychologically healthy working environment for international construction projects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-14 DOI: 10.1108/ECAM-09-2023-0900 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Bing Zhang, Cui Wang, Xuan Ze Ren Abstract: The construction industry has been investigating “where Henry Ford is in the industry system.” Given that listed construction enterprises are the backbone of the promotion of the high-quality development of the industry, their research and innovation are of considerable importance. This study aims to comprehensively assess the research and development (R&D) status quo and trends within various types of construction enterprises in order to identify effective strategies to enhance R&D efficiency in the construction industry. Based on the data won from annual reports and the CSMAR database for the period 2016–2020, this study examines 104 listed construction enterprises in China. By applying both the data envelopment analysis (DEA) method and the Malmquist productivity index, this research compares and analyzes the static and dynamic differences in R&D efficiency across different types of construction enterprises. Results suggest that the magnitude of change in the Malmquist decomposition index of 104 listed construction enterprises gradually narrowed, but the comprehensive technological level remained relatively low. Although state-owned enterprises had an advantage in scale efficiency, meaning they could maximize output with given inputs, their technological progress efficiency, also known as the degree of technological innovation, was significantly lower than that of private enterprises. As one finding, state-owned enterprises in comparison with private enterprises experience significant R&D inefficiency. It represents the main cause of their low degree of technological innovation and efficiency. This study assesses the R&D efficiency of listed construction enterprises in China from the perspective of different market segments, state-owned and private enterprises and suggests approaches to improve strategies for various corporate types. Thus, the study’s new findings contribute to addressing the challenge of low R&D levels in the construction industry in the fields of engineering, construction and architectural management. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-14 DOI: 10.1108/ECAM-05-2024-0560 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yan Wang, Chunpeng Liu, Wenchao Zhao Abstract: This study employed a questionnaire survey to understand the safety attitudes, focusing on safety motivation and risk tolerance as well as safety management practices, including safety training and safety incentives, among construction site employees, including both managerial personnel and frontline workers. The objective was to explore the relationship between safety management practices and safety attitudes within both the managerial and frontline worker groups. This study was conducted among 1,026 construction workers and 256 managerial personnel at 53 construction sites across 12 provinces in China. A t-test was used to compare the differences in safety-related scores between managerial personnel and frontline workers, and a structural equation model was used to explore the relationship between safety attitudes and safety management. This study found that the scores of managerial personnel for safety motivation, safety training and safety incentives were significantly higher than construction workers, while their scores for risk tolerance were significantly lower than construction workers. Managerial personnel’s safety motivation has a significant positive impact on both safety training and safety incentives, while their risk tolerance has a significant negative impact on safety incentives. Safety training has a significant positive effect on construction workers’ safety motivation, whereas safety incentives have a significant negative impact on construction workers’ risk tolerance. This study is one of the few that have investigated construction safety by conducting surveys targeting both site managerial personnel and frontline workers, employing an empirical approach to validate the role of safety management in transmitting safety attitudes from site managerial personnel to frontline workers. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-14 DOI: 10.1108/ECAM-08-2024-1032 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Minh Van Nguyen Abstract: Although risk and innovation are often linked, current studies exploring the correlation between these terms are scarce. This study empirically examines the relationship between construction firms’ risk perception, risk management planning and innovation orientation. A conceptual framework was formed through the literature and validated by the partial least squares structural equation modeling (PLS-SEM) technique, employing the data collected from 182 practitioners working in the Vietnamese construction sector. This study highlighted that innovation orientation can be categorized as creation and adoption. The findings indicated that while risk perception can hinder innovation creation, effective risk management planning can mitigate the adverse effects. The findings also highlighted that the focus on innovation adoption will negatively affect innovation creation. Additionally, the findings showed that risk management planning has a positive relationship with innovation creation. This study fills the research gap by explaining why innovation creation is often prioritized by innovation adoption, as risk perception acts as a deterrent. The results imply that construction firms should balance adopting innovations and fostering an environment conducive to innovation creation. It is recommended that these firms invest organizational resources in forming effective risk management plans to create a more secure environment for innovation creation. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-12 DOI: 10.1108/ECAM-01-2024-0137 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xiaolong Xue, Xianyu Tan, Hongqin Fan Abstract: Despite the continuous development and application of new digital technologies in the construction industry, there has been little research on digital technology trajectories in the construction industry. The study addresses the issue faced by the construction industry in exploring digital technology trajectories: how to comprehensively identify and analyse digital technology pathways across multiple technology fields in the construction industry. Firstly, the digital technology patent identification and classification method based on text mining is used to identify digital technology patents and construct a digital technology innovation network. Second, the main path of the digital technology innovation network is identified with the help of SPNP. Then, the subpaths of the digital technology innovation network are identified with the help of the Louvain algorithm and SPNP. Finally, starting from the technology nodes where the main path and subpaths intersect, the technological similarity of the paths is analysed to explore the evolutionary characteristics of the technology trajectories. In light of this, the developed method is applied to the global construction industry patent dataset to analyse the trajectories of digital technologies. The technological innovation path in the construction industry starts with construction materials and gradually expands to intelligence, automation and digital data processing technology. Equipment and devices with electronic digital data processing capabilities as well as improvements in green building technologies and user experience-enhancing technologies, may be the future of the construction industry. With the increasing demand for green buildings and intelligent buildings, the direction of digital technology innovation in the construction industry is gradually tilted towards these areas. In addition, influenced by geographic and economic factors, there is a spatial clustering effect of digital technology innovation in the construction industry. Future research should analyse in depth the performance of different countries and regions in digital technology innovation and explore the root causes, motivations and influencing factors behind it, such as the policy environment, the level of the economy and the investment in research and development. Exploring the reasons affecting digital technology innovation can help formulate more targeted policies and promote cooperation and exchange of digital technology innovation in the global construction industry. Meanwhile, to solve the problems of overly broad IPC categorization and the difficulty of accurately describing cross-field innovations, combining IPC co-occurrence networks with patent citation networks is an effective strategy. This strategy can track technologically interrelated patents and provide more specific contents to know the advantages and challenges of the construction industry in the field of digital technology innovation. The study has practical implications for the construction industry. The identification of digital technology innovation trajectories provides valuable insights for industry firms and research institutes. It helps them understand the current and future directions of digital technology in construction, enabling them to stay at the forefront of technological advancements. The findings highlight the importance of focusing on areas such as solar energy utilisation, green energy, intelligence, automation and data applications. This knowledge can guide firms in developing new building materials, incorporating digital information technologies and enhancing user experiences. The study’s results can inform strategic decision-making, technology adoption and innovation management in the construction sector. The social implications of this study are significant for various stakeholders. The identification of digital technology innovation trajectories in the construction industry highlights the potential benefits for society. The focus on green energy, intelligent buildings and enhanced user experiences aligns with the increasing demand for sustainability, energy efficiency and comfortable living environments. These technological advancements can contribute to reducing environmental impact, improving quality of life and promoting sustainable development. The findings can inform policymakers, urban planners and architects in shaping regulations, designing sustainable cities and creating buildings that prioritize energy efficiency and user well-being. Ultimately, the study’s social implications aim to foster a more sustainable and livable built environment. An identification method integrated with SPNP and the Louvain algorithm is developed to map digital technology innovation trajectories in the construction industry. This study helps to reveal the trajectories of digital technology innovation, provides new perspectives, insight and ideas for research in related fields and has great potential for applications in practice to promote the innovation and development of the construction industry. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-12 DOI: 10.1108/ECAM-06-2024-0768 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Shitao Jin Abstract: Mega construction projects (MCPs), characterized by their vast scale, numerous stakeholders and complex management, often face significant uncertainties and challenges. While existing research has explored the complexity of MCPs, it predominantly focuses on qualitative analysis and lacks systematic quantitative measurement methods. Therefore, this study aims to construct a complexity measurement model for MCPs using fuzzy comprehensive evaluation and grey relational analysis. This study first constructs a complexity measurement framework through a systematic literature review, covering six dimensions of technical complexity, organizational complexity, goal complexity, environmental complexity, cultural complexity and information complexity and comprising 30 influencing factors. Secondly, a fuzzy evaluation matrix for complexity is constructed using a generalized bell-shaped membership function to effectively handle the fuzziness and uncertainty in the assessment. Subsequently, grey relational analysis is used to calculate the relational degree of each complexity factor, identifying their weights in the overall complexity. Finally, the weighted comprehensive evaluation results of project complexity are derived by combining the fuzzy evaluation results with the grey relational degrees. To validate the model’s effectiveness, the 2020 Xi’an Silk Road International Conference Center construction project is used as a case study. The results indicate that the overall complexity level of the project is moderate, with goal complexity being the highest, followed by organizational complexity, environmental complexity, technical complexity, cultural complexity and informational complexity. The empirical analysis demonstrates that the model can accurately reflect the variations across different dimensions of MCP complexity and can be effectively applied in real-world projects. This study systematically integrates research on MCPs complexity, establishing a multidimensional complexity measurement framework that addresses the limitations of previous studies focusing on partial dimensions. Moreover, the proposed quantitative measurement model combines fuzzy comprehensive evaluation and grey relational analysis, enhancing the accuracy and objectivity of complexity measurement while minimizing subjective bias. Lastly, the model has broad applicability and can be used in MCPs across different countries and regions, providing a scientific and effective basis for identifying and managing MCP complexity. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-12 DOI: 10.1108/ECAM-07-2024-0951 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xiaobo Shi, Kangbo Fu, Yaning Qiao, João Santos, Zhenmin Yuan Abstract: This paper aims to explore the characteristics of lifting accidents and the significance of influencing factors and explain the causes from the perspective of human factors, thereby achieving a more accurate understanding of and prevention of lifting accidents. A mixed simulation model for prefabricated component lifting is established by combining discrete event simulation (DES) with the system dynamics (SD) method. In addition, essential parameters and relationships within the system dynamics model are determined through survey questionnaires. Finally, the human factors analysis and classification system (HFACS) is used to analyze the cause of the accident. The results show that workers falling from height and workers struck by objects are the most frequent types of lifting accidents. In 2072 experiments, these two types of accidents occurred three and five times, respectively. Besides, the links of “crane movement,” “component binding,” “component placement” and “component unhooking” are particularly prone to lifting accidents. In addition, the completeness of emergency plans, failure to observe the status of the tower crane and lack of safety education and training have emerged as primary influencing factors contributing to the occurrence of lifting accidents. The findings of the study can serve as a reference basis for practitioners, enabling them to preemptively identify possible risk accidents and adopt corresponding measures to prevent them, ensuring the safety and property of practitioners. Additionally, targeted suggestions and innovative ideas are provided to enhance the safety guarantee of the lifting industry and promote its healthy and stable development through a more concrete theoretical foundation and practical guidance. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-12 DOI: 10.1108/ECAM-04-2024-0431 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ali Mohammad Mirzaee, Igor Martek Abstract: Project claim performance is often poor with negative consequences for project-based organizations (PBOs). Conflict and emotion are reported to impact organizational claim performance outcomes, yet remains unexplored. This study investigates the multiple intelligence (MI) context from the viewpoint of the claim management office (CMO), with the intent of identifying pathways to improving the emotion-based claim performance of PBOs. The study utilizes an autoethnographic case study involving a PBO-based general contractor (GC). Multiple intelligence theory (MIT) is applied as the theoretical lens. Method of framework analysis is used in analyzing the data, with reference to claim management office (RFCMO) theory as a main source in making “analytic generalization”. Multifaceted complexities of MIs are identified, including ambidexterity, actions and relations, stress and conflict, cultural differences and universals, meta-strategic thinking and team diversity. The holistic emotion-based strategies model identifies how PBOs can improve claim performance, specifically by adopting theories confection remedy and controlling emotion outcomes strategies in a closed-loop process. Further, the coherent emotions governance (CEG) framework enables CMOs' to upgrade maturity levels, by integrating the strategies, general and specific measures for improving emotion-based organizational claim performance. This is a pioneering study in unveiling the complexities of organizational emotions engagement and the application of confection remedy, specifically in a project management context. The antecedents of RFCMO theory are here enriched with MIT and the pool of the supporting people-centered theories, augmented by an autoethnographic case study, in which the linkage between emotion and conflict complexity is laid bare. Further, this study identifies how conflicts in construction industry can be mitigated by way of a discrete three-category theories confection remedy. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-11 DOI: 10.1108/ECAM-05-2024-0570 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Shan Jiang, Jianyao Jia Abstract: In today’s turbulent and complex era, initiative behavior is becoming more drawn to construction projects but challenging to arouse as it is free of the established regulations in project practice. Given the prevalence of social media (SM) in modern workplaces, this study is thereby motivated to investigate whether and how SM use can act to drive initiative behavior of construction project members (PMs) in this context. This study sharply examines two distinct types of SM use – work-related and social-related – to explore their roles in driving the initiative behavior of construction PMs. Additionally, self-determination theory is employed to explore their underlying translation mechanisms and associated boundary conditions. A survey dataset collected from 229 construction PMs is used to empirically test the proposed theoretical model. Empirical results show that role-breadth self-efficacy, psychological safety and project identification, by satisfying basic psychological needs respectively, act as crucial bridging roles in translating SM use into initiative behavior of PMs. Such mediation effects are applied to both work-related and social-related SM use with varied mechanisms. Besides, prevention focus is found to be a contingent moderator on these relationships, with a strengthening role toward role-breadth self-efficacy and a weakening role toward project identification. This study digs into the nuanced mechanisms of how SM use benefits construction projects, especially in terms of PMs’ initiative. The findings of this research afford new insights into effectively invigorating the initiative behavior of construction PMs under the current digital momentum. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-11 DOI: 10.1108/ECAM-07-2024-0989 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Hui Lian Yip, Shi Yee Wong, Chu Sheng Ding, Wai Wah Low Abstract: The unethical practices of quantity surveyors (QSs) are affecting quality of construction projects, leading to projects’ time and cost overruns. However, the unethical practices of QSs specifically from contractor and consultant firms are currently understudied. Therefore, this research aims to investigate and categorize the unethical practices of QSs. A questionnaire survey was employed and distributed to the QSs who work in the contractor and consultant firms. Ninety-five responses were analyzed using Mann–Whitney U-test, factor analysis and partial least square-structural equation modeling (PLS-SEM). The findings unveiled disparity between the QSs who work in the consultant and contractor firms, as evidenced by 16 out of the 33 practices displaying statistical significance. The factor analysis results grouped 24 practices into seven components. The PLS-SEM analysis revealed that “contractors ‘collusion and consultants’ biased tender evaluation” had the most significant impact on the perceptions of ethical standards’ declination. The findings could serve as guideline for the management of consultant and contractor firms with QSs for better management procedures to avoid any intentionally or unintentionally unethical practices that may impact negatively on projects’ time, cost and quality. This is one of the first studies investigating the perspectives of QSs from the contractors and consultancy firms’ perspective by employing factor analysis and PLS-SEM. The findings could contribute to the body of knowledge in tackling the ethical transgressions specifically related to contractors’ or consultants’ QSs. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-11 DOI: 10.1108/ECAM-11-2023-1214 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Mehmet Yılmaz, Tayfun Dede Abstract: The purpose of this study is to enable the planning of construction projects with simultaneous consideration of time, cost and safety risks. It also aims to improve the decision-making process by evaluating the effectiveness of the Rao-2 algorithm in solving multi-objective time-cost-safety risk problems. In the end, this model is designed to support project managers in enhancing management approaches by addressing project challenges and constraints more efficiently. In this study, the Rao-2 algorithm, along with Grey Wolf Optimization (GWO) and Whale Optimization algorithm (WOA), were improved using the crowding distance-based non-dominated sorting method. Rao-2 was first compared to GWO and WOA. Subsequently, it was compared with well-established algorithms in the literature, including genetic algorithm (GA), particle swarm optimization (PSO) and differential evolution (DE). The C-metric, hypervolume and spread metrics were employed for performance measurement. The performance of the algorithms was evaluated on four case studies consisting of 11, 13, 18 and 25 activities. The results revealed that Rao-2 performs better than other algorithms as the number of activities increases, when compared using the Hypervolume, Spread and C-metric measures. In terms of performance measures, the GWO algorithm outperformed Rao-2 in some evaluation metrics for the instance involving 11 activities. However, as the number of activities grew, the Rao-2 method consistently generated higher-quality Pareto fronts and outperformed GWO and WOA in all evaluation metrics. The solutions generated by Rao-2 were also superior to those obtained from GA, PSO and DE in all case studies, further demonstrating the capability of our framework to produce a wide range of optimal solutions with high diversity across different case studies. This research demonstrates that Rao-2 not only improves solution quality when generating Pareto fronts but also achieves better results with fewer function evaluations compared to GA, PSO and DE. The algorithm's efficiency makes it particularly well-suited for optimizing time, cost and safety risks in large-scale construction projects, which in turn positions Rao-2 as a better choice for such projects by producing superior results compared to other algorithms. By providing high-quality solutions with reduced computational demands, Rao-2 offers a faster and more resource-efficient tool for decision-making, contributing to advancements in both the theory and practice of construction project management. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-08 DOI: 10.1108/ECAM-02-2024-0249 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Jingyang Zhou, Guangyuan Wang, Zhuo Diao Abstract: Industrial Internet Platform (IIP) integrates various new information technologies and forms an ecosystem around the platform. It promotes the optimization of resource elements and the collaboration of industrial chains, driving traditional enterprises towards comprehensive Digital Transformation (DT). This research explores the mechanisms through which the Industrial Internet Platform enables the digital development of enterprises. This study constructs an Industrial Internet Platform Ecosystem (IIPE) from an ecosystem perspective. Later, a systematic literature review was used to design a specific path for IIPE to enable enterprises' DT from the perspective of basic activities and organizational structure. The results indicate that in IIPE there is a hierarchical structure in the enabling mechanism of IIP. Firstly, the IIPE enhances the digital capabilities of enterprises through the foundational activities of DT. Secondly, the IIPE promotes the adjustment in enterprise structure and strategic orientation for adapting to the DT. More and more enterprises enter the IIPE and grow together in the ecosystem. As a result, the overall level of digitalization of the industry can be enhanced and all enterprises realize the expected benefits of DT. Existing research recognized the role of IIP in enterprise management or production processes, but the DT of enterprises is not a single aspect. This research elaborates the mechanism of comprehensive DT of enterprises from the perspective of ecosystems and discovers specific paths for DT. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-07 DOI: 10.1108/ECAM-01-2024-0083 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Mohamed Saad Bajjou, Anas Chafi Abstract: In the modern era, the concept of sustainability has become pervasive, permeating various sectors, including the construction industry. Driven by growing environmental concerns, construction organizations are increasingly compelled to seek operational excellence while realigning their practices towards environmental sustainability goals. Hence, this paper investigates the capability of lean construction (LC) principles in enhancing environmental performance (EP) within the construction industry using a structural equation modeling (SEM) approach. The study employs SEM to explore the relationship between LC components and environmental performance factors in the construction context. This methodology integrates both empirical and qualitative analyses within a structured framework to explore the relationship between LC components and EP factors in the construction context. By collecting and statistically testing data from 307 Moroccan construction companies, the study evaluates the impact of five LC principles – process transparency and standardization, continuous improvement, waste elimination, planning and scheduling and material flow and pull – on four environmental performance indicators: material use, energy consumption, non-product output and pollutant releases. The analysis reveals that, among the five LC principles – process transparency and standardization, continuous improvement, waste elimination, planning and scheduling and material flow and pull – the principles of waste elimination and planning and scheduling significantly contribute to environmental improvements. These practices were shown to impact positively four environmental performance indicators: material use, energy consumption, non-product output and pollutant releases. This research fills a critical gap in empirical studies on the beneficial effects of LC practices on environmental sustainability in the construction industry. It provides theoretical insights and practical recommendations for managers and practitioners to effectively implement LC principles, thereby promoting more efficient and sustainable practices, particularly in developing countries. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-06 DOI: 10.1108/ECAM-06-2024-0705 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Juliet Owusu-Boadi, Ernest Kissi, Ivy Maame Abu, Cecilia Dapaah Owusu, Bernard K. Baiden, Kenneth Eluerkeh, Stephen Nana Opoku Ware Abstract: Workforce diversity is essential for success from the perspectives of economic development and intellectual property. However, the construction industry is losing out on these gains due to the low diversity among them. The study aims to identify challenges impeding workforce diversity in construction literature through a mixed review approach. The study desk reviewed 188 relevant construction peer-reviewed articles and conference papers with no restrictions on the time range. The study adopted the mixed methodology review approach through bibliometric and systematic content analyses. The study identified 67 challenges and further classified them into 4 broad categories. These were industry-related, organisational-, personal or attitudinal- and health-related challenges. Organisational challenges were the most prevalent challenges of diversity uptake in the construction industry. The publications' most influential sources, countries/regions and annual trends were also discussed. Classifying the challenges hindering diversity contributes to the existing knowledge base. The framework's interrelationships among categorised barriers will enable construction professionals to make informed decisions in promoting diversity in the industry. This study has a broad geographical reach, allowing the findings to be widely applicable to the diverse practice of the worldwide construction sector. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-05 DOI: 10.1108/ECAM-02-2024-0216 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Chu Chu Myat Thwe Win, Tharindu C. Dodanwala, Djoen San Santoso Abstract: The present study developed an integrated model to evaluate the relationship between service quality, brand image, customer satisfaction and customer loyalty in the context of Myanmar’s construction industry. Data on the study variables were gathered from a cross-sectional survey of 210 client organizations that own private buildings in Myanmar. A factor analysis-validated structural equation model was developed to assess the research hypotheses and conceptual framework. The results supported an integrated model in which brand image partly mediated the effects of service quality on customer satisfaction. Besides, the brand image and customer satisfaction fully mediated the impact of service quality on customer loyalty. Brand image exerted indirect effects on customer loyalty through customer satisfaction. The study further identified the direct effects of service quality on brand image and customer satisfaction, brand image on customer satisfaction and customer satisfaction on customer loyalty. While prior studies have explored service quality in the construction industry, no integrated model has been developed to identify the relationship between service quality, brand image, customer satisfaction and customer loyalty in construction project settings. This study filled this critical gap in the literature by offering a unique perspective on the study variables and their interrelationships. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-05 DOI: 10.1108/ECAM-06-2023-0633 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Feiwu Ren, Yi Huang, Zihan Xia, Xiangyun Xu, Xin Li, Jiangtao Chi, Jiaying Li, Yanwei Wang, Jinbo Song Abstract: To address challenges such as inadequate funding and inefficiency in public infrastructure construction, PPPs have gained significant global traction. This study aims to comprehensively assess the impacts and mechanisms of PPPs on the SDI and to provide rational policy recommendations based on the findings. We collated a dataset from 30 Chinese provinces covering the years 2005–2020 as our research sample. The study’s hypotheses are tested using a double fixed-effects model, a chained mediated-effects model and a multidimensional heterogeneity analysis. Our findings indicate that PPPs have a facilitating effect on SDI in general. This boost usually lags behind policy implementation and is cyclical in the time dimension. In the spatial dimension, PPPs contribute significantly to SDI in the eastern and western regions, but not in the central region. From the perspective of the dynamics of economic, social and industrial development, PPPs in economically backward areas are difficult to promote SDI, promote it the most in economically medium regions and are slightly less in economically developed regions than in medium regions. This promotion effect has an inverted U-shaped relationship with social development and diminishes with industrial structure upgrading. Finally, due to the negative relationship between PPPs and social development and between social development and SDI, PPPs are shown to contribute to SDI and are identified as critical paths. However, PPPs suppress SDI by inhibiting economic and industrial development. This study makes three novel contributions to the existing body of knowledge: (1) we innovatively introduce the United Nations Sustainable Development Goals (SDGs) into the field of infrastructure research, offering fresh perspectives on SDI enhancement; (2) revealing the mechanisms by which PPPs affect SDI through the three dimensions of economic, social and industrial development enabling policymakers to better understand and optimize resource allocation and improve planning, design and management of PPP projects for sustainable infrastructure and (3) we assess the spatiotemporal variances of PPPs’ effects on SDI and the diversity across regions at different social, economic and industrial structures developmental stages, offering critical insights to global decision-makers to devise tailored policy measures. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-05 DOI: 10.1108/ECAM-12-2023-1267 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Vu Hong Son Pham, Luu Ngoc Quynh Khoi Abstract: This research aims to introduce a novel algorithm, the Chaotic Giant Pacific Octopus Optimizer (CGPOO) and demonstrate framework includes four key aspects: time, cost, quality and safety trade-off (TCQST). Artificial intelligence is causing a big disruption in the construction management. It is being used to building projects to enhance efficiency, safety and decision-making. This research compared the CGPOO method to those of other algorithms, such as the Chaotic Slime Mold Algorithm (CSMA), the Chaotic Salps Swarm Algorithm (CSSA) and the Chaotic Whale Optimization Algorithm (CWOA) and assessed the efficacy of the method using statistical analysis and evaluation indicators such as Hyper-volumn (HV), Spread (Sp), Computational Time (CT) and C-metric. The analysis demonstrates that using CGPOO outperforms standalone methods chosen from the literature in terms of outcomes. It is discovered that the CGPOO solution possibilities for each factors are more efficient and beneficial than the comparison algorithms. Moreover, the CGPOO model performs better than the other algorithms with quality indices C-metric, Sp, HV and CT of 0.534, 0.531, 0.891 and 101. The article presents a novel hybrid CGPOO that permits multi-factor trade-offs in construction management with the goal of surpassing the analyzed models and optimizing the optimal solution in the search space. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-01 DOI: 10.1108/ECAM-06-2024-0698 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Jing Yu, Jiawei Guo, Qi Zhang, Lining Xing, Songtao Lv Abstract: To develop an automated system for identifying and repairing cracks in asphalt pavements, addressing the urgent need for efficient pavement maintenance solutions amidst increasing workloads and decreasing budgets. The research was conducted in two main stages: Crack identification: Utilizing the U-Net deep learning model for pixel-level segmentation to identify pavement cracks, followed by morphological operations such as thinning and spur removal to refine the crack trajectories. Automated crack repair path planning: Developing an enhanced hybrid ant colony greedy algorithm (EAC-GA), which integrates the ant colony (AC) algorithm, greedy algorithm (GA) and three local enhancement strategies – PointsExchange, Cracks2OPT and Nearby Cracks 2OPT – to plan the most efficient repair paths with minimal redundant distance. The EAC-GA demonstrated significant advantages in solution quality compared to the GA, the traditional AC and the AC-GA. Experimental validation on repair areas with varying numbers of cracks (16, 26 and 36) confirmed the effectiveness and scalability of the proposed method. The originality of this research lies in the application of advanced deep learning and optimization algorithms to the specific problem of pavement crack repair. The value is twofold: Technological innovation in the field of pavement maintenance, offering a more efficient and automated approach to a common and costly issue. The potential for significant economic and operational benefits, particularly in the context of reduced maintenance budgets and increasing maintenance demands. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-01 DOI: 10.1108/ECAM-06-2024-0765 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Fangxin Li, Xin Xu, Jingwen Zhou, Jiawei Chen, Shenbei Zhou Abstract: Current practices for inspecting highway construction predominantly rely on manual processes, which result in subjective assessments, errors and time inefficiencies. The purpose of this study is to address the inefficiencies and potential inaccuracies inherent in manual highway construction inspections. By leveraging computer vision and ontology reasoning, the study seeks an automated and efficient approach to generate structured construction inspection knowledge in the format of checklists for construction activities on highway construction job sites. This study proposes a four-module framework based on computer vision and ontology reasoning to enable the automatic generation of checklists for quality inspection. The framework includes: (1) the interpretation of construction scenes based on computer vision, (2) the representation of inspection knowledge into structured checklists through specification processing, (3) the connection of construction scenes and inspection knowledge via ontology reasoning and (4) the development of a prototype for the automatic generation of checklists for highway construction. The proposed framework is implemented across four distinct highway construction scenarios. The case demonstrations show that the framework can interpret construction scenes and link them with relevant inspection knowledge automatically, resulting in the efficient generation of structured checklists. Therefore, the proposed framework indicates considerable potential for application in the automatic generation of inspection knowledge for the quality inspection of highway construction. The scientific and practical values of this study are: (1) the establishment of a new method that promotes the automated generation of structured inspection knowledge for highway construction by integrating computer vision and ontology reasoning and (2) the development of a novel framework that provides efficient and immediate access to inspection knowledge related to what needs to be inspected at highway construction job sites. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-01 DOI: 10.1108/ECAM-06-2024-0821 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ruiyang Ma, Chao Mao, Jiayin Yuan, Chengtao Jiang, Peiliang Lou Abstract: With the development of a new generation of digital technologies, digital transformation (DT) has become an inevitable trend for enterprises to achieve development in various industries. Nevertheless, the contradiction between the “fragmented” use of digital technologies and the “systematic” transformation of the industry leads to the underperformance of DT in the construction industry. Whilst previous studies have examined why DT is needed and how separate digital technologies can be used in construction projects, they failed to specify effective tools that can help enterprises identify key resources that facilitate DT from the organisational perspective. This study established an objective assessment framework for evaluating the digital transformation capability (DTC) of construction enterprises in identifying limitations in their transformation efforts. This study also established a management entropy quantitative model and a comprehensive capability evaluation model of DT to analyse the DT performance of construction enterprises from the internal and external perspectives. Data were collected from 95 listed enterprises in China’s construction industry in 2020 as a case study. This study concluded that enterprise profitability provides a strong endogenous driving force for DT. Research and development capabilities and DT proficiency of enterprises are the most critical factors in facilitating DT. In addition, China’s construction enterprises' DT was characterised by uneven development and low orderliness. The lack of a unified digital integration platform is key to cracking the dilemma. This paper systematically identified key DTC in construction enterprises and proposed an objective framework for measuring DTC to enhance the DT performance of these enterprises. Citation: Engineering, Construction and Architectural Management PubDate: 2024-11-01 DOI: 10.1108/ECAM-12-2023-1288 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Qianwen Zhou, Xiaopeng Deng, Ge Wang, Amin Mahmoudi, Na Zhang Abstract: Despite the knowledge transfer in project contexts which has been extensively studied by scholars, the study on inter-organizational knowledge transfer in international construction projects is still scattered and unsystematic. This research aims to explore the key factors influencing inter-organizational knowledge transfer of international construction projects and analyze how these factors interact to create a synthetic framework that enhances the effectiveness of knowledge transfer (EKT). At first, eight factors influencing inter-organizational knowledge transfer within international construction projects were identified, which were from the four dimensions of subject, relationship, channel and context, namely cultural distance, connection strength, organizational climate, intercultural competence, information technology capability, transmit willingness, receive willingness and richness of transfer channels. Then, a conceptual model was developed and 13 hypotheses were formulated, which were derived from a literature review and in-depth survey. After that, data from 353 respondents were collected and analyzed, and the hypotheses were tested by structural equation modeling analysis and bootstrapping test. The results suggest that cultural distance hinders transfer willingness, which further affects EKT. Connection strength affects EKT by positively influencing transfer willingness and channel. Besides, organizational climate and intercultural competence positively influence transfer willingness and further affect EKT, while information technology capability affects the richness of transfer channels. This research gives a thorough examination of the determinants influencing inter-organizational knowledge transfer of international construction projects, thus formulating available approaches that project managers and personnel can employ to effectively facilitate EKT. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-30 DOI: 10.1108/ECAM-05-2024-0692 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Zezhou Wu, Shuhui Zhang, Hong Xue, Vera Li Abstract: A series of policies have been formulated to promote off-site construction (OSC) development. However, the effectiveness of these policies has yet to be fully explored. This study aims to explore the practical policy configurational conditions for achieving a high level of OSC development. Data on policy configurational conditions and the OSC development level were collected from 28 provinces/municipalities in China using text mining. A mixed-method approach was used to conduct data analysis involving text analysis and qualitative comparative analysis (QCA). Text analysis was used to identify current policies with frequencies as independent variables and obtain the proportion of OSC projects in new construction projects as the dependent variable. QCA is employed to analyze the necessary and sufficient conditions of policy conditions for the high-level development of OSC by exploring the complex causal relationships between policy configurational conditions and the OSC development level. Nine policies are obtained from the current policy framework for promoting OSC development using text analysis: industry supports, land policies, presale policies, reputation rewards, regulation controls, tax incentives, floor area rewards, financial subsidies, and loan subsidies. Four policy configurational conditions are identified that can achieve a high development level of OSC: three incentive-driven policy conditions with industry supports, presale policies, tax incentives, and floor area rewards as the core conditions, and one compulsory-driven policy conditions with land policies, financial supports, and loan supports as the core conditions using fuzzy set QCA. Moreover, our study found that a single policy cannot achieve a high level of OSC development as a necessary condition, and the policy configurational conditions that lead to high and nonhigh levels of OSC development are asymmetrical. The study did not test the policy’s dynamic effects on the OSC development. A longitudinal study will be conducted to further identify the impact of policy on OSC implementation. It provides policymakers with four practical policy configurational conditions to promote OSC development and guides policymakers to optimize effective policies considering the interaction effects of effective policies such as industry supports, presale policies, tax incentives, and floor area rewards instead of their net effects. It contributes to the existing literature concerning the effects of policy on emerging technology (i.e. OSC) promotion by elucidating configurative effects rather than net effects. Meanwhile, it enriches the research on the antecedent conditions that affect the implementation of other emerging technologies in the architecture engineering and construction industry. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-29 DOI: 10.1108/ECAM-05-2023-0487 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Haizhe Yu, Xiaopeng Deng, Na Zhang, Xicheng Zhang Abstract: Blockchain technology (BCT) is considered a promising tool to improve the productivity of construction project management. Existing research has studied its potential costs and benefits for the construction industry. However, the potential costs and benefits of BCT failed to be compared as actual costs and benefits of specific applications for stakeholders. To fill this gap, this study seeks to analyze the cost-effectiveness of BCT-based applications in construction project management. This study is conducted with a customized systematic literature review based on transaction cost theory to enable qualitative comparison. With a deliberately designed structure confining extraneous variables, the costs and benefits of BCT-based applications are identified and compared. The inherent dependent relations of processes and the evolution relations of functions are identified. The cost-effectiveness of blockchain adoption is then analyzed. Seven functions and six challenges are identified within five processes. The result suggests all identified functions are cost-effective except for manual instruction (coding smart contracts manually). The smart contracts require explicit definition and logic to be effective. However, the construction projects essentially require the institution to be flexible due to unpredictability. The adoption of smart contracts and corresponding additional requirements can increase the transaction cost of bounded rationality. As manual instruction is fundamental to realize other functions, and its advanced substitute relies on its broad adoption, its cost-effectiveness must be improved for applications to be acceptable to stakeholders. The establishment of a universal smart contract model and a universal, legitimate and efficient database structure are recommended to minimize the cost and maximize the effect of applications. This study contributes to the knowledge by providing a comprehensive analysis of BCT adoption’s cost-effectiveness in construction project management. The adopted review structure can be extended to analyze the qualitative benefits and challenges of management automation in the early stages. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-28 DOI: 10.1108/ECAM-06-2023-0604 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Kai Liu, Yuanyuan Kou, Yuming Liu, Xiaoxu Yang Abstract: Construction safety resilience is gradually gaining attention in the field of engineering construction as a new management concept and way to improve safety performance. However, how to cope with the dilemma of the unclear relationship of construction safety resilience elements at the practice level and promote the harmonization of construction safety goals and resilience enhancement paths has become an urgent challenge for safe construction. This study analyzes the components of construction safety resilience elements. A relationship network model of construction safety resilience elements is developed by using the social network analysis method. The location and influence of each element in the network and the interrelationships among the elements are explored in depth. The findings reveal a robust interconnection among the elements of safety resilience in the construction industry. Key components such as safety behavior, risk prevention and control mechanisms, disaster prevention and mitigation technologies as well as information technology, are positioned at the core of the network. Notably, safety behavior exerts the most significant influence over the other elements, serving as the linchpin of safety management in the construction industry. Moreover, the interplay among safety resilience elements in the construction sector can alter the structure of the relationship network. This study adopts the social network approach to solve the problem that it is difficult to quantitatively analyze the elements of construction safety resilience and their interrelationships and to clarify the interactions among the core elements, which can help to further assist the construction project manager to continuously optimize safety resilience and improve construction safety. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-28 DOI: 10.1108/ECAM-07-2024-0848 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Natalie M. Scala, Thais da Costa Lago Alves, Dominique Hawkins, Vincent Schiavone, Min Liu Abstract: This paper introduces the weighting, analysis and validation method used in the development of the Maturity Model for Collaborative Scheduling (MMCS). The scoring and ranking process introduced by the MMCS fills a gap in the literature by supporting the selection of collaborative scheduling (CS) practices that yield more weight toward the achievement of higher maturity levels in the development and implementation of CS. The ranking process can then be used during pre/post project execution to track collaborative scheduling in practice against the model’s weighting and provide the project team with constructive feedback and actionable steps for reaching the next highest level of collaboration. The MMCS, which focuses on five pillars (key areas of interest for CS) and related swim lanes (specific attributes), covers a broad range of areas in the construction industry and was coded into a survey. The relative weights of pillars and swim lanes were then established using the Delphi method with the group of subject matter experts (SMEs), analyzed using multi-objective decision analysis (MODA) and validated using 241 answers to a survey with questions drawn from the MMCS, including organizations across the industry in the United States. The project scoring defines bounds for bronze, silver and gold levels of collaboration in scheduling. Project evaluations can then be used to identify areas for continuous improvement and enhanced collaboration. We offer recommendations and best practices for project improvement. Two original contributions resulted from this work: (1) a method to elicit weights based on a combination of Delphi, MODA and survey methods was used to develop and validate a scale with three different maturity levels to support the use and continuous improvement of CS practices and (2) a validated model was used to assess the maturity level of CS in construction projects alongside specific recommendations to move upward in terms of maturity. In practice, project leaders can use this model to assess project performance, advance the project’s maturity and guide continuous improvement efforts for enhanced collaboration. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-28 DOI: 10.1108/ECAM-03-2023-0236 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yongqiang Lu, Li Ma, Haona Yao Abstract: The contractors’ consummate performance behavior is the key to achieving the project’s value added, but existing research has paid little attention to how to stimulate this behavior. Based on contractual functions and regulatory focus theory, this study examined how the allocation of contractual functions and the contractors’ regulatory focus affect their consummate performance behaviors. At the same time, considering the important position of guanxi between owner and contractor, this study also examined the moderating effect of guanxi on the relationship between the contractors’ regulatory focus and consummate performance behaviors. This study first constructs a conceptual model that incorporates contractual functions (control, coordination and adaptation), contractors’ regulatory focus (promotion focus, prevention focus) and the effect of guanxi on contractors’ consummate performance behavior. Next, partial least squares structural equation modeling is used to analyze the survey data of 297 Chinese construction project professionals. This study has the following four findings. First, contractual control has a negative effect on contractors’ promotion focus but a positive effect on their prevention focus. Contractual coordination and adaptation have a positive effect on contractors’ promotion focus but a negative effect on their prevention focus. Second, contractors’ promotion focus has a positive effect on their consummate performance behaviors, while their prevention focus has a negative effect on such behaviors. Third, both of contractors’ promotion focus and prevention focus play a mediating role in the relationship between contractual functions and their consummate performance behaviors. Finally, guanxi plays a moderating role in the relationship between contractors’ regulatory focus and their consummate performance behaviors. Theoretically, this study enriches the research on the antecedents of contractors’ regulatory focus and extends the literature on contractual and guanxi management in construction projects. In practice, this study can provide guidance for improving contractors’ consummate performance behaviors and reasonable allocation of contractual functions. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-28 DOI: 10.1108/ECAM-02-2024-0250 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xian Zheng, Yiling Huang, Yan Liu, Zhong Zhang, Yongkui Li, Hang Yan Abstract: As the complex influencing factors for financing decisions and limited information at the early project stage often render inappropriate financing mode and scheme (FMS) selection in the large-scale urban rail transit (URT) field, this study aims to identify the multiple influencing factors and establish a revised case-based reasoning (CBR) model by drawing on experience in historical URT projects to provide support for effective FMS decisions. Our research proposes a two-phase, five-step CBR model for FMS decisions. We first establish a case database containing 116 large-scale URT projects and a multi-attribute FMS indicator system. Meanwhile, grey relational analysis (GRA), the entropy-revised G1 method and the time decay function have been employed to precisely revise the simple CBR model for selecting high-similarity cases. Then, the revised CBR model is verified by nine large-scale URT projects and a demonstration project to prove its decision accuracy and effectiveness. We construct a similarity case indicator system of large-scale URT projects with 11 indicators across three attributes, in which local government fiscal pressure is considered the most influential indicator for FMS decision-making. Through the verification with typical URT projects, the accuracy of our revised CBR model can reach 89%. The identified high-similarity cases have been confirmed to be effective for recommending appropriate financing schemes matched with a specific financing mode. This is the first study employing the CBR model, an artificial intelligence approach that simulates human cognition by learning from similar past experiences and cases to enhance the accuracy and reliability of FMS decisions. Based on the characteristics of the URT projects, we revise the CBR model in the case retrieval process to achieve a higher accuracy. The revised CBR model utilizes expert experience and historical information to provide a valuable auxiliary tool for guiding the relevant government departments in making systematic decisions at the early project stage with limited and ambiguous project information. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-25 DOI: 10.1108/ECAM-03-2023-0202 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Wenhua Hou, Wenlu Ran Abstract: This study aims to investigate the determinants of the capital structure of public–private partnership (PPP) projects in China and the nonlinear relationship between them. First, this study identifies potential factors that can influence the capital structure of PPP projects based on literature and theoretical analysis. Second, this paper collects data from PPP projects in China and empirically investigates them using multiple linear regression and machine learning methods. Finally, for machine learning model results, this paper adopts the Shapley additive explanations to interpret them. The results show that project size, contract duration, number of sponsors, urbanization level and regional openness are key factors influencing project capital structure, and there is a nonlinear relationship between all these factors and capital structure. Theoretically, this study complements the influencing factors of PPP project capital structure and reveals their nonlinear relationship. Practically, the findings of this study can help PPP project participants formulate project capital structure more scientifically. Practically, the findings of this study can help project managers to recognize the important factors affecting the capital structure of PPP projects and formulate capital structure more scientifically. Moreover the results are conducive to policymakers to predict a reasonable capital structure for PPP projects and better control project risks. These research findings can also help creditors make more accurate loan decisions and promote project success to meet the needs of the general public. Most existing literature has studied the linear relationship between influencing factors and the capital structure of PPP projects. This study uses machine learning models to explore the nonlinear relationship between influencing factors and the capital structure of PPP projects and explains the working principles. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-25 DOI: 10.1108/ECAM-04-2024-0462 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Maria Júlia Menezes-Firmino, Luciana Hazin Alencar, Svetlana Olbina Abstract: This research purpose was to develop a Value-Focused Thinking (VFT)-based framework for implementing an Agile-BIM in public institutions in Brazil. The framework is used for structuring an action plan for implementing the Agile-BIM. The methodology used to structure the Agile-BIM implementation framework is based on the VFT method, which enables a decision-maker’s strategic, fundamental and means-end objectives for the context analyzed to be more easily identified and better understood. The network developed shapes the decision context, shows possible paths toward achieving the fundamental objectives and guides the institution under study on the implementation process. Based on the networks of two decision-makers and the implementation factors identified, the Agile-BIM implementation framework is proposed. The study developed an Agile-BIM implementation framework that provides guidance for creating an Agile-BIM implementation plan in a public sector construction project and supports decision-making, in addition to clarifying the decision context for decision-makers and other actors involved. The framework consists of three main dimensions: “Project Stakeholder,” “Technology Infrastructure” and “Standardization and Procedures.” Each dimension comprises several factors that contribute to the Agile-BIM implementation process. The findings show that a structured approach to Agile-BIM implementation can support institutions in achieving a smooth and structured transition to BIM usage, thereby ensuring enhanced performance and compliance with legal requirements. The proposed framework can support the assessment of organizational needs and serves as a basis for guiding the implementation of Agile-BIM in public institutions. This framework for Agile-BIM implementation can guide other public institutions in formulating their action plans for implementing Agile-BIM. The framework demonstrates potential for being applicable in different contexts and being able to adapt to these. It can be transferred to other emerging and/or developing countries that are seeking to embrace Agile-BIM while considering the requisite adjustments inherent to each organization. The originality of this study lies in addressing the implementation of BIM in the public sector as a decision problem and using the values of the manager who is in charge in the institution to structure the Agile-BIM implementation, based on the VFT method. Furthermore, it proposes an implementation framework that integrates agile methodologies and BIM, known as Agile-BIM. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-25 DOI: 10.1108/ECAM-08-2023-0849 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ying Huang, Ruixiong Chen, Pan Guo, Zhaocheng Duan Abstract: This research uses the evolutionary game model theory to explore how to make decisions to maximize their own interests in the process of project claims from the perspective of small and medium-sized contractors in the construction industry. This study defines the discount factor in the claim process based on the characteristics of construction claims and provides a specific calculation method. The paper analyzes the matching degree between the evolutionary game model and the process of construction claims. Further, the discount factor is introduced to construct an evolutionary game model of engineering claims with the goal of maximizing the contractor’s benefits. The results of this study show that in the situation (C*d1-nC1*d1>0, v2-v1-g>0) and (C*d1-nC1*d1>0, v2-v1-g Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-25 DOI: 10.1108/ECAM-11-2023-1159 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Lianhua Cheng, Huina Ren, Huimin Guo, Dongqiang Cao Abstract: Safety cognitive ability is a key factor influencing unsafe behavior. However, the existing achievements have not yet involved the division of the hierarchical relationship of factors influencing safety cognition and lack a quantitative evaluation system of safety cognitive ability. The purpose of this paper is to find out the deficiencies in the safety cognition of workers in high-risk construction positions and to provide practical suggestions for improving their safety cognitive ability and reducing unsafe behavior. Based on the iceberg model, the factors influencing the safety cognitive ability of workers in high-risk construction positions and their hierarchical relationship were determined, and an evaluation index system consisting of four primary indicators and 20 secondary indicators was constructed. The game theory algorithm was used to optimize the subjective and objective weights of the indicators calculated by the sequential analysis method (G1) and the entropy weighting method (EWM) to obtain the optimal combination weight value. The Matlab software was used for cloud mapping and similarity calculation to determine the safety cognitive ability level of the object to be evaluated. The research results indicate that the comprehensive level of safety cognitive ability of scaffolders in this construction project is at “Level III”, the fundamental factors and compliance factors are at “Level IV”, the auxiliary factors and driving factors are at “Level III”. This conclusion aligns with the situation learned from the previous field investigation, which validates the feasibility and scientificity of the proposed evaluation method. Considering that the safety cognitive ability of construction workers is constantly changing, this study has not yet delved into the specific impacts of various influencing factors on the level of safety cognitive ability. Future research can utilize simulation software, such as MATLAB and Vensim, to construct dynamic simulation models that accurately simulate the changing rules of construction workers’ safety cognitive ability under the influence of different factors. This research broadens the application scope of the iceberg model, enriches the analysis model of the factors influencing the safety cognitive ability of workers in high-risk construction positions and provides a novel perspective for similar research. The safety cognitive ability evaluation method proposed in this paper can not only accurately evaluate the safety cognitive ability level of workers in high-risk positions such as scaffolders but also provide practical suggestions for improving the safety cognitive ability of workers, which is of great significance to improve the safety management level and reduce unsafe behavior in the construction field. This research fills the research gap of workers in high-risk construction positions and the quantification of safety cognitive ability. The iceberg model is used to realize the hierarchical division of the factors influencing safety cognitive ability. Additionally, an evaluation method for the safety cognitive ability of workers in high-risk construction positions based on the game theory combination weighting method and cloud model is proposed, which realizes the quantitative evaluation of safety cognitive ability. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-24 DOI: 10.1108/ECAM-05-2024-0625 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Si Yee Tiew Abstract: Construction contract administration should be carried out by a person (normally engineer or architect depending on the type of contract) with expert technical knowledge of the construction process, strong leadership quality, highly developed interpersonal skills and an understanding of contractual, legislative and statutory underpinnings. However, due to a shortage of architects, graduate architects have been assigned to perform a partial role. Architectural firms are disappointed with the quality of the graduates and still note that they have to mentor them to be competent for their jobs. This paper aims to develop a construction contract administration (CCA) framework for graduate architects that aids the smooth running of a construction contract. Seven housing projects in Malaysia have been selected as case studies. Documentation review and semi-structured interviews relevant to selected case studies were conducted to collect data to develop the CCA framework. The draft framework will then be validated through a focus group study. A total of 5 themes and 11 sub-themes with core tasks were developed in the CCA framework. The themes involved are claims and legal matters management, communication and relationship management, project management, design management and quality assessment and management. Sub-themes are authority matters, building certification, meetings, coordination checklist, letter writing, contract documentation, building material, design brief, building sustainability and workmanship quality standards, contractors’ submission and building details. The contribution of this study can be utilized for developing further models in the future that would improve the work performance of graduate architects. The framework assists the university by moving forward to the professional practice stage. In addition, it indirectly enhances the potential of graduate architects to perform efficiently and intensifies the bonding between project stakeholders. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-22 DOI: 10.1108/ECAM-09-2023-0903 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ali Hassan Ali, Tarek Zayed, Sulemana Fatoama Abdulai, Roy Dong Wang Abstract: This study aims to explore the tower crane safety factors (TCSFs) that influence tower crane safe operations (TCSOs) in modular integrated construction (MiC). It evaluates how the adoption of these factors contributes to achieving TCSOs and promoting sustainable practices (SPs) within MiC. To achieve this aim, the study employed a systematic search to ensure a comprehensive collection of variables. Additionally, it conducted a questionnaire survey involving professionals and utilized a brainstorming technique to categorize the different variables. Finally, partial least squares structural equation modeling (PLS-SEM) was employed to test the relationship between TCSOs and SPs. The results of measurement models indicated strong convergent and discriminant validity, with each observed variable correlating well with its latent variable. Moreover, a significant positive correlation between TCSOs and SPs was evidenced by a path coefficient (β = 0.755) and a p-value of Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-22 DOI: 10.1108/ECAM-05-2024-0657 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Shengbin Ma, Zhongfu Li, Jingqi Zhang Abstract: The waste-to-energy (WtE) project plays a significant role in the sustainable development of urban environments. However, the inherent “Not in my backyard” (NIMBY) effect presents substantial challenges to site selection decisions. While effective public participation is recognized as a potential solution, research on incorporating it into site selection decision-making frameworks remains limited. This paper aims to establish a multi-attribute group decision-making framework for WtE project site selection that considers public participation to enhance public satisfaction and ensure project success. Firstly, based on consideration of public demand, a WtE project site selection decision indicator system was constructed from five dimensions: natural, economic, social, environmental and other supporting conditions. Next, the Combination Ordered Weighted Averaging (C-OWA) operator and game theory were applied to integrate the indicator weight preferences of experts and the public. Additionally, an interactive, dynamic decision-making mechanism was established to address the heterogeneity among decision-making groups and determine decision-maker weights. Finally, in an intuitive fuzzy environment, an “acronym in Portuguese of interactive and multi-criteria decision-making” (TODIM) method was used to aggregate decision information and evaluate the pros and cons of different options. This study develops a four-stage multi-attribute group decision-making framework that incorporates public participation and has been successfully applied in a case study. The results demonstrate that the framework effectively handles complex decision-making scenarios involving public participation and ranks potential WtE project sites. It can promote the integration of expert and public decision-making preferences in the site selection of WtE projects to improve the effectiveness of decision-making. In addition, sensitivity and comparative analyses confirm the framework’s feasibility and scientificity. This paper provides a new research perspective for the WtE project site selection decision-making, which is beneficial for public participation to play a positive role in decision-making. It also offers a valuable reference for managers seeking to effectively implement public participation mechanisms. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-22 DOI: 10.1108/ECAM-05-2024-0664 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yinglin Wang, Yulong Li, Jiaxin Zhuang Abstract: In order to make the construction industry develop in the direction of greening, this paper analyzes whether the application of intelligent technology in prefabricated buildings can achieve carbon emission reduction, starting from the problems of weak technology and insufficient encouragement policies in the prefabricated building industry. It also designs dynamic and adjustable incentives for the smart transformation of prefabricated buildings and makes recommendations to facilitate the transformation of assembly manufacturers into “smart factories”. This paper takes the intelligent technology for carbon reduction, energy efficiency and policy design in the prefabricated buildings industry as the starting point. Based on in-depth expert interviews and questionnaire survey data, a linear multiple regression model is used to establish an association network of intelligent technology in the production and transportation, construction, operation and maintenance, demolition and scrapping stages. On this basis, an evolutionary game theory is used to construct a smart transformation and carbon reduction utility game model between the government and manufacturers, and relevant suggestions for smart empowerment of green construction development technology combinations and policy settings are proposed. An assembly manufacturing plant with smart empowerment is an important way to achieve green and sustainable development in the construction industry. Among them, BIM and IoT have made a greater impact on carbon emission reduction of prefabricated buildings in all stages of the whole life cycle. The government’s proposed energy efficiency incentives and environmental tax amount will effectively increase companies' motivation for smart transformation of prefabricated buildings. However, when the environmental tax amount is low, the government should strengthen the regulation of the industry in order to increase the speed of smart transformation of assembly manufacturers. Therefore, a reasonable setting of the environmental tax rate and energy-saving incentives and flexible adjustment of the regulatory efforts can maximize the functional utility of the government in the process of smart transformation. This paper focuses on the impact of intelligent technologies on the overall carbon emissions of the industry and provides an evolutionary analysis of the strategic game between the government and assembly manufacturers, the main players in the smart transformation process of prefabricated buildings. However, smart technologies for different categories of assembly manufacturing plants and strategic options for a wider range of stakeholders have not been examined in depth. Different from existing research, this study focuses on exploring the strategic game between the government and assembly manufacturers in the smart transformation of prefabricated buildings. It provides an innovative explanation of the connection between intelligent technology and carbon emissions. The study develops an evolutionary game model for both parties, addressing the research gap on the combined effects of policy incentives and intelligent technology on carbon reduction and efficiency improvement in the prefabricated buildings industry. This research not only offers practical reference for the government in designing incentive mechanisms and establishing regulatory systems but also provides feasible practical guidance for the smart transformation and carbon reduction efforts of assembly manufacturing plants. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-22 DOI: 10.1108/ECAM-11-2023-1139 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Muhammad Ayat, Mehran Ullah, Zeeshan Pervez, Jonathan Lawrence, Chang Wook Kang, Azmat Ullah Abstract: The study aims to examine the impact of key variables on the success of solicited and unsolicited private participation in infrastructure (PPI) projects using machine learning techniques. The data has information on 8,674 PPI projects primarily derived from the World Bank database. In the study, a machine learning framework has been used to highlight the variables important for solicited and unsolicited projects. The framework addresses the data-related challenges using imputation, oversampling and standardization techniques. Further, it uses Random forest, Artificial neural network and Logistics regression for classification and a group of diverse metrics for assessing the performances of these classifiers. The results show that around half of the variables similarly impact both solicited and unsolicited projects. However, some other important variables, particularly, institutional factors, have different levels of impact on both projects, which have been previously ignored. This may explain the reason for higher failure rates of unsolicited projects. This study provides specific inputs to investors, policymakers and practitioners related to the impacts of several variables on solicited and unsolicited projects separately, which will help them in project planning and implementation. The study highlights the differential impact of variables for solicited and unsolicited projects, challenging the previously assumed uniformity of impact of the given set of variables including institutional factors. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-18 DOI: 10.1108/ECAM-01-2024-0134 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:S.M. Jamil Uddin, Alex Albert, Mahzabin Tamanna Abstract: Construction Hazard Prevention through Design (CHPtD) is recognized as a pivotal strategy for enhancing workplace safety. Despite its theoretical potential, practical implementation faces challenges, particularly regarding designers' familiarity with field-level operations and hazard recognition. This study aims to investigate whether ChatGPT can address these challenges by assisting in hazard recognition during CHPtD sessions. The research utilized a randomized controlled experiment to assess ChatGPT as an intervention in supporting hazard recognition during CHPtD sessions. The study involves 162 civil and construction engineering student participants, representing future professionals. Participants engaged in hazard recognition during CHPtD sessions either with or without the assistance of ChatGPT. Participants who utilized ChatGPT during CHPtD sessions demonstrated a significant improvement in hazard recognition, identifying approximately 40% more hazards compared to those who did not use ChatGPT. These findings underscore the efficacy of ChatGPT in supporting CHPtD efforts. The results highlight the practical utility of harnessing ChatGPT in CHPtD sessions to enhance hazard recognition and ultimately promote workplace safety. By leveraging ChatGPT, designers and engineers can better anticipate and mitigate potential hazards during the design phase, thus creating a safer working environment for field workers. This research contributes to addressing the challenges associated with implementing CHPtD by introducing ChatGPT as a valuable tool to support hazard recognition. By demonstrating the effectiveness of ChatGPT in enhancing hazard identification during CHPtD sessions, this study offers a novel approach to promoting the adoption of CHPtD and advancing workplace safety initiatives. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-18 DOI: 10.1108/ECAM-03-2024-0314 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Phuoc Luong Le, Mai Quynh Nguyen, Hai Thanh Pham Abstract: Enhancing sustainable construction supply chain performance is crucial and can be achieved through supply chain integration, eco-design and digital transformation. This study aims to evaluate the impacts of supply chain integration, eco-design and digital transformation on the performance of construction supply chains. This study uses the PLS-SEM model to analyze the data collected by survey. Experts’ evaluation also validated the results of the structural model. Sustainable supply chain performance in construction projects is significantly impacted by supply chain integration, eco-design and digital transformation. The results also suggest that supply chain integration and eco-design can be enhanced by focusing on digital transformation. Construction managers can enhance the performance of sustainable construction supply chains. This study contributes to the understanding of sustainable supply chain management in the construction sector, which is consistent with dynamic capacities theory. Current research has not examined the roles of supply chain integration, eco-design and digital transformation in enhancing sustainable supply chain performance in the construction industry. These roles have been superficially considered in prior studies. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-18 DOI: 10.1108/ECAM-03-2024-0391 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xinyu Mei, Feng Xu, Zhipeng Zhang, Yu Tao Abstract: Workers' unsafe behavior is the main cause of construction safety accidents, thereby highlighting the critical importance of behavior-based management. To compensate for the limitations of computer vision in tackling knowledge-intensive issues, semantic-based methods have gained increasing attention in the field of construction safety management. Knowledge graph provides an efficient and visualized method for the identification of various unsafe behaviors. This study proposes an unsafe behavior identification framework by integrating computer vision and knowledge graph–based reasoning. An enhanced ontology model anchors our framework, with image features from YOLOv5, COCO Panoptic Segmentation and DeepSORT integrated into the graph database, culminating in a structured knowledge graph. An inference module is also developed, enabling automated the extraction of unsafe behavior knowledge through rule-based reasoning. A case application is implemented to demonstrate the feasibility and effectiveness of the proposed method. Results show that the method can identify various unsafe behaviors from images of construction sites and provide mitigation recommendations for safety managers by automated reasoning, thus supporting on-site safety management and safety education. Existing studies focus on spatial relationships, often neglecting the diversified spatiotemporal information in images. Besides, previous research in construction safety only partially automated knowledge graph construction and reasoning processes. In contrast, this study constructs an enhanced knowledge graph integrating static and dynamic data, coupled with an inference module for fully automated knowledge-based unsafe behavior identification. It can help managers grasp the workers’ behavior dynamics and timely implement measures to correct violations. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-18 DOI: 10.1108/ECAM-05-2024-0622 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yuying Wang, Guohua Zhou Abstract: The suppliers of experimental resources required in megaprojects are driven by short-term interests, presuming that participation in the digital platform would only increase their inputs and fail to rapidly expand their revenue, resulting in their insufficient motivation to participate. This paper aims to design effective incentives for these suppliers exhibiting the aforementioned behaviour to drive them to participate and actively share their resources on the platform. This paper develops incentives for applying the digital platform for experimental resource sharing by using a reverse induction approach to model and solve an incomplete information game. It compares the traditional experiment management mode and the new mode of applying the digital platform, taking the degree of sharing experimental resources on the platform as the variable and constructing three incentive models. By analysing these different degrees of sharing and the different experimental and informatisation capabilities of the suppliers, it could obtain the optimal incentive scheme for changes in sharing behaviour. The results show that the designed incentives could increase the participation of suppliers in the platform and the number of their shared resources and make the benefits of both the supplier and the demand side reach the optimal state of a win-win situation. However, a higher degree of sharing by suppliers does not yield better results. In addition, the incentive coefficients for this degree should be set based on the suppliers’ different experimental and informatisation capabilities and the ratio of input cost-sharing, so as to avoid blind inputs from both supply and demand. This study fills the research gap regarding incentives of the digital platform of experimental resource-sharing for megaprojects; it contributes to the body of knowledge by providing a quantitative perspective of understanding the experimental resource-sharing behaviour that motivates the usage of the digital platform. Furthermore, it reveals the incentive mechanism for application in different scenarios, and quantitative analysis is conducted to provide practical insights into promoting the new experiment management mode in megaprojects for more effective incentivisation. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-18 DOI: 10.1108/ECAM-11-2023-1101 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Lin-Lin Xie, Guixin Lin, Yifei Luo Abstract: This study aims to construct a “contractual–relational–governmental” 3D governance framework for new infrastructure projects (NIPs) within China’s distinct institutional context. The primary objective is to explore the impact of multiple governance mechanisms on the NIP performance, thus identifying the key governance mechanisms and proposing targeted performance improvement strategies. The research design follows a sequential mixed methodology of integrating qualitative and quantitative data collection and analysis. Firstly, project governance and performance indicators were collected from relevant literature and expert interviews. Secondly, a questionnaire was developed, and data were collected through on-site and online means. Finally, the partial least square structural equation model (PLS-SEM) was utilized to examine and analyze the relationships between governance mechanisms and NIP performance. Contractual, relational and governmental governance all have a certain role in promoting the NIP performance. Specifically, contract stringency, trust and governmental decision are the core elements of contractual, relational and governmental governance, respectively, while commitment does not significantly affect NIP performance. Generally, relational and governmental governance exert a more substantial influence compared to contractual governance, with governmental decision and trust being the most effective. This paper contributes to the field by introducing PLS-SEM as a measurement tool for exploring the impact of multiple governance mechanisms on governance performance in NIPs. The results offer valuable insights for project managers, enabling them to concentrate on core factors while refining and optimizing governance mechanisms and strategies. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-17 DOI: 10.1108/ECAM-05-2023-0449 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xiancun Hu Abstract: This paper systematically presents a critical review of data envelopment analysis (DEA) for performance measurement in the construction field. The review approach consists of a systematic literature search, validation analysis and content analysis. The paper systematically reviews previous papers according to the year of publication, journal, authors, region, research keywords, performance measurement indicators and methodology framework. A total of 192 journal papers from the first year of publication to 2022 are identified. DEA applications have increased over the years, particularly after 2020. All of the top five journals which published the most identified papers are Q1 journals. Around 74 primary indicators of performance measurement are recognised for the construction industry, company and project levels. A total of 21 top keywords are identified and then divided into five clusters using VOSviewer. DEA has been widely utilised to measure construction performance and benchmark technologies, particularly where sustainable development performance has become a popular topic recently. How to effectively distinguish performance indicators, collect research data, build DEA models and deeply analyse DEA results are illustrated for future practitioners. The performance measurement and improvement cycle based on DEA is provided. Research directions and method recommendations are developed for future scholars using DEA. This is the first comprehensive review that has initially presented various performance indicators and a methodology framework for developing DEA models to investigate performance measurement in the construction field. The methodology framework of DEA is developed, including data collection, model construction and further analysis of DEA results. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-17 DOI: 10.1108/ECAM-05-2023-0515 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Guochao Zhao, Meixue Wang, Juanfeng Zhang Abstract: This study proposes low-carbon technology (LCT) solutions from the perspective of incremental cost-effectiveness and public satisfaction based on calculating carbon emissions and economic costs. According to the citation frequency, 11 indicators of low-carbon neighborhood (LCN) were selected so as to construct the low-carbon renewal potential evaluation model. Five neighborhoods were selected to evaluate low-carbon renewal potential based on the driving-pressure-state-impact-response (DPSIR). Moreover, the neighborhoods with the highest renewal potential were selected for further analysis. Then, the feasibility decision was carried out among seven typical LCTs based on the value engineering (VE) method. Finally, the TOPSIS method was applied to calculate the public satisfaction and demand so as to get the priorities of these LCTs. Through comprehensive analysis, the final LCT solutions could be carried out. Our practice proves that the evaluation model combined with the decision-making methods can provide scientific decision-making support for the LCT solutions. Some LCTs perform consistently across different neighborhoods by comparing VE results and TOPSIS rankings. The solar photovoltaic (PV) (T3) has high value and significant attention which gives it a top priority for development, while the energy-efficient windows and doors (T2) have relatively low value. There is a lack of research that considers the economic cost, low-carbon efficiency and public satisfaction when proposing LCT solutions for neighborhood renewal projects. Faced with the problem, we practice the decision-making from two dimensions, that is, the “feasibility decision with VE” and the “priorities decision with TOPSIS.” In this way, a balance between incremental cost-effectiveness and public satisfaction is achieved, and LCT solutions are proposed. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-17 DOI: 10.1108/ECAM-10-2023-1023 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Lingzhi Li, Shilong Jiang, Jingfeng Yuan, Lei Zhang, Xiaoxiao Xu, Jing Wang, Yilun Zhou, Yunlong Li, Jin Xu Abstract: Existing hospital building operations involve numerous information technology applications and complex building systems; therefore, an intelligent facility management (FM) platform is required to ensure their continuous operation. To address the persistent issues of data silos, inefficient data interoperability, and workflow incoordination that have been identified in the current body of FM practice and literature, the present study develops a data-asset (DA) centric FM platform specifically designed for hospital buildings. This study proposes a semi-customized approach to develop the DA-centric FM platform for hospital buildings. To elucidate the precise function requirements of the hospital FM platform, focus group interviews are employed. By seamlessly integrating the as-built BIM model, IoT sensor data and FM workflow data, the BIM-based DA model with a data transfer mechanism is developed. The development of the FM platform with function modules in a case study is guided by a five-tier architecture and the coordination theory (CT). The case study provides an in-depth introduction to the applications of DA management, space management and maintenance management modules. The capabilities of the developed DA-centric hospital FM platform are validated through the case application and user satisfaction survey, which assess data quality, automation level, operation efficiency, flexibility and functionality. For hospital FM activities, this DA-centric FM platform realizes data integration and seamless transformation, optimizes workflow coordination and enhances operation performance. The initial scholarly contribution is the establishment of the BIM-based DA model, which serves as the data middle platform for continuous data integration, transmission and sharing within the FM platform. Subsequently, under the guidance of the CT, the business process of function modules is designed, improving the intra-module and inter-module workflow coordination. The developed DA-centric FM system along with its performance benchmarking application, assists facility managers and decision-makers in implementing smart operations for hospital buildings and achieving the management goals of safety, efficiency, energy savings and convenience. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-15 DOI: 10.1108/ECAM-03-2024-0274 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Haize Pan, Hulongyi Huang, Zhenhua Luo, Chengjin Wu, Sidi Yang Abstract: During metro construction using the shield method, the construction process's complexity, the construction environment's variability, and other factors can easily lead to tunnel construction accidents. This paper aims to explore the interconnections between risk factors and related accident types, as well as the risk chain formed between risk factors, and to analyze the key risk factors and vulnerabilities in shield tunnel construction through empirical data. Based on the social network analysis theory, the connection of various risk factors in subway shield tunnel construction is explored, and the mechanism of multiple risk factors is studied. Through literature analysis, articles on safety risk factors in metro shield tunnel construction are organized and studied, and the identified safety risk factors can comprehensively reflect the significant risks that need to be concerned in metro shield tunnel construction. The results show that a small world characterizes the SNA network of safety risk factors for metro shield tunnel construction: The frequency of association between the five risk factors “unsafe behavior,” “site management,” “safety supervision and inspection,” “safety education system” and “safety protection” is higher than that of other factors. Only a few risks, such as “site management,” “safety supervision and inspection,” and “rapid response capability,” directly lead to accidents. In addition, risk factors such as the “safety education system” and “safety protection” will indirectly cause unsafe behaviors of construction personnel. During construction, the probability of occurrence of risk factors may vary with the construction phase and area and is not considered in this paper. In addition, although this paper identifies, determines and analyzes the risk factors affecting the safety of metro shield tunnel construction, including the importance of each risk factor and the connection between them, more detailed information before and after the accident could not be obtained based on the accident investigation report alone. Therefore, future research can collect the same accident case from more sources to obtain more information. The theory of accident causation has been improved at the theoretical level. The identified safety risk factors can comprehensively reflect the significant risks that need to be paid attention to in metro shield tunnel construction. From a practical point of view, the results of the study provide a basis for the rational control of the risk factors in the construction of subway shield tunnels, which can help guide practitioners to do a good job of risk prevention before the construction of metro shield tunnels and reduce the probability of related accidents. This study expands the application of social network analysis in the field of subway tunnel construction risk, quantitatively analyzes the key risk factors and vulnerabilities in shield method tunnel construction and proposes policy recommendations for future metro tunnel construction safety management. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-15 DOI: 10.1108/ECAM-05-2024-0685 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Jungang Luo, Djoen San Santoso, Weitao Xu Abstract: This study aims to investigate the process of adjustment for international construction professionals when facing new technical contexts. It introduces a framework called construction technical intelligence (CTI) and seeks to provide valuable insights and practical guidance for professionals involved in international construction projects. In this study, a grounded theory approach was employed, which included conducting in-depth interviews with 28 professionals engaged in international construction projects. The qualitative data gathered from these interviews underwent systematic analysis to identify important categories and develop theoretical perspectives. The findings demonstrate the framework of CTI, which encompasses four essential dimensions that play a significant role in facilitating the successful adjustment of international construction professionals to new technical contexts. These dimensions underscore the multidimensional nature of CTI and offer valuable insights into the necessary capabilities for professionals to thrive in dynamic and globalized construction environments. By proposing this comprehensive framework, the study contributes to the knowledge and understanding of the technical adjustment process for international construction professionals. It also establishes a foundation for future quantitative research to validate and refine the proposed model, enabling a deeper comprehension of the dynamics involved in professionals' technical adjustment. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-11 DOI: 10.1108/ECAM-10-2023-1041 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xiaojuan Li, Rixin Chen, Weibin Chen, C.Y. Jim Abstract: Prefabricated building (PB) uses factory production and onsite assembly, which differs from traditional construction methods. This special construction approach may lead to dissimilar safety risks and challenges. Traditional safety assessment methods may not adequately and accurately assess the safety risks of PB construction. This paper aims to develop a new concept and methodology for targeted improvement in assessing PB safety risks. Risk factors and indicators were established based on literature review and expert inputs. A structural equation model (SEM) was developed to investigate the relationships among three main risk categories: objects, workers and management. SEM analyzed the intricate associations between indicators and deepened understanding of safety risks. The model was tailored for China’s PB construction projects to enhance safety-risk management. The cloud model evaluation validated the SEM model. A PB case study project tested and verified the model, evaluated its efficacy and quantified its safety performance and grade. We identified significant safety risk impacts across the three risk categories, safety-control level and specific areas that require improvement. The SEM model established a robust safety evaluation indicator system for comprehensive safety assessment of PB construction. Practical recommendations provide valuable insights for decision-makers to enhance construction efficiency without compromising safety. This study contributed to the conceptual foundation and devised a novel method for evaluating safety performance in PB construction for safer and more efficient practices. This study departed from the traditional method of calculating weights, opting instead for the SEM method to determine the weights of individual risk indicators. Additionally, we leveraged the cloud model to mitigate the influence of subjective factors in analyzing questionnaire survey responses. The feasibility and reliability of our proposed method were rigorously tested and verified by applying it to the PB case. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-10 DOI: 10.1108/ECAM-03-2024-0287 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Pouya Amies, Xiaohua Jin, Sepani Senaratne Abstract: The current research environment lacks a thorough examination of project success in specific domains, particularly in the context of dam project performance. Although there is a significant amount of study and a wide range of project management subjects, there is a clear absence of empirical research on dams. The purpose of this study is to fill in the knowledge gap on how to improve the performance of dam construction projects by focusing on the planning phase. The study utilized a survey to gather the perspectives of professionals involved in dam projects regarding critical success factors and success criteria during the project planning phase. The collected data were then analyzed using exploratory factor analysis and structural equation modeling. Four dimensions were identified for critical success factors: “project team,” “project readiness,” “engagement” and “long-term impact.” For project success criteria, “fulfill identified needs,” “functionality,” “quality performance” and “sustainability” were identified as having significance in measuring project success. The article provides suggestions on how the dam engineering industry can include the identified project elements that are associated with project success. The study's significance stems from its substantial contribution to the limited literature on dam projects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-10 DOI: 10.1108/ECAM-04-2024-0423 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Uğur Kaya, Ozan Önder Özener Abstract: This paper presents an in-depth evaluation of BIM-driven information management in the context of ISO 19650-2. The study aimed to understand and evaluate the existing mechanisms and the recommended activities and tasks of collaborative information management, particularly as the Turkish AEC organizations are currently implementing ISO 19650-2. The study employed a qualitative research design based on information management stages of ISO 19650-2. Semi-structured interviews were conducted with purposefully selected professionals. The framework analyses were made with MAXQDA through conceptual coding to identify current drivers, challenges and incentives for BIM-driven information management. The frequencies of common themes, required tasks and semantic relationships were reported systematically and interpreted to provide a conceptual implementation map, practical insights and actionable recommendations. The study results encompass strategies for establishing new tasks and implementation procedures to uphold business value by aligning information management standards with evolving project requirements, providing detailed and responsive EIRs, early use of CDEs, compliant production methods, clarity of roles and responsibilities, increased organizational capacity and capabilities, sustained planning and production quality and leveraging lessons learned. The study provides evidence-based arguments and strategic insights for BIM-driven information management, focusing on the current implementation compatibilities with ISO 19650-2. Findings and discussions highlight the necessity of industry-wide transformations, reengineered activities/tasks and compliant information flows, which are crucial for adopting ISO 19650-2 and the formulation of national annex documents. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-09 DOI: 10.1108/ECAM-03-2024-0387 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Hong Zhou, Li Zhou, Binwei Gao, Wen Huang, Wenlu Huang, Jian Zuo, Xianbo Zhao Abstract: The number of construction dispute cases has surged in recent years. The effective exploration and management of risks associated with construction contracts helps to directly enhance the overall project performance. The existing approaches to identify the risks associated with construction project contracts have a heavy reliance on manual review techniques, which are inefficient and highly restricted by personnel experience. The existing intelligent approaches only work for the contract query and storage. Hence, it is necessary to improve the intelligence level for contract risk management. This study aims to propose a novel method for the intelligent identification of risks in construction contract clauses based on natural language processing. This proposed method can formalize the linguistic logic and semantic information of contract clauses into multiple triples and transform the structural processing results of general clauses in a construction contract into rights and interests rules for risk review. In addition, the core semantic information of special clauses in a construction contract, rights and interests rules are used for semantic conflict detection. Finally, this study achieves the intelligent risk identification of construction contract clauses. The method is verified by selecting several construction contracts that had been applied in engineering contracting as a corpus. The results showed a high level of accuracy and applicability of the proposed method. This novel method can identify the risks in contract clauses with complex syntactic structures and realize rule extension according to the semantic relation network of the ontology. It can support efficient contract review and assist the decision-making process in contract risk management. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-09 DOI: 10.1108/ECAM-05-2023-0527 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Nazanin Kordestani, Mostafa Babaeian Jelodar, Daniel Paes, Monty Sutrisna, Diyako Rahmani Abstract: The construction industry's transformation of prefabrication into large-scale offsite manufacturing continues to grow. While the Offsite Construction (OSC) transition has brought positive changes to the industry, it also presents various challenges. Literature suggests that to address the challenges, advanced technologies such as Building Information Modeling (BIM) can be applied for effective mitigation. Nonetheless, the combined application of BIM and OSC is in its infancy and faces challenges in many countries. This study aims to investigate the factors influencing OSC and BIM integration, including challenges and strategies within the New Zealand construction industry. This study explores which specific factors impact integration positively or negatively through a comprehensive literature review and confirmatory survey. Factor Analysis (FA) was used as the data analysis method, resulting in eight groups of underlying factors. Next, three Structural Equation Models (SEM) were developed and tested to analyze the impact of latent and observed variables on OSC and BIM integration. Significant underlying factors affecting OSC and BIM integration were identified, and recommendations to enhance integration were provided. Specifically, the findings demonstrated that three underlying factors for challenges, two for strategies and three for integration were identified through EFA and confirmed by CFA. This step was followed by SEM, which employed three different path analysis models for integration variables. It clarified that not all variables have similar impacts on integration; some exhibit significant positive or negative effects, while others are not significant at all. The identified challenges and strategies for OSC and BIM integration and their impact on integration factors can contribute to developing standardized integration guidelines and frameworks to assist stakeholders in focusing on their specific integration goals. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-09 DOI: 10.1108/ECAM-12-2023-1278 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Sally Hassan, Osama Abo Eleinen, Asmaa Hassan, Naglaa Megahed Abstract: The promotion of sustainable design is demanded globally. The life cycle assessment (LCA) proved its reliability in this mission, but the difficulty and time required to apply it discouraged designers. This research aims to integrate LCA into the building design process through a software tool, taking advantage of generative design features. This will facilitate decision-making by architects and construction professionals. The study develops the EGY-LCA (http://egy-lca.com/). This prototype tool suggests exterior wall design alternatives for residential buildings in Egypt, using the environmental impact indicators of LCA data and other criteria related to national codes, materials, construction methods and required thermal resistance. Within a generative design process, the algorithm tests every possible wall method with materials and thickness combinations for each layer in compliance with inputs. The paper begins by explaining the tool’s working method. Afterward, different sets of inputs are examined and the values of the resultant environmental impacts of several suggested wall solutions are statistically analyzed. The application demonstrates the importance of the generative design tool. Proposing several solutions based on a set of inputs facilitates the selection of sustainable choices and allows comparisons between alternatives. The prototype experiment confirms the research hypothesis. Unlike the available LCA tools, architects can make decisions with limited LCA experience if the data and equations are integrated into a generative design tool. The prototype proves its applicability for exterior wall alternatives. The prototype is the initial step toward a whole-building LCA tool. It includes limited LCA stages and materials for the external wall. Future research is required to expand this parametric tool concept to include all the building components. The framework in Section 5 proposes a visualization. The prototype tool: EGY-LCA (http://egy-lca.com/). The value added to the design and construction sectors through the uncomplicated LCA application is fostering sustainable design, generative design tools can achieve this. The novelty of this work is that it is the first initiative offering a parametric LCA tool. It promotes the application of LCA at the design stage using generative design, which contributes to sustainable development. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-08 DOI: 10.1108/ECAM-06-2024-0722 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Qais K. Jahanger Abstract: The US construction industry has been relatively slow to employ digital information technologies. The lack of adoption by project owners is a result of them not having a solid understanding of probable factors (PFs) that could influence the implementation of such systems and potential benefits (PBs) that can serve as key motivators and an assessment instrument. Thus, this article aims to study PBs of digital construction-phase information management (DCIM) systems for project owners and PFs that could influence the implementation of such systems by project owners. Qualitative data collection and analysis methods were followed to conduct the research. The qualitative data (information) regarding PBs and PFs were collected using a survey to subject matter experts and the content analysis method was used to analyze the data. Findings show that almost all the qualitative data regarding PBs of DCIM systems are positive, and these data support 10 of 18 PBs with which they were compared. The qualitative data that is negative does not support one PB. Findings also show that all the qualitative data regarding the PFs are confirmatory, and these data support 14 of 28 PFs with which they were compared. The most supported PB is improvement in the efficiency of documentation within the organization and the most supported PF is upper management support. The primary contribution of this research is in increasing project owners’ understanding of PBs of DCIM systems and PFs that could influence the implementation of such systems. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-08 DOI: 10.1108/ECAM-07-2023-0673 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Mélanie Trottier, Mélanie Lefrançois Abstract: Set in the construction industry, this study aims to better understand managers’ work–family conflict (WFC) and their challenges regarding work–family (WF) issues, and to compare site workers’ and managers’ perceptions of work–family balance (WFB) practices in this male-dominated industry. Using a mixed-method participatory design (qual-QUAN), this study was conducted in Quebec’s (Canada’s) construction industry. Semi-structured interviews with managers (n = 17) and workers (n = 20) were conducted, along with a survey of managers (n = 692) and workers (n = 789). Triangulation of results shows that managers have significantly higher levels of WFC than workers and that the factors contributing to their WFC are similar (e.g. heavy workload, unsupportive organizational culture). The results suggest a discrepancy between workers’ and managers’ perceptions. While managers report offering a wide variety of WF measures, many of which stem from collective agreements, workers report little use of those measures. Results highlight the contrast between availability and accessibility of WF measures in the construction industry and question both managers’ and workers’ possible lack of awareness of WFB measures and practices. These results contribute to the literature by characterizing issues managers themselves face in the construction industry. The study also discusses managers’ support of workers in the context of their own organizational, interpersonal and individual constraints. Finally, this study contributes by paralleling data from managers and workers in the industry regarding WFB measures and policies. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-01 DOI: 10.1108/ECAM-04-2023-0387 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Beatrice Audifasi Nyallu, Xiaopeng Deng, Melckzedeck Michael Mgimba Abstract: Knowledge loss (KL) is still an unfortunate fact, causing many challenges, including poor organisational performance, despite prior efforts to investigate knowledge retention methods. Therefore, this study identifies early approaches to combat KL and poor organisational performance, shifting focus on employee personality traits. Grounded on the social exchange theory (SET) cross-section data from 400 Chinese construction knowledge employees were used to investigate the role of internal work locus of control (IWLC) on job rotation (JR), KL and organisational performance. The data were analysed through IBM SPSS Statistics 25 and SmartPLS 4 software. The results demonstrated that IWLC minimises KL and positively influences JR. Then, JR negatively influences KL and decreases in organisational performance. The negative mediating effect of JR in the relationship between IWLC, KL and decreased organisational performance were also found. Finally, KL proved to positively influence a decrease in organisational performance. This study contributes to the new understanding of individual behaviour and its influence on organisational outcome variables. Specifically, for ultimate KL prevention and organisational performance improvement, an organisation should understand its employees' behaviours to establish progressive collective learning and knowledge sharing. This study contributes to the new understanding of individual behaviour and its influence on organisational outcome variables. Specifically, for ultimate KL prevention and organisational performance improvement, an organisation should understand its employees’ behaviours to establish progressive collective learning and knowledge sharing. This study is the first attempt to explore the influence of personality traits in the early minimisation of KL, particularly the role of IWLC and JR in combating KL and improving organisational performance. Citation: Engineering, Construction and Architectural Management PubDate: 2024-10-01 DOI: 10.1108/ECAM-03-2023-0258 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Gokhan Kazar Abstract: The cash flow from government agencies to contractors, called progress payment, is a critical step in public projects. The delays in progress payments significantly affect the project performance of contractors and lead to conflicts between two parties in the Turkish construction industry. Although some previous studies focused on the issues in internal cash flows (e.g. inflows and outflows) of construction companies, the context of cash flows from public agencies to contractors in public projects is still unclear. Therefore, the primary objective of this study is to develop and test diverse machine learning-based predictive models on the progress payment performance of Turkish public agencies and improve the predictive performance of these models with two different optimization algorithms (e.g. first-order and second-order). In addition, this study explored the attributes that make the most significant contribution to predicting the payment performance of Turkish public agencies. In total, project information of 2,319 building projects tendered by the Turkish public agencies was collected. Six different machine learning algorithms were developed and two different optimization methods were applied to achieve the best machine learning (ML) model for Turkish public agencies' cash flow performance in this study. The current research tested the effectiveness of each optimization algorithm for each ML model developed. In addition, the effect size achieved in the ML models was evaluated and ranked for each attribute, so that it is possible to observe which attributes make significant contributions to predicting the cash flow performance of Turkish public agencies. The results show that the attributes “inflation rate” (F5; 11.2%), “consumer price index” (F6; 10.55%) and “total project duration” (T1; 10.9%) are the most significant factors affecting the progress payment performance of government agencies. While decision tree (DT) shows the best performance among ML models before optimization process, the prediction performance of models support vector machine (SVM) and genetic algorithm (GA) has been significantly improved by Broyden–Fletcher–Goldfarb–Shanno (BFGS)-based Quasi-Newton optimization algorithm by 14.3% and 18.65%, respectively, based on accuracy, AUROC (Area Under the Receiver Operating Characteristics) and F1 values. The most effective ML model can be used and integrated into proactive systems in real Turkish public construction projects, which provides management of cash flow issues from public agencies to contractors and reduces conflicts between two parties. The development and comparison of various predictive ML models on the progress payment performance of Turkish public owners in construction projects will be the first empirical attempt in the body of knowledge. This study has been carried out by using a high number of project information with diverse 27 attributes, which distinguishes this study in the body of knowledge. For the optimization process, a new hyper parameter tuning strategy, the Bayesian technique, was adopted for two different optimization methods. Thus, it is available to find the best predictive model to be integrated into real proactive systems in forecasting the cash flow performance of Turkish public agencies in public works projects. This study will also make novel contributions to the body of knowledge in understanding the key parameters that have a negative impact on the payment progress of public agencies. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-26 DOI: 10.1108/ECAM-06-2024-0706 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Mohamed T. Elnabwy, Diaa Khalaf, Ehab A. Mlybari, Emad Elbeltagi Abstract: In today’s intricate and dynamic construction sector, traditional project management techniques, which view projects in isolation, are no longer sufficient. Project Portfolio Management (PPM) has proven to be an efficient alternative solution for handling multiple construction projects. As such, based on a Machine Learning (ML) approach, this study aims to explore the Critical Success Factors (CSFs) influencing the adoption of PPM, aiming to enhance PPM implementation in construction projects. A questionnaire based on CSFs gathered from prior studies was developed and validated by experts. Afterward, exploratory data analysis is conducted to understand CSF–PPM relationships. Preprocessing techniques ensure uniformity in variable magnitudes. Lastly, ML techniques, namely Linear Discriminant Analysis (LDA), Logistic Regression (LR) and Extra Trees Classifier (ETC) are developed to model and investigate CSFs' impact on PPM adoption. The findings pointed out that the ETC model marginally outperforms other ML models with a classification accuracy of 93%. Also, the project size, utilized PPM tool and resource allocation-related factors are the most significant CSFs that influenced the PPM performance by about 48.5%. This study contributes to the existing body of knowledge by raising awareness among construction companies and other project stakeholders about the pivotal CSFs that must be considered when prioritizing projects and designing an optimal PPM approach. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-25 DOI: 10.1108/ECAM-05-2024-0537 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Eric Ohene, Gabriel Nani, Maxwell Fordjour Antwi-Afari, Amos Darko, Lydia Agyapomaa Addai, Edem Horvey Abstract: Unlocking the potential of Big Data Analytics (BDA) has proven to be a transformative factor for the Architecture, Engineering and Construction (AEC) industry. This has prompted researchers to focus attention on BDA in the AEC industry (BDA-in-AECI) in recent years, leading to a proliferation of relevant research. However, an in-depth exploration of the literature on BDA-in-AECI remains scarce. As a result, this study seeks to systematically explore the state-of-the-art review on BDA-in-AECI and identify research trends and gaps in knowledge to guide future research. This state-of-the-art review was conducted using a mixed-method systematic review. Relevant publications were retrieved from Scopus and then subjected to inclusion and exclusion criteria. A quantitative bibliometric analysis was conducted using VOSviewer software and Gephi to reveal the status quo of research in the domain. A further qualitative analysis was performed on carefully screened articles. Based on this mixed-method systematic review, knowledge gaps were identified and future research agendas of BDA-in-AECI were proposed. The results show that BDA has been adopted to support AEC decision-making, safety and risk assessment, structural health monitoring, damage detection, waste management, project management and facilities management. BDA also plays a major role in achieving construction 4.0 and Industry 4.0. The study further revealed that data mining, cloud computing, predictive analytics, machine learning and artificial intelligence methods, such as deep learning, natural language processing and computer vision, are the key methods used for BDA-in-AECI. Moreover, several data acquisition platforms and technologies were identified, including building information modeling, Internet of Things (IoT), social networking and blockchain. Further studies are needed to examine the synergies between BDA and AI, BDA and Digital twin and BDA and blockchain in the AEC industry. The study contributes to the BDA-in-AECI body of knowledge by providing a comprehensive scope of understanding and revealing areas for future research directions beneficial to the stakeholders in the AEC industry. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-24 DOI: 10.1108/ECAM-01-2024-0144 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Elham Yousefi, Alireza Ahmadian Fard Fini, Santhosh Loganathan Abstract: This study aims to develop a production-oriented approach for optimal mass-customisation of floor panel layouts in cross-laminated timber (CLT) buildings. The study enables meeting building clients’ unique floor plan requirements at an optimal cost and simultaneously enhances manufacturers’ profit by minimising material and manufacturing process waste. The present research uses a hybrid approach consisting of field data collection, mathematical modelling, development of a Genetic Algorithm (GA) and scenario analysis. Field data includes engineered timber production information, design data and building code requirements. The study adopts the Flexible Demand Assignment (FDA) technique to formulate a mathematical model for optimising the design of mass timber buildings and employs GA to identify optimal production solutions. Scenario analysis is performed to validate model outputs. The proposed model successfully determines the load-bearing wall placement and building spans and specifications of floor panels that result in optimal production efficiency and the desired architectural layout. The results indicate that buildings made of a single category of thickness of panels but customised in various lengths to suit building layout are the most profitable scenario for CLT manufacturers and are a cost-effective option for clients. The originality of the present study lies in its mathematical and model-driven approach towards implementing mass customisation in multi-storey buildings. The proposed model has been developed and validated based on a comprehensive set of real-world data and constraints. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-18 DOI: 10.1108/ECAM-10-2023-1064 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ghiwa Assaf, Rayan H. Assaad Abstract: Project bundling is an innovative practice that groups or bundles several infrastructure projects into a single contract. While project bundling has various benefits, agencies are facing some challenges when bundling their projects, including properly assessing the feasibility (or infeasibility) of project delivery methods (PDMs) of interest. More specifically, project owners face the challenge of properly selecting between traditional and alternative PDMs for their bundled projects. Although some research efforts were devoted to providing guidelines in relation to different aspects related to project bundling, no previous study was conducted to help project owners performing PDMs-related feasibility analysis for bundled projects, which differ from normal, singly delivered projects. To fill this knowledge gap, this paper develops a decision-support tool that assists agencies in deciding whether they should select a traditional or alternative PDM (i.e. whether to go with the Design-Bid-Build (DBB) PDM or not) for their bundled projects. An analytical methodology comprised of four main steps was followed in this paper. First, an expert survey was developed and distributed to industry experts to quantify the importance of 25 project bundling objectives. Second, principal component analysis was used to determine the weights for the different project bundling objectives. Third, a series of statistical tests was implemented to identify different feasibility tiers. Fourth, a user-friendly decision-support tool was developed, and its capabilities were demonstrated. The results showed that six tiers exist to classify the feasibility (or infeasibility) of traditional PDMs (i.e. the DBB method) for bundled projects. The research outcomes have also reflected that the following five project bundling objectives contribute the most to making traditional PDMs (i.e. the DBB method) more feasible for bundled projects: (1) Having well-defined design features; (2) Requiring prior knowledge or experience with similar project size and scope; (3) Completing the overall project on schedule; (4) Keeping rate of expenditures within cash flow plan; and (5) Acquiring specific legislative, regulatory and jurisdictional requirements early on. This research adds to the body of knowledge by equipping agencies and project owners with a decision-support system that helps them identify whether traditional or alternative PDMs are more appropriate for the specific objectives of their bundling program(s). By making the right PDM decision, project owners can enhance their bundling practices (especially in relation to the PDM proper selection) and ultimately the performance of their bundled projects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-17 DOI: 10.1108/ECAM-01-2024-0043 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Wei Chen, Mingyu Yu, Yong Wang, Xuteng Lu, Jia Hou Abstract: Urban villages are prevalent informal settlements within Chinese cities, arising from urban expansion. These areas frequently face systematic demolition during urban renewal due to their disorderly layout and outdated appearance. Urban village renovation (UVR) entails balancing diverse interests and navigating complex conflicts, particularly within China’s dual property rights system encompassing urban and rural land. The purpose of this study is to avoid the fierce interest conflict of UVR. This study utilized the theoretical framework of value co-destruction. Initially, text mining and literature analysis were employed to identify concept nodes and interaction relationships. Subsequently, the structural equation model (SEM) was used to verify the causal model. Finally, the fuzzy cognitive map (FCM) was developed to dynamically simulate value co-destruction scenarios within UVR across various hypothetical situations. The concept nodes influencing value co-destruction in UVR form a complex system with multiple levels. This includes three cause nodes and one result node. Among these, actor-to-actor emerges as a primary and underlying cause influencing value co-destruction in these projects. Furthermore, strategies for UVR should prioritize integrated interventions that enhance actor-to-actor relationships. This study introduced a novel mixed methodology aimed at systematically simulating the dynamic process of value co-destruction during UVR. It also provided a fresh perspective on reverse assessment to mitigate the prevalent interest conflicts in UVR, thereby contributing to theoretical advancements and practical strategies for UVR. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-17 DOI: 10.1108/ECAM-04-2024-0411 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Syafizal Shahruddin, Ungku Norani Sonet, Athira Azmi, Nadzirah Zainordin Abstract: The evolution of digital construction within Industrial Revolution 5.0 emphasises the harmonious integration of humans and technology, value-driven technology implementation, adaptive leadership and user-centric design solutions. This shift necessitates architects to enhance their soft skills to navigate the transition effectively. Failure to demonstrate these skills may confine architects to passive roles as technology consumers rather than innovative leaders. While existing research predominantly focuses on the technical aspects of digital construction, this study investigates how architects effectively manifest their soft skills within such dynamic contexts, addressing a critical gap in the current literature. Employing an interpretive phenomenological approach, the research engaged 14 individual architects practicing in architectural consultancy practices (ACPs) in Malaysia through semi-structured interviews and written exercises to unveil their experiences. Thematic analysis revealed six primary themes: “analytical and critical thinking,” “digital communication,” “diversity in leadership styles,” “emotional intelligence,” “ethics and professionalism,” and “curiosity and agility.” Furthermore, the developed thematic map serves as a foundational resource for human resource practices aiming to design upskilling and reskilling programs that focus on nurturing soft skills. Emphasising soft skills, these programs are designed to thrive in the digital construction era and beyond. These shared experiences significantly contribute to the theoretical understanding of soft skills within the digital construction context, providing novel insights into their practical application when addressing real-world implications. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-16 DOI: 10.1108/ECAM-01-2024-0147 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Alireza Arbabi, Roohollah Taherkhani, Ramin Ansari Abstract: With the advancement of technology and more attention to environmental issues, building information modeling (BIM) and green building have become two new and growing trends in the construction industry. Therefore, this study proposes a new strategy that integrates BIM and green building rating assessments with an emphasis on Iran Green Building Rating System (IGBRS). By creating a Revit-IGBRS project template that includes sheets related to all credits, the project compliance with the IGBRS credits and management of submittal documents for certification has been facilitated. Finally, a case study of the materials and resources category of the IGBRS system was performed to validate the BIM-IGBRS application model. All 8 criteria of this category were examined by using Dynamo programming for the Revit sample project. A practical model for BIM and IGBRS integration is presented, which allows designers to be aware of the IGBRS scores obtained before the project’s construction phase and examine different scenarios for the highest scores. Overall, this study showed that integrating BIM and the Iranian rating system is possible with some constraints, and adding some features to BIM software can promote this integration. Given that no study has been conducted on the integration of BIM with the Iran Green Building Rating System (IGBRS), the present research investigates utilizing building information modeling to meet the credits requirements of this rating system. The results of this research can be generalized and used in other green rating systems. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-13 DOI: 10.1108/ECAM-03-2023-0200 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Dohyeong Kim, Jaehun Yang, Doyeop Lee, Dongmin Lee, Farzad Rahimian, Chansik Park Abstract: Computer vision (CV) offers a promising approach to transforming the conventional in-person inspection practices prevalent within the construction industry. However, the reliance on centralized systems in current CV-based inspections introduces a vulnerability to potential data manipulation. Unreliable inspection records make it challenging for safety managers to make timely decisions to ensure safety compliance. To address this issue, this paper proposes a blockchain (BC) and CV-based framework to enhance safety inspections at construction sites. This study adopted a BC-enhanced CV approach. By leveraging CV and BC, safety conditions are automatically identified from site images and can be reliably recorded as safety inspection data through the BC network. Additionally, by using this data, smart contracts coordinate inspection tasks, assign responsibilities and verify safety performance, managing the entire safety inspection process remotely. A case study confirms the framework’s applicability and efficacy in facilitating remote and reliable safety inspections. The proposed framework is envisaged to greatly improve current safety inspection practices and, in doing so, contribute to reduced accidents and injuries in the construction industry. This study provides novel and practical guidance for integrating CV and BC in construction safety inspection. It fulfills an identified need to study how to leverage CV-based inspection results for remotely managing the safety inspection process using BC. This work not only takes a significant step towards data-driven decision-making in the safety inspection process, but also paves the way for future studies aiming to develop tamper-proof data management systems for industrial inspections and audits. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-13 DOI: 10.1108/ECAM-03-2024-0385 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yewei Ouyang, Guoqing Huang, Shiyi He Abstract: There are many safety hazards in construction workplaces, and inattention to the hazards is the main reason why construction workers failed to identify the hazards. Reasonably allocating attention during hazard identification is critical for construction workers’ safety. However, adverse working environments in job sites may undermine workers’ attention. Previous studies failed to investigate the impacts of environmental factors on attention allocation, which hinders taking appropriate measures to eliminate safety incidents when encountering adverse working environments. This study aims to examine the effects of workplace noise and heat exposure on workers’ attention allocation during construction hazard identification to fill the research gap. This study applied an experimental study where a within-subject experiment was designed. Fifteen construction workers were invited to perform hazard identification tasks in panoramic virtual reality. They were exposed to three noise levels (60, 85 and 100 dBA) in four thermal conditions (26°C, 50% RH; 33°C, 50% RH; 30°C, 70% RH; 33°C, 70% RH). Their eye movements were recorded to indicate their attention allocation under each condition. The results show that noise exposure reduced workers’ attention to hazardous areas and the impacts increased with the noise level. Heat exposure also reduced the attention, but it did not increase with the heat stress but with subjects’ thermal discomfort. The attention was impacted more by noise than heat exposure. Noise exposure in the hot climate should be more noteworthy because lower levels of noise would lead to significant changes. These visual characteristics led to poorer identification accuracy. This study could extend the understanding of the relationship between adverse environmental factors and construction safety. Understanding the intrinsic reasons for workers' failed identification may also provide insights for the industry to enhance construction safety under adverse environments. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-13 DOI: 10.1108/ECAM-04-2024-0438 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Qiuhao Xie, Shuibo Zhang, Ying Gao, Jingyan Qi, Zhuo Feng Abstract: Although the literature recognizes that coopetition plays a significant role in the success of international construction joint ventures (ICJVs), the impacts of coopetition on the performance outcomes of ICJVs remain largely unknown. This study extends this line of research by theorizing coopetition from three dimensions, i.e. coopetition intensity, coopetition balance and coopetition structure, and examining the relationships between coopetition and ICJV performance outcomes from both the contingency and configuration perspectives. The hypotheses were tested using survey data from a sample of 188 ICJVs. Structural equation modelling was employed for the contingency approach to estimate the relationships between the three dimensions of coopetition and performance. For the configuration approach, cluster analysis was utilized to identify coopetition patterns. Subsequently, an analysis of variance was employed to analyse the relationships between these coopetition patterns and performance. The contingency results indicate that while coopetition intensity is positively related to all types of performance, coopetition balance is only positively related to project performance and partner performance. Moreover, coopetition structure is only related to partner performance and socioenvironmental performance. The configuration approach identifies six patterns of coopetition, manifesting different levels of project, partner and socioenvironmental performance. These findings, therefore, contribute to the ICJV literature by extending the understanding of how coopetition dimensions individually and jointly influence ICJV performance. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-13 DOI: 10.1108/ECAM-07-2023-0713 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Shitao Jin Abstract: Architectural programming, as a critical phase in construction projects, has been widely recognized for its importance and advantages throughout the construction process. With the rapid development of the socioeconomic landscape, architectural programming has garnered increasing attention from various other disciplines, becoming a key trend in interdisciplinary collaboration. This study aims to provide a comprehensive understanding of the current status and future directions of architectural programming from an interdisciplinary perspective through scientometric analysis and systematic review. This study first collected English journal articles on architectural programming published between 1975 and 2024 from the Web of Science and Scopus databases. After an initial screening of titles and abstracts, 515 articles were selected for scientometric analysis to reveal the current state and advantages of architectural programming research in multidisciplinary fields. Subsequently, a second screening of full-text articles identified 75 journal articles for systematic review, focusing on research topics and challenges in interdisciplinary applications. The study reveals an exponential increase in the number of papers related to architectural programming between 1975 and 2024, particularly in the last decade. Six key research topics of architectural programming in multidisciplinary fields were identified: (1) performance optimization and evaluation, (2) digitalization and automation development, (3) project management and decision support, (4) improvement of human and social welfare, (5) sustainable resources and environment and (6) educational practices of architectural programming. Additionally, the study identified the main challenges in the interdisciplinary application of architectural programming, including (1) incompatibility among disciplines, (2) limitations of data and methodologies and (3) insufficient social engagement. To address these challenges, three potential future directions were proposed: (1) establishing interdisciplinary teams and platforms, (2) enhancing multi-source data integration and digital transformation and (3) improving governance mechanisms and educational training. By combining quantitative and qualitative methods, this study provides a comprehensive review of architectural programming research and applications in multidisciplinary fields, offering theoretical foundations and practical references for the future development of architectural programming. This review not only aids in understanding the overall status of current architectural programming research but also offers valuable insights and recommendations for future research directions and practical applications. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-10 DOI: 10.1108/ECAM-04-2024-0408 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Buse Un, Ercan Erdis, Serkan Aydınlı, Olcay Genc, Ozge Alboga Abstract: This study aims to develop a predictive model using machine learning techniques to forecast construction dispute outcomes, thereby minimizing economic and social losses and promoting amicable settlements between parties. This study develops a novel conceptual model incorporating project characteristics, root causes, and underlying causes to predict construction dispute outcomes. Utilizing a dataset of arbitration cases in Türkiye, the model was tested using five machine learning algorithms namely Logistic Regression, Support Vector Machines, Decision Trees, K-Nearest Neighbors, and Random Forest in a Python environment. The performance of each algorithm was evaluated to identify the most accurate predictive model. The analysis revealed that the Support Vector Machine algorithm achieved the highest prediction accuracy at 71.65%. Twelve significant variables were identified for the best model namely, work type, root causes, delays from a contractor, extension of time, different site conditions, poorly written contracts, unit price determination, penalties, price adjustment, acceptances, delay of schedule, and extra payment claims. The study’s results surpass some existing models in the literature, highlighting the model’s robustness and practical applicability in forecasting construction dispute outcomes. This study is unique in its consideration of various contract, dispute, and project attributes to predict construction dispute outcomes using machine learning techniques. It uses a fact-based dataset of arbitration cases from Türkiye, providing a robust and practical predictive model applicable across different regions and project types. It advances the literature by comparing multiple machine learning algorithms to achieve the highest prediction accuracy and offering a comprehensive tool for proactive dispute management. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-10 DOI: 10.1108/ECAM-05-2023-0510 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Minh Van Nguyen, Le Dinh Thuc, Tu Thanh Nguyen Abstract: This study aims to investigate the influence of external factors identified by the Political, Economic, Social, Technological, Environmental and Legal (PESTEL) framework on corporate social responsibility (CSR) performance in Vietnamese construction firms. The snowball sampling method was employed to gather 182 validated responses. Employing Partial Least Squares Structural Equation Modeling (PLS-SEM), the research analyzed how these factors correlate with CSR practices under institutional theory. Results indicated that social, economic, environmental, legal and technological factors positively impacted CSR performance. Among these, social factors had the most significant effect, followed sequentially by economic, environmental, legal and technological influences. Intriguingly, political factors demonstrated no significant association with CSR performance. The strong impact of social factors confirms that societal norms and cultural values are critical in shaping corporate behavior in Vietnam. Firms can leverage this insight by intensifying their community engagement and social investment. Additionally, the negligible role of political factors in shaping CSR suggests that firms might not need to focus heavily on political engagement in Vietnam. However, firms should remain aware of legal changes as legal factors influence CSR outcomes. Despite CSR’s growing importance, there remains a notable research gap regarding how external macro-environmental factors influence CSR performance, particularly within the construction industry. The findings emphasize the importance of aligning business strategies with socioeconomic and environmental aspects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-10 DOI: 10.1108/ECAM-05-2024-0575 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Shang Zhang, Jinpeng Wang, Yongjian Ke, Nan Li, Zhenwen Su Abstract: Turnover intention is a critical predictor of an employee’s turnover behaviour. A high level of turnover rate significantly affects the productivity and morale of an enterprise. Previous research has indicated that job satisfaction plays a critical role in influencing an employee's turnover intention, but the underlying factors related to job satisfaction remain under-explored, which impedes the development of effective strategies for reducing turnover intention. In addition, little research examined job satisfaction and turnover intention in the context of the COVID-19 pandemic, specifically in the Chinese construction industry. This study aims to investigate the impact of job satisfaction on turnover intention among professionals in the construction industry. A questionnaire survey was employed to collect viewpoints from 449 professionals in the Chinese construction industry, followed by descriptive analysis, correlation analysis and structural equation modelling analysis to derive results. The findings indicate that professionals in the industry generally have a slightly high level of job satisfaction while a slightly low level of turnover intention in the special period of the pandemic outbreak. Leadership and management, training and career development and interpersonal relationships are critical underlying factors leading to their turnover intention. Although demographic factors have no moderating effect between job satisfaction and turnover intention, among them, age, marital status and years of working experience have strongly positive relationships with job satisfaction while significantly negative relationships with turnover intention. The findings provide valuable insights to fully understand the critical factors leading to turnover intention from the perspective of job satisfaction, which is helpful in developing effective measures to address the turnover problems for enterprises in the Chinese construction industry and those industries with similar characteristics in other regions. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-10 DOI: 10.1108/ECAM-11-2023-1179 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Minh Van Nguyen, Khanh Duy Ha, Chien Thanh Phan Abstract: Reconstruction of old buildings is often necessary after prolonged usage, but these projects encounter various complexities, leading to their failure. However, there is a lack of studies that focus on investigating the complexity of old building reconstruction initiatives. Thus, this study aims to examine the complexity of reconstruction projects for old buildings in Vietnamese urban areas. Through a literature review and discussions with experienced practitioners, 12 significant complexity factors were identified. The study then utilized the fuzzy decision-making trial and evaluation laboratory (DEMATEL) technique to analyze the interrelationships among these complexity factors. The findings revealed intricate interdependencies among the complexity factors, visualized in a complexity map. The map highlighted the critical complexities of site compensation, clearance and the long project duration. Furthermore, a causal diagram categorized the complexity factors into net-effect and net-cause groups. By examining the relationships and interactions among these factors, the study emphasizes the interconnected nature of complex systems and the influence of one factor on others. Therefore, decision-makers and stakeholders involved in reconstructing old buildings are suggested to possess a comprehensive understanding of these interdependencies to ensure effective decision-making. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-05 DOI: 10.1108/ECAM-03-2024-0300 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Layin Wang, Meng Zhang, Jing Liu Abstract: Under the rural revitalization, the effect of China's implementation of rural prefabricated housing is not obvious. Cost has become the biggest obstacle to its development. Therefore, it is necessary to study the factors influencing the cost of prefabricated buildings in villages and clarify the focus of cost control. This paper focuses on the whole process of prefabricated housing construction in villages in China and uses grounded theory to identify and screen out 27 related factors that affect the construction cost of prefabricated buildings. A system dynamics model is used to dynamically analyze the influencing factors. The engineering examples in rural areas of southern Shaanxi are simulated. Finally, five key factors that influence cost are obtained. Based on this, cost control countermeasures are proposed for rural prefabricated housing in southern Shaanxi. The results show that: the key factors affecting the cost of prefabricated buildings in villages include the selection of production methods, the degree of design standardization, the quality of construction personnel, the level of construction technology and the circulation cycle of molds. The cost of prefabricated housing in villages can be controlled through five aspects: mass production of components, design exchange and feasibility analysis, improvement of employee professionalism, strict selection of construction schemes and technologies and improvement of mold turnover rate. The system dynamics model applied in this paper is based on the idealized state. The system boundary is narrow and has a certain subjectivity. It needs further detailed research to make it closer to the engineering practice. In addition, this paper applies the rural engineering example in southern Shaanxi to carry out a single case study, and the universality of the research results needs to be further tested. There are many village construction projects and building types, so the research results can be further enriched through large sample research. Rural construction is an important step in the implementation of rural revitalization. Exploring the factors that affect the key costs of prefabricated buildings in villages and towns in view of the particularity of rural areas will help provide a reference for their cost control and help the rural development of prefabricated houses. The research results of this paper can provide a reference for the development of prefabricated buildings in other rural revitalization areas. Different from the traditional research on urban prefabricated buildings, this paper focuses on rural areas and explores the core factors affecting the cost of prefabricated buildings from the micro level. This study establishes a system dynamics model suitable for the cost control of prefabricated housing at the village level and provides methods for its cost control. Based on the identified key factors affecting costs, cost control measures were proposed for prefabricated housing tailored to the unique characteristics of villages. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-04 DOI: 10.1108/ECAM-03-2024-0326 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yi-Hsin Lin, Zixuan Huang, Yuqing Gao Abstract: This study investigates the influence of market and hierarchy organizational cultures on international project performance and examines the mediating role of relational capital. In-depth interviews and a cross-sectional questionnaire survey were conducted to collect primary data within international projects. Hierarchical regression analysis was used to test the hypotheses based on data collected from 62 respondents. The results reveal that both market and hierarchy cultures affect international project performance positively. Additionally, communication, cooperation and trust help enhance project performance; however, commitment is not. This study also proves the mediating role of relational capital between organizational culture and project performance. This study selected only two types of organizational culture represented by Chinese construction enterprises. Future studies can explore the mediating role of relational capital between other varieties of organizational culture and project performance. Given the high complexity and risks faced by projects abroad, both organizational culture, the internal environmental factor and relational capital being the external resource, are crucial for project success. This study clarifies the relationship between organizational culture, relational capital and project performance overseas. Empirical evidence to enhance international project performance for construction enterprises is provided. This study also makes contributions to international contractors who want to implement projects in developing countries. Citation: Engineering, Construction and Architectural Management PubDate: 2024-09-04 DOI: 10.1108/ECAM-10-2023-1068 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Buddhini Ginigaddara, Mahmoud Ershadi, Marcus Jefferies, Srinath Perera Abstract: Recent research advocates that there are plenty of opportunities for key players in the offsite construction (OSC) sector to harness the full potential of advanced project management techniques. While previous research mainly focuses on transformations related to digital and advanced technologies driven by industry 4.0 principles, a research gap still exists on the intersection of project management capabilities and OSC. This study attempts to bridge this gap by capturing the homogeneity of different capabilities and integrating them into an overarching framework. A scientometric analysis is conducted to provide an overview of the co-occurrence network of keywords in the representative studies. A systematic literature review (SLR) of articles published between 2010 and 2022, followed by a subsequent full-text examination of 63 selected articles, revealed 34 interrelated capabilities to be categorised under three exhaustive planning-oriented, design-oriented and delivery-oriented groups. This review revealed an upward trend of publication on project management capabilities for OSC with a specific interest in optimisation of resources allocated to offsite operations. The top five capabilities discussed more frequently in the literature include (1) artificial intelligence for design error detection, (2) enhanced resource productivity, (3) cost saving in offsite production, (4) real-time traceability of modules and (5) applying lean agile production principles to OSC, which imply the critical role of quality, cost saving, traceability and agility in OSC. This study elicits core capabilities and develops a new offsite project management framework for the first time. The authors provide directions for researchers and practitioners to apply capabilities for obtaining better outcomes and higher value out of offsite operations. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-30 DOI: 10.1108/ECAM-03-2023-0203 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Fei Kang, Yifei Shi, Jiyu Li, Han Zhang Abstract: Despite the increasing importance of boundary-spanning behaviors in construction projects, the research on how leader anger expressions impact employees’ boundary-spanning behaviors remains unclear. This study aims to investigate the impact of leader anger expressions on employees’ boundary-spanning behaviors in construction projects while exploring the mediating effect of work hope and the moderating effect of power distance orientation through the lens of social information processing theory. The empirical data were collected from a questionnaire survey of 235 employees in construction projects, and the hypotheses were tested using the PROCESS program developed by Hayes. This study demonstrated that leader anger expressions negatively affect employees’ work hope, and work hope mediates the relationship between leader anger expressions and employees’ boundary-spanning behaviors. Besides, the stronger the employees’ power distance orientation, the stronger the negative relationship between leader anger expressions and employees’ work hope, and the above mediating effect was also stronger. The use of cross-sectional data was unable to entirely infer a causal relationship between leader anger expressions and employees’ boundary-spanning behaviors. Additionally, the reliance on self-reported data inevitably introduced some common method bias. Applying social information processing theory, this paper enriches the discourse on factors influencing employees’ boundary-spanning behaviors in construction projects. It also offers valuable insights for leaders in construction projects to manage their teams effectively. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-30 DOI: 10.1108/ECAM-04-2024-0407 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Zhixiu Wang, Kunhui Ye Abstract: Construction enterprises increase their competitive advantage by joining the project ecosystem, but the dual nature of the enterprise’s niche has attracted attention, and existing research has gaps in understanding niche and ecosystem governance issues. This study aims to promote ecosystem compliance governance by exploring the impact of the niche of the key role of construction enterprises on compliance behavior. First, the study proposes a model on the impact of the enterprise's niche on its compliance behavior and the mediating role of the enterprise's perception of sanctions and the moderating role of a shared vision for compliance of ecological partners within these relationships. Second, we used 205 samples, who were Chinese contractors with international construction project experience through a questionnaire survey. Third, the study conducted a hierarchical regression to test the hypothesis. The results show that construction enterprises with a wider niche or with a higher degree of niche overlap are more inclined to performance compliance. Enterprises' perception of sanctions plays a part in mediating the enterprise's niche and compliance behavior. The relationship between enterprises' perception of sanctions and compliance behavior can be moderated by the shared vision for compliance of ecological partners. Given a low compliance shared vision of ecological partners, the impact of enterprise perception of sanctions on compliance behavior is positively stronger. The findings provide valuable evidence upon which ecosystem governance needs to focus and leverage the role of key members, using the advantageous resources of key members as a fulcrum to leverage a larger governance scope. Construction enterprises should keep improving their niche and the shared vision for partners' compliance to promote the evolution and upgrading of cooperation to an ecosystem model that creates greater value. This study provides new insights for future compliance governance in the project ecosystem by introducing the concept of niche and answering whether construction enterprises with a higher niche in the project ecosystem are more willing to implement compliance behavior. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-30 DOI: 10.1108/ECAM-09-2023-0941 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Lu Yiling, Qinghua He, Ge Wang, Xiaopeng Deng, Jingxiao Zhang Abstract: Given the heavy pollution feature of the construction industry, construction corporations need to adopt an effective environmental governance strategy. The quality and quantity of environmental information disclosure (EID) implementation, as an essential part of a corporate environmental governance strategy, is impacted by the characteristics of the top management team (TMT). This paper aims to analyze the relationship between the demographic characteristics of the TMT (i.e. gender, age, tenure, educational level, and duality) and corporate EID. Using data from listed construction corporations generated between 2014 to 2018 in China, this study employs the Tobit regression model to test the research hypotheses. Also, this study applies a novel analytical approach, necessary condition analysis (NCA), to conduct a series of additional tests. The results reveal that tenure and educational level are significantly and positively related to EID, while gender, age, and duality in the executive role are not significantly related to EID. When considering the TMT size as a moderator, the TMT age is positively related to the corporate EID, and the size of the TMT acts as a moderator to weaken the positive effect of the TMT age on the EID. The NCA results show that TMT gender, age, tenure, and educational level are necessary when the levels of EID exceed 40%. Our findings suggest that TMT characteristics have a relatively significant effect on corporate EID levels, which extends EID research to the construction industry. Corporate planners can endeavor to shape TMT characteristics to improve EID levels. The results of NCA provide insights into what TMT characteristics construction corporations need to satisfy in their pursuit of transparent EID, as well as the levels at which these characteristics are desired. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-28 DOI: 10.1108/ECAM-12-2023-1240 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Harun Turkoglu, Emel Sadikoglu, Sevilay Demirkesen, Atilla Damci, Serra Acar Abstract: The successful completion of linear infrastructure construction projects such as railroads, roads, tunnels, and pipelines relies heavily on decision-making processes during planning phase. Professionals in the construction industry emphasize that determining the starting point of a linear infrastructure construction project is one of the most important decisions to be made in the planning phase. However, the existing literature does not specifically focus on selection of the starting point of the segments to be constructed. Therefore, it is of utmost importance to develop a multi-criteria decision-making (MCDM) model to support selection of the starting point of the segments to be constructed in linear infrastructure construction projects. Based on the characteristics of the railroad projects and insights gathered from expert interviews, the appropriate criteria for the model were determined. Once the criteria were determined, a decision hierarchy was developed and the weights of the criteria (w_i) were calculated using DEcision MAking Trial and Evaluation Laboratory (DEMATEL) method. Then, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), COmplex PRoportional Assessment (COPRAS), and evaluation based on distance from average solution (EDAS) methods were used. The alternatives were ranked in terms of their priority with TOPSIS method based on relative closeness (Ci) of each alternative to the ideal solution, COPRAS method based on quantitative utility (Ui) for each alternative and EDAS method based on evaluation score (ASi) for all alternatives. The results were compared with each other. The study reveals the effects of all criteria on the proposed model. The results of DEMATEL method indicated that quantity of aggregate (w_i = 0.075), ballast (w_i = 0.071), and sub-ballast (w_i = 0.069) are the most important criteria in starting location selection for railroads, where earthquake (w_i = 0.046), excavation cost (w_i = 0.054), and longest distance from borrow pit (w_i = 0.055) were found to be less important criteria. The starting location alternatives were ranked based on TOPSIS, COPRAS and EDAS methods. The A-1 alternative was selected as the most appropriate alternative (Ci = 0.64; Ui = 100%; ASi = 0.81), followed by A-6 alternative (Ci = 0.61; Ui = 97%; ASi = 0.73) and A-7 alternative (Ci = 0.59; Ui = 94%; ASi = 0.60). Even tough different methods were used, they provided compatible results where the same ranking was achieved except three alternatives. This study identifies novel criteria for the starting location selection of railroad construction based on the data of a railroad project. This study uses different methods for selecting the starting location. Considering the project type and its scope, the model can be used by decision-makers in linear infrastructure projects for which efficient planning and effective location selection are critical for successful operations. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-27 DOI: 10.1108/ECAM-06-2024-0764 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Wenyao Liu, Qingfeng Meng, Zhen Li, Heap-Yih Chong, Keyao Li, Hui Tang Abstract: Construction workers’ safety behavior has been proven to be crucial in preventing occupational injuries and improving workplace safety, and organizational safety support provides essential resources to promote such behavior. However, the specific mechanisms of how organizational safety support affects safety behavior have not been thoroughly explored. Therefore, this study explored the relationship between workers’ perceived organizational safety support (perceived supervisor/coworker safety support) and safety behavior (safety task/contextual behavior), while considering the mediating effects of safety motivation, emotional exhaustion, and the moderating effect of psychosocial safety climate. Based on the quantitative research method, the hypothesis was tested. The data were collected from 500 construction workers using a structured questionnaire. Observed variables were tested using confirmatory factor analysis, and the path coefficient of fitted model was then analyzed including the associated mediating and moderating effects. The study found that (1) safety support from both supervisors and coworkers directly forecasted both types of safety behavior, (2) safety motivation was primarily predicted by perceived supervisor safety support, and perceived coworker safety support better predicted emotional exhaustion. Safety motivation mediated the relationship between perceived supervisor safety support and safety contextual behavior, and emotional exhaustion mediated the relationship between both types of safety support and both types of safety behavior, (3) psychosocial safety climate moderated the pathway relationships mediated by safety motivation and emotional exhaustion, respectively. The samples of this study were mostly immersed in eastern culture and the construction industry, and the cultural and industry diversity of the samples deserves further consideration to enhance the universality of the results. The cross-sectional approach may have some impact on the accuracy of the results. In addition, other potential mediating variables deserve to be explored in future studies. This study provides a new basis for extending current theoretical frameworks of organizational safety support and safety behavior by using a moderated mediation model. Some practical insights on construction safety management have also been proposed based on the research findings. It is recommended that practitioners should further raise awareness of the critical role of supervisor-worker and worker-coworker relationships, as high levels of safety support from the supervisor/worker respectively effectively encourage safety motivation, alleviate emotional exhaustion, and thus improve workers’ safety performance. Meanwhile, the psychosocial health conditions of workers should also receive further attention. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-26 DOI: 10.1108/ECAM-02-2024-0182 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Frank Ato Ghansah, Weisheng Lu Abstract: This study aims to identify and examine the critical resultant impacts of the coronavirus (COVID-19) pandemic on quality assurance (QA) of cross-border construction logistics and supply chain (CB-CLSC). This is achieved via embedded mixed-method design pragmatically involving desk literature review, survey and interviews from related experts within the Hong Kong Special Administrative Region (SAR)–Mainland China links. The design is further integrated with descriptive analysis, criticality test, rank agreement analysis, spearman correlation test and sentiment analysis. The study revealed 10 critical resultant impacts of the COVID-19 pandemic on the QA of CB-CLSC, with the top three including “increased use of digital technologies (M10)”, “worker absence, labour shortage and decrease in work rate (M3)” and “changes to how construction sites operate (M9)”. Three underlying dimensions were discovered among all the critical resultant impacts: “cost-time-worker (CTW)-related impacts”, “work contract and operation (WCO)-related impacts” and “work process (WP)-related impacts”. The critical resultant impacts are reflected in the time, cost, raw materials and work processes, and this could manifest as negative as well as an opportunity to position the QA system to be adequate during the pandemic and post-pandemic era. The study contributes to the knowledge body as it identifies and examines the critical resultant impacts of the COVID-19 pandemic on the QA of CB-CLSC. This is original research with invaluable primary data collected in the form of surveys and interviews from construction quality experts within the Hong Kong (SAR)–Mainland China links, known as the world’s factory. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-23 DOI: 10.1108/ECAM-02-2024-0196 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Amirreza Rashidi, Hadi Sarvari, Daniel W.M. Chan, Timothy O. Olawumi, David J. Edwards Abstract: This study provides a comprehensive analysis of the transition from Building Information Modelling (BIM) to digital twins (DT) in the construction industry. Specifically, the research explores the current state (themes and trends) and future directions of this emerging research domain. A multi-stage approach was employed that combines scientometric and systematic review approaches. The scientometric analysis involves quantitative assessment of scientific publications retrieved from the Web of Science database – using software tools like VOSviewer and HistCite. The systematic review involved a rigorous synthesis and evaluation of the existing literature to identify research gaps, themes, clusters and future directions. Clusters obtained from the scientometric analysis of the co-occurrence network were then used as a subject base for a systematic study. Emergent findings reveal a rapidly growing interest in BIM-DT integration, with over 90% of publications since 2020. The United Kingdom, China and Italy are the leading contributing countries. Five prominent research clusters identified are: (1) Construction 4.0 technologies; (2) smart cities and urban environments; (3) heritage BIM and laser scanning; (4) asset and facility management; and (5) energy and sustainability. The study highlights the potential of BIM-DT integration for enhancing project delivery, asset management and sustainability practices in the built environment. Moreover, the project’s life cycle operation phase has garnered the most attention from researchers in this field compared to other phases. This unique study is comprehensive in its approach by combining scientometric and systematic methods to provide a quantitative and qualitative evaluation of the BIM-DT research landscape. Unlike previous reviews that focused solely on facility management, this study’s scope covers the entire construction sector. By identifying research gaps, challenges and future directions, this study establishes a solid foundation for researchers exploring this emerging field and envisions the future landscape of BIM-DT integration in the built environment. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-23 DOI: 10.1108/ECAM-02-2024-0239 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Muhammad T. Hatamleh, Ammar Alzarrad, Abdullah Alghossoon, Mohammad Alhusban, Olugbenro Ogunrinde Abstract: Project information is widely and thoroughly exchanged within construction projects. However, the risk management process exhibits deficiencies in coordination and visibility, particularly in developing countries. Practitioners in developing countries often engage in Project Risk Management (PRiM) using practices that inadvertently hinder project success, frequently resulting in suboptimal outcomes. Therefore, this research explores practices within Project Integration Management (PIM) and Project Communication Management (PCmM) that could enhance PRiM and improve managerial proficiency to achieve project success in developing countries. The PIM, PCmM and PRiM processes were explored from the literature; the data was gathered initially by close-ended interviews conducted with a panel of twelve experts followed by a well-structured questionnaire. Structural Equation Modeling (SEM) was employed via AMOS to analyze the data and construct a model representing the intricate relationships between the processes. Additionally, the validity and reliability of the method were inspected. The data analysis confirmed that PIM and PCmM were correlated according to contractors and consultants in the Jordanian construction industry. Furthermore, both have a positive influence on the PRiM. In addition, a 13-step process was developed to apply extra processes and practices to ensure better implementation of the PRiM in developing countries. The literature highlights that integration and communication management influence project performance. However, there is a lack of research utilizing practices from these knowledge areas to achieve better project risk management implementation. This research highlights two of the most underrated knowledge areas in project management. Therefore, a framework was devised, comprising processes that practitioners should take into account during the planning phase leading to efficient PRiM to enhance their managerial proficiency. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-23 DOI: 10.1108/ECAM-05-2024-0536 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Chunmei Wang, Sujuan Zhang Abstract: The sustainable development of contractor organizations depends highly on bidding decision-making of projects. This current study, leveraging the risk decision-making theory, attempts to elucidate the process of contractors’ bid/no-bid decision-making and reveal how the process is influenced by their perception of risk. In particular, this study aims to explore the multiple mediating effects of contractors’ trust in owners and risk perception in explaining the relationship between contractual governance outlined in owners’ bidding documents and the bid/no-bid decisions. A questionnaire survey was used to obtain data from the Chinese construction industry. The PLS-SEM technique was employed to analyze a dataset of 557 available questionnaires. The findings indicate that (1) the contractual governance provided by owners’ bidding documents positively impacts contractors’ bid/no-bid decisions; (2) both risk perception and trust serve as multiple mediators in this relationship and (3) trust mediates the relationship between contractual governance and contractors’ risk perception. Drawing upon the risk decision-making theory, this study proposes a multiple mediation model for understanding contractors’ bid/no-bid decision-making processes. It contributes to a better understanding of contractors’ bidding decision-making mechanisms, thereby offering theoretical guidance for contractors to make reasonable and informed risk decisions. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-23 DOI: 10.1108/ECAM-10-2023-1015 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Zhenshuang Wang, Tingyu Hu, Jingkuang Liu, Bo Xia, Nicholas Chileshe Abstract: The sensitivity and fragility of the construction industry’s economic system make the economic resilience of the construction industry (ERCI) a key concern for stakeholders and decision-makers. This study aims to measure the ERCI, identify the heterogeneity and spatial differences in ERCI, and provide scientific guidance and improvement paths for the industry. It provides a foundation for the implementation of resilience policies in the construction industry of developing countries in the future. The comprehensive index method, Theil index method, standard deviation ellipse method and geographic detector model are used to investigate the spatial differences, spatiotemporal evolution characteristics and the influencing factors of the ERCI from 2005 to 2020 in China. The ERCI was “high in the east and low in the west”, and Jiangsu has the highest value with 0.64. The Theil index of ERCI shows a wave downward pattern, with significant spatial heterogeneity. The overall difference in ERCI is mainly caused by regional differences, with the contribution rates being higher by more than 70%. Besides, the difference between different regions is increasing. The ERCI was centered in Henan Province, showing a clustering trend in the “northeast-southwest” direction, with weakened spatial polarization and a shrinking distribution range. The market size, input level of construction industry factors, industrial scale and economic scale are the main factors influencing economic resilience. The interaction between each influencing factor exhibits an enhanced relationship, including non-linear enhancement and dual-factor enhancement, with no weakening or independent relationship. Exploring the spatial differences and driving factors of the ERCI in China, which can provide crucial insights and references for stakeholders, authorities and decision-makers in similar construction economic growth leading to the economic growth of the national economy context areas and countries. The construction industry development is the main engine for the national economy growth of most developing countries. This study establishes a comprehensive evaluation index on the resilience measurement and analyzes the spatial effects, regional heterogeneity and driving factors on ERCI in the largest developing country from a dynamic perspective. Moreover, it explores the multi-factor interaction mechanism in the formation process of ERCI, provides a theoretical basis and empirical support for promoting the healthy development of the construction industry economy and optimizes ways to enhance and improve the level of ERCI. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-22 DOI: 10.1108/ECAM-01-2024-0021 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Neda Kiani Mavi, Kerry Brown, Richard Glenn Fulford, Mark Goh Abstract: Evaluating project success within the construction industry presents challenges due to the unique characteristics of the sector, the complexity of projects, and the involvement of diverse stakeholders. Conducting a bibliometric analysis, this paper aims to unravel the major research themes and methodologies utilised by researchers in studying the critical success criteria for construction projects, as well as extracting these success criteria. The researchers systematically searched and screened 95 papers from Scopus and Web of Science (WoS) databases. This study conducted research focus parallelship network (RFPN) analysis and keywords co-occurrence network (KCON) analysis using BibExcel and Gephi to cluster the papers, illuminate the relationships among keywords within each cluster, and identify the primary research directions. Using the RFPN analysis, this study classified the papers into three distinct clusters: infrastructure and public projects success, risk and knowledge management, and contractors and procurement management. Statistical techniques such as structural equation modelling (SEM) and multi-criteria decision-making methods such as analytic hierarchy process (AHP) have been used to analyse project success in the construction industry. Considering the intensified demand for streamlined digital interactions and the increasing emphasis on sustainability and safety performance, construction companies are recommended to allocate greater investments toward the automation and digitisation of their products and processes. Prioritising modular construction and embracing transformative technologies alongside data science is crucial for enabling well-informed decision-making, and enhancing project success. This study contributes to the existing body of knowledge by conducting a quantitative and systematic evaluation of the literature on project success criteria in the construction industry and uncovering key research areas. It addresses the pressing need to understand the complexities of construction projects amidst evolving industry dynamics and emerging disruptions. Moreover, by highlighting the implications of digital innovations and modular construction, this study urges deeper exploration into their impact on project performance and stakeholder satisfaction. This research sets a comprehensive framework for investigating the interplay between project complexity, technological advancements, and sustainable practices in the construction sector, paving the way for strategic advancements in the field. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-21 DOI: 10.1108/ECAM-11-2023-1156 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yuyang Liu, Mingzhu Heng, Caiwen Hu, Huiling Zhang, Zixuan Wang, Guofeng Ma Abstract: The construction of smart cities holds the potential to drive digital innovation in the construction industry through various means, such as enhancing supply and demand. This study echoes the urgent need for the construction industry to overcome development challenges. Hence, it is necessary to study the extent and ways in which smart city policies promote digital innovation in the construction industry. This study treats China’s smart city policies as quasi-natural experiments. Using a dataset of Chinese prefecture-level cities from 2007 to 2021 and a difference-in-differences model, the study scrutinizes the impact of smart city policies on digital innovation within the construction industry. The study reveals a substantial positive influence of smart city policies on digital innovation in the construction industry. In addition, the study explains these results by analysing supply-side and demand-side mechanisms. Moreover, the effect of smart city pilot policies on promoting digital innovation within the construction industry displays noteworthy heterogeneity across cities at different regional and political levels. By exploring the impact and mechanisms of smart city policies on digital innovation in the construction industry, this research contributes to a more comprehensive and profound comprehension of the role of policies in facilitating the digital transformation of the construction sector. It is a valuable reference for policymakers and industry practitioners aiming to advance digital development. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-20 DOI: 10.1108/ECAM-01-2024-0061 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Minh Van Nguyen Abstract: Sustainable building materials (SBMs) have recently been promoted to foster sustainable construction. While previous studies successfully presented the broad picture of SBM adoption, the question ‘What is the current state of SBM adoption in construction firms'’ was unanswered. Moreover, there is a lack of studies that investigate the impact of firm size on the adoption of SBMs. Therefore, this study aims to examine the level of readiness for SBM adoption in construction firms of different sizes. Drawing on theoretical lenses and a review of previous studies, the study identified 20 factors affecting the readiness for SBM adoption. These factors were then grouped into market, organization, and employee readiness. Using the questionnaire survey, 229 valid responses were collected. The multiple pairwise comparison test showed significant differences in readiness for SBM adoption in firms of different sizes. The Fuzzy Synthetic Evaluation (FSE) analysis was then used to assess the level of readiness for SBM adoption in construction firms of different sizes. The analysis of FSE showed that large-sized companies demonstrated the highest level of readiness for SBM adoption, followed by medium-sized and small-sized firms, respectively. These findings imply that larger construction firms may have more resources and organizational capacity to adopt SBMs. Conversely, smaller firms may require additional support or incentives to enhance their readiness for SBM adoption. It also highlights the need for targeted interventions and policies to promote SBM adoption across medium-sized and small-sized firms. Moreover, while market readiness emerged as the least critical category, the findings highlight the pivotal role of employee readiness across all firm sizes. These findings underscore the importance of prioritizing employee readiness initiatives to facilitate the successful adoption of SBMs. Policymakers and industry stakeholders may need to focus on developing training programs and awareness campaigns tailored to employees, ensuring they are equipped with the necessary knowledge and skills. Moreover, strategies to enhance market readiness should also be explored through regulatory measures and incentives to encourage the adoption of SBMs. Additionally, fostering collaboration and networking among stakeholders can further promote market readiness and accelerate the uptake of SBMs in the construction industry. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-16 DOI: 10.1108/ECAM-12-2023-1229 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Zhenzong Zhou, Chen Wei, Geoffrey Qiping Shen, Jin Xue, Yongyue Liu, Yaowu Wang, Qingpeng Man Abstract: This study explores citizens’ acceptance of prefabricated housing (PH) from the perspective of socio-demographic and psychological factors, aiming to reveal the formation of PH acceptance and realize a sustainable development of PH. This study proposed hypotheses drawing on procedural justice theory and uncertainty management theory. A survey of 245 respondents was conducted, and the collected data was analyzed in a stepwise multiple regression model. Then, the psychological influencing mechanism was demonstrated using a mediation model. Results of the data analysis manifested that citizens’ acceptance of PH was influenced by socio-demographic and psychological factors, where psychological factors had more significant effects on acceptance than socio-demographic factors. The psychological mechanism was examined by verifying the mediating role of uncertainty between procedural justice and the acceptance of PH. Furthermore, a scientific strategy for developing PH was proposed based on this empirical study. This study extends the knowledge of procedural justice theory by investigating people’s acceptance in the PH context. This study is also one of the first studies to unveil the psychological mechanism toward a high-cost product with invisible technological innovation. This study contributes to the literature by introducing uncertainty management theory to a controversial issue, examining and expanding its application in a complicated context. Moreover, results highlight the positive influence of fair processes on controversial issues. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-15 DOI: 10.1108/ECAM-01-2024-0041 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Meiqi Lu, Maxwell Fordjour Antwi-Afari Abstract: Recent emerging information technologies like digital twin (DT) provide new concepts and transform information management processes in the architecture, engineering and construction (AEC) industry. Although numerous articles are pertinent to DT applications, existing research areas and potential future directions related to the state-of-the-art DT in project operation and maintenance (O&M) are yet to be studied. Therefore, this paper aims to review the state-of-the-art research on DT applications in project O&M. The current review adopted four methodological steps, including literature search, literature selection, science mapping analysis and qualitative discussion to gain a deeper understanding of DT in project O&M. The impact and contribution of keywords and documents were examined from a total of 444 journal articles retrieved from the Scopus database. Five mainstream research topics were identified, including (1) DT-based artificial intelligence technology for project O&M, (2) DT-enabled smart city and sustainability, (3) DT applications for project asset management, (4) Blockchain-integrated DT for project O&M and (5) DT for advanced project management. Subsequently, research gaps and future research directions were proposed. This study intends to raise awareness of future research by summarizing the current DT development phases and their impact on DT implementation in project O&M among researchers and practitioners. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-15 DOI: 10.1108/ECAM-03-2024-0304 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Lizhi Zhou, Chuan Wang, Pei Niu, Hanming Zhang, Ning Zhang, Quanyi Xie, Jianhong Wang, Xiao Zhang, Jian Liu Abstract: Laser point clouds are a 3D reconstruction method with wide range, high accuracy and strong adaptability. Therefore, the purpose is to discover a construction point cloud extraction method that can obtain complete information about the construction of rebar, facilitating construction quality inspection and tunnel data archiving, to reduce the cost and complexity of construction management. Firstly, this paper analyzes the point cloud data of the tunnel during the construction phase, extracts the main features of the rebar data and proposes an M-E-L recognition method. Secondly, based on the actual conditions of the tunnel and the specifications of Chinese tunnel engineering, a rebar model experiment is designed to obtain experimental data. Finally, the feasibility and accuracy of the M-E-L recognition method are analyzed and tested based on the experimental data from the model. Based on tunnel morphology characteristics, data preprocessing, Euclidean clustering and PCA shape extraction methods, a M-E-L identification algorithm is proposed for identifying secondary lining rebars in highway tunnel construction stages. The algorithm achieves 100% extraction of the first-layer rebars, allowing for the three-dimensional visualization of the on-site rebar situation. Subsequently, through data processing, rebar dimensions and spacings can be obtained. For the second-layer rebars, 55% extraction is achieved, providing information on the rebar skeleton and partial rebar details at the construction site. These extracted data can be further processed to verify compliance with construction requirements. This paper introduces a laser point cloud method for double-layer rebar identification in tunnels. Current methods rely heavily on manual detection, lacking objectivity. Objective approaches for automatic rebar identification include image-based and LiDAR-based methods. Image-based methods are constrained by tunnel lighting conditions, while LiDAR focuses on straight rebar skeletons. Our research proposes a 3D point cloud recognition algorithm for tunnel lining rebar. This method can extract double-layer rebars and obtain construction rebar dimensions, enhancing management efficiency. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-14 DOI: 10.1108/ECAM-12-2023-1227 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Sachin Batra, Aritra Halder Abstract: The construction industry has more propensity to negatively affect employees’ physical–mental well-being due to the inherently intense and demanding nature of the work involved. Digitalization can streamline the construction processes, and reduce stress, overtime and overall job-related pressure generated due to the nature of employment, contributing to the well-being of employees. Hence, the authors examined how digitalization, technostress and individual resilience could contribute to construction professionals’ physical–mental well-being using the transaction model of stress, self-determination theory and job-demand resources theory. Data were collected from 86 young professionals using a structured survey. The professionals were working in Indian construction organizations where digitalization is implemented extensively. The survey consists of 21 items to measure four latent variables namely digitalization, technostress, physical–mental well-being and individual resilience. The study employs a partial least squares structural equation modeling (PLS-SEM) approach to examine the theoretical model empirically. The results revealed that digitalization was positively associated with physical–mental well-being and negatively associated with technostress. Further, individual resilience was a moderating variable in the relationship between digitalization and technostress. Finally, technostress partially mediated the relationship between digitalization and physical–mental well-being. Digitalization has emerged as a valuable tool to tackle these challenges and improve the overall well-being of construction personnel. In the present study, digitalization is found to augment the physical–mental well-being of young construction professionals. Also, digitalization helps to significantly reduce technostress, thereby improving the physical–mental well-being of young professionals. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-13 DOI: 10.1108/ECAM-02-2024-0190 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Oluwatobi Nurudeen Oyefusi, Victor Adetunji Arowoiya, Melissa Chan Abstract: The construction industry in developed countries is witnessing a paradigm shift towards modular construction methods, driven by the need for efficiency, sustainability, and cost-effectiveness. However, the realization of these benefits in the context of developing countries is hindered by numerous barriers. Against this backdrop, this study seeks to contribute insights into the barriers hindering the adoption of modular construction in developing countries, specifically Nigeria, and further formulate effective strategies. A thorough review of existing literature was conducted to identify the multifaceted barriers hindering the adoption of modular construction and the corresponding strategies. Subsequently, a panel of 13 experts were invited to utilize the Fuzzy Analytic Hierarchy Process (FAHP) approach to systematically evaluate these barriers based on their impact. Furthermore, the experts implored the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach to select and prioritize the most suitable strategies to mitigate these barriers. The study revealed that the most critical barriers to modular construction are Client resistance to change and innovation, Limited experience in module installation, and Transportation constraints. Additionally, the study prioritizes 13 strategies, with the Development of effective guidelines, standards, and policies ranked highest. The insights from the ranking using the FAHP and TOPSIS approach were adopted to develop a framework for modular implementation in developing countries. This study is limited to Nigeria due to its status as the country with the highest Gross Domestic Product (GDP) in Africa, and it is considered a suitable representation of the region as most of the countries in Africa are categorized as developing nations. By highlighting the most critical barriers and prioritizing effective strategies, the study provides actionable insights for overcoming obstacles to modular construction adoption. Decision-makers can use this information to develop targeted policies and training programs to promote the adoption of modular construction in developing countries. The research provides valuable insights by not only identifying critical barriers but also presenting prioritized strategies, distinguishing itself from previous studies, and establishing itself as a novel resource for developing countries. This adopt a novel hybrid MCDM approach for modular construction in developing countries such as Nigeria which can serve as reference point to other developing countries seeking to adopt modular construction and leverage its numerous benefits. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-09 DOI: 10.1108/ECAM-01-2024-0082 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Heap-Yih Chong, Yufan Zhang, Cen Ying Lee, Fei Wang, Yubin Zhang Abstract: Audit trail cost management is crucial for ensuring accountability and enhancing quality assurance in construction management. Despite limited practical studies on audit trail management from a cost perspective; this study developed a lifecycle-based audit trail cost management framework. It used synchronized Building Information Modeling (BIM) cost models and Bills of Quantities (BoQs) to address the existing gap. This study employed a descriptive case study approach of a real-life hospital project in China. Data triangulation was achieved through interviews, observations, documents, and relevant artifacts. The study identified three key factors contributing to cost variances between BIM cost models and BoQs: differences in measurement rules, model precision, and professional errors, particularly evident during the preliminary estimate stage. Notably, significant cost savings of approximately RMB 5.811 million were achieved during the detailed estimate stage. During the construction phase, a synchronized approach was deployed to improve precise payment verification and modifications to the BIM model. In the post-construction phase, the synchronized as-built BIM models and BoQs served as primary references to facilitate the resolution of operational discrepancies. The research contributes to the literature by proposing a synchronized approach of BIM cost models and BoQs. This approach enhances traceability and accountability of project information, catering to the digitalization needs of the construction industry. This study unveils a pragmatic approach to enhancing transparency and accountability in audit-trail cost management by synchronizing BIM cost models and BoQs at various project stages. The synchronized approach offers a promising direction for future research and implementation of audit trail frameworks to enhance cost management in construction. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-09 DOI: 10.1108/ECAM-04-2024-0440 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Sooin Kim, Atefe Makhmalbaf, Mohsen Shahandashti Abstract: This research aims to forecast the ABI as a leading indicator of U.S. construction activities, applying multivariate machine learning predictive models over different horizons and utilizing the nonlinear and long-term dependencies between the ABI and macroeconomic and construction market variables. To assess the applicability of the machine learning models, six multivariate machine learning predictive models were developed considering the relationships between the ABI and other construction market and macroeconomic variables. The forecasting performances of the developed predictive models were evaluated in different forecasting scenarios, such as short-term, medium-term, and long-term horizons comparable to the actual timelines of construction projects. The architecture billings index (ABI) as a macroeconomic indicator is published monthly by the American Institute of Architects (AIA) to evaluate business conditions and track construction market movements. The current research developed multivariate machine learning models to forecast ABI data for different time horizons. Different macroeconomic and construction market variables, including Gross Domestic Product (GDP), Total Nonresidential Construction Spending, Project Inquiries, and Design Contracts data were considered for predicting future ABI values. The forecasting accuracies of the machine learning models were validated and compared using the short-term (one-year-ahead), medium-term (three-year-ahead), and long-term (five-year-ahead) ABI testing datasets. The experimental results show that Long Short Term Memory (LSTM) provides the highest accuracy among the machine learning and traditional time-series forecasting models such as Vector Error Correction Model (VECM) or seasonal ARIMA in forecasting the ABIs over all the forecasting horizons. This is because of the strengths of LSTM for forecasting temporal time series by solving vanishing or exploding gradient problems and learning long-term dependencies in sequential ABI time series. The findings of this research highlight the applicability of machine learning predictive models for forecasting the ABI as a leading indicator of construction activities, business conditions, and market movements. The architecture, engineering, and construction (AEC) industry practitioners, investment groups, media outlets, and business leaders refer to ABI as a macroeconomic indicator to evaluate business conditions and track construction market movements. It is crucial to forecast the ABI accurately for strategic planning and preemptive risk management in fluctuating AEC business cycles. For example, cost estimators and engineers who forecast the ABI to predict future demand for architectural services and construction activities can prepare and price their bids more strategically to avoid a bid loss or profit loss. The ABI data have been forecasted and modeled using linear time series models. However, linear time series models often fail to capture nonlinear patterns, interactions, and dependencies among variables, which can be handled by machine learning models in a more flexible manner. Despite the strength of machine learning models to capture nonlinear patterns and relationships between variables, the applicability and forecasting performance of multivariate machine learning models have not been investigated for ABI forecasting problems. This research first attempted to forecast ABI data for different time horizons using multivariate machine learning predictive models using different macroeconomic and construction market variables. Citation: Engineering, Construction and Architectural Management PubDate: 2024-08-06 DOI: 10.1108/ECAM-06-2023-0544 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xuelai Li, Xincong Yang, Kailun Feng, Changyong Liu Abstract: Manual monitoring is a conventional method for monitoring and managing construction safety risks. However, construction sites involve risk coupling - a phenomenon in which multiple safety risk factors occur at the same time and amplify the probability of construction accidents. It is challenging to manually monitor safety risks that occur simultaneously at different times and locations, especially considering the limitations of risk manager’s expertise and human capacity. To address this challenge, an automatic approach that integrates point cloud, computer vision technologies, and Bayesian networks for simultaneous monitoring and evaluation of multiple on-site construction risks is proposed. This approach supports the identification of risk couplings and decision-making process through a system that combines real-time monitoring of multiple safety risks with expert knowledge. The proposed approach was applied to a foundation project, from laboratory experiments to a real-world case application. In the laboratory experiment, the proposed approach effectively monitored and assessed the interdependent risks coupling in foundation pit construction. In the real-world case, the proposed approach shows good adaptability to the actual construction application. The core contribution of this study lies in the combination of an automatic monitoring method with an expert knowledge system to quantitatively assess the impact of risk coupling. This approach offers a valuable tool for risk managers in foundation pit construction, promoting a proactive and informed risk coupling management strategy. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-31 DOI: 10.1108/ECAM-02-2024-0149 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Oluwole Alfred Olatunji, James Olabode Bamidele Rotimi, Funmilayo Ebun Rotimi, Chathurani C.W. Silva Abstract: Cost and schedule overruns are rife in dam projects. Normative evidence espouses overruns as though they are inimical to development and prosperity aspirations of stakeholders. This study examines the causal relationship between project financing and overruns. Causative data were extracted from completion reports of 28 major dam projects in Africa. Each of the projects was financed jointly by up to 10 international development lenders. Relationships between causes of overruns and project outcomes were analysed. Analyses elicit indicators of remarkable correlations between finance procedures and project outcomes. Lenders’ disposition to risk attenuation was the main debacles to project success. Interests had mounted, whilst release of fund was erratic and ill-timed. Finance objectives and mechanisms were grossly inadequate for projects’ intense bifurcations. Projects had slowed or stalled because lenders’ risks attenuation processes were purposed to favour lenders’ objectives, and not projects’ interests. In addition, findings also show project owners’ own funds and the number of lenders to a single project correlate with overruns. Findings imply commercial complexities around major projects. They also show transactions are shaped by subtle (mis)trust behaviours in project finance procedures. Thus, scholarly solutions to project performance issues should consider behavioural issues of stakeholding parties more broadly, beyond contractors and project owners. Project finance ecosystems are vulnerable to major actors’ self-interests, opportunism and predatory conducts. Borrowers would manage this by developing and improving their capacity to build resilience and trust. Evidence shows intense borrower nations in Africa have limited capacity and acuity for these. This study contextualises megaprojects in complexity rather than cost. Its additionality is in how finance steers absolute control of project environment away from project owners and how finance administration triggers risks and overrun. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-31 DOI: 10.1108/ECAM-03-2023-0286 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Camila Marcela Sauer, Samer Skaik, Roksana Jahan Tumpa Abstract: LinkedIn, as a professional networking platform, plays a crucial role in connecting professionals globally and facilitating their professional growth. This study aims to analyse the perceptions of architects and designers regarding the utilisation of LinkedIn for career development. The research focuses on gathering professional perceptions and opinions through a qualitative analysis of primary data. A semi-structured interview approach was used for data collection. The study selected 12 actively engaged professionals from the architecture and design industry in Perth, Western Australia, who actively use LinkedIn. The study's findings reveal diverse opinions and experiences among professionals in the architecture and design industry regarding LinkedIn. It identifies several positive impacts of LinkedIn on the Australian architecture and design industry. Architects and designers recognise the potential benefits of LinkedIn in expanding their professional networks, showcasing their work, accessing learning opportunities and contributing to industry outcomes. They also appreciate the platform's ability to connect them with peers, clients, suppliers and industry, fostering knowledge sharing and collaboration in the evolving work environment. This study contributes to the existing literature by extending the understanding of the importance of self-presentation on LinkedIn, identifying factors influencing career goal achievement and highlighting the role of professional connections on social media. It establishes connections between 21st-century online innovations and their practical applications within the relevant context. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-30 DOI: 10.1108/ECAM-07-2023-0716 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Kaiyang Wang Abstract: In recent decades, interest in digital transformation (DX) within the architecture, engineering, and construction (AEC) industry has significantly increased. Despite the existence of several literature reviews on DX research, there remains a notable lack of systematic quantitative and visual investigations into the structure and evolution of this field. This study aims to address this gap by uncovering the current state, key topics, keywords, and emerging areas in DX research specific to the AEC sector. Employing a holistic review approach, this study undertook a thorough and systematic analysis of the literature concerning DX in the AEC industry. Utilizing a bibliometric analysis, 3,656 papers were retrieved from the Web of Science spanning the years 1990–2023. A scientometric analysis was then applied to these publications to discern patterns in publication years, geographical distribution, journals, authors, citations, and keywords. The findings identify China, the USA, and England as the leading contributors in the field of DX in AEC sector. Prominent keywords include “building information modeling”, “design”, “system”, “framework”, “adoption”, “model”, “safety”, “internet of things”, and “innovation”. Emerging areas of interest are “deep learning”, “embodied energy”, and “machine learning”. A cluster analysis of keywords reveals key research themes such as “deep learning”, “smart buildings”, “virtual reality”, “augmented reality”, “smart contracts”, “sustainable development”, “building information modeling”, “big data”, and “3D printing”. This study is among the earliest to provide a comprehensive scientometric mapping of the DX field. The findings presented here have significant implications for both industry practitioners and the scientific community, offering a thorough overview of the current state, prominent keywords, topics, and emerging areas within DX in the AEC industry. Additionally, this research serves as an invaluable reference and guideline for scholars interested in this subject. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-30 DOI: 10.1108/ECAM-11-2023-1174 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Wei Zhang, Ning Ding, Rui Xue, Yilong Han, Chenyu Liu Abstract: In today’s digital era, talent recruitment can help address the growing shortage of skilled labor in the construction industry and promote sustainable growth. While existing research has explored the association between talent acquisition and local labor productivity or economic progress, the impact on construction growth deserves further study. This study aims to (1) explore the influence of talent recruitment on the growth of the construction industry and (2) analyze whether different regional characteristics shape the differential impact of talent acquisition on construction growth. This research employs a quantitative approach, focusing on 35 major cities in China. A panel data regression model is utilized to analyze annual data from 2013 to 2018, considering variables like the construction talent recruitment index, value added in construction, gross regional product per capita and others. The study also examines regional heterogeneity and conducts robustness tests to validate the findings. The results reveal a positive and significant correlation between talent recruitment and construction industry growth. This correlation is more pronounced in economically advanced and infrastructure-rich regions. The study also finds that factors like capital investment, educational attainment and housing prices significantly contribute to industry growth. Talent recruitment not only transforms local labor market dynamics but also drives demand for construction services, promoting industry growth through economies of scale. This research constructs a new measurement for talent recruitment and provides new insights into the pivotal role of talent recruitment in the sustainable growth of the construction industry. It underscores the need for construction firms to tailor talent acquisition policies to their specific circumstances and regional developmental conditions. The findings offer practical guidance for driving regional growth within the sector, emphasizing the importance of talent recruitment as a key yet previously underappreciated factor in industry development. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-30 DOI: 10.1108/ECAM-11-2023-1213 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Udechukwu Ojiako, Lungie Maseko, David Root, Senthilkumar Venkatachalam, Alasdair Marshall, Eman Jasim Hussain AlRaeesi, Maxwell Chipulu Abstract: We explore the design risk factors and associated managerial practices driving collaborative risk management for design efficacy in green building projects. By illuminating project design risk as an important project risk category in its own right, the study contributes to our understanding of optimising design efficacies for collaborative project risk management. The study comprises exploratory interviews conducted with 27 industry project practitioners involved in the design and delivery/implementation of Green Star-certified building projects in South Africa. The findings discursively highlight seven sources of design risk. We also identify seven specific collaborative risk management practices for design efficacy emerging from a consideration of how risk environments vary in the Green Star-certified projects, each with its own project design risk implications. The study advances our understanding of how collaborations emerging from particular relational yet context-specific practices can be optimised to strengthen project risk management. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-24 DOI: 10.1108/ECAM-11-2023-1138 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Hongying Niu, Xiaodong Yang, Jiayu Zhang, Shengyu Guo Abstract: Construction fall-from-height accidents are not only caused by a single factor but also by the risk coupling between two or more factors. The purpose of this paper is to quantitatively analyze the risk coupling relationships between multiple factors and identify critical factors in construction fall-from-height accidents. A cause analysis framework was established from the perspective of human, machine, material, management and environmental factors. The definition, the classification and the process of risk coupling were proposed. The data from 824 historical accident reports from 2011 to 2021 were collected on government websites. A risk coupling analysis model was constructed to quantitatively analyze the risk coupling relationships of multiple factors based on the N-K model. The results were classified using K-means clustering analysis. The results indicated that the greater the number of causal factors involved in risk coupling, the higher the risk coupling value and the higher the risk of accidents. However, specific risk coupling combinations occurred when the number of their coupling factors was not large. Human, machine and material factors were determined to be the critical factors when risk coupling between them tended to pose a greater risk of accidents. This study established a cause analysis framework from five aspects and constructed a theoretical model to quantitatively analyze multi-factor coupling. Several suggestions were proposed for construction units to manage accident risks more effectively by controlling the number of factors and paying more attention to critical factors coupling and management and environmental factors. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-23 DOI: 10.1108/ECAM-12-2023-1306 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Minh Van Nguyen, Khanh Duy Ha, Tu Thanh Nguyen Abstract: In recent years, climate for innovation has attracted wide attention from industry and academia. It is perceived as a critical component of innovation performance in the built environment sector, especially in architectural design firms (ADFs). This study attempts to assess the degree of climate for innovation in the Vietnamese ADFs under the organizational climate theory. A list of 13 innovation climate variables was found by reviewing previous studies and discussions with industry practitioners. These variables were then categorized into three principal factors (personal commitment, tolerance of difference, and support for creativity), forming the inputs of the fuzzy synthetic evaluation (FSE) analysis. The results showed that the overall level of innovation in the climate is moderate, implying that it is still necessary for more improvements to the Vietnamese ADFs. The fuzzy analysis revealed that support for creativity was the most critical factor, followed by tolerance of difference and personal commitment. The proposed climate for innovation model is practical and reliable for architectural professionals and can be applied to assess other research areas. Few studies have emphasized the innovation climate in the construction sector, so this research may broaden the knowledge and literature on the industry, especially for the ADFs. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-18 DOI: 10.1108/ECAM-03-2023-0242 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Huimin Li, Zhichao Zhao, Yongchao Cao, Limin Su, Jing Zhao, Yafei Zhang Abstract: Servitization and research and development (R&D) innovation provide new developmental opportunities for transformation in the construction industry. This study aims to explore the transformative impact of servitization and R&D innovation on the value added of the construction industry, offering new insights into industry transformation and growth. This study utilizes panel data from Chinese listed construction companies from 2014 to 2022 to empirically investigate the relationship among servitization, R&D innovation and value added in the construction industry. The data analysis is augmented by incorporating text mining techniques to rigorously investigate the interplay among servitization, R&D innovation and the value added within the construction industry. The research findings indicate that the impact of servitization on value added follows a positive U-shaped relationship, while the influence of R&D innovation on value added exhibits an inverted U-shaped relationship. Additionally, innovation investment plays a negative moderating role in the relationship between servitization and value added. This study reveals a fresh perspective on how construction companies can leverage servitization as a strategic pathway for transformation and competitive advantage. The research also lays a theoretical groundwork for future innovation investment strategies in the construction industry, emphasizing the need for a balanced approach to innovation investments to maximize value added. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-16 DOI: 10.1108/ECAM-03-2024-0289 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Leiqing Xu, Zhubai Zhang Abstract: Home is a place/system/product that becomes increasingly occupied with various tasks used to be performed in workplaces. However, the knowledge of the relationship between residential physical environments and occupant experience is limited, especially when considering the effect of indoor plants (IPs) and climate zones. To address the gap, this study conducted a questionnaire survey in three cities across different regions in China. Based on User Experience and Customer Satisfaction Index theory, following the research paradigm, a total of 627 valid samples were collected and analyzed in a stepwise statistical analysis, including descriptive statistics, reliability and validity test, correlation test and region comparison, then the model of PROCESS was adopted to examine the hypotheses that are given based on the former studies. The results showed that residential physical environments have a significant effect on occupant satisfaction (OS) in all regions, as well as OS on occupant performance. However, regional differences were found that OS is a complete mediator in the Middle region, while a partial mediator in the North and South. A slight moderating effect of IPs was also found in the region of South. Nevertheless, both the number of plants and plant types have a significant moderating effect on the mechanism. Besides combining two theories and confirming the mechanism in the residential physical environment, it is also the first study to consider the moderating effects of IPs and climate zones, providing potential empirical support for not only design and management stages but also facing global challenges of working at home and climate changes. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-16 DOI: 10.1108/ECAM-06-2023-0595 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yin Junjia, Aidi Hizami Alias, Nuzul Azam Haron, Nabilah Abu Bakar Abstract: Hoisting is an essential construction work package, but there is still a high incidence of accidents due to insufficient attention to coping strategies. This study aims to provide decision support to practitioners on safety protocols by developing a multi-stakeholder risk response model and a novel evaluation method. Firstly, the study summarizes the hoisting risk response strategies system through a literature review and stakeholder theory. Secondly, the study constructed a quantitative theoretical model based on GLS-SEM and questionnaires. Third, the EWM-VA evaluation method was developed to determine the value coefficients of strategies. The strategic interaction between government and consultants, consultants and builders, and government and builders are in the top three pronounced. Three coping strategies, “Increase funding for lifting equipment and safety devices,” “Improve the quality of safety education and training on lifting construction,” and “Conduct regular emergency rescue drills for lifting accidents,” have the optimal ratio of benefits to costs. The hoisting risk strategy model from the perspective of multi-interested subjects proposed by the study is based on the global thinking of the project, which reduces the troubles such as the difficulty of pursuing responsibility and the irrational allocation of strategies that were brought by the previously related studies that only considered a single interested subject. In addition, the EWM-VA evaluation method developed in the study also provides new options for evaluating risk strategies and has the potential to be extended to other fields. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-16 DOI: 10.1108/ECAM-12-2023-1257 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Li Feng, Junying Liu, Zhixiu Wang, Yanyan Hong Abstract: The regulatory landscape surrounding international construction projects presents significant challenges, and contractors are still struggling to pay a painful price for their performance in the project. While existing research has identified various causes of contractor compliance, the intricate interplay of these factors and their impact on compliance remain largely elusive. The motivation-opportunity-ability (MOA) framework may hold the key to determining what factors can foster induced contractor compliance in international projects. This study collected 124 valid data samples from practitioners involved in large-scale international contracting projects through expert interviews and questionnaire surveys. Fuzzy-set qualitative comparative analysis (fsQCA) was employed to analyze the diverse combinations of contractor compliance factors. The study identifies seven key factors that contribute to compliance behavior among international construction contractors: economic motivation, social motivation, normative motivation, legal completeness, deterrent sanctions, organizational learning and compliance management ability. The interplay of these factors promotes compliance in the following ways: When international construction contractors are influenced by both social and normative motivations, they exhibit a higher level of compliance. In situations where regulatory systems are relatively weak, the ability to manage compliance becomes the primary driver of compliance behavior for businesses. A comprehensive legal framework creates a conducive environment for contractors to improve their compliance through organizational learning. The findings offer guidance for international construction contractors in enhancing compliance by considering factors such as motivations, legal frameworks, organizational learning and compliance management. This can lead to improved risk management and performance in international projects. This research enhances fair and ethical practices in international construction by identifying compliance drivers, fostering positive social impact, mitigating negative consequences and empowering local communities. It informs legal and regulatory reform, encourages improved business practices and contributes to knowledge advancement in the field. Overall, the findings have the potential to positively impact the social fabric of international construction projects. This study has made an important contribution to the field of compliance theory by integrating theories from multiple disciplinary domains and constructing a new theoretical framework from the perspectives of motivation, opportunity and capability. By elucidating how these factors interact and influence compliance behavior among international construction contractors, this research aids in understanding the complex dynamics of contractor compliance behavior and provides theoretical reference for compliance governance within the construction industry. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-15 DOI: 10.1108/ECAM-02-2024-0163 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Jacopo Cassandro, Claudio Mirarchi, Maryam Gholamzadehmir, Alberto Pavan Abstract: The paper clarifies research gaps and future directions in building information modeling (BIM) research by analyzing research trends and publication patterns. It aims to (1) systematically categorize the vast array of BIM literature into coherent main topics, (2) identify the most and least explored areas and (3) propose directions for future research based on identified research gaps. This study uses the Latent Dirichlet Allocation (LDA) method to manage large datasets and uncover hidden patterns in academic journals and conference articles. To clarify the scholarly focus, the main topics in BIM research are categorized into three groups: (1) primary areas of focus, (2) moderately explored topics and (3) least investigated topics. The findings revealed 10 main topics (MTs) and 57 subtopics (STs), identifying key areas such as project design and management (20%), innovative construction technology (14%) and sustainable construction/life cycle management (14%). Conversely, it also highlighted underexplored areas like Facility/safety management and urban data development, suitable for future research. While this work provides a structured overview of the BIM domain, it reveals opportunities for further exploring the complexity of the interrelation among interdisciplinary topics. The novelty of this study is its extensive scope, analyzing over fifteen thousand BIM articles from 2013 to 2023, which significantly expands the literature scale previously reviewed. This comprehensive approach maps BIM research trends and gaps and also shows the hierarchical trend line of publications in each main topic, setting a benchmark for future studies. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-15 DOI: 10.1108/ECAM-04-2024-0435 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Jianyao Jia, Shan Jiang, Liang Xiao, Fei Lu Abstract: The adoption of emerging information and communication technologies in construction project teams has engendered numerous virtual spaces, characterized by communication visibility and content persistence. As a result, the knowledge exchanged in these virtual spaces serves as a team’s digital resources. However, the extant literature mostly takes a process-based approach to examine the impact of knowledge sharing, thus failing to fully comprehend the process of converting digital resources into performance, resulting in a gap in the literature. This study employs team resource-based theory to construct a theoretical model and develop hypotheses. Specifically, knowledge integration capability and team efficacy are hypothesized as two types of critical capabilities that mediate the links between knowledge sharing (quantity and quality) in virtual spaces and management performance. Data from 128 middle and senior construction project managers were collected to test the proposed theoretical model. The results suggest that relationships between knowledge sharing (quantity and quality) and project management performance are both mediated by knowledge integration capability. Moreover, team efficacy could only partially translate knowledge sharing quantity into performance and couldn’t transform knowledge sharing quality into performance. Besides, knowledge integration is found to strengthen the link between knowledge sharing quantity and performance but weaken the relationship between knowledge sharing quality and performance. This study explores how knowledge shared in virtual spaces could be leveraged for improving management performance in construction project teams. The findings in this study enhance the understanding of knowledge sharing in digital environments and afford important insights into transforming digital resources into performance within construction project teams. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-12 DOI: 10.1108/ECAM-01-2024-0038 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Minh Van Nguyen, Khanh Duy Ha Abstract: Adopting sustainable building materials (SBMs) is one way to reduce the negative environmental impacts of the built environment. However, the adoption of SBMs is not as high as expected. This study aims to investigate which factors affect the adoption of SBMs. A literature review and discussions with professional practitioners formed an initial list of variables affecting readiness to adopt SBMs. A questionnaire survey was designed, and data from industrial practitioners were collected using the snowball sampling method. The data collected from 218 respondents were analyzed using the PLS-SEM technique. The findings show that SBM adoption is critically influenced by readiness at different levels (market, organization, and employee). Specifically, market readiness enhances organization preparedness (beta = 0.628), and organization readiness positively affects employee readiness (beta = 0.510). Market, organization, and employee readiness positively impact the adoption of SBMs (beta = 0.386, 0.364, and 0.158, respectively). Moreover, the relationship between market and employee readiness is fully mediated by organization readiness (indirect effect = 0.320; p = 0.000). Organization readiness positively mediates the relationship between market readiness and SBM adoption (indirect effect = 0.050; p = 0.001). The relationship between organization readiness and SBM adoption is fully mediated by employee readiness (indirect effect = 0.229; p = 0.000). Additionally, employee readiness positively mediates the relationship between market readiness and SBM adoption through organization readiness (indirect effect = 0.080; p = 0.000). While past studies have predominantly focused on human perception, this study recognizes the importance of contextual factors like market conditions, Organization readiness, and employee readiness in shaping the adoption of SBMs. Thus, it fills a notable void in the literature and highlights the need for a broader theoretical framework that incorporates both individual perceptions and external contextual influences. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-12 DOI: 10.1108/ECAM-12-2023-1268 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ann Francis, Vandana Padmanabhan, Albert Thomas Abstract: Contemporary construction techniques provide benefits of speed and cost savings on a large scale, and is viable in urban regions with exorbitant housing demand. In rural areas, where scale and access to technology are unavailable, locally prevalent vernacular architecture and methods are more suitable. Although vernacular construction techniques have historically proven more sustainable and climate-sensitive, the lack of skilled labour and lack of versatility in material selection limits its application on large-scale projects. This study explores the choice of building design and technology, from the context of embodied energy, carbon and other life cycle impacts for housing construction. Life cycle assessment (LCA) that evaluates impacts due to the products/processes is used to analyse different construction techniques. Further a detailed estimation of embodied carbon and embodied energy is done for both “vernacular” and “contemporary” choices of construction methodology for a case study project. The building constructed using vernacular techniques has lower embodied carbon and energy by over 30% compared to the other clusters designed using contemporary confined masonry techniques. However, with a few external interventions the contemporary methods can be implemented with improved sustainability. The limitation of the study is that it presents a case study-based exploration into comparing construction techniques to provide a practical understanding of making sustainable design choices and, hence, is limited to two construction methods. However, the same method could be extended to compare other construction techniques. Furthermore, it does not present a whole building LCA since the operating phase impacts are assumed to be fairly constant for such housing type, irrespective of the chosen method. Similarly, the demolition phase or the potential of reuse of the waste generated, water consumption and cultural and social heritage are not investigated in comparing the alternatives. Nevertheless, future studies could perform extensive exploratory and modelling studies on the operation phase and demolition phase to understand these impacts further. In mass housing projects that belong to the so-called “affordable housing” or low-income housing category, sustainability concerns are not yet at the forefront of the decision-making process. Therefore, this study emphasizes the importance of incorporating sustainability into building design and construction and making sustainability accessible to even low-income communities. Adequate planning, social awareness initiatives and imparting skills and knowledge of sustainability to these communities are of utmost importance. The choice of design and materials should be encouraged by keeping in mind lower upfront costs as well as low maintenance and operational costs. The primary implications of the study are that the vernacular technologies are much superior in terms of sustainability in comparison to conventional construction of RCC framed structures as well as contemporary construction methods such as confined masonry. However, the implementation of such techniques presents significant challenges such as a lack of skilled forces, increased maintenance and lack of flexibility to minor modifications. Hence, although being a sustainable choice its acceptance and execution present practical difficulties. Therefore, this study primarily aims to reinforce the belief in vernacular architecture and techniques to build sustainable and resilient communities while highlighting the challenges of the modern world in implementing them. Most studies advocate using construction methods based on their ease of implementation, maintenance or cost. However, this study highlights the importance of considering the aspect of sustainability in the context of the choice of methods for housing construction in urban and semi-urban areas. This study also addresses the need not to overlook vernacular construction technologies while selecting technology for housing for low-income communities. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-11 DOI: 10.1108/ECAM-12-2023-1255 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ahsan Waqar, Idris Bin Othman, Muhammad Shoaib Mansoor Abstract: The primary objective of this study is to analyze the correlation between the application of building information modeling (BIM), the construction project success (CPS) and project control. Additionally, this research aims to explore the potential mediating effect of project control on the link between BIM and construction project success in the Malaysian construction industry. The present study employs a quantitative research methodology and adheres to a positivist research philosophy in order to examine the influence of BIM implementation on the CPS and project control within the Malaysian construction sector. The data were collected by structured questionnaire survey from 200 respondents using a purposive sampling strategy, and the results were analyzed by using partial least square (PLS)-structural equation modeling (SEM). The study's findings are all the more noteworthy since, despite the small sample size, 218 persons genuinely participated thanks to the purposive sampling approach. The findings of this study indicate that there are notable and positive associations between various variables related to the implementation of BIM. These variables include accurate quantities and estimations, risk management, facility management integration, optimized resource allocation and real-time monitoring. Furthermore, these relationships are observed to have a significant impact on both CPS and project control. The study revealed that project control serves as a mediator in the relationship between the deployment of BIM and the CPS in the Malaysian construction sector, with the exception of its influence on risk management. The originality of this research consists in examining the mediating function of project control in the relationship between BIM implementation and CPS. This study contributes to the existing knowledge by enhancing our understanding of the processes via which BIM positively influences project outcomes. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-10 DOI: 10.1108/ECAM-08-2023-0794 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Marjan Pouraghajan, Sara Omrani, Robin Drogemuller Abstract: This study addresses the global landscape of offsite construction, highlighting its variable adoption patterns and the challenge posed by the prevalent use of suboptimal decision-making methods. In response, the decision-making model seeks to equip decision-makers with tools for well-informed decisions on concrete construction systems, tailored to the unique characteristics of each project, in contrast to the persisting reliance on expert knowledge, checklists or similar tools. The study extracts decision-making criteria through literature reviews, pilot studies and surveys amongst Australian construction professionals. A comprehensive comparison of four concrete systems against each identified criterion is conducted, followed by the application of an integrated decision model (Entropy-TOPSIS) to rank the systems, considering all criteria simultaneously. Real-world case studies validate the practical applicability of the model. An analysis of 15 criteria demonstrated the multifaceted nature of selecting concrete construction systems, emphasising evolving industry priorities like time efficiency, environmental considerations and logistical constraints. The enduring appeal of in-situ concrete in complex projects underscores the significance of traditional methods. The integration of the Entropy-TOPSIS model proved to be a robust decision-making tool, enabling professionals to simultaneously consider all criteria and make well-informed, customised decisions. The study’s originality lies in its comprehensive approach, considering diverse criteria and presenting a flexible decision-making model suitable for the dynamic demands of the construction industry. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-09 DOI: 10.1108/ECAM-01-2024-0062 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Jeffrey S. Russell, Islam El-adaway, Ramy Khalef, Fareed Salih, Gasser Ali Abstract: Project management (PM) involves planning, allocating, directing and controlling project resources within a set of predetermined objectives. The modern definition of PM has evolved and grown into a broader concept. This paper supports the notion that PM evolved into four distinct phases: PM 1.0 is primarily concerned with planning, PM 2.0 with collaboration, PM 3.0 with proactive adaptation and PM 4.0 with using innovative technologies. Research efforts tackled critical aspects of PM, but none of them provided a clear foundation for the full context of PM principles and how they complement one another. This study fills this knowledge gap by investigating the evolution of PM over time. The authors collected a dataset of research papers between 1960 and 2022 and performed a bibliometric analysis on the collected dataset to isolate the main trends that define the evolution of PM phases. Results show that all PM phases overlap in terms of overarching themes, concepts, principles and contributions. More importantly, PM 5.0 may be around the corner to facilitate effective and efficient handling of time, cost, scope and risks within the ever-growing complexity of project initiatives. This paper provides a data-driven study for a holistic understanding of the key trends in PM and the associated expectations of future research directions. This will be of interest to stakeholders within the overall PM domain and multidisciplinary work related to the construction industry. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-09 DOI: 10.1108/ECAM-05-2023-0426 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Tirth Patel, Brian H.W. Guo, Jacobus Daniel van der Walt, Yang Zou Abstract: Current solutions for monitoring the progress of pavement construction (such as collecting, processing and analysing data) are inefficient, labour-intensive, time-consuming, tedious and error-prone. In this study, an automated solution proposes sensors prototype mounted unmanned ground vehicle (UGV) for data collection, an LSTM classifier for road layer detection, the integrated algorithm for as-built progress calculation and web-based as-built reporting. The crux of the proposed solution, the road layer detection model, is proposed to develop from the layer change detection model and rule-based reasoning. In the beginning, data were gathered using a UGV with a laser ToF (time-of-flight) distance sensor, accelerometer, gyroscope and GPS sensor in a controlled environment. The long short-term memory (LSTM) algorithm was utilised on acquired data to develop a classifier model for layer change detection, such as layer not changed, layer up and layer down. In controlled environment experiments, the classification of road layer changes achieved 94.35% test accuracy with 14.05% loss. Subsequently, the proposed approach, including the layer detection model, as-built measurement algorithm and reporting, was successfully implemented with a real case study to test the robustness of the model and measure the as-built progress. The implementation of the proposed framework can allow continuous, real-time monitoring of road construction projects, eliminating the need for manual, time-consuming methods. This study will potentially help the construction industry in the real time decision-making process of construction progress monitoring and controlling action. This first novel approach marks the first utilization of sensors mounted UGV for monitoring road construction progress, filling a crucial research gap in incremental and segment-wise construction monitoring and offering a solution that addresses challenges faced by Unmanned Aerial Vehicles (UAVs) and 3D reconstruction. Utilizing UGVs offers advantages like cost-effectiveness, safety and operational flexibility in no-fly zones. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-04 DOI: 10.1108/ECAM-01-2024-0020 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Lan Luo, Yuyang Liu, Yue Yang, Jianxun Xie, Guangdong Wu Abstract: This study aims to explore the interaction of “contractual governance – relational governance – governmental governance” mechanisms and proposes hypotheses about the effects of megaproject governance on governance performance from both theoretical and practical perspectives. In this paper, a megaproject governance model is developed to explain the relationship between governance mechanisms and governance performance. The model is based on related literature and explores the interactions between governance mechanisms and how they work to improve governance performance. The structural equation model (SEM) is adopted to explore the influence path on governance performance for megaprojects. The results indicate that: (a) The findings highlight the positive role of project governance mechanisms on governance performance. (b) Contractual governance, relational governance, and governmental governance directly affect governance performance. In addition, contractual governance mediates governance performance through relational governance and governmental governance; governmental governance mediates governance performance through contractual governance and relational governance. (c) Contractual governance, relational governance, and governmental governance play a positive role in governance performance. Governmental governance is added to project governance theory and the empirical research method is used to explore the interaction between contractual governance, relational governance, and governmental governance of megaprojects. The SEM is used to systematically explore the paths of megaproject governance mechanisms on governance performance, considering the interactive role of the “contractual governance - relational governance - governmental governance” and the mediating role. The study reveals the impact path of multidimensional megaproject governance mechanisms on governance performance. In this paper, the empirical findings can help the project participants by providing a decision-making basis for good governance and references for the governments to promote the construction of a micro-institutional environment for megaprojects. The contributions of this study are (1) to add an exploration of governmental governance to the existing project governance theory, and (2) to consider the interactions of the “contractual governance – relational governance – governmental governance” mechanisms, and (3) to explore their effects on governance performance, including direct and mediating effects. This study contributes to a comprehensive understanding of megaproject governance by considering governmental governance and the interactions of the three governance mechanisms. Understanding the impact of megaproject governance on governance performance could assist project stakeholders and provide decision guidance for good governance. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-04 DOI: 10.1108/ECAM-10-2023-1081 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Furkan Polat, Sevilay Demirkesen Abstract: The main purpose of this study is to reveal the degree of association between lean, building information modeling (BIM) and construction project success. The study further intends to provide strategies for high and low associations of the factors. Lean construction and BIM are two important applications that have recently gained popularity in terms of enhancing project success. Considering this impact, this study investigates the synergy between lean construction and BIM and determines to what extent these two contribute to the success of the projects. As a first step, lean, BIM and project success were examined based on an in-depth literature review. In the second stage, a structural equation model (SEM) was established to reflect the relationship among these three through hypotheses. Then, a questionnaire was designed and administered to the construction professionals experienced in both lean and BIM implementation. The SEM was tested using Analysis of Moment Structures (AMOS), an SPSS tool. The results indicated that lean implementation has a significant and positive impact on BIM implementation and project success. On the other hand, BIM implementation had a lower significant impact on project success than lean implementation construct. The results of this study can be used by both policymakers and industry practitioners in terms of developing strategies for effectively using both lean and BIM. The researchers can further develop other implementation models to investigate whether these concepts are more effective in increasing project success when used integratively. This study considers both the impact of lean and BIM on project success through input from construction practitioners working on large projects. This way, the study fosters the use of lean, BIM or lean–BIM together in construction projects to enhance project success. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-01 DOI: 10.1108/ECAM-02-2024-0204 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Qianqian Shi, Longyu Yao, Changwei Bi, Jianbo Zhu Abstract: The construction of megaprojects often involves substantial risks. While insurance plays an important role as a traditional risk transfer means, owners and insurance companies may still suffer huge losses during the risk management process. Therefore, considering the strong motivation of insurance companies to participate in the on-site risk management of megaprojects, this study aims to propose a collaborative incentive mechanism involving insurance companies, to optimize the risk management effect and reduce the risk of accidents in megaprojects. Based on principal-agent theory, the research develops the static and dynamic incentive models for risk management in megaprojects, involving both the owner and insurance company. The study examines the primary factors influencing incentive efficiency. The results are numerically simulated with a validation case. Finally, the impact of parameter changes on the stakeholders' benefits is analyzed. The results indicate that the dynamic incentive model is available to the achievement of a flexible mechanism to ensure the benefits of contractors while protecting the benefits of the owner and insurance company. Adjusting the incentive coefficients for owners and insurance companies within a specified range promotes the growth of benefits for all parties involved. The management cost and economic benefit allocation coefficients have a positive effect on the adjustment range of the incentive coefficient, which helps implement a more flexible dynamic incentive mechanism to motivate contractors to carry out risk management to reduce risk losses. This study makes up for the absence of important stakeholders in risk management. Different from traditional megaproject risk management, this model uses insurance companies as bridges to break the island effect of risk management among multiple megaprojects. This study contributes to the body of knowledge by designing appropriate dynamic incentive mechanisms in megaproject risk management through insurance company participation, and provides practical implications to both owner and insurance company on incentive contract making, thus achieving better risk governance of megaprojects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-07-01 DOI: 10.1108/ECAM-04-2024-0473 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Lin-lin Xie, Yifei Luo, Lei Hou, Jianqiang Yu Abstract: Megaproject knowledge innovation (MKI) is perceived as a critical strategy for engineering value co-creation and industrial chain upgrading. Ascertaining the impact mechanism of MKI is a crucial initial step towards improving management practices. Within the framework of complex systems in megaprojects, factors exhibit intricate interdependencies. However, the current domain of knowledge has either overlooked or oversimplified this relationship and therefore cannot propose pragmatic and efficacious strategies for enhancing MKI. To close this gap, this study develops a Bayesian network (BN) model aiming to investigate the interdependencies among MKI-related factors and their impact on MKI. First, this study implements literature review, expert interview and field investigation to identify the influencing factor nodes for the network model development. Second, a Bayesian network was constructed by integrating the expert knowledge with Dempster-Shafer theory. Next, a MKI measurement model was established using 253 training samples. Finally, the factor significance and optimal MKI improvement strategies are identified from the sensitivity analysis and probabilistic reasoning within the BNs. The results indicate that (1) the BN model exhibits significant reliability and holds promotion and application value in formulating MKI management strategies; (2) knowledge sharing, shared vision and leadership are the key influencing factors of MKI; and (3) simultaneously improving institutional pressure, leadership and knowledge sharing is the most optimal strategy to enhance MKI. This study innovatively introduced the BN method into the domain of MKI management, providing an appropriate approach for modelling complex relationships among factors and investigate nonlinear influences. The developed model raises megaproject stakeholders’ awareness about factors influencing MKI and presents quantified strategies that increase the likelihood of maximising MKI levels. Its ease of generalisability positions it as a promising decision support tool, facilitating the implementation of sustainable MKI practices. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-28 DOI: 10.1108/ECAM-03-2023-0244 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Hossam Wefki, Mona Salah, Emad Elbeltagi, Asser Elsheikh, Rana Khallaf Abstract: Given the growing interest in modern construction techniques and the emergence of innovative technologies, construction site layout planning research has progressively been investigating approaches to adopt innovative concepts and incorporate renewed approaches to improve widespread efficiency. This research develops a decision-making tool that optimizes construction site layout plans. The developed model targets two main objectives: minimizing material transportation costs and maximizing safety by optimally placing facilities on construction sites. A novel approach is devised based on the integration of Building Information Modeling and Generative Design (BIM-GD). This engine is used to optimize the multi-objective site layout problems to identify layout alternatives in the early project stages. Parametric modeling uses Dynamo to construct the model and explore constraints initially. Finally, the GD environment is utilized to create different design alternatives, and then the decision-making procedure selects the most appropriate design alternative. Additionally, a case study is applied to validate the effectiveness of the developed model. The results indicate the effectiveness of the proposed GD tool and its potential for more complex applications. The GD engine examined optimal layout plans, balancing different objectives and adhering to appointed geometric constraints. A case study was conducted to assess the model's effectiveness and showcase its suitability. Construction Site Layout Planning (CSLP) is an essential step in design that can influence considerable aspects, such as material transportation expenses and different safety standards on the site. Employing visual programming for parametric modeling within Dynamo-Revit creates an expedient and user-friendly platform for planning engineers who may require more programming expertise to create and program algorithmic models visually. Utilizing GD in CSLP has proven to be a powerful tool with consequential prospects for improving applications and executing more models. The findings from this framework are intended to help construction practitioners select the most appropriate site layout during early project stages while incorporating different safety criteria inside construction sites to alleviate actual safety risks. A new approach is proposed that utilizes an integrated BIM-GD engine to optimize multi-objective site layout problems. This approach targets two main objectives: minimizing material transportation costs and maximizing safety by optimally placing facilities in construction sites. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-26 DOI: 10.1108/ECAM-11-2023-1193 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Junseo Bae Abstract: The main objectives of this study are to (1) develop and test a cost contingency learning model that can generalize initially estimated contingency amounts by analyzing back the multiple project changes experienced and (2) uncover the hidden link of the learning networks using a curve-fitting technique for the post-construction evaluation of cost contingency amounts to cover cost risk for future projects. Based on a total of 1,434 datapoints collected from DBB and DB transportation projects, a post-construction cost contingency learning model was developed using feedforward neural networks (FNNs). The developed model generalizes cost contingencies under two different project delivery methods (i.e. DBB and DB). The learning outputs of generalized contingency amounts were curve-fitted with the post-construction schedule and cost information, specifically aiming at uncovering the hidden link of the FNNs. Two different bridge projects completed under DBB and DB were employed as illustrative examples to demonstrate how the proposed modeling framework could be implemented. With zero or negative values of change growth experienced, it was concluded that cost contingencies were overallocated at the contract stage. On the other hand, with positive values of change growth experienced, it was evaluated that set cost contingencies were insufficient from the post-construction standpoint. Taken together, this study proposed a tangible post-construction evaluation technique that can produce not only the plausible ranges of cost contingencies but also the exact amounts of contingency under DBB and DB contracts. As the first of its kind, the proposed modeling framework provides agency engineers and decision-makers with tangible assessments of cost contingency coupled with experienced risks at the post-construction stage. Use of the proposed model will help them evaluate the allocation of appropriate contingency amounts. If an agency allocates a cost contingency benchmarked from similar projects on aspects of the base estimate and experienced risks, a set contingency can be defended more reliably. The main findings of this study contribute to post-construction cost contingency verification, enabling agency engineers and decision-makers to systematically evaluate set cost contingencies during the post-construction assessment stage and achieving further any enhanced level of confidence for future cost contingency plans. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-25 DOI: 10.1108/ECAM-01-2024-0136 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Gopinath Selvam, Mohan Kamalanandhini, Muthuvel Velpandian, Sheema Shah Abstract: The construction projects are highly subjected to uncertainties, which result in overruns in time and cost. Realistic estimates of workforce and duration are imperative for construction projects to attain their intended objectives. The aim of this study is to provide accurate labor and duration estimates for the construction projects, considering actual uncertainties. The dataset was formulated from the information collected from 186 construction projects through direct interviews, group discussions and questionnaire methods. The actual uncertainties and exposure conditions of construction activities were recorded. The data were verified with the standard guideline to remove the outliers. The prediction model was developed using support vector regression (SVR), a machine learning (ML) method. The performance was evaluated using the widely adopted regression metrics. Further, the cross validation was made with the visualization of residuals and predicted errors, ridge regression with transformed target distribution and a Gaussian Naive Bayes (NB) regressor. The prediction models predicted the duration and labor requirements with the consideration of actual uncertainties. The residual plot indicated the appropriate use of SVR to develop the prediction model. The duration (DC) and resource constraint (RC) prediction models obtained 80 and 82% accuracy, respectively. Besides, the developed model obtained better accuracy for the training and test scores than the Gaussian NB regressor. Further, the range of the explained variance score and R2 was from 0.95 to 0.97, indicating better efficiency compared with other prediction models. The researchers will utilize the research findings to estimate the duration and labor requirements under uncertain conditions and further improve the construction project management practices. The research findings will enable industry practitioners to accurately estimate the duration and labor requirements, considering historical uncertain conditions. A precise estimation of resources will ensure the attainment of the intended project outcomes. Delays in construction projects will be reduced by implementing the research findings, which significantly ensures the effective utilization of resources and attainment of other economic benefits. The policymakers will develop a guideline to develop a database to collect the uncertainties of the construction projects and relatively estimate the resource requirements. This is the first study to consider the actual uncertainties of construction projects to develop RC and DC prediction models. The developed prediction models accurately estimate the duration and labor requirements with minimal computational time. The industry practitioners will be able to accurately estimate the duration and labor requirements using the developed models. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-25 DOI: 10.1108/ECAM-06-2023-0582 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Qianqian Shi, Ziyu Wang Abstract: The study aims to enhance energy efficiency within the high-energy consuming construction industry. It explores the spatial-temporal dynamics and distribution patterns of total factor energy efficiency (TFEE) across China’s construction industry, aiming to inform targeted emission reduction policies at provincial and city levels. Utilizing a three-stage super-efficiency SBM-DEA model that integrates carbon emissions, the TFEE in 30 Chinese provinces and cities from 2004 to 2019 is assessed. Through kernel density estimation and exploratory spatial data analysis, the dynamic evolution and spatial patterns of TFEE are examined. Analysis reveals that environmental investments positively impact TFEE, whereas Gross Regional Product (GRP) exerts a negative influence. R&D expenditure intensity and marketization show mixed effects. Excluding environmental and random factors, TFEE averages declined, aligning more closely with actual development trends, showing a gradual decrease from east to west. TFEE exhibited fluctuating growth with a trend moving from inefficient clusters to a more even distribution. Spatially, TFEE demonstrated aggregation effects and characteristics of space-time transition. This research employs the three-stage super-efficiency SBM-DEA model to measure the total factor energy efficiency of the construction industry, taking into account external environment, random disturbances, and multiple effective decision-making units. It also evaluates energy efficiency changes before and after removing disturbances and comprehensively examines regional and temporal differences from static and dynamic, overall and phased perspectives. Additionally, Moran scatter plots and LISA cluster maps are used to objectively analyze the spatial agglomeration and factors influencing energy efficiency. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-21 DOI: 10.1108/ECAM-09-2023-0972 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Layin Wang, Rongfang Huang, Xiaoyu Li Abstract: China is a large country with different regions due to regional differences and project characteristics, and the selection of prefabricated building technology according to local conditions is the key to its sustainable development in China. The purpose of this paper is to develop the suitability evaluation system of prefabricated building technology from the perspective of the suitability concept and to analyze the selection path of prefabricated building technology and to provide a reference for selecting and developing prefabricated building technology schemes that meet regional endowments. Based on relevant literature, technical specifications, and standards, this paper constructs an index system for analyzing the technical suitability of prefabricated buildings. It includes 23 indicators, 7 dimensions, and 3 aspects through the semantic clustering method. Following this, the comprehensive weight of each index is determined using the order relation method (G1) and the continuous ordered weighted averaging (COWA). The selection of technical schemes is comprehensively evaluated using Visekriterjumska Optimizacija Ikompromisno Resenje (VIKOR) and Fuzzy Comprehensive Evaluation Method. (1) The technical suitability of prefabricated buildings is influenced by 7 core factors, such as adaptability of resources and environment, project planning and design level, and economic benefit; (2) When selecting the appropriate technology for prefabricated buildings, economic suitability should be considered first, followed by regional suitability, and then technical characteristic; (3) The prefabricated building technology suitability evaluation model constructed in this paper has high feasibility in the technical suitability selection of the example project. The comprehensive evaluation model of prefabricated building technology suitability constructed in this paper provides technical selection support for the promotion and development of prefabricated buildings in different regions. In addition, the model can also be widely used in areas related to prefabricated building consulting and decision-making, and provides theoretical support for subsequent research. This study provides a new decision support tool for prefabricated building technology suitability selection, which helps decision makers to make more rational technology choices. This study has a positive impact on the advancement of prefabricated building technology, the improvement of construction industry standards, and the promotion of sustainable development. The contribution of this study is twofold: (1) Theoretically, this paper provides technical evaluation indicators and guidelines for provincial and regional governments to cultivate model cities, plan industrial bases, etc. (2) In practice, it offers project-level appropriate technology system solutions for the technology application of assemblers in various regions. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-20 DOI: 10.1108/ECAM-01-2024-0049 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Vikas Mehta, Mohindra Singh Thakur Abstract: This study aims to enhance the precision and efficiency of English Bond brick masonry by developing three unified templates: Tc, T1, and T2. These templates are designed to address the complexities in the placement of bricks, particularly queen closers and brickbats, in English Bond patterns. The research introduces a unique numbering system integrated within each template to facilitate accurate brick placement. Template Tc is designed explicitly for corner masonry, while T1 and T2 are developed for linear masonry along the X and Y directions, respectively. The approach standardizes the bricklaying process, ensuring proper alignment and bricks overlap. Applying these templates significantly improves the efficiency and pace of English bond brick masonry. They simplify the construction process, reduce errors, and enhance the overall quality of masonry work. The study demonstrates that using these templates results in consistent and high-quality brickwork, surpassing traditional speed, efficiency, and accuracy methods. This study contributes a novel, systematic approach to bricklaying in English Bond masonry. The introduction of unified templates aids in skill acquisition for professionals and learners, ensuring flawless execution of masonry projects. This innovative approach holds great value in modern construction practices, promoting standardization and excellence in masonry work. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-19 DOI: 10.1108/ECAM-01-2024-0044 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Omid Kebriyaii, Ali Heidari, Mohammad Khalilzadeh, Dragan Pamucar Abstract: Integrating project scheduling and material ordering problems is vital in realistically estimating project cost and duration. Also, the quality level of materials is important as one of the key project success factors. In this paper, a three-objective mathematical model is presented for green project scheduling with materials ordering problems considering rental resources. The first objective is to minimize the total cost of the project site and logistics. The second objective is to minimize the environmental impacts of producing materials and the third objective is to maximize the total quality of materials. Since costs trigger several challenges in projects, cost constraints are considered in this model for the first time and also the cost of delay in supplying of materials by the suppliers has been deducted from the project costs. Subsequently, the model was implemented in a real case and solved by the Lagrangian Relaxation algorithm as an exact method on GAMS software for model validation. Based on sensitivity analysis of some parameters, the findings indicate that the cost constraint and lead time have considerable effects on the project duration. Also, integrating project scheduling and material ordering improves the robustness of the project schedule. The primary contributions of the present research can be stated as follows: considering the cost constraints in the project scheduling with material ordering problem, incorporating the rental resources and taking the quality levels of materials as well as the environmental impacts into account. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-18 DOI: 10.1108/ECAM-01-2024-0004 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Jinting Huang, Ankang Ji, Zhonghua Xiao, Limao Zhang Abstract: The paper aims to develop a useful tool that can reliably and accurately find the critical paths of high-rise buildings and provide optimal solutions considering the uncertainty based on Monte Carlo simulation (MCS) to enhance project implementation performance by assisting site workers and project managers in high-rise building engineering. This research proposes an approach integrating the improved nondominated sorting genetic algorithm II (NSGA-II) considering uncertainty and delay scenarios simulated by MCS with the technique for order preference by similarity to an ideal solution. The results demonstrate that the proposed approach is capable of generating optimal solutions, which can improve the construction performance of high-rise buildings and guide the implementation management for shortening building engineering project schedule and cost under the delay conditions. In this study, only the construction data of the two floors was focused due to the project at the construction stage, and future work can analyze the whole construction stage of the high-rise building to examine the performance of the approach, and the multi-objective optimization (MOO) only considered two factors as objectives, where more objectives, such as schedule, cost and quality, can be expanded in future. The approach proposed in this research can be successfully applied to the construction process of high-rise buildings, which can be a guidance basis for optimizing the performance of high-rise building construction. The innovations and advantages derived from the proposed approach underline its capability to handle project construction scheduling optimization (CSO) problems with different performance objectives under uncertainty and delay conditions. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-18 DOI: 10.1108/ECAM-12-2023-1217 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Guodong Ni, Yaqi Fang, Xinyue Miao, Yaning Qiao, Wenshun Wang, Jian Xuan Abstract: This study aims to provide a new perspective and path to reduce the unsafe behavior of new generation of construction workers (NGCWs) in China. The purpose of this study is to explore the influencing mechanism of work-family balance on the unsafe behavior of NGCWs and test the mediating effect of job satisfaction and the moderating effect of group safety climate. A theoretical model on the influencing mechanism of work-family balance on unsafe behavior of NGCWs was constructed through theoretical analysis. Research data were collected from 502 NGCWs via a questionnaire survey, and research hypotheses were testified with regression analysis. The results show that work-family balance not only directly reduces NGCWs’ unsafe behavior but also indirectly reduces it through job satisfaction, which plays a partial mediating role. In addition to positively moderating the relationship between work-family balance and NGCWs’ unsafe behavior, group safety climate can also moderate the relationship between work-family balance and job satisfaction in a positive way. This study provides practical implications for construction companies to reduce the unsafe behaviors of NGCWs from the perspective of work-family balance. Specifically, construction companies should adopt more flexible work rules, such as flexible organization and rotation systems, to increase their work autonomy. Meanwhile, construction companies need to improve the work environment and basic conditions for NGCWs, establish a reasonable salary system and provide attractive promotion opportunities to increase their job satisfaction. In addition, construction companies should provide active safety lectures and training, and supervisors should improve safety communication and interaction levels. Co-workers should remind workers about their safety attitudes and behaviors promptly. A good group safety climate will be created through the efforts of construction companies, supervisors and co-workers. This study clarifies the influencing mechanism of work-family balance on the NGCWs’ unsafe behavior and further tests the partial mediating role of job satisfaction and the positively moderating effect of group safety climate on the influence relationship of work-family balance on job satisfaction and NGCWs’ unsafe behavior, which defines the boundary conditions of the relationship between work-family balance and NGCWs’ unsafe behavior, and promotes the effective integration of social exchange theory and theoretical system of influencing mechanism of construction workers’ unsafe behavior. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-14 DOI: 10.1108/ECAM-09-2023-0966 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Long Li, Haiying Luan, Mengqi Yuan, Ruiyan Zheng Abstract: As the scale of mega transportation infrastructure projects (MTIs) continues to expand, the complexity of engineering construction sharply increases and decision-making sustainability faces severe challenges. Decision-making for mega transportation infrastructure projects unveils the knowledge-intensive characteristic, requiring collaborative decisions by cross-domain decision-makers. However, the exploration of heterogeneous knowledge fusion-driven decision-making problems is limited. This study aims to improve the deficiencies of existing decision-making by constructing a knowledge fusion-driven multi-attribute group decision model under fuzzy context to improve the sustainability of MTIs decision-making. This study utilizes intuitionistic fuzzy information to handle uncertain information; calculates decision-makers and indicators weights by hesitation, fuzziness and intuitionistic fuzzy entropy; applies the intuitionistic fuzzy weighted averaging (IFWA) operator to fuse knowledge and uses consensus to measure the level of knowledge fusion. Finally, a calculation example is given to verify the rationality and effectiveness of the model. This research finally constructs a two-level decision model driven by knowledge fusion, which alleviates the uncertainty and fuzziness of decision knowledge, promotes knowledge fusion among cross-domain decision-makers and can be effectively applied in practical applications. This study provides an effective decision-making model for mega transportation infrastructure projects and guides policymakers. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-14 DOI: 10.1108/ECAM-08-2023-0817 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Erfan Anjomshoa Abstract: Nowadays, designing environmentally compatible buildings with acceptable performance in terms of cost, materials, and energy efficiency is considered crucial for developing sustainable cities. This research aims to identify and rank the most influential factors in the application of Building Information Modeling (BIM) systems in the smartification of green and sustainable buildings. The present research is applied and descriptive. In this study, we identified the most influential factors in the application of Building Information Modeling (BIM) systems through library studies and expert opinions. Data were collected using a questionnaire, and a combination of the one-sample t-test method with a 95% confidence level and the fuzzy VIKOR method was employed for analysis. The results show that the most influential factors in the application of Building Information Modeling (BIM) systems in the Smartification of green and sustainable buildings, in order, are: “Energy saving and consumption reduction,” “Increased productivity and efficiency,” “Life-cycle assessment (LCA),” “Eco-friendly design,” “Integration with IoT and other technologies.” In this study, while addressing the intersection of BIM technology, green building principles, and smart building objectives to optimize the performance of buildings during their life cycle, the most influential factors in the use of this system were ranked based on the criteria of “impact level,” “importance level,” and “availability of necessary tools” for implementation in Kerman. Moreover, solutions for more effectively utilizing this system in the smartification of green and intelligent buildings were proposed. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-11 DOI: 10.1108/ECAM-03-2024-0291 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Janshid Ali Turi, Sami Al Kharusi, Muddasar Ghani Khwaja, Mohammad Rezaur Razzak, Shahid Bashir Abstract: This study aims to investigate the influence of requirement engineering (RE) on project performance (PP) in the context of NEOM* in Saudi Arabia. The study also aims to examine the relationship between three components of RE, evolving market needs (ECN), market changes (MC) and technological advancements (TA), on PP, through the mediating influence of effective communication (EC), change readiness (CR) and stakeholder engagement (SE). Further, the study aims to examine the moderating effect of team cohesion (TC) on the RE–PP relationships. A research framework is developed by drawing on the resource-based theory and with the support of empirical evidence and rational arguments to propose a set of hypotheses relating to the constructs in the framework. The hypotheses are tested through survey data collected from individual employees working on different projects across NEOM. A total of 336 useable responses were collected that were analyzed through covariance-based structural equation modeling using AMOS v.28. The results show although ECN and TA both have a positive impact on PP, MC had no significant relationship with PP. In terms of the mediation hypotheses, EC, CR and SE all partially mediate the relationships between ECN and TA with PP. However, there was no mediating effect in the relationship between MC and PP. Moreover, EC, CR and SE themselves have a significant positive influence on PP. Finally, TC proved to be a significant moderator between ECN and PP and TA and PP, but not in the case of MC and PP. This study makes three novel contributions. First, most prior empirical studies examined the overall impact of RE on PP; however, the current study provides a more nuanced insight into the relationships between the three components of RE (i.e. ECN, MC and TA) and PP. Second, the mediating roles of EC, CR and SE between components of RE and PP present a finer-grained understanding of how project resources are linked to project success goals through features of the project team. Third, moderating influence of TC with regard to a higher possibility of success for projects are highlighted through this discovery. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-11 DOI: 10.1108/ECAM-12-2023-1273 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xueqing Gan, Jianyao Jia, Yun Le, Tingting Liu, Yutong Xue Abstract: Relationship conflict between the owners and contractors is inevitable, which could induce negative consequences. Yet, the existing literature mostly focused on its direct effects on project performance and ignored the process by which relationship conflict gradually deteriorates cooperation as well as corresponding managerial approaches. Given the fact that relationship conflict originates from interdependent tasks, the proposed theoretical model is intended to measure relational behavior as an instant outcome of relationship conflict, and explore the buffering role of contract enforcement approach. This paper develops the conceptual model based on the literature review. Then the questionnaire survey was conducted. The dyadic data obtained from 168 Chinese construction project professionals were analyzed by the Partial Least squares Structural Equation Modeling (PLS-SEM) technique. The results show that relational behavior partially mediates the link between relationship conflict and project performance. Besides, three types of contract enforcement approaches are found to differentially change the negative link between relationship conflict and relational behavior. Rigid contract enforcement can worsen the adverse effects of relationship conflict on relational behavior, whereas flexible contract enforcement can alleviate these negative effects. The level of mitigation hinges on whether compromising behaviors or obliging behaviors are chosen. The study extends the knowledge of conflict theory and contract theory in the construction field. Based on the proposed conceptual model and PLS-SEM results, this study contributes to the understanding of relationship conflict’s consequences between the owners and contractors and enriches conflict management approaches in the construction field. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-07 DOI: 10.1108/ECAM-02-2024-0208 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Zhenshuang Wang, Yanxin Zhou, Tao Wang, Ning Zhao Abstract: Reducing construction waste generation and carbon emission in the construction industry is crucial for the “dual carbon” goal. Evaluating the efficiency of reducing construction waste generation and carbon emission in the construction industry at the regional level is an important evaluation basis for the sustainable development of the construction industry. It provides a basis for formulating construction waste and carbon reduction policies tailored to local conditions and comprehensively promote the sustainable development of the construction industry. A three stage SBM-DEA model based on non-expected outputs is proposed by combining the SBM-DEA model with the SFA method. The proposed model is used to evaluate the efficiency of construction waste and carbon reduction in the construction industry in 30 regions of China from 2010 to 2020. Moreover, the study explores the impact of environmental variables such as urbanization level, proportion of construction industry employees, resident consumption level, and technological progress. From 2010 to 2020, the efficiency of construction waste and carbon reduction in China’s construction industry has been increasing year by year. Provinces with higher efficiency of construction waste and carbon reduction in the construction industry are mainly concentrated in the eastern coastal areas, showing an overall pattern of “East>West>Northeast>Middle”. There is a clear correlation between the level of urbanization, the proportion of construction industry employees, residents’ consumption level, technological progress, labor input, machinery input, and capital investment. The construction waste and carbon emission efficiency of the construction industry in various provinces is greatly influenced by environmental factors. The research results provide policy makers and business managers with effective policies for reducing construction waste generation and carbon emission in the construction industry, especially circular economy policies. To provide empirical support for further understanding the connotation of construction waste and carbon reduction in the construction industry, to create innovative models for construction waste and carbon reduction, and to promote the multiple benefits of construction waste and carbon reduction in the construction industry, and to provide empirical support for countries and enterprises with similar development backgrounds in China to formulate relevant policies and decision-making. The construction industry is a high investment, high energy consumption, and high pollution industry. This study uses the three stage SBM-DEA model to explore the efficiency of construction waste and carbon reduction in the construction industry, providing a new perspective for the evaluation of sustainable development in the construction industry, enriching and improving the theory of sustainable development. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-07 DOI: 10.1108/ECAM-10-2023-1088 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Milad Ghanbari, Asaad Azeez Jaber Olaikhan, Martin Skitmore Abstract: This study aims to develop a framework for the optimal selection of construction project portfolios for a construction holding company. The objective is to minimize risks, align the portfolio with the organization’s strategic objectives and maximize portfolio returns and net present value (NPV). The study develops a multi-objective genetic algorithm approach to optimize the portfolio selection process. The construction company’s portfolio is categorized into four main classes: water projects, building projects, road projects and healthcare projects. A mathematical model is developed, and a genetic algorithm is implemented using MATLAB software. Data from a construction holding company in Iraq, including budget and candidate projects, are used as a case study. The case study results show that out of the 34 candidate projects, 13 have been recommended for execution. These selected projects span different portfolio classes, such as water, building, road and healthcare projects. The total budget required for executing the selected projects is $64.55m, within the organization’s budget limit. The convergence diagram of the genetic algorithm indicates that the best solutions were achieved around generation 20 and further improved from generation 60 onwards. The study introduces a specialized framework for project portfolio management in the construction industry, focusing on risk management and strategic alignment. It uses a multi-objective genetic algorithm and risk analysis to minimize risks, increase returns and improve portfolio performance. The case study validates its practical applicability. This study contributes to project portfolio management by developing a framework specifically tailored for construction holding companies. Integrating a multi-objective genetic algorithm allows for a comprehensive optimization process, taking into account various objectives, including portfolio returns, NPV, risk reduction and strategic alignment. The case study application provides practical insights and validates the effectiveness of the proposed framework in a real-world setting. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-05 DOI: 10.1108/ECAM-05-2023-0532 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Tiew Si Yee Abstract: Education focused on the creation of a knowledge base but not on how to bring such knowledge into practice had caused graduate architects to encounter reality shock and fail to perform during building contract administration. Although the effect of performance barriers on competence development is empirically supported, less is known about the mechanisms that explain this effect. Overcoming barriers for graduate architects is crucial while supporting building contract administrators and acquiring professional qualifications. To address this issue, we propose the mediating role of CCA skills as a possible explanation of the relationship between performance barriers and competence development of graduate architects. A survey was conducted among graduate architects in Klang Valley. In total, one hundred and twenty-seven usable questionnaires were returned and analyzed using descriptive analysis and regression analysis. Mediation results indicate that performance barriers have a significant positive influence on competence development through CCA skills in claims and legal matters management, project management, communication and relationship management, quality assessment and management, and design management. The present study contributes to the construction contract administration literature by integrating performance barriers and the CCA skills model. This advances our understanding of performance barriers and CCA skills engendering competence development of graduate architects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-05 DOI: 10.1108/ECAM-09-2023-0928 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Tai Wai Kwok, SiWei Chang Abstract: Digital technology, which is regarded as a prominent and transformational force in modern society, encompasses a wide variety of technology that utilize digital data to process, store and transfer various types of information. Digital technologies have continually been introduced as cutting-edge information tools in order to achieve effective management of vast information that arises from the prefabrication supply chain. However, without a sufficient performance evaluation, drawbacks of technology investment, such as financial losses and ineffective resource allocation, keep occurring, which hinders the widespread implementation of digital technologies. This study demonstrates a comprehensive evaluation of digital technologies’ effects on the prefabrication supply chain based on multi-criteria decision analysis (MCDA) theory. Specifically, the targeted digital technologies and project constraints were first identified through a systematic literature review. The effects of the digital technologies were then scored using a questionnaire survey. The TOPSIS model was established to quantitatively rank the effectiveness of selected digital technologies. Overall, BIM technology shone out in the rankings and is regarded as the most beneficial digital solution by multi-stakeholders to the existing constraints, such as working efficiency. Collaboration patterns between different stakeholders and technology integration trend were also indicated. Compared with existing outcomes, this study specifically focused on examining the effects of digital technologies on the prefabrication supply chain, the most significant link in the process for prefabricated structures. New findings indicate the overall performance that considered both multi-stakeholders’ preferences and project constraints. The quantitative evaluation presents a comprehensive understanding of digital technologies’ effects, enabling industrial participants to reach well-informed, strategic and profitable investment decisions. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-04 DOI: 10.1108/ECAM-01-2024-0010 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Caiyun Cui, Tingyu Xie, Yong Liu, Meng Liu, Huan Cao, Huilian Li Abstract: This paper aims to explore the influencing factors of public perceived efficacy of emergency infrastructure projects based on the triadic interactive determinism, and analyze the relationship among these factors. Based on the triadic interactive determinism, we explored the factors influencing public perceived efficacy of emergency infrastructure project and empirically verified the relationship among these factors and perceived efficacy by using data drawn from a questionnaire survey of 491 residents near Leishenshan Hospital, Jiangxia District, Wuhan, China. Prior experience, emotional response, personal expectation, public trust, context message and interactivity level, namely behavior, individual and environment, affect the perceived efficacy of public emergency infrastructure projects. The results offer an insight into public perceived efficacy of emergency infrastructure project from the perspective of antecedents in a triadic reciprocal determinism, which provides a reference basis for the sustainable development of the emergency infrastructure projects. This study also suggests valuable practical implications to government departments to improve the quality of administrative decision-making effectively. Although existing studies have found some influencing factors of public perceived efficacy in general infrastructure, there is still a lack of systematic carding and quantitative description of influencing factors of public perceived efficacy of emergency infrastructure projects. This study bridges this gap by exploring the determinants and their influencing relationship of public perceived efficacy especially for emergency infrastructure projects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-04 DOI: 10.1108/ECAM-05-2023-0453 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Liangguo Kang Abstract: The fluctuation of construction fatalities is influenced by both urbanization and economic levels. This study aims to understand the impact of Chinese construction economy development on construction accidents, providing valuable insights for enhancing construction safety and promoting sustainable development in construction. The Kuznets curve model, multiple linear regression model, and data envelopment analysis (DEA) model are employed to process data sets spanning from 1992 to 2021 for examining the relationship between construction fatalities and the construction economy in China. Significant correlations have been found between construction fatalities and the construction economy in China. Over the past three decades, as the total output value of construction increased, there have been upward, downward, and downward trends in per capita construction area, the mortality rate per million square meters, and the mortality rate per ten thousand persons respectively. However, it is worth noting that since 2015, there has been a slight upward trend in the fitted U-shaped curve depicting the relationship between the mortality rate per ten thousand persons and the construction economy. This specific trend necessitates the attention of construction safety policymakers. The growth of the construction economy is found to exhibit negative, positive, and positive correlations with the number of construction fatalities, construction area, and the number of employed persons respectively. The changing trends observed in the Kuznets curve model analysis align with the evaluation results obtained from the DEA-based model. The research offers effective means to identify superior and inferior performance in macro construction safety, providing valuable references for construction safety policymakers to design effective safety strategies and enhance work safety conditions. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-03 DOI: 10.1108/ECAM-09-2023-0920 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Pengcheng Xiang, Simai Yang, Yongqi Yuan, Ranyang Li Abstract: The purpose of this paper is to develop a comprehensive understanding of the public safety risks of international construction projects (ICPs) from the perspective of threat and vulnerability. A novel and comprehensive risk assessment approach is developed from a systemic perspective and applied to the Belt and Road Initiative (BRI) to improve the public safety risk management strategy for ICPs in BRI. First, a public safety risk indicator system was constructed from the two dimensions, namely threat and vulnerability. Next, an integrated measurement model was constructed by combining the Genetic Algorithm-Backpropagation (GA-BP) neural network, fuzzy comprehensive evaluation method and matter-element extension (MME) method. Data from 49 countries involved in the BRI, as well as five typical projects, were used to validate the model. Finally, targeted risk prevention measures were identified for use at the national, enterprise and project levels. The findings indicate that while the vulnerability risks of typical projects in each region of the BRI were generally low, threat risks were high in West Asia and North Africa, Commonwealth of Independent States (CIS) countries and South Asia. First, the structure of the public safety risk system of ICPs was analyzed using vulnerability and system theories. The connotation of public safety risk was defined based on two dimensions, namely threat and vulnerability. The idea of measuring threat risk with public data and measuring vulnerability risk with project data was clarified, and the risk measurement was integrated into the measurement results to help researchers and managers understand and systematically consider the public safety risks of ICPs. Second, a public safety risk indicator system was constructed, including 18 threat risk indicators and 14 vulnerability risk indicators to address the gaps in the existing research. The MEE model was employed to overcome the problem of incompatible indicator systems and provide stable and credible integrated measurement results. Finally, the whole-process public safety risk management scheme designed in this study can help to both provide a reference point for the Chinese enterprises and oversea contractors in market selection as well as improve ICP public safety risk management. Citation: Engineering, Construction and Architectural Management PubDate: 2024-06-03 DOI: 10.1108/ECAM-11-2023-1102 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Fanfan Meng, Xinying Cao Abstract: This study establishes an ontology-based framework for rework risk identification (RRI) by integrating heterogeneous data from the information flow of the prefabricated construction (PC) process. The main objective is to enhance the automation level of rework management and reduce the degree of reliance on human factors and manual operations. The proposed framework comprises four levels aimed at managing dispersed rework risk knowledge and integrating heterogeneous data. The functionalities were realised through an integrated ontology that aligned the rework risk ontology with the PC ontology. The ontologies were developed and edited with Protégé. Ultimately, the potential benefit of the framework was validated through a case study and an expert questionnaire survey. The framework is proven to effectively manage rework risk knowledge and can identify risk objects, clarify risk factors, determine risk events, and retrieve risk measures, thereby enabling the pre-identification of prefabricated rework risk (PRR) and improving the automation level. This study is meaningful and lays the foundation for the application of other computer methods in rework management research and practice in the future. This research provides insights into the application of ontology to solve rework risk issues in the PC process and introduces a novel risk management method for future prefabricated project research and practice. The findings have significant theoretical value in terms of enriching the methods of risk assessment and control and the information management system of prefabricated projects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-31 DOI: 10.1108/ECAM-06-2023-0645 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Kaiyang Wang, Fangyu Guo, Cheng Zhang, Jianli Hao, Zhitao Wang Abstract: The Internet of Things (IoT) offers substantial potential for improving efficiency and effectiveness in various applications, notably within the domain of smart construction. Despite its growing adoption within the Architecture, Engineering, and Construction (AEC) industry, its utilization remains limited. Despite efforts made by policymakers, the shift from traditional construction practices to smart construction poses significant challenges. Consequently, this study aims to explore, compare, and prioritize the determinants that impact the acceptance of the IoT among construction practitioners. Based on the integrated model of Unified Theory of Acceptance and Use of Technology (UTAUT2), Task-Technology Fit (TTF), and perceived risk. A cross-sectional survey was administered to 309 construction practitioners in China, and the collected data were analyzed using structural equation modeling (SEM) to test the proposed hypotheses. The findings indicate that TTF, performance expectancy, effort expectancy, hedonic motivation, facilitating conditions, and perceived risk exert significant influence on construction practitioners’ intention to adopt IoT. Conversely, social influence and habit exhibit no significant impact. Notably, the results unveil the moderating influence of gender on key relationships – specifically, performance expectancy, hedonic motivation, and habit – in relation to the behavioral intention to adopt IoT among construction practitioners. In general, the model explains 71% of the variance in the behavioral intention to adopt IoT, indicating that the independent constructs influenced 71% of practitioners’ intentions to use IoT. These findings provide both theoretical support and empirical evidence, offering valuable insights for stakeholders aiming to gain a deeper understanding of the critical factors influencing practitioners’ intention to adopt IoT. This knowledge equips them to formulate programs and strategies for promoting effective IoT implementation within the AEC field. This study contributes to the existing literature by affirming antecedents and uncovering moderators in IoT adoption. It enhances the existing theoretical frameworks by integrating UTAUT2, TTF, and perceived risk, thereby making a substantial contribution to the advancement of technology adoption research in the AEC sector. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-30 DOI: 10.1108/ECAM-05-2023-0482 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Cenk Budayan, Kerim Koc, Eralp Yüksel Erk, Onur Behzat Tokdemir Abstract: Many countries struggled to respond to the pandemic burden; in fact, most suffer from healthcare incapacity generally. Therefore, they need to find innovative systems to compensate for their deficiencies in dealing with current and future problems. One such goes down the public-private partnership (PPP) route. It is important to note, however, that PPP is not a magic wand, and some of these projects have been criticized for overruns that exceed the value created. Aiming to promote the value created in healthcare PPP projects, this study aims to identify factors and critical points related to their implementation. A two-stage literature review was conducted to shape semi-structured interviews. Based on this, the questions to be asked in the interviews were prepared. The interviews were conducted with twelve experts. The transcripts of the twelve semi-structured interviews were analyzed using manual thematic analysis to reveal the most critical value-creation factors (VCFs). The VFCs were validated by comparing them with the studies in the literature and by having focus group discussions (FGDs) with the experts. Finally, in an FGD, the experts discussed how these factors affect value creation in healthcare PPP projects. The findings show that VFCs can be categorized into four dimensions: assets, partnership synergy, cooperation environment and processes. Based on the frequency of codes during the thematic analysis, the most frequently addressed VFCs in each category were identified. These were complementary skills and resources, attitude, early establishment of the operational body and effective design development, respectively. This research contributes to both society and practice by unveiling VCFs and effective ways to achieve them in healthcare PPP projects. Thus, practitioners can generate more value and bring value to the forefront of healthcare PPPs, which can then enhance the value gained by society. Studies to date have offered little about VCFs and how to realize value in PPP projects by considering the factors involved in them. Moreover, value creation in PPP healthcare projects has largely remained unexplored, despite PPPs being adopted and investigated quite commonly. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-30 DOI: 10.1108/ECAM-07-2023-0759 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Si Yee Tiew Abstract: The administration of a contract by the architect is necessary to ensure the contract is performed according to the conditions of the contract, compliance with related laws and the practices of the construction industry. With the increasing number of housing projects and the limited number of registered architects in the nation, the architect is unable to be hands-on with every project. Hence, the involvement of graduate architects to reduce the workload in building contract administration (BCA) is required. The purpose of this paper is to develop a BCA framework for graduate architects to enhance their work performance in BCA work and to assist them in moving a step closer to acquiring their professional qualifications. This study adopted a qualitative method where seven housing projects in Malaysia were selected as case studies to conduct documentation reviews and semistructured interviews. The data collected was analyzed using content analysis to develop the BCA framework. Focus groups were used to validate the framework. This study summarized there are 5 themes (claims and legal matters management, project management, communication and relationship management, quality assessment and management, and design management) and 11 sub-themes (authority matters, building certification, meetings, coordination checklist, letter-writing, contract documentation, building material, design brief, building sustainability and workmanship quality standard, contractor’s submission and building details) that need to be improved by graduate architects in BCA work. The contribution of this study to the existing knowledge is the development of a BCA framework that enables graduate architects to get a glimpse of architectural professional practice in reality and better prepare them to confront and resolve problems. Besides, the proposed framework could be incorporated into a pedagogy focusing on methods to support construction contract administrators. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-27 DOI: 10.1108/ECAM-01-2024-0101 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ali Mohammad Mirzaee, Igor Martek Abstract: Optimal clean-up procedures lie at the heart of the closeout phase of construction projects under contract law. However, due to its complexity involving multiple issues, potentially unfulfilled contractual obligations, performance claims and counter-claims, combined with consequently deteriorating stakeholder relationships, the management of closeouts is fraught with difficulties leading to suboptimal outcomes. This is particularly true where general contractor (GC) organizations do not have a claims management office (CMO) dedicated to improving such suboptimal clean-up outcomes. Thus, this study aims to develop a model by which CMOs’ may effectively manage the clean-up phase in an environment of closeout claims. X-inefficiency theory was utilized as the theoretical lens guiding this study. The theory helps identify closeout strategies implemented by a GC, which manages completion claims through a CMO. Data were received and analyzed from a large GC, which served as the firm case study. In this case, managing the closeout completion claims was the main function of the CMO. The average delay of closeout completion was four times greater than construction phase delays. The GC results highlighted the “economic destruction tsunami of projects,” as a root cause for these completion delays. Wrap-up activities under contract law are identified, including within the domains of statements of completion, project handover and debt settlement. Behavior strategies are also defined, including relational and contractual approaches. Moreover, a process for improving closeout claim performance is described, comprising project closeout identification, rational intra-firm behavior, closeout completion and program closeout practice. Findings from this work can significantly contribute in X-inefficiency theory in relation to how a decrease of X-inefficiency will lead to better closeout claim performance. It also offers practical insights into how best to minimize delayed closeout completion while providing valuable lessons for stakeholders in complex infrastructure projects. Further, a model is developed that may be utilized by owners, consultancies, designers and other contractor organizations in an effort to improve closeout claim performance. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-24 DOI: 10.1108/ECAM-11-2023-1161 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Tiantian Gu, Enyang Hao, Lei Zhang Abstract: Smart community construction (SCC) and efficiency require resident participation. This paper aims to explore the determinants of residents’ participation intention (RPI) in the SCC. Based on the theory of planned behavior (TPB), this study proposed an extended conceptual model to deeply analyze the RPI in the SCC. The relationship between all constructs was verified by processing and analyzing online survey data using confirmatory factor analysis (CFA), structural equation model (SEM), and bootstrapping method. Participation attitude, perceived behavioral control, subjective norm, and perceived usefulness significantly and positively affected the RPI. Furthermore, intermediary effects in the extended conceptual model had been confirmed. To fill the critical gap in the research on the determinants of the RPI in the SCC context, this study developed a novel conceptual model by extending the TPB to analyze the effects of self-driven and externally-driven factors on the RPI from the perspectives of residents’ psychology and external environment. The findings not only clarify the complex process of forming the RPI in the SCC but also provide a theoretical foundation for studying the RPI in similar community construction projects. Additionally, several strategies have been proposed to encourage residents’ participation in the SCC and promote the development of smart communities, such as clarifying residents’ participation obligations, improving the convenience services of smart communities, and diversifying residents’ participation approaches. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-23 DOI: 10.1108/ECAM-03-2023-0247 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yewei Ouyang, Guoqing Huang, Shiyi He Abstract: Safety warnings remind construction workers about dangers and guide them to take necessary actions to avoid potential injuries, which could encourage their safe behavior. Workers’ behavior compliance with the safety warnings would be impacted by the risk perception levels induced by the warnings. This study aims to examine whether the design of safety warnings would impact the induced risk perception of workers This study compared the risk perception levels of construction workers when processing two forms of safety warnings, i.e., safety signs and safety comics, which are commonly used in construction workplaces. Construction workers (n = 20) volunteered for an experiment with an implicit paradigm to probe how they perceive these safety warnings, using event-related potentials (ERPs) features collected by an electroencephalogram (EEG) sensor to indicate the risk perception level The results demonstrated that the design of safety warnings would impact the induced risk perception. The safety signs and safety comics performed differently in inducing the workers’ risk perception. The safety signs representing prohibition and caution warnings induced significantly higher risk perception than the comics, and there were no significant differences regarding direction warnings This is the first study to compare the risk perception levels between various forms of safety warnings presenting safety information in different ways. The findings would help to expand the knowledge of the relationship between the design of safety warnings and workers’ safety behavioral compliance Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-21 DOI: 10.1108/ECAM-01-2024-0077 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Neda Kiani Mavi, Kerry Brown, Richard Glenn Fulford, Mark Goh Abstract: The global construction industry has a history of poor project success, with evident and frequent overruns in cost and schedule. This industry is a highly interconnected and complex system in which the components, i.e. suppliers, contractors, end-users, and stakeholders, are delicately linked to each other, the community, and the environment. Therefore, defining and measuring project success can be challenging for sponsors, contractors, and the public. To address this issue, this study develops and analyzes a more comprehensive set of success criteria for medium and large construction projects. After reviewing the existing literature, this study identified 19 success criteria for medium and large construction projects, which were categorized into five groups. The fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) method was used to gain further insight into the interrelationships between these categories and explain the cause-and-effect relationships among them. Next, this study applied the modified logarithmic least squares method to determine the importance weight of these criteria using the fuzzy analytic hierarchy process. 28 project managers working in the construction industries in Australia and New Zealand participated in this study. Results suggest that “project efficiency” and “impacts on the project team” are cause criteria that affect “business success,” “impacts on stakeholders,” and “impacts on end-users.” Effective risk management emerged as the most crucial criterion in project efficiency, while customer satisfaction and return on investment are top criteria in “impacts on end-users” and “business success.” Although numerous studies have been conducted on project success criteria, multicriteria analyses of success criteria are rare. This paper presents a comprehensive set of success criteria tailored to medium and large construction projects. The aim is to analyze their interrelationships and prioritize them thoroughly, which will aid practitioners in focusing on the most important criteria for achieving higher success rates. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-21 DOI: 10.1108/ECAM-08-2023-0838 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xingmin Liu, Tongsheng Zhu, Yutong Xue, Ziqiang Huang, Yun Le Abstract: Carbon reduction in the construction supply chain can critically affect the construction industry’s transition to an environmentally sustainable one. However, implementing carbon reduction in all parties is restricted because of the poor understanding of the drivers influencing the low-carbon construction supply chain (LCCSC). The purpose of this paper is to systematically identify the drivers of LCCSC, analyze their causality, and prioritize the importance of their management. A decision-making analysis process was developed using an integrated decision-making trial and evaluation laboratory (DEMATEL)–analytical network process (ANP). First, the hierarchical drivers of the LCCSC were identified through a literature review. The DEMATEL method was subsequently applied to analyze the interactions between the drivers, including the direction and strength of impact. Finally, the ANP analysis was used to obtain the drivers’ weights; consequently, their priorities were established. Various factors with complex interactions drive LCCSC. With respect to their influence relationships, incentive policy, regulatory policy, consumers’ low-carbon preference, market competition, supply chain performance, and managers’ low-carbon awareness have more significant center degrees and are cause drivers. Their strong correlations and influence on other drivers should be noticed. In terms of weights in the driver system, regulatory policy, consumers’ low-carbon preference, supply chain performance, and incentive policy are the key drivers of LCCSC and require primary attention. Other drivers, such as supply chain collaboration, employee motivation, and public participation, play a minor driving role with less management priority. Despite some contributing studies with localized perspectives, the systematic analysis of LCCSC drivers is limited, especially considering their intricate interactions. This paper establishes the LCCSC driver system, explores the influence relationships among the drivers, and determines the key drivers. Hence, it contributes to the sustainable construction supply chain domain by enabling decision-makers and practitioners to systematically understand the drivers of LCCSC and gain management implications on priority issues with limited resources. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-21 DOI: 10.1108/ECAM-09-2023-0965 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Jianyao Jia, Ming Wu Abstract: Mobile messaging groups (MMGs) have been widely adopted in construction practice, yet, little is known about how to foster knowledge sharing (KS) in MMGs, characterized by communication visibility. This study is thus motivated to investigate mechanisms for KS in this context. The paper employs knowledge governance theory to construct a theoretical model and develop hypotheses. Specifically, psychological safety is identified as a mediator between knowledge governance mechanism (KGM) and KS, and promotion regulatory focus is identified as a moderator between KGM and psychological safety. Data from 208 Chinese construction project team members are collected to test the proposed theoretical model. The results suggest that both formal and informal KGM positively affect psychological safety, which in turn improves KS (quantity and quality). Moreover, the mediating role of psychological safety is confirmed, and the moderating role of promotion regulatory focus is validated. This study explores how to foster KS in MMGs, which are pervasive in today’s digital age. The findings in this study enhance the understanding of KS in digital environments and afford important insights into knowledge management within construction project teams. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-21 DOI: 10.1108/ECAM-10-2023-1003 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Janappriya Jayawardana, Malindu Sandanayake, Supun Jayasinghe, Asela Kulatunga, Guomin Zhang Abstract: The present study aims to identify significant barriers to adopting prefabricated construction (PFC) in developing economies using a study in Sri Lanka and develop an integrated strategy framework to mitigate and overcome the obstacles. The research process included a comprehensive literature review, a pilot study, a questionnaire survey for data collection, statistical analysis and a qualitative content analysis. Ranking method revealed that all 23 barriers were significant. Top significant barriers include challenges in prefabricated component transportation, high capital investment costs and lack of awareness of the benefits of PFC among owners/developers. Factor analysis clustered six barrier categories (BCs) that fit the barrier factors, explaining 71.22% of the cumulative variance. Fuzzy synthetic evaluation revealed that all BCs significantly influence PFC adoption in Sri Lanka. Finally, the proposed mitigation strategies were mapped with barriers to complete the integrated framework. The study outcomes are relevant to construction industry stakeholders of Sri Lanka, who are keen to enhance construction efficiencies. The implications can also benefit construction industry stakeholders and policymakers to formulate policies and regulations and identify mitigation solutions. The study provides deeper insights into the challenges to adopting prefabrication in South Asian countries such as Sri Lanka. Furthermore, the integrated framework is a novel contribution that can be used to derive actions to mitigate barriers in developing economies. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-20 DOI: 10.1108/ECAM-09-2023-0978 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xiaoyan Chen, Weina Zhu, Yajiao Chen, Qinghua He Abstract: The development and evolution of stakeholder collaborative innovation in megaprojects is impacted by various influencing factors. The effect of influencing factors on collaborative innovation performance (CIP) in megaprojects is not a simplistic linear relationship but an iterative and non-linear relationship that requires a dynamic perspective to analyze. Therefore, this paper adopts the system dynamic (SD) approach to investigate the dynamic and interactive relationships between the CIP and the influencing factors. The study first develops a research framework with the system boundary of “CIP system – organizational collaboration subsystem – knowledge collaboration subsystem – strategic collaboration subsystem”. Then, the causal relationship model, the stock-flow model, and the mathematical equations were determined based on the literature review and the expert interviews. Finally, five performance improvement scenarios were designed according to the practice context of CIP in megaprojects, and simulations were performed using the Vensim PLE software to investigate the CIP from a dynamic perspective. The findings reveal that the effect of different influencing factors on CIP grows non-linearly, with the cumulative effect becoming more pronounced as time advances. The incentive mechanism has the most significant effect, and the combined effect of multiple influencing factors has a highly significant facilitating effect on improving CIP. Strategic collaboration, organizational collaboration and knowledge collaboration are mutually conditional and reinforcing with each other, which ultimately promotes the improvement of CIP. This study uncovers the inherent pattern and the interactive dynamic mechanism of factors for improving CIP in the context of megaprojects. It enriches the theoretical research in the area of collaborative innovation in megaprojects and provides practical management strategies for improving CIP. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-17 DOI: 10.1108/ECAM-07-2023-0738 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Meng-Nan Li, Xueqing Wang, Ruo-Xing Cheng, Yuan Chen Abstract: Currently, engineering project design lacks a design framework that fully combines subjective experience and objective data. This study develops an aided design decision-making framework to automatically output the optimal design alternative for engineering projects in a more efficient and objective mode, which synthesizes the design experience. A database of design components is first constructed to facilitate the retrieval of data and the design alternative screening algorithm is proposed to automatically select all feasible design alternatives. Then back propagation (BP) neural network algorithm is introduced to predict the cost of all feasible design alternatives. Based on the gray relational degree-particle swarm optimization (GRD-PSO) algorithm, the optimal design alternative can be selected considering multiple objectives. The case study shows that the BP neural network-cost prediction algorithm can well predict the cost of design alternatives, and the framework can be widely used at the design stage of most engineering projects. Design components with low sensitivity to design objectives have been obtained, allowing for the consideration of disregarding their impacts on design objectives in such situations requiring rapid decisions. Meanwhile, design components with high sensitivity to design objective weights have also been obtained, drawing special attention to the effects of changes in the importance of design objectives on the selection of these components. Simultaneously, the framework can be flexibly adjusted to different design objectives and identify key design components, providing decision reference for designers. The framework proposed in this paper contributes to the knowledge of design decision-making by emphasizing the importance of combining objective data and subjective experience, whose significance is ignored in the existing literature. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-17 DOI: 10.1108/ECAM-02-2024-0154 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Alex Acheampong, Elvis Konadu Adjei, Anita Adade-Boateng, Victor Karikari Acheamfour, Aba Essanowa Afful, Evans Boateng Abstract: An understanding of the impact of construction workers informal safety communication (CWISC), a form of parallel safety communication between workers, on safety performance among construction workers is crucial in order to develop effective strategies for improving safety performance in the construction industry. However, research remains scant on the impact of CWISC on safety performance. This study empirically aims to test the relationship between these important constructs. Statistical analysis was used to examine the relationship in a hypothetical model with two latent variables; the exogenous variables represented by two groups of informal safety communication: friends and crew members and the endogenous variables represented by two groups of Safety performance metrics: safety compliance and safety participation, was tested. The emergent findings revealed that there is a significant relationship between informal safety communication among crew members and safety compliance, and also between informal safety communication among friends on construction sites and safety participation. These findings emphasize the importance of fostering effective safety communication and collaboration within construction crews, as well as recognizing the influence friendships on safety performance. Stakeholders can leverage on these findings to implement policies to improve safety performance. The study presents insightful practical knowledge on how CWISC impacts safety performance on construction sites. Practical recommendations for organizations are also proposed, e.g., development of team-building activities, platforms for sharing safety-related information and experiences, mentorship programs and initiatives that encourage social interaction among workers. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-17 DOI: 10.1108/ECAM-09-2023-0906 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Haize Pan, Bingfeng Yang, Yongwei Pan, Zhenhua Luo Abstract: As an effective measure for reducing energy consumption and achieving carbon neutrality, prefabricated building projects (PBPs) have attracted considerable attention in China. Although the Chinese Government has vigorously promoted PBPs, neither developers nor consumers have high recognition of PBPs. This study aimed to explore the decision-making behaviour of governments, developers and consumers in promoting the development of prefabricated buildings in China and to better optimise the incentive strategies for prefabricated buildings in China. Based on prospect and evolutionary game theories, an evolutionary game model of three stakeholders in the development of PBPs – government, developers and consumers – was constructed. Combined with the system dynamics theory, the incentive policy behaviour and influencing factors of the three parties in the evolutionary game model were analysed. The results showed that the initial probability of the three parties affects the decision-making behaviour of each party and that of other stakeholders. Government subsidies to developers are more sensitive than developers themselves. There is a certain threshold for the scope of government subsidies to consumers, and exceeding this threshold does not promote the development of PBPs. Based on the results, policy recommendations to the government, developers and consumers were proposed to enhance PBP development. This study provides suggestions for governments to formulate reasonable incentive policies for prefabricated buildings and a specific theoretical basis for the sound development of prefabricated buildings. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-15 DOI: 10.1108/ECAM-10-2023-1031 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Weiling Jiang, Jie Jiang, Igor Martek, Wen Jiang Abstract: The success of public–private partnership (PPP) projects is highly correlated to the successful management of risks encountered during the operation phase. PPP projects are especially exposed to risk due to the long operation period over which revenues need to be generated to recoup substantial initial investment and operational running costs. Despite the critical impact of risk exposure, limited research has been specifically undertaken on the matter of operational risk management. This study seeks to address this oversight by identifying and evaluating operational risk management strategies for PPPs. Vulnerability theory is the theoretical lens used, with context drawn from Chinese PPP projects. Based on the data collected from expert interviews and questionnaires, 28 operational risk management strategies are identified. A fuzzy synthetic method is employed to analyze the effectiveness of the 28 strategies. The findings reveal that providing an exit mechanism clause into the contract, establishing a comprehensive performance evaluation mechanism and developing a clear compensation mechanism are the top three effective strategies. This study also reveals that risk mitigation approaches that reduce vulnerability prove more effective than attempts to reduce external threats. Specifically, strategies aimed at managing contract, political, technical and financial risk are the most effective. The findings of this study extend current knowledge regarding the risk management of PPP projects. They also offer a reference by which practitioners may select effective operational risk management pathways and thereby, galvanize the sustainable development of PPPs. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-14 DOI: 10.1108/ECAM-12-2023-1292 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Vu Hong Son Pham, Nghiep Trinh Nguyen Dang, Nguyen Van Nam Abstract: For successful management of construction projects, a precise analysis of the balance between time and cost is imperative to attain the most effective results. The aim of this study is to present an innovative approach tailored to tackle the challenges posed by time-cost trade-off (TCTO) problems. This objective is achieved through the integration of the multi-verse optimizer (MVO) with opposition-based learning (OBL), thereby introducing a groundbreaking methodology in the field. The paper aims to develop a new hybrid meta-heuristic algorithm. This is achieved by integrating the MVO with OBL, thereby forming the iMVO algorithm. The integration enhances the optimization capabilities of the algorithm, notably in terms of exploration and exploitation. Consequently, this results in expedited convergence and yields more accurate solutions. The efficacy of the iMVO algorithm will be evaluated through its application to four different TCTO problems. These problems vary in scale – small, medium and large – and include real-life case studies that possess complex relationships. The efficacy of the proposed methodology is evaluated by examining TCTO problems, encompassing 18, 29, 69 and 290 activities, respectively. Results indicate that the iMVO provides competitive solutions for TCTO problems in construction projects. It is observed that the algorithm surpasses previous algorithms in terms of both mean deviation percentage (MD) and average running time (ART). This research represents a significant advancement in the field of meta-heuristic algorithms, particularly in their application to managing TCTO in construction projects. It is noteworthy for being among the few studies that integrate the MVO with OBL for the management of TCTO in construction projects characterized by complex relationships. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-13 DOI: 10.1108/ECAM-07-2023-0672 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Qianqian Ju, Yan Wang, Hui Liu, Xiaoyun Du, Yifei Li Abstract: Stakeholders in complex capital projects are characterized by complicated interactions, adversarial short-term relationships and cooperative demand for deliverables. Unhealthy interfaces between stakeholders often lead to significant interface conflicts, which gradually become apparent in the construction stage. However, stakeholder interface health (SIH) has not been well understood and measured in the construction industry by either scholars or practitioners. It is essential to identify unhealthy interface relationships between stakeholders by comprehensively assessing SIH for enhancing project performance. The study provided a comprehensive framework to assess SIH. The assessment was based on Wuli-Shili-Renli theory. Moreover, the CRITIC and Grey-TOPSIS methodologies were applied to precisely evaluate the SIH level. Besides, graph-based interface networks were developed to visualize SIH. At last, the framework was applied to a mass rapid transit project in China to test the validity of the study. The result showed that stakeholder interfaces with strict contract constraints are healthier. On the other hand, IM behaviors make up for the soft coordination mechanism without contract constraints to a certain extent. The results of the case study were consistent with the actual project practices. The proposed framework provided a useful IM tool for assessing and visualizing SIH. The limitation of this study is that only the mass rapid transit project was selected for empirical analysis to validate the effectiveness of the proposed framework. It is recommended that the proposed framework be applied to other types of complex capital projects to further discussions in IM. Theoretically, this study introduces a comprehensive framework to measure the health of stakeholder interfaces in complex capital projects, which helps to provide a theoretical basis and methodological support for stakeholder interface management. Practically, applying SIH assessment to existing interface management procedures can help the project manager identify interface conflicts between stakeholders in time and eventually contribute to the improvement of PM performance. At the same time, the interface management team tracks the responsibilities of unhealthy interface stakeholders and requires them to take measures to improve the SIH level. Stakeholder interfaces with lower health scores should be given more attention. The proposed framework can serve as a novel IM approach to identify weaknesses in IM and take targeted management measures to alleviate unhealthy stakeholder interface relationships. The study provides an innovative method for scientifically and accurately assessing SIH. This research can help scholars and practitioners in the project management field facilitate the diagnosis of unhealthy interface relationships and provide decision support for the project management theoretical foundation. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-10 DOI: 10.1108/ECAM-07-2023-0684 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Haonan Qi, Zhipeng Zhou, Javier Irizarry, Xiaopeng Deng, Yifan Yang, Nan Li, Jianliang Zhou Abstract: This study aims to modify the human factors analysis and classification system (HFACS) to make it suitable for collapse accident analysis in construction. Based upon the modified HFACS, distribution patterns of causal factors across multiple levels were discerned among causal factors of various stakeholders at construction sites. It explored the correlations between two causal factors from different levels and further determined causation paths from two perspectives of level and stakeholder. The main research framework consisted of data collection, coding and analysis. Collapse accident reports were collected with adequate causation information. The modified HFACS was utilized for coding causal factors across all five levels in each case. A hybrid approach with two perspectives of level and stakeholder was proposed for frequency analysis, correlation analysis and path identification between causal factors. Eight causal factors from external organizations at the fifth level were added to the original HFACS. Level-based correlation analyses and path identification provided safety managers with a holistic view of inter-connected causal factors across five levels. Stakeholder-based correlation analyses between causal factors from the fifth level and its non-adjacent levels were implemented based on client, government and third parties. These identified paths were useful for different stakeholders to develop specific safety plans for avoiding construction collapse accidents. This paper fulfils an identified need to modify and utilize the HFACS model for correlation analysis and path identification of causal factors resulting in collapse accidents, which can provide opportunities for tailoring preventive and protective measures at construction sites. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-07 DOI: 10.1108/ECAM-02-2023-0101 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:İsmail Cengiz Yılmaz, Hamdi Tekin Abstract: Migration is on the rise due to globalization and human mobility. This has led to increased impacts that have affected many industries, including the construction industry. A large number of migrants are employed in the construction sector, and employers are challenged to make sure all employees are properly integrated to meet the demands needed for construction projects. This article addresses key differences between migrant and native workers to help hiring departments in the construction industry analyse workers' attitudes based on cultural and motivational factors to have the workforce they need to succeed. The research used both quantitative and qualitative surveys. A two-part questionnaire, designed through a comprehensive literature review, was carried out to identify key differences between native and migrant workers. The data were obtained and then analysed using different statistical approaches, including factor analysis protocol, factor structure model, reliability analysis, relative importance index and nonparametric test analysis. A semi-structured interview was then conducted to discuss all the findings. The study indicated that migrant workers, compared to natives, tend to give more importance to their working environment, particularly accommodation, work safety and relations with teammates. Also, migrants typically take a socialistic approach instead of an individual approach while at work and reveal an extensive range of behaviours based on a sense of belonging. It might be more important for migrants to have a place in society, to have a settled life and to be integrated into an established order than to improve their rights and benefits. On the other hand, the study argued that native workers tend to prioritize their benefits at work, such as regular payments for overtime and insurance premiums. Their behaviours might carry a more neutral and individual attitude as well as specific cultural traces. The study is limited to a sample of participants in the Turkish construction sector. Further research based on more cultural models and motivational factors with a larger group of respondents from different countries could offer better results. The results of the study might not apply to a broad context due to many other factors that affect worker behaviours, such as geography, cultural structures and working conditions. Despite these drawbacks, the present paper may help employers and other stakeholders understand the best way to incorporate migrants into the construction industry. This research is very important for the construction industry in various countries that are currently employing thousands of migrants. Being able to address the key differences between migrants and native workers based on cultural and motivational factors might help with engagement and create a level of harmony in the field for greater productivity. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-07 DOI: 10.1108/ECAM-07-2023-0748 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Mikias Gugssa, Long Li, Lina Pu, Ali Gurbuz, Yu Luo, Jun Wang Abstract: Computer vision and deep learning (DL) methods have been investigated for personal protective equipment (PPE) monitoring and detection for construction workers’ safety. However, it is still challenging to implement automated safety monitoring methods in near real time or in a time-efficient manner in real construction practices. Therefore, this study developed a novel solution to enhance the time efficiency to achieve near-real-time safety glove detection and meanwhile preserve data privacy. The developed method comprises two primary components: (1) transfer learning methods to detect safety gloves and (2) edge computing to improve time efficiency and data privacy. To compare the developed edge computing-based method with the currently widely used cloud computing-based methods, a comprehensive comparative analysis was conducted from both the implementation and theory perspectives, providing insights into the developed approach’s performance. Three DL models achieved mean average precision (mAP) scores ranging from 74.92% to 84.31% for safety glove detection. The other two methods by combining object detection and classification achieved mAP as 89.91% for hand detection and 100% for glove classification. From both implementation and theory perspectives, the edge computing-based method detected gloves faster than the cloud computing-based method. The edge computing-based method achieved a detection latency of 36%–68% shorter than the cloud computing-based method in the implementation perspective. The findings highlight edge computing’s potential for near-real-time detection with improved data privacy. This study implemented and evaluated DL-based safety monitoring methods on different computing infrastructures to investigate their time efficiency. This study contributes to existing knowledge by demonstrating how edge computing can be used with DL models (without sacrificing their performance) to improve PPE-glove monitoring in a time-efficient manner as well as maintain data privacy. Citation: Engineering, Construction and Architectural Management PubDate: 2024-05-02 DOI: 10.1108/ECAM-07-2023-0763 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:William Henry Collinge Abstract: The paper aims to apply social practice theory to clarify the process of innovation design and delivery from one successful digital innovation: the building information modelling (BIM) risk library. The paper clarifies the practices surrounding construction innovation and provides a schema useful for practitioners and technology designers through a social practice analysis. The paper applies Schatzki's “organisation of practice” concepts to a construction project innovation to clarify how the practice of innovation revolves around understandings, rules and teleoaffectivities (emotive behaviours). Sources for the study include notes from meetings, workshops with experts and the shared artefacts of innovation. The practice of innovation design and delivery are clarified through a social practice analysis: a distinct “field of practice” and a “schema” of generalisable prescriptions and preferences for innovation delivery being presented. The paper informs the practice and process of innovation design and delivery; the insights clarify how collective understandings and rules of use evolve over time, becoming formalised into contracts, agreements and workplans. Practically, processes whereby innovation “sayings” evolve into innovation “doings” are clarified: a schema detailing prescriptions and preferences of practitioners and developers being presented. The social practice analysis of one successful construction innovation is an original contribution to the body of knowledge, adding a level of detail regarding innovation design and delivery often missing from reported research. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-26 DOI: 10.1108/ECAM-12-2023-1290 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Abdul-Manan Sadick, Argaw Gurmu, Chathuri Gunarathna Abstract: Developing a reliable cost estimate at the early stage of construction projects is challenging due to inadequate project information. Most of the information during this stage is qualitative, posing additional challenges to achieving accurate cost estimates. Additionally, there is a lack of tools that use qualitative project information and forecast the budgets required for project completion. This research, therefore, aims to develop a model for setting project budgets (excluding land) during the pre-conceptual stage of residential buildings, where project information is mainly qualitative. Due to the qualitative nature of project information at the pre-conception stage, a natural language processing model, DistilBERT (Distilled Bidirectional Encoder Representations from Transformers), was trained to predict the cost range of residential buildings at the pre-conception stage. The training and evaluation data included 63,899 building permit activity records (2021–2022) from the Victorian State Building Authority, Australia. The input data comprised the project description of each record, which included project location and basic material types (floor, frame, roofing, and external wall). This research designed a novel tool for predicting the project budget based on preliminary project information. The model achieved 79% accuracy in classifying residential buildings into three cost_classes ($100,000-$300,000, $300,000-$500,000, $500,000-$1,200,000) and F1-scores of 0.85, 0.73, and 0.74, respectively. Additionally, the results show that the model learnt the contextual relationship between qualitative data like project location and cost. The current model was developed using data from Victoria state in Australia; hence, it would not return relevant outcomes for other contexts. However, future studies can adopt the methods to develop similar models for their context. This research is the first to leverage a deep learning model, DistilBERT, for cost estimation at the pre-conception stage using basic project information like location and material types. Therefore, the model would contribute to overcoming data limitations for cost estimation at the pre-conception stage. Residential building stakeholders, like clients, designers, and estimators, can use the model to forecast the project budget at the pre-conception stage to facilitate decision-making. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-25 DOI: 10.1108/ECAM-11-2023-1108 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Suhair Alkilani, Martin Loosemore, Ahmed W.A. Hammad, Sophie-May Kerr Abstract: The purpose of this paper is to use Bourdieu’s Theory of Capital–Field–Habitus to explore how refugees, asylum seekers and migrants accumulate and mobilise social, cultural, symbolic and economic capital to find meaningful work in the Australian construction industry. The paper reports the results of a survey of refugees, asylum seekers and migrants who have either successfully or unsuccessfully searched for employment in the Australian construction industry. The findings dispel widely held negative stereotypes of about this group by describing a highly capable workforce which could address significant skills shortages in the industry, while concurrently diversifying the workforce. However, it is found that refugees, asylum seekers and migrants face considerable barriers to finding meaningful employment in the construction industry. In circumventing these barriers, education institutions, charities and community-based organisations play an especially important role, alongside friends and family networks. They do this by helping refugees, asylum seekers and migrants accumulate and deploy the necessary capital to secure meaningful work in the construction industry. Disappointingly, it is also found that the construction industry does little to help facilitate capital accumulation and deployment for this group, despite the urgent need to address diversity and critical skills shortages. Employing Pierre Bourdieu’s Theory of Capital–Field–Habitus, the findings make a number of new theoretical and practical contributions to the limited body of international research relating to the employment of refugees, asylum seekers and migrant workers in the construction. The results are important because meaningful employment is widely accepted to be the single most factor in the successful integration of refugees, asylum seekers and migrants into a host society and the construction industry represents an important source of potential employment for them. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-25 DOI: 10.1108/ECAM-11-2023-1212 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Mahmoud Sabry Shided Keniwe, Ali Hassan Ali, Mostafa Ali Abdelaal, Ahmed Mohamed Yassin, Ahmed Farouk Kineber, Ibrahim Abdel-Rashid Nosier, Ola Diaa El Monayeri, Mohamed Ashraf Elsayad Abstract: This study focused on exploring the performance factors (PFs) that impact Infrastructure Sanitation Projects (ISSPs) in the construction sector. The aim was twofold: firstly, to identify these crucial PFs and secondly, to develop a robust performance model capable of effectively measuring and assessing the intricate interdependencies and correlations within ISSPs. By achieving these objectives, the study aimed to provide valuable insights into and tools for enhancing the efficiency and effectiveness of sanitation projects in the construction industry. To achieve the study's aim, the methodology for identifying the PFs for ISSPs involved several steps: extensive literature review, interviews with Egyptian industry experts, a questionnaire survey targeting industry practitioners and an analysis using the Relative Importance Index (RII), Pareto principle and analytic network process (ANP). The RII ranked factor importance, and Pareto identified the top 20% for ANP, which determined connections and interdependencies among these factors. The literature review identified 36 PFs, and an additional 13 were uncovered during interviews. The highest-ranked PF is PF5, while PF19 is the lowest-ranked. Pareto principle selected 11 PFs, representing the top 20% of factors. The ANP model produced an application for measuring ISSP effectiveness, validated through two case studies. Application results were 92.25% and 91.48%, compared to actual results of 95.77% and 97.37%, indicating its effectiveness and accuracy, respectively. This study addresses a significant knowledge gap by identifying the critical PFs that influence ISSPs within the construction industry. Subsequently, it constructs a novel performance model, resulting in the development of a practical computer application aimed at measuring and evaluating the performance of these projects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-23 DOI: 10.1108/ECAM-12-2023-1249 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yanliang Niu, Chang Dai, Renjie Zhang, Hongjiang Yao Abstract: This study is devoted to examining the peer effects of engineering enterprises’ internationalization from the viewpoint of industry subdivision and how information and competition alter peer effects. Furthermore, the heterogeneity of peer effects is analyzed based on manager characteristics. In this study, multiple regression analysis was conducted on a sample of 38 Chinese engineering enterprises listed in the Engineering News-Record’s top 250 international contractors over the period of 2013–2021. This study collected the paired data from the enterprise annual reports and the China Stock Market & Accounting Research database. The results reveal that (1) there exist peer effects within the subdivided industry of the engineering field; the quality of information disclosure of peer enterprises and degree of market competition moderate the peer effects; (2) the peer effects of internationalization are more pronounced in engineering enterprises with managers who have lower ability, hold greater power or are older. The findings of this study contribute to understanding the peer effect in the process of internationalization of engineering enterprises, and help enterprises to effectively supervise the irrational behavior of top managers, so as to develop better internationalization strategies. The results extend peer effects to the subdivision industry of the engineering field. Furthermore, this study also enriches the relevant research on peer effects among enterprises by empirically supporting the moderating role of information and competition as well as analyzing the heterogeneity of the peer effects from the perspective of manager characteristics. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-22 DOI: 10.1108/ECAM-10-2023-1011 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Wei Chen, Zhuzhang Yang, Hang Yan, Ying Zhao Abstract: The construction industry is widely recognized as one of the most hazardous sectors in the world. Despite extensive research on safety management, a critical issue remains that insufficient attention is devoted to safety practices in rural areas. Notably, accidents frequently occur during the construction of rural self-built houses (RSH) in China. Safety management tends to be overlooked due to the perceived simplicity of the construction process. Furthermore, it is essential to acknowledge that China currently lacks comprehensive laws and regulations governing safety management in RSH construction. This paper aims to analyze the behavior of key stakeholders (including households, workmen, rural village committee and the government) and propose recommendations to mitigate safety risks associated with RSH construction. This paper applies evolutionary game theory to analyze the symbiotic evolution among households, workmen and rural village committee, in situations with or without government participation. Additionally, numerical simulation is utilized to examine the outcomes of various strategies implemented by the government. Without government participation, households, workmen, and rural village committee tend to prioritize maximizing apparent benefits, often overlooking the potential safety risks. Numerical simulations reveal that while government involvement can guide these parties towards safer decisions, achieving the desired outcomes necessitates the adoption of reasonable and effective strategies. Thus, the government needs to offer targeted subsidies to these stakeholders. Considering that during the construction phase, stakeholders are the main administrators accountable for safety management. However, there exists insufficient research examining the impact of stakeholder behavior on RSH construction safety. This study aims to analyze the behavior of stakeholders about how to reduce the safety risks in building RSH. Thus, the authors intend to contribute to knowledge in this area by establishing evolutionary game model. Firstly, this study carried out a theoretical by using tripartite evolutionary game to reveal the reasons for the high safety risk during building RSH. Practically, this research points out the important role of households, workmen and rural village committee in improving safety management in rural areas. Besides, some suggestions are proposed to the government about how to reduce construction safety risks in rural areas. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-16 DOI: 10.1108/ECAM-07-2023-0714 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Shilong Zhang, Changyong Liu, Kailun Feng, Chunlai Xia, Yuyin Wang, Qinghe Wang Abstract: The swivel construction method is a specially designed process used to build bridges that cross rivers, valleys, railroads and other obstacles. To carry out this construction method safely, real-time monitoring of the bridge rotation process is required to ensure a smooth swivel operation without collisions. However, the traditional means of monitoring using Electronic Total Station tools cannot realize real-time monitoring, and monitoring using motion sensors or GPS is cumbersome to use. This study proposes a monitoring method based on a series of computer vision (CV) technologies, which can monitor the rotation angle, velocity and inclination angle of the swivel construction in real-time. First, three proposed CV algorithms was developed in a laboratory environment. The experimental tests were carried out on a bridge scale model to select the outperformed algorithms for rotation, velocity and inclination monitor, respectively, as the final monitoring method in proposed method. Then, the selected method was implemented to monitor an actual bridge during its swivel construction to verify the applicability. In the laboratory study, the monitoring data measured with the selected monitoring algorithms was compared with those measured by an Electronic Total Station and the errors in terms of rotation angle, velocity and inclination angle, were 0.040%, 0.040%, and −0.454%, respectively, thus validating the accuracy of the proposed method. In the pilot actual application, the method was shown to be feasible in a real construction application. In a well-controlled laboratory the optimal algorithms for bridge swivel construction are identified and in an actual project the proposed method is verified. The proposed CV method is complementary to the use of Electronic Total Station tools, motion sensors, and GPS for safety monitoring of swivel construction of bridges. It also contributes to being a possible approach without data-driven model training. Its principal advantages are that it both provides real-time monitoring and is easy to deploy in real construction applications. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-16 DOI: 10.1108/ECAM-10-2022-0992 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Shuyuan Xu, Jun Wang, Xiangyu Wang, Wenchi Shou, Tuan Ngo Abstract: This paper covers the development of a novel defect model for concrete highway bridges. The proposed defect model is intended to facilitate the identification of bridge’s condition information (i.e. defects), improve the efficiency and accuracy of bridge inspections by supporting practitioners and even machines with digitalised expert knowledge, and ultimately automate the process. The research design consists of three major phases so as to (1) categorise common defect with regard to physical entities (i.e. bridge element), (2) establish internal relationships among those defects and (3) relate defects to their properties and potential causes. A mixed-method research approach, which includes a comprehensive literature review, focus groups and case studies, was employed to develop and validate the proposed defect model. The data collected through the literature and focus groups were analysed and knowledge were extracted to form the novel defect model. The defect model was then validated and further calibrated through case study. Inspection reports of nearly 300 bridges in China were collected and analysed. The study uncovered the relationships between defects and a variety of inspection-related elements and represented in the form of an accessible, digitalised and user-friendly knowledge model. The contribution of this paper is the development of a defect model that can assist inexperienced practitioners and even machines in the near future to conduct inspection tasks. For one, the proposed defect model can standardise the data collection process of bridge inspection, including the identification of defects and documentation of their vital properties, paving the path for the automation in subsequent stages (e.g. condition evaluation). For another, by retrieving rich experience and expert knowledge which have long been reserved and inherited in the industrial sector, the inspection efficiency and accuracy can be considerably improved. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-16 DOI: 10.1108/ECAM-10-2023-1013 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Carlos Alejandro Diaz Schery, Rodrigo Goyannes Gusmão Caiado, Soraida Aguilar Vargas, Yiselis Rodriguez Vignon Abstract: The purpose of this paper is twofold: first, to present a rigorous bibliometric analysis and a systematic literature review of the critical success factors (CSFs) for Building information modelling (BIM)-based digital transformation; second, to identify the relationship between the dimensions in favour of BIM implementation. This study adopts a two-step approach to combine bibliometric and systematic literature review to explore the research topic of BIM and CSFs. Bibliometric tools such as Biblioshiny in R language and Ucinet software were applied to this study. Besides identifying the two most influential authors (e.g. Bryde and Antwi-Afari), the key journal for disseminating articles, and the most influential countries in this discourse (e.g. Hong Kong and Australia), the study also identifies four pivotal research themes derived from the co-occurrence analysis of keywords: the fusion of sustainability and technology with BIM; practical application and its integration within construction management; innovation and engineering paradigms; and the advent of emerging technologies (e.g. Blockchain) within developing nations. Additionally, the paper introduces a comprehensive framework for selecting CSFs pertinent to BIM-centred digital transformation as viewed through the lens of dynamic capabilities. This paper establishes a link between dynamic capabilities theory, CSFs, and BIM dimensions, presenting a multifaceted framework guiding future paths and offering practical insights for managerial and political decision-makers engaged in digital transformation endeavours. The study positions dynamic capabilities as pivotal, aligning digital technologies with continuous business performance, and advocates for a strategic focus on digital transformation. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-15 DOI: 10.1108/ECAM-12-2023-1230 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Kyudong Kim, Helena R. Tiedmann, Kasey M. Faust Abstract: The COVID-19 pandemic caused significant societal changes and altered how much of the construction industry operates. This study investigates the impacts of pandemic-related changes, how these changes may apply to different companies, and which changes should continue post-pandemic. We aim to identify pandemic-driven changes that have affected the construction workplace and the advantages and challenges associated with them. We then make recommendations for what could and should endure through the pandemic and beyond, and under what circumstances. To achieve this objective, we conducted both qualitative and quantitative analyses of 40 semi-structured interviews with US-based construction professionals. Identified through these interviews were 21 pandemic-driven changes across six categories: management and planning, technology, workforce, health and safety, supply chain, and contracts. This study noted both positive and negative impacts of the changes on cost, schedule, productivity, collaboration, employee retention, flexibility, quality, and risk mitigation. Participants indicated that some changes should remain after the pandemic and others (e.g. select safety measures, schedule adjustments) should be temporary. By incorporating these lessons learned into recommendations, the findings of this study will help businesses identify and implement the most appropriate improvements for their organizations. The findings also provide policymakers with valuable insights on how to promote innovation in the construction industry and potentially enact more effective policies during crises to drive long-term improvements. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-12 DOI: 10.1108/ECAM-09-2023-0983 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yibin Ao, Panyu Peng, Mingyang Li, Jiayue Li, Yan Wang, Igor Martek Abstract: Building Information Modeling (BIM) competitions are a beneficial approach to enhance BIM education, offering students practical experience in BIM application, including mastering workflows and technical tools. However, research exploring the individual perceptions influencing participation intentions and behaviors in BIM competitions is limited. Therefore, this study aims to investigate the factors affecting university students' behavioral intention and behavior in BIM competitions, providing theoretical support for BIM competitions and educational reform. This study employs the Structural Equation Modeling (SEM) based on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to analyze the factors influencing BIM competition participation among 970 Architecture, Engineering, and Construction (AEC) university students. The results of the study show that social influence, attitude, and self-efficacy play critical roles in shaping students' intentions to participate in BIM competitions. Furthermore, self-efficacy, facilitating conditions, and behavioral intention significantly influence students' actual engagement in such competitions. Surprisingly, effort expectancy negatively influences intentions, as less challenging tasks can lead students to perceive their participation as less impactful on their skills and learning, reducing their behavioral intention to participate. This research provides valuable insights into the effectiveness of BIM competitions in enhancing BIM education for AEC students. Extending the UTAUT model to include self-efficacy and attitude, provides a novel perspective for understanding students' intentions and behaviors regarding BIM competitions. The study’s theoretical support proposes incorporating BIM competitions to augment BIM teaching methods and offers suggestions for advancing the efficacy of students' involvement in BIM competitions within higher education, thus contributing to educational reform in the AEC sector. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-12 DOI: 10.1108/ECAM-10-2023-1076 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yun Li, Zhe Cheng, Jiangbin Yin, Zhenshan Yang, Ming Xu Abstract: Infrastructure financialization plays a critical role in infrastructure development and urban growth around the world. However, on the one hand, the existing research on the infrastructure financialization focuses on qualitative and lacks quantitative country-specific studies. On the other hand, the spatial heterogeneity and influencing factors of infrastructure financialization are ignored. This study takes China as a typical case to identify and analyze the spatial characteristics, development process and impact factors of infrastructure financialization. To assess the development and characteristics of infrastructure financialization in China, this study constructs an evaluation index of infrastructure financialization based on the infrastructure financialization ratio (IFR). This study then analyzes the evolution process and spatial pattern of China's infrastructure financialization through the spatial analysis method. Furthermore, this study identifies and quantitatively analyzes the influencing factors of infrastructure financialization based on the spatial Dubin model. Finally, this study offers a policy suggestion as a governance response. The results demonstrate that infrastructure financialization effectively promotes the development of infrastructure in China. Second, there are significant spatial differences in China’s infrastructure financialization. Third, many factors affect infrastructure financialization, with government participation having the greatest impact. In addition, over-financialization of infrastructure has the potential to lead to government debt risks, which is a critical challenge the Chinese Government must address. Finally, this study suggests that infrastructure financialization requires more detailed, tailored,and place-specific policy interventions by the government. This study not only contributes to enriching the knowledge body of global financialization theory but also helps optimize infrastructure investment and financing policies in China and provides peer reference for other developing countries. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-11 DOI: 10.1108/ECAM-01-2023-0056 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xiaowei An, Sicheng Ren, Lunyan Wang, Yehui Huang Abstract: The purpose of this paper is to explore the support for multi-party collaboration in project construction provided by building information modeling (BIM). Based on the perspective of value co-creation, the research results can provide support for the collaborative application and contract design of BIM platform. In this paper, an evolutionary game model involving the owner, designer and constructor is constructed by using prospect theory and evolutionary game theory. Through simulation analysis, the evolution law of the strategy choice of each party in the collaborative application of BIM platform is discussed and the key factors affecting the strategy choice of all parties are analyzed. The results show that there is an ideal local equilibrium point with progressive stability in the evolutionary game between the three parties: “the construction party shares information, the designer receives the information and optimizes the project and the owner does not provide incentives”; in addition, the opportunistic behaviors of the design and construction parties, as well as the probability of such behaviors being detected and the subsequent punishment have a significant impact on the evolutionary outcome. This method can provide support for the collaborative application and contract design of BIM platform. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-11 DOI: 10.1108/ECAM-01-2024-0009 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Handan Kunkcu, Kerim Koc, Asli Pelin Gurgun Abstract: Work–family conflict is one of the most challenging stressors for construction industry professionals to cope with emotional problems. This study aims to propose a model linking work–family conflict and high-quality relationships among project team members and explore mediating effects of life and job satisfactions. A theoretical framework was established based on the spillover theory and social exchange theory. Data were obtained by a questionnaire survey conducted with 328 respondents working in construction projects. Structural equation modeling (SEM) was used to test interrelationships among work–family conflict, job satisfaction, life satisfaction and high-quality relationship. The results indicate that work–family conflict is negatively associated with both job and life satisfactions of construction professionals. In addition, there were direct and positive relationships between satisfaction domains and high-quality relationship capacity. The findings further support that job satisfaction plays a mediating role between work–family conflict and high-quality relationship among construction professionals, while life satisfaction does not mediate the relationship. The effects of interrole conflicts on the context of satisfaction have been investigated previously; however, there is a lack of knowledge regarding its influence on high-quality relationship among project team members. This study extends the body of knowledge on high-quality relationships among project team members to understand how conflict and satisfaction factors influence interpersonal relationships in construction project management. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-11 DOI: 10.1108/ECAM-05-2023-0499 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Bee Lan Oo, Benson Teck-Heng Lim Abstract: This study aims to explore the gender differences in working from home (WFH) experiences during the pandemic from the Australia’s construction workforce perspective. Specifically, it explores gender differences in terms of: (1) the respondents’ family responsibilities during the pandemic; (2) their WFH experiences prior to and during the pandemic; and (3) their perceptions of the impacts of challenges associated with WFH on their work activities and performance along with their self-reported work performance when WFH, overall satisfaction with WFH and preference for WFH post-COVID. This study adopted a survey design to reach the targeted sample population, i.e. construction workforce in the Australian construction industry who has had experienced WFH during the pandemic. Data was collected using an online anonymous questionnaire survey. The results show notable gender differences in various aspects including family responsibilities, workplace arrangements and perceptions of the impacts of the challenges associated with WFH on work activities and performance. Also, statistically significant associations are detected between gender and the respondents’ self-reported work performance when WFH, overall satisfaction with WFH and preference for WFH post-COVID. Even prior to the COVID-19 pandemic, little is known about WFH experiences among construction workforce due to the low prevalence of regular and planned remote working in the industry. This is the first study sheds light on construction workforce WFH experiences using gender lenses. The findings have implications for construction-related firms continuing with WFH arrangement post the pandemic, which may include the formulation of policy responses to re-optimize their present WFH practices. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-11 DOI: 10.1108/ECAM-11-2023-1130 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yanhu Han, Haoyuan Du, Chongyang Zhao Abstract: Digital transformation is crucial for achieving high-quality development in the construction industry. Assessing the industry's digital maturity is an urgent necessity. The Digital Transformation Maturity Model is a potential tool to systematically evaluate the digital maturity levels of various industries. However, most existing models predominantly focus on sectors such as the Internet and manufacturing, leaving the construction industry comparatively underrepresented. This study aims to address this gap by developing a maturity model tailored specifically for digital transformation within the construction industry. This study leverages the Capability Maturity Theory and integrates the unique characteristics of the construction industry to construct a comprehensive maturity model for digital transformation. The model comprises five critical dimensions: industry environment, strategy and organization, digital infrastructure, business process and management digitization, and digital performance. These dimensions encompass a total of 25 assessment indexes. To validate the model's feasibility and effectiveness, a digital transformation maturity assessment was conducted within China's construction industry. The results of the maturity assessment within the Chinese construction industry reveal that it currently operates at the third level of digital maturity (defined level). The industry's maturity score stands at 2.329 out of 5. This outcome indicates that the developed model is accurate and reliable in assessing the level of digital transformation maturity within the construction industry. This paper contributes both practical and theoretical insights to the field of digital transformation within the construction industry. By creating a tailored maturity model, it addresses a significant gap in existing research and offers a valuable tool for assessing and advancing digital maturity levels within this industry. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-10 DOI: 10.1108/ECAM-10-2023-1009 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Rita Peihua Zhang, Helen Lingard, Jack Clarke, Stefan Greuter, Lyndall Strazdins, Christine LaBond, Tinh Doan Abstract: This paper describes the development of a digital role play game (RPG) designed to help construction apprentices to better communicate with their supervisors about issues with the potential to impact on their physical and psychological health and safety. A participatory approach was adopted to utilise the knowledge and insights of the target users to inform the digital RPG development. Apprentices and supervisors were interviewed to identify characteristics of effective supervisor-apprentice communication, which became the RPG’s learning objectives. The scenarios constructed in the RPG were drawn from lived experiences shared by the apprentices in the interviews. During the development process, consultations were conducted with an advisory committee comprising of apprentices and supervisors to improve the realism of the RPG scenarios. Three scenarios were developed for the RPG. In each scenario, players are asked to make decisions at various interaction points about how the characters should respond to the unfolding and challenging situations. Scripts were developed for the game, which were acted out and motion captured to animate digital MetaHuman characters embedded in a virtual construction site. Two example situations are introduced in this paper to illustrate the development process. To our knowledge, the RPG introduced is one of the first applications of digital game-based training in the construction industry. The adoption of a participatory design approach ensures that the game content relates to real-world experiences. The digital RPG is highly interactive and engaging in nature and presents a novel approach to developing “soft” skills in construction. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-09 DOI: 10.1108/ECAM-11-2023-1157 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Hasith Chathuranga Victar, Anuradha Samarajeewa Waidyasekara Abstract: Construction and Demolition (C&D) Waste Management (WM) poses significant challenges in Sri Lanka, contributing to environmental degradation and resource depletion. To address these issues, this study explores the application of Circular Economy (CE) strategies in minimising waste generation and optimising resource utilisation in Sri Lankan construction industry. The research focuses on the construction and building renovation and use and operate stages of the building project life cycle, recognising their significance in waste generation and resource consumption. The research employed a qualitative approach, utilising the Delphi technique through three rounds of expert interviews. Seventeen experts were involved in the first round, followed by fifteen in the second round, and twelve in the final round. The collected data was analysed using manual content analysis methods. The research findings revealed fifteen C&D WM issues in the construction and building renovation stage in Sri Lanka, along with suitable strategies to overcome each of them. Similarly, eight C&D WM issues were identified for the use and operate stage of the building, and corresponding strategies were provided to address each issue. By adopting CE strategies such as modular design and material reuse, construction projects can optimise the project's timeline, cost, and quality factors. These strategies enable efficient resource allocation, reduce waste generation, and contribute to the overall sustainability of the project. The impact of CE strategies on mitigating these issues within the project management iron triangle was also discussed. This paper entails delving into how construction, building renovation, and operation stages of a building's life cycle intersect with CE strategies, which profoundly influence operational efficiency and long-term sustainability. By incorporating principles such as energy efficiency, water conservation, and circular product design, the paper illuminates how these strategies facilitate decreased energy usage, enhanced resource management, and diminished waste production throughout the building's lifespan. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-08 DOI: 10.1108/ECAM-06-2023-0608 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Malik Lakshan Hasantha, Anuradha Samarajeewa Waidyasekara, Hasith Chathuranga Victar Abstract: Insufficient time allocation for the bidding period occurs, causing drawbacks to both parties, the client and the bidder. Hence, this study aims to evaluate the time allocated for preparing a bid proposal as per the National Competitive Bidding (NCB) in the Sri Lankan context. The study has adopted a mixed method approach and expert interviews and document review to detect, analyse and validate the issues, and solutions based on NCB along with the adequacy of the allocated bidding period used as main data collection tools. Both qualitative and quantitative data were analysed through manual content analysis and inferential analysis respectively. Overall, 24 local issues with the existing competitive bidding process and solutions for each were identified. Among the 24 local issues, it was unanimously agreed by all interviewees that three specific issues require attention and improvement. These issues are related to the standard and incompleteness of bidding documents, inaccurate BOQ quantities measured by the consultant or the main contractor, and the excessive number of bidding document amendments by the consultant. It was revealed that a maximum of 42 calendar days (6 weeks) is sufficient for the bidding process while a minimum of 21 calendar days (3 weeks) is insufficient. The findings of this study would be recommended that Information and Communication Technology Agency (ICTA) understand the necessity of revising the NCB reference to the time allocated for the preparation of bids. By recognising the importance of sufficient time allocation for bid preparation, this research serves as a practical guide for authorities involved in policy formulation, aiding them in implementing revisions that align with the dynamic requirements of bidding procedures. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-08 DOI: 10.1108/ECAM-11-2023-1151 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yi Zhong, Zhiqian Chen, Jinglei Ye, Na Zhang Abstract: This study aims to investigate the critical success factors of digital transformation in the construction industry and identify whether the respondents' profiles influence their perceptions of critical success factors for digital transformation. To achieve the objectives, a literature review was first conducted based on technology-organization-environment (TOE) framework. Then a questionnaire survey was carried out. A total of 86 people were surveyed in this study, mainly from the construction industry. At the level of data processing, SPSS was used for analysis. Among the main tests used were the Shapiro–Wilk test, reliability analysis, mean rank analysis, Kruskal–Wallis test and Mann–Whitney U test. The study identified 15 critical success factors of digital transformation and found the three most important factors of digital transformation. Furthermore, respondents with different years of experience, enterprises with different sizes and different years made no difference in the perception of factors. Respondents' different occupations and types of enterprises created a bias in the perception of factors for digital transformation. Firstly, the small sample size of the questionnaire limits the reference value of data analysis for certain groups. In addition, this study focuses broadly on construction enterprises without specifically examining different types of enterprises, thus lacking depth in its findings. This study establishes a connection between TOE theory and the construction industry through an extensive literature review, identifying relevant factors and providing a reference for future research. The study's results would enrich the research on digital transformation in the construction industry and provide a reference for the digital transformation of construction enterprises. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-05 DOI: 10.1108/ECAM-08-2023-0782 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Qiang Du, Yerong Zhang, Lingyuan Zeng, Yiming Ma, Shasha Li Abstract: Prefabricated buildings (PBs) have proven to effectively mitigate carbon emissions in the construction industry. Existing studies have analyzed the environmental performance of PBs considering the shift in construction methods, ignoring the emissions abatement effects of the low-carbon practices adopted by participants in the prefabricated building supply chain (PBSC). Thus, it is challenging to exploit the environmental advantages of PBs. To further reveal the carbon reduction potential of PBs and assist participants in making low-carbon practice strategy decisions, this paper constructs a system dynamics (SD) model to explore the performance of PBSC in low-carbon practices. This study adopts the SD approach to integrate the complex dynamic relationship between variables and explicitly considers the environmental and economic impacts of PBSC to explore the carbon emission reduction effects of low-carbon practices by enterprises under environmental policies from the supply chain perspective. Results show that with the advance of prefabrication level, the carbon emissions from production and transportation processes increase, and the total carbon emissions of PBSC show an upward trend. Low-carbon practices of rational transportation route planning and carbon-reduction energy investment can effectively reduce carbon emissions with negative economic impacts on transportation enterprises. The application of sustainable materials in low-carbon practices is both economically and environmentally friendly. In addition, carbon tax does not always promote the implementation of low-carbon practices, and the improvement of enterprises' environmental awareness can further strengthen the effect of low-carbon practices. This study dynamically assesses the carbon reduction effects of low-carbon practices in PBSC, informing the low-carbon decision-making of participants in building construction projects and guiding the government to formulate environmental policies. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-05 DOI: 10.1108/ECAM-08-2023-0872 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Lili Gao, Xicheng Zhang, Xiaopeng Deng, Na Zhang, Ying Lu Abstract: This study aims to investigate the relationship between individual-level psychological resources and team resilience in the context of expatriate project management teams. It seeks to understand how personal psychological resources contribute to team resilience and explore the dynamic evolution mechanism of team resilience. The goal is to enhance team resilience among expatriates in a BANI (Brittle, Anxious, Nonlinear, and Incomprehensible) world, where organizations face volatile and uncertain conditions. An online survey was applied for data collection, and 315 valid samples from Chinese expatriates in international construction projects were utilized for data analysis. A structural equation model (SEM) examines the relationships between personal psychological resources and team resilience. The study identifies five psychological factors influencing team resilience: Employee Resilience, Cross-cultural Adjustment, Self-efficacy, Social Support, and Team Climate. The hypothesized relationships are validated through the SEM analysis. Additionally, a fuzzy cognitive map (FCM) is constructed to explore the dynamic mechanism of team resilience formation based on the results of the SEM. The SEM analysis confirms that employee resilience, cross-cultural adjustment, and team climate positively impact team resilience. Social support and self-efficacy also have positive effects on team climate. Moreover, team climate is found to fully mediate the relationship between self-efficacy and team resilience, as well as between social support and team resilience. The FCM model provides further insights into the dynamic evolution of team resilience, highlighting the varying impact effects of antecedents during the team resilience development process and the effectiveness of different combinations of intervention strategies. This study contributes to understanding team resilience by identifying the psychological factors influencing team resilience in expatriate project management teams. The findings emphasize the importance of social support and team climate in promoting team resilience. Interventions targeting team climate are found to facilitate the rapid development of team resilience. In contrast, interventions for social support are necessary for sustainable, long-term high levels of team resilience. Based on the dynamic simulation results, strategies for cultivating team resilience through external intervention and internal adjustment are proposed, focusing on social support and team climate. Implementing these strategies can enhance project management team resilience and improve the core competitiveness of contractors in the BANI era. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-03 DOI: 10.1108/ECAM-08-2023-0828 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Paulo Alberto Sampaio Santos, Breno Cortez, Michele Tereza Marques Carvalho Abstract: Present study aimed to integrate Geographic Information Systems (GIS) and Building Information Modeling (BIM) in conjunction with multicriteria decision-making (MCDM) to enhance infrastructure investment planning. This analysis combines GIS databases with BIM simulations for a novel highway project. Around 150 potential alternatives were simulated, narrowed to 25 more effective routes and 3 options underwent in-depth analysis using PROMETHEE method for decision-making, based on environmental, cost and safety criteria, allowing for comprehensive cross-perspective comparisons. A comprehensive framework proposed was validated through a case study. Demonstrating its adaptability with customizable parameters. It aids decision-making, cost estimation, environmental impact analysis and outcome prediction. Considering these critical factors, this study holds the potential to advance new techniques for assessment and planning railways, power lines, gas and water. The study acknowledges limitations in GIS data quality, particularly in underdeveloped areas or regions with limited technology access. It also overlooks other pertinent variables, like social, economic, political and cultural issues. Thus, conclusions from these simulations may not entirely represent reality or diverse potential scenarios. The proposed method automates decision-making, reducing subjectivity, aids in selecting effective alternatives and considers environmental criteria to mitigate negative impacts. Additionally, it minimizes costs and risks while demonstrating adaptability for assessing diverse infrastructures. By integrating GIS and BIM data to support a MCDM workflow, this study proposes to fill the existing research gap in decision-making prioritization and mitigate subjective biases. Citation: Engineering, Construction and Architectural Management PubDate: 2024-04-02 DOI: 10.1108/ECAM-08-2023-0830 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Sihao Li, Jiali Wang, Zhao Xu Abstract: The compliance checking of Building Information Modeling (BIM) models is crucial throughout the lifecycle of construction. The increasing amount and complexity of information carried by BIM models have made compliance checking more challenging, and manual methods are prone to errors. Therefore, this study aims to propose an integrative conceptual framework for automated compliance checking of BIM models, allowing for the identification of errors within BIM models. This study first analyzed the typical building standards in the field of architecture and fire protection, and then the ontology of these elements is developed. Based on this, a building standard corpus is built, and deep learning models are trained to automatically label the building standard texts. The Neo4j is utilized for knowledge graph construction and storage, and a data extraction method based on the Dynamo is designed to obtain checking data files. After that, a matching algorithm is devised to express the logical rules of knowledge graph triples, resulting in automated compliance checking for BIM models. Case validation results showed that this theoretical framework can achieve the automatic construction of domain knowledge graphs and automatic checking of BIM model compliance. Compared with traditional methods, this method has a higher degree of automation and portability. This study introduces knowledge graphs and natural language processing technology into the field of BIM model checking and completes the automated process of constructing domain knowledge graphs and checking BIM model data. The validation of its functionality and usability through two case studies on a self-developed BIM checking platform. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-29 DOI: 10.1108/ECAM-10-2023-1037 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ibrahim Yahaya Wuni Abstract: Sustainable construction re-engineers the conventional project lifecycle to integrate sustainability solutions. The additional sustainability requirements introduce new layers of complexity, challenges and risks that if unaddressed, can derail the gains in sustainable construction projects. This study developed a multidimensional risk assessment model for sustainable construction projects in the United Arab Emirates (UAE). The research activities a comprised comprehensive literature review to shortlist relevant risks, an analysis of the probability – impact rating of the shortlisted risks – and the development of a risk assessment model for SC projects in the UAE. The model is developed based on the multicriteria framework and mathematical formulation of the fuzzy synthetic evaluation approach. The developed model quantified the overall risk level in sustainable construction projects to be 3.71 on a 5-point Likert scale, indicating that investment in SC projects in the UAE is risky and should be carefully managed. The developed model further revealed that each of the risk groups, comprising management (3.82), technical (3.78), stakeholder (3.68), regulatory (3.66), material (3.53) and economic risks (3.502), presents a significant threat to realizing outcomes typical of SC projects. This study developed a multidimensional risk assessment model capable of objectively quantifying the overall risk level and provides decision support to project teams to improve risk management in sustainable construction projects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-29 DOI: 10.1108/ECAM-11-2023-1201 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Zhikun Ding, Wanqi Nie, Vivian W.Y. Tam, Chethana Illankoon Abstract: The preferences and adoption of recycled materials by consumers are subject to a variety of factors, such as enablers and barriers. Despite this, there exists a paucity of research concerning stakeholders' perceived value and real purchase decision towards recycled products. Consequently, this research study aims to fill this gap by investigating stakeholders' perceived value of recycled products derived from construction and demolition (C&D) waste and its effect on purchase decisions. Research data were collected from 219 valid questionnaires completed by Chinese stakeholders. Structural equation modeling (SEM) was then employed to test eight hypotheses. The results show intrinsic cue (materials) and extrinsic cue (brand) influence the stakeholders’ judgment on C&D waste recycled products’ value and then their purchase intention. However, cues such as quality, word-of-mouth, price, policy and advertised have not play a significant role in practice. This research study verified the significance of brand and material cues on decision making for purchasing C&D waste recycled products, providing new insights to policy making to enhance the uptake of C&D waste recycled products in construction industry. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-28 DOI: 10.1108/ECAM-11-2022-1035 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xichen Chen, Alice Yan Chang-Richards, Florence Yean Yng Ling, Tak Wing Yiu, Antony Pelosi, Nan Yang Abstract: Despite extensive academic research related to digital technologies (DT), their integration into architecture, engineering and construction (AEC) projects lags in practice. This paper aims to discover DT deployment patterns and emerging trends in real-life AEC projects. A case study methodology was adopted, including individual case analyses and comparative multiple-case analyses. The results revealed the temporal distribution of DT in practical AEC projects, specific DT products/software, major project types integrated with digital solutions, DT application areas and project stages and associated project performance. Three distinct patterns in DT adoption have been observed, reflecting the evolution of DT applications, the progression from single to multiple DT integration and alignment with emerging industry requirements. The DT adoption behavior in the studied cases has been examined using the technology-organization-environment-human (TOE + H) framework. Further, eight emerging trend streams for future DT adoption were identified, with “leveraging the diverse features of certain mature DT” being a shared recognition of all studied companies. This research offers actionable insights for AEC companies, facilitating the development of customized DT implementation roadmaps aligned with organizational needs. Policymakers, industry associations and DT suppliers may leverage these findings for informed decision-making, collaborative educational initiatives and product/service customization. This research provides empirical evidence of applicable products/software, application areas and project performance. The examination of the TOE + H framework offers a holistic understanding of the collective influences on DT adoption. The identification of emerging trends addresses the evolving demands of the AEC industry in the digital era. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-26 DOI: 10.1108/ECAM-09-2023-0962 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Keyu Chen, Beiyu You, Yanbo Zhang, Zhengyi Chen Abstract: Prefabricated building has been widely applied in the construction industry all over the world, which can significantly reduce labor consumption and improve construction efficiency compared with conventional approaches. During the construction of prefabricated buildings, the overall efficiency largely depends on the lifting sequence and path of each prefabricated component. To improve the efficiency and safety of the lifting process, this study proposes a framework for automatically optimizing the lifting path of prefabricated building components using building information modeling (BIM), improved 3D-A* and a physic-informed genetic algorithm (GA). Firstly, the industry foundation class (IFC) schema for prefabricated buildings is established to enrich the semantic information of BIM. After extracting corresponding component attributes from BIM, the models of typical prefabricated components and their slings are simplified. Further, the slings and elements’ rotations are considered to build a safety bounding box. Secondly, an efficient 3D-A* is proposed for element path planning by integrating both safety factors and variable step size. Finally, an efficient GA is designed to obtain the optimal lifting sequence that satisfies physical constraints. The proposed optimization framework is validated in a physics engine with a pilot project, which enables better understanding. The results show that the framework can intuitively and automatically generate the optimal lifting path for each type of prefabricated building component. Compared with traditional algorithms, the improved path planning algorithm significantly reduces the number of nodes computed by 91.48%, resulting in a notable decrease in search time by 75.68%. In this study, a prefabricated component path planning framework based on the improved A* algorithm and GA is proposed for the first time. In addition, this study proposes a safety-bounding box that considers the effects of torsion and slinging of components during lifting. The semantic information of IFC for component lifting is enriched by taking into account lifting data such as binding positions, lifting methods, lifting angles and lifting offsets. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-26 DOI: 10.1108/ECAM-11-2023-1119 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Jing An, Suicheng Li, Xiao Ping Wu Abstract: Project managers bear the responsibility of selecting and developing resource scheduling methods that align with project requirements and organizational circumstances. This study focuses on resource-constrained project scheduling in multi-project environments. The research simplifies the problem by adopting a single-project perspective using gain coefficients. It employs uncertainty theory and multi-objective programming to construct a model. The optimal solution is identified using Matlab, while LINGO determines satisfactory alternatives. By combining these methods and considering actual construction project situations, a compromise solution closely approximating the optimal one is derived. The study provides fresh insights into modeling and resolving resource-constrained project scheduling issues, supported by real-world examples that effectively illustrate its practical significance. The research highlights three main contributions: effective resource utilization, project prioritization and conflict management, and addressing uncertainty. It offers decision support for project managers to balance resource allocation, resolve conflicts, and adapt to changing project demands. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-26 DOI: 10.1108/ECAM-08-2023-0867 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Lama Abu Alieh, M. Reza Hosseini, Igor Martek, Wei Wu, Mehrdad Arashpour Abstract: A lack of suitably qualified Building Information Modelling (BIM) professionals is understood to be a major barrier towards higher uptakes of BIM in the Australian construction industry. In response, Australian universities have tried to integrate the teaching of BIM into construction-related curricula, but with limited success. The acknowledged impediment is the lingering mismatch between what universities offer and what industry actually needs. However, the exact nature of that mismatch has yet to be identified. This study addresses that knowledge gap. It assesses both the current status of BIM competencies among university graduates and explores how BIM education at Australian universities may be improved to deliver BIM work readiness, as required by the industry. This paper employed a qualitative research approach, utilizing 17 semi-structured interviews with experts in the Australian BIM industry. The Person-Organization (PO) fit theory, which emphasizes the congruence between individual and organizational characteristics, was utilized as a theoretical framework to examine the compatibility between “demand” and “ability” perspectives. The resulting data were analysed using this theoretical framework to gain insights into the PO fit perspectives in relation to BIM industry practices. Findings reveal that graduates are generally competent regarding the use of BIM software. However, employers require much more than software skills, and expect recruits to have the capability to implement BIM as a process according to information management standards. Specifically, graduates are significantly deficient in matters of BIM protocols, collaboration and coordination, information workflows as well as completion and handover procedures. This study is the first of its kind that bridges the gap between industry expectations and university education, in the Australian context, moving beyond the common discourse in education literature, which is exclusively focused on assessing students’ perceptions about BIM. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-25 DOI: 10.1108/ECAM-04-2023-0366 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Evans Kwesi Mireku, Ernest Kissi, Edward Badu, Clinton Ohis Aigbavboa, Titus Kwofie, Kenneth Eluerkeh Abstract: The construction industry is an industry which has gained notoriety when it comes to both physical and mental health problems. Compared to other industries, the construction sector has a higher prevalence of many stressors and mental health concerns. This calls for mechanisms to cope with these concerns. One coping mechanism propounded to help cope and adapt in the face of pressures and challenges is “Mental Toughness (MT)”. While mental toughness has been widely studied in various fields, there is a paucity of comprehensive research examining its significance among construction professionals. Thus, the motivation of this study is to establish the mental toughness characteristics among construction professionals in Ghana. The construction industry is an industry which has gained notoriety when it comes to both physical and mental health problems. Compared to other industries, the construction sector has a higher prevalence of mental health concerns. One coping mechanism propounded to help cope and adapt in the face of pressures and challenges is “Mental Toughness (MT)”. While mental toughness has been widely studied in various fields, there is a paucity of comprehensive research examining its significance among construction professionals. Thus, the motivation of this study is to establish the mental toughness characteristics among construction professionals. the study's findings revealed 13-factor model characteristics of mental toughness with 43 variables for mentally tough performers in the construction environment. These 13-factor models include Pressure Management (PM), Motivation (M), Emotional Intelligence (EI), Interpersonal self-belief (SB), Tough Attitude (TA), Job-related self-belief (SBB), Ethical Values (EV), Commitment (C), Focus (F), Optimism (OP), Expertise and Competence (EC), Imagery Control (IC) and Resilient (R). The outcome of this study has significant practical implications for various stakeholders. For construction professionals the identified factors provide valuable insights into the psychological attributes and behaviours that contribute to mental toughness among construction professionals. Understanding these characteristics can empower professionals to develop strategies for coping with stress, maintaining focus, and fostering resilience in challenging construction environments to achieve optimum performance levels consistently. The originality of this study's findings stems from the fact that it is among the first to provide greater insight into mental toughness characteristics considered by professionals (quantity surveyors, construction managers, engineers, project managers, architects, estate managers) in the construction industry. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-22 DOI: 10.1108/ECAM-07-2023-0751 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Qianmai Luo, Chengshuang Sun, Ying Li, Zhenqiang Qi, Guozong Zhang Abstract: With increasing complexity of construction projects and new construction processes and methods are adopted, more safety hazards are emerging at construction sites, requiring the application of the modern risk management methods. As an emerging technology, digital twin has already made valuable contributions to safety risk management in many fields. Therefore, exploring the application of digital twin technology in construction safety risk management is of great significance. The purpose of this study is to explore the current research status and application potential of digital twin technology in construction safety risk management. This study followed a four-stage literature processing approach as outlined in the systematic literature review procedure guidelines. It then combined the quantitative analysis tools and qualitative analysis methods to organize and summarize the current research status of digital twin technology in the field of construction safety risk management, analyze the application of digital twin technology in construction safety risk management and identify future research trends. The research findings indicate that the application of digital twin technology in the field of construction safety risk management is still in its early stages. Based on the results of the literature analysis, this paper summarizes five aspects of digital twin technology's application in construction safety risk management: real-time monitoring and early warning, safety risk prediction and assessment, accident simulation and emergency response, safety risk management decision support and safety training and education. It also proposes future research trends based on the current research challenges. This study provides valuable references for the extended application of digital twin technology and offers a new perspective and approach for modern construction safety risk management. It contributes to the enhancement of the theoretical framework for construction safety risk management and the improvement of on-site construction safety. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-22 DOI: 10.1108/ECAM-11-2023-1095 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Guiwen Liu, Yue Yang, Kaijian Li, Asheem Shrestha, Taozhi Zhuang Abstract: Micro-regeneration can effectively enhance a neighborhood’s commercial vitality and serve as a viable approach to boost economic benefits. However, the small scale of micro-regeneration efforts and the fragmented nature of information currently limit the availability of strong empirical evidence demonstrating its impact on neighborhood commercial vitality. The aim of the study was to examine the link between micro-regeneration and neighborhood commercial vitality, focusing on the average, time-lag, spatial spillover, and spatial heterogeneity effects. Using the panel data set of 1,755 neighborhoods in Chongqing from 2016 to 2021 as the research sample, the difference-in-differences (DID) method was employed in this study to explore the impact micro-regeneration has on neighborhood commercial vitality. The results illustrate that: (1) micro-regeneration can promote neighborhood commercial vitality in terms of the number and types of local consumption amenities by 27.76 and 5.89%, respectively, with no time-lag effect; (2) the positive spillovers can exist within the range of 5,000 meters–5,500 meters of regenerated neighborhoods; and (3) the effect of micro-regeneration on neighborhood commercial vitality can be greater in peripheral areas than in core areas of the city. The findings fill the knowledge gap on the relationship between micro-regeneration and neighborhood commercial vitality. Additionally, the results on the time-lag effect, spatial spillover effects, and spatial heterogeneity provide practical implications that can support the government and private sector in developing temporal and spatial arrangements for micro-regeneration projects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-21 DOI: 10.1108/ECAM-09-2023-0922 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Gang Yu, Zhiqiang Li, Ruochen Zeng, Yucong Jin, Min Hu, Vijayan Sugumaran Abstract: Accurate prediction of the structural condition of urban critical infrastructure is crucial for predictive maintenance. However, the existing prediction methods lack precision due to limitations in utilizing heterogeneous sensing data and domain knowledge as well as insufficient generalizability resulting from limited data samples. This paper integrates implicit and qualitative expert knowledge into quantifiable values in tunnel condition assessment and proposes a tunnel structure prediction algorithm that augments a state-of-the-art attention-based long short-term memory (LSTM) model with expert rating knowledge to achieve robust prediction results to reasonably allocate maintenance resources. Through formalizing domain experts' knowledge into quantitative tunnel condition index (TCI) with analytic hierarchy process (AHP), a fusion approach using sequence smoothing and sliding time window techniques is applied to the TCI and time-series sensing data. By incorporating both sensing data and expert ratings, an attention-based LSTM model is developed to improve prediction accuracy and reduce the uncertainty of structural influencing factors. The empirical experiment in Dalian Road Tunnel in Shanghai, China showcases the effectiveness of the proposed method, which can comprehensively evaluate the tunnel structure condition and significantly improve prediction performance. This study proposes a novel structure condition prediction algorithm that augments a state-of-the-art attention-based LSTM model with expert rating knowledge for robust prediction of structure condition of complex projects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-20 DOI: 10.1108/ECAM-08-2023-0801 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Pengcheng Pan, Yu Wang, Yumiao Yang, Sujuan Zhang Abstract: Building Information Modeling (BIM) capabilities have been studied at the individual, project, organizational, and even industry levels to ensure the realization of BIM value in the architectural, engineering, construction, and operation industry. However, limited research has focused on a project owner organization perspective to investigate owner BIM capabilities that are required to ensure effective project management and delivery. This present study aims to propose an indicator framework to evaluate owner BIM capabilities at the organizational level. Leveraging the existing literature on BIM capabilities and synthesizing insights from the resource-based view and information technology capabilities research, this study conceptualizes the BIM capabilities of project owner organizations and offers a framework of indicators for measurement. Semi-structured interviews with BIM experts and a questionnaire survey were conducted to identify key indicators affecting owner BIM capabilities. A six-dimensional structural equation model with 29 indicators was then established. The findings highlight the multidimensionality of owner BIM capabilities and show that process capabilities play a crucial role in enhancing owner BIM capabilities, while technical capabilities are considered as the least important aspect. The study sheds light on the key role of project owner organizations in ensuring BIM value and suggests that project owners focus more on the organizational processes of introducing BIM in managing projects. This study reconceptualizes owner BIM capabilities drawing on the idea of resource-based view and information technology capabilities and highlights the important dimensions and indicators of owner BIM capabilities at the organizational level. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-19 DOI: 10.1108/ECAM-09-2023-0934 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ding Liu, Chenglin Li Abstract: Safety training can effectively facilitate workers’ safety awareness and prevent injuries and fatalities on construction sites. Traditional training methods are time-consuming, low participation, and less interaction, which is not suitable for students who are born in Generation Z (Gen Z) and expect to be positively engaged in the learning process. With the characteristic of immersive, interaction, and imagination, virtual reality (VR) has become a promising training method. The purpose of this study is to explore Gen Z students’ learning differences under VR and traditional conditions and determine whether VR technology is more suitable for Gen Z students. This paper designed a comparison experiment that includes three training conditions: VR-based, classroom lecturing, and on-site practice. 32 sophomore students were divided into four groups and received different training methods. The eye movement data and hazard-identification index (HII) scores from four groups were collected to measure their hazard-identification ability. The differences between the participants before and after the test were tested by paired sample t-test, and the differences between the groups after the test were analyzed by one-way Welch’s analysis of variance (ANOVA) test. The statistical findings showed that participants under VR technology condition spent less time finding and arriving at the Areas of Interest (AOIs). Both the eye movement data and HII scores indicated that VR-based safety training is an alternative approach for Gen Z students to traditional safety training methods. These findings contribute to the theoretical implications by proving the applicability of VR technology to Gen Z students and empirical implications by guiding colleges and universities to design attractive safety training lessons. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-18 DOI: 10.1108/ECAM-09-2023-0882 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Mohammed Taha Alqershy, Qian Shi, Diana R. Anbar Abstract: This study aims to investigate the factors influencing the social responsibility performance of Belt and Road Initiative (BRI) megaprojects. Specifically, it examines the role of isomorphic pressures and the joint influence of perceived benefits and top management support on megaproject social responsibility performance (MSRP). Drawing from institutional theory, social exchange theory, and top management literature, this study established a conceptual model featuring eleven hypotheses. Subsequently, a questionnaire survey was administered to collect data from 238 actively engaged participants in BRI megaprojects. Structural Equation Modelling was utilised to analyse the data. The empirical findings indicate that mimetic and coercive pressures positively influence MSRP. Perceived benefits and top management support significantly enhance MSRP. Moreover, perceived benefits and top management support partially mediate the effects of coercive and mimetic pressures. However, when it comes to normative pressures, their impact on MSRP is solely channelled through the support of top management. This study is one of the early endeavours to explore the factors influencing the social responsibility performance of BRI megaprojects. It sheds light on the interplay between external pressures and internal factors in shaping social responsibility efforts in these projects. These findings are of particular significance for BRI actors and stakeholders, offering guidance for enhancing social responsibility strategies within the context of BRI megaprojects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-15 DOI: 10.1108/ECAM-11-2023-1169 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Pengkun Liu, Zhewen Yang, Jing Huang, Ting-Kwei Wang Abstract: The purpose of this study is to scrutinize the influence of individual learning styles on the effectiveness of augmented reality (AR)-based learning in structural engineering. There has been a lack of research examining the correlation between learning efficiency and learning style, particularly in the context of quantitatively assessing the efficacy of AR in structural engineering education. Using Kolb’s experiential learning theory (ELT), a model that emphasizes learning through experience, students from the construction management department are assigned four learning styles (converging, assimilating, diverging and accommodating). Performance data were gathered, appraised, and compared through the three dimensions from the Knowledge, Attitude and Practices (KAP) survey model across four categories of Kolb’s learning styles in both text-graph (TG)-based and AR-based learning settings. The findings indicate that AR-based materials positively impact structural engineering education by enhancing overall learning performance more than TG-based materials. It is also found that the learning style has a profound influence on learning effectiveness, with AR technology markedly improving the information retrieval processes, particularly for converging and assimilating learners, then diverging learners, with a less significant impact on accommodating learners. These results corroborate prior research analyzing learners' outcomes with hypermedia and informational learning systems. It was found that learners with an “abstract” approach (convergers and assimilators) outperform those with a “concrete” approach (divergers and accommodators). This research emphasizes the importance of considering learning styles before integrating technologies into civil engineering education, thereby assisting software developers and educational institutions in creating more effective teaching materials tailored to specific learning styles. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-14 DOI: 10.1108/ECAM-06-2023-0596 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Natália Ransolin, Tarcisio Abreu Saurin, Robyn Clay-Williams, Carlos Torres Formoso, Frances Rapport, John Cartmill Abstract: Surgical services are settings where resilient performance (RP) is necessary to cope with a wide range of variabilities. Although RP can benefit from a supportive built environment (BE), prior studies have focused on the operating room, giving scant attention to support areas. This study takes a broader perspective, aiming at developing BE design knowledge supportive of RP at the surgical service as a whole. Seven BE design prescriptions developed in a previous work in the context of internal logistics of hospitals, and thus addressing interactions between workspaces, were used as a point of departure. The prescriptions were used as a data analysis framework in a case study of the surgical service of a medium-sized private hospital. The scope of the study included surgical and support areas, in addition to workflows involving patients and family members, staff, equipment, sterile instruments and materials, supplies, and waste. Data collection included document analysis, observations, interviews, and meetings with hospital staff. Results identified 60 examples of using the prescriptions, 77% of which were related to areas other than the operating rooms. The developed design knowledge is framed as a set of prescriptions, examples, and their association to workflows and areas, indicating where it should be applied. The design knowledge is new in surgical services and offers guidance to both BE and logistics designers. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-12 DOI: 10.1108/ECAM-10-2023-1063 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Florence Yean Yng Ling, Kelly Kai Li Teh Abstract: This study investigated what are the effective leadership styles and practices that boost employees’ work outcomes during the COVID-19 pandemic from the perspective of facilities management professionals (FMPs). Three predominant leadership styles (transformational, transactional contingent reward and disaster management) were operationalized into 38 leadership practices (X variables) and 8 work outcomes (Y variables). The explanatory sequential research design was adopted. Online questionnaire survey was first conducted on FMPs who managed facilities during the critical periods of COVID-19 pandemic in Singapore. In-depth interviews were then carried out with subject matter experts to elaborate on the quantitative findings. During the pandemic, FMPs were significantly stressed at work, but also experienced significant job satisfaction and satisfaction with their leaders/supervisors. Statistical results revealed a range of leadership practices that are significantly correlated with FMPs’ work outcomes. One leadership practice is critical as it affects 4 of the 8 FMPs’ work outcomes - frequently acknowledging employees’ good performance during the pandemic. The study explored 3 leadership styles. There are other styles like laissez faire and servant leadership that might also affect work outcomes. Based on the findings, suggestions were provided to organizations that employ FMPs on how to improve their work outcomes during a crisis such as a pandemic. The novelty is the discovery that in the context of a global disaster such as the COVID-19 pandemic, the most relevant leadership styles to boost employees’ work outcomes are transactional contingent reward and disaster management leadership. The study adds to knowledge by showing that not one leadership style is superior – all 3 styles are complementary, but distinct, forms of leadership that need to work in tandem to boost FMPs’ work outcomes during a crisis such as a pandemic. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-11 DOI: 10.1108/ECAM-07-2022-0628 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Md. Mohaimenul Islam Sourav, Mohammed Russedul Islam, Sheikh Mohibur Rahman, Md. Istiak Jahan Abstract: In Bangladesh (BD), delays in infrastructure are common. Many previous studies have explored the causes of infrastructure delays. However, this study investigated the causes of delays by taking responses from the stakeholders who are responsible for planning, design, funding, approval and implementation. There are few studies that have related infrastructure project delays to heterogeneity in stakeholders’ perceptions. A structural equation (SE) model is developed with 350 normally distributed data points to understand the heterogeneity in stakeholders’ perceptions regarding delays in infrastructure projects in BD. Additionally, the relative importance index (RII) approach is used to assess the responses, validating the SE model. The study finds that among the three latent variables, “Project itself related delay” has more influence on delays in infrastructure projects. Among the observed variables under the “project itself related delay” latent variable, “DPP approval process” has the most significance. From the heterogeneity analysis, the study found differences in responses among the stakeholders from “the Engineering Department,” “the Planning Office” and “the Construction Firm/Industry.” An important class of stakeholders believes that their stage is not being delayed and that other stages require attention. The data sample is 350. More data can improve the accuracy of the findings. Most of the respondents are civil engineers (74%) and represent the owner of the project. Sample data from more stakeholders’ will enhance the accuracy of the result. This study addresses the requirements of Bangladeshi project stakeholders and how their interactions cause delays in projects. Furthermore, the opinions of other stakeholders are taken into consideration when determining the specific factors of individual stakeholders that are causing delays. Practically, the distance between stakeholders should be reduced. A project manager can play a role in this regard. Initiatives should be taken on how to complete the project quickly by eliminating the requirements discussed among the stakeholders and bureaucratic complications. Instead of placing blame on one another, stakeholders should take the initiative to figure out how to work together to finish the project on schedule. The Planning Commission’s approval of the Development Project Proposal (DPP) and Revised Development Project Proposal (RDPP) should be obtained as soon as possible by owner stakeholders. In order to avoid frequently changing the DPP, owners should also exercise greater caution when choosing contractors. Contractor stakeholders should use efficient and proper manpower and equipment so that unexpected delays are not created during the execution of work. Since the role of the contractor stakeholder is the most important among the three types of stakeholders, the contractor should raise awareness and urge the owners to get the RDPP approved quickly. The findings from the study can help mitigate delays in infrastructure projects in BD, taking into account the perceptions of various stakeholders. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-08 DOI: 10.1108/ECAM-04-2023-0330 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Fei Kang, Yifei Shi, Jiyu Li, Han Zhang Abstract: Despite the growing body of empirical research on leader anger expressions, the issue of how and when leader anger expressions shape newcomers’ proactive career behavior and work alienation in the construction industry has been largely overlooked. Building upon social information processing theory, this research identifies newcomers’ organization-based self-esteem as a mediator, and suggests that newcomers’ performance goal orientation could moderate the relationship. A questionnaire study was conducted on the construction industry in China, and the PROCESS program developed by Hayes was used to test the hypothetical model with 215 valid cases. The results suggest that leader anger expressions are negatively associated with newcomers’ organization-based self-esteem, and organization-based self-esteem mediated the link between leader anger expressions and newcomers’ proactive career behavior and work alienation. Furthermore, the newcomers’ performance goal orientation moderates the negative impact of leader anger expressions on newcomers’ organization-based self-esteem. Due to the cross-sectional nature of this study, causal implications are difficult to draw. Moreover, all data we received was based on participant self-reports, which may raise concerns about common method variance. In this paper, we contribute to a deeper understanding of the mediating mechanisms and boundary conditions by which leader anger expressions influence newcomers’ proactive career behavior and work alienation from social information processing perspective, in addition to providing valuable insights for management of newcomers in the construction industry. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-08 DOI: 10.1108/ECAM-05-2023-0456 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xian Zheng, Xiao Hu, Chunlin Wu, Ju Bai Abstract: Although researchers have long recognized the importance of participating organizations’ (POs) relational behavior for mega construction projects (MCPs) performance, relational behavior may not be executed by POs without effective leadership from project owners. However, little is known about the mechanisms linking owners’ leadership styles to POs’ relational behavior. This study draws on full range leadership theory and role theory to examine the relationships between owners’ leadership styles (i.e. transformational and transactional) and relational behavior. POs’ role orientations (i.e. normative and economic) are considered as potential mediators. Data were collected from 175 managers deeply involved in MCPs. Hierarchical regression model and bootstrapping methods were performed on the data to examine the direct effects of owners’ leadership on POs’ relational behavior and the mediating effects of POs’ role orientations. The results revealed that both owners’ transformational and transactional leadership positively affect POs’ relational behavior, despite the former being higher than the latter, and indirectly influence relational behavior via POs’ normative and economic role orientation, respectively. This study provides a clear picture of how owners’ leadership can motivate POs’ relational behavior to achieve high-quality inter-organizational relationships in MCPs. The findings can guide owners’ top manager selection by prioritizing those with transformational leadership, which is beneficial to achieving high-level relational behavior of POs. The results also imply that owners should pay greater attention to cultivating POs’ normative role orientation by encouraging teamwork and open communication to enhance their implementation of relational behavior. Unlike previous research focusing more on intra-organizational leader–follower relationship within one PO, this study is one of the first to empirically confirm owners’ leadership as a critical antecedent of POs’ relational behavior, thus enhancing the theoretical understanding of inter-organizational relationship management in MCPs. Based on role theory, this study considers a novel organizational psychology mechanism, i.e. POs’ role orientations, as the mediator to unravel how owners’ leadership affects POs’ relational behavior, which was rarely invoked in MCP leadership literature. Citation: Engineering, Construction and Architectural Management PubDate: 2024-03-06 DOI: 10.1108/ECAM-05-2023-0528 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Wenque Liu, Albert P.C. Chan, Man Wai Chan, Amos Darko, Goodenough D. Oppong Abstract: The successful implementation of hospital projects (HPs) tends to confront sundry challenges in the planning and construction (P&C) phases due to their complexity and particularity. Employing key performance indicators (KPIs) facilitates the monitoring of HPs to advance their successful delivery. This study aims to comprehensively investigate the KPIs for hospital planning and construction (HPC). The KPIs for HPC were identified through a systematic review. Then a comprehensive assessment of these KPIs was performed utilizing a meta-analysis method. In this process, basic statistical analysis, subgroup analysis, sensitive analysis and publication bias analysis were performed. Results indicate that all 27 KPIs identified from the literature are significant for executing HPs in P&C phases. Also, some unconventional performance indicators are crucial for implementing HPs, such as “Project monitoring effectiveness” and “Industry innovation and synergy,” as their high significance is reflected in this study. Despite the fact that the findings of meta-analysis are more trustworthy than those of individual studies, a high heterogeneity still exists in the findings. It highlights the inherent uncertainty in the construction industry. Hence, this study applied subgroup analysis to explore the underlying factors causing the high level of heterogeneity and used sensitive analysis to assess the robustness of the findings. There is no consensus among the prior studies on KPIs for HPC specifically and their degree of significance. Additionally, few reviews in this field have focused on the reliability of the results. This study comprehensively assesses the KPIs for HPC and explores the variability and robustness of the results, which provides a multi-dimensional perspective for practitioners and the research community to investigate the performance of HPs during the P&C stages. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-29 DOI: 10.1108/ECAM-10-2023-1060 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Qianwen Zhou, Xiaopeng Deng Abstract: Despite the knowledge transfer between projects has received increasing attention from scholars, few scholars still conduct comprehensive research on inter-project knowledge transfer from both horizontal and vertical perspectives. Besides, knowledge transfer is affected by multiple antecedent conditions, and these factors should be combined for analysis. Therefore, this paper aims to explore the key factors influencing knowledge transfer between projects using the fuzzy-set qualitative comparative analysis (fsQCA) method from both horizontal and vertical perspectives and how these factors combine to improve the effectiveness of knowledge transfer (EKT) between projects. First, nine factors affecting knowledge transfer between projects were identified, which were from the four dimensions of subject, relationship, channel, and context, namely temporary nature (TN), time urgency (TU), transmit willingness (TW), receive willingness (RW), trust (TR), project-project transfer channels (PPC), project-enterprise transfer channels (PEC), organizational atmosphere (OA), and motivation system (MS). Then, the source of the samples was determined and the data from the respondents was collected for analysis. Following the operation steps of the fsQCA method, variable calibration, single condition necessity analysis, and configuration analysis were carried out. After that, the configurations of influencing factors were obtained and the robustness test was conducted. The results of the fsQCA method show that there are five configurations that can obtain better EKT between projects. Configuration 3 (∼TN * ∼TU * TW * RW * TR * ∼PPC * PEC * MS) has the highest consistency, indicating that it has the highest degree of the explanatory variable subset. Configuration 1 (∼TN * ∼TU * TW * RW * PEC * OA * MS) has the highest coverage, meaning that this configuration can explain most cases. Also, the five configurations were divided into three types: vertical transfer, horizontal-vertical transfer, and channel-free transfer category. Firstly, this study explores the key factors influencing knowledge transfer between projects from four dimensions, which presents the logical chain of influencing factors more clearly. Then, this study divided the five configurations obtained into three categories according to the transfer direction: vertical, horizontal-vertical, and channel-free transfer, which gives implications to focus on both horizontal knowledge transfer (HKT) and (VKT) when studying knowledge transfer between projects. Lastly, this study helps to realize the exploration of combined improvement strategies for EKT, thereby providing meaningful recommendations for enterprises and project teams to facilitate knowledge transfer between projects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-27 DOI: 10.1108/ECAM-07-2023-0743 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Yu Yang, Shiting Shao, Dongping Cao Abstract: Despite the critical role of the policy environment in facilitating the advancement of building information modeling (BIM) as a systemic innovation to reshape traditional facility design, construction and operation processes, scant scholarly attention has been paid to systematically investigating how and why complex BIM policies are concretely and gradually implemented in different regional contexts from a dynamic policy diffusion perspective. This study aims to empirically investigate how different types of BIM policy instruments are dynamically implemented in heterogeneous regions over time and how the diffusion of BIM policies across different regions is comprehensively impacted by both internal efficiency needs and external legitimacy pressures. This study employed a positivist research paradigm in which BIM policy data from 182 prefecture-level and above cities in China during 2011–2022 were analyzed with quantitative approaches for theory verification. Based on the content analysis of the evolutionary characteristics of the adopted BIM policy instruments in heterogeneous regions over time, the event history analysis (EHA) method was then used to further examine the mechanisms underlying the diffusion of BIM policies across different regions. The content analysis results show that while environmental instruments (such as technological integration and goal planning) are the primary policy instruments currently adopted in China, recent years have also witnessed increasing adoptions of supply-side instruments (such as fiscal support and information support) and demand-side instruments (such as demonstration projects and tax incentives). After controlling for the impacts of regional fiscal and technical resources, the EHA results illustrate that BIM policy adoption positively relates to regional construction industry scale but negatively relates to regional industry productivity and that compared with public pressures from industry participants, vertical pressures from the central government and horizontal pressures from neighboring regions are more substantial drivers for policy adoption. As an exploratory effort of using a dynamic policy diffusion perspective to systematically investigate how BIM policies are adopted in heterogeneous regional contexts to facilitate BIM advancement, this study not only characterizes the complexity and dynamics of BIM policies but also provides deepened understandings of the mechanisms underlying policy adoption in the conservative construction industry. The findings hold implications for how multifarious policy instruments can be more effectively and dynamically adopted to facilitate the advancement of BIM and related technologies as innovative solutions in the construction domain. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-27 DOI: 10.1108/ECAM-08-2023-0826 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Zhiyu Dong, Ruize Qin, Ping Zou, Xin Yao, Peng Cui, Fan Zhang, Yizhou Yang Abstract: The occupational health risk associated with the production of prefabricated concrete components is often overlooked. This paper will use a damage assessment and cyclic mitigation (DACM) model to provide individualized exposure risk assessment and corresponding mitigation management measures for workers who are being exposed. The DACM model is proposed based on the concept of life cycle assessment (LCA). The model uses Monte-Carlo simulation for uncertainty risk assessment, followed by quantitative damage assessment using disability-adjusted life year (DALY). Lastly, sensitivity analysis is used to identify the parameters with the greatest impact on health risks. The results show that the dust concentration is centered around the mean, and the fitting results are close to normal distribution, so the mean value can be used to carry out the calculation of risk. However, calculations using the DACM model revealed that there are still some work areas at risk. DALY damage is most severe in concrete production area. Meanwhile, the inhalation rate (IR), exposure duration (ED), exposure frequency (EF) and average exposure time (AT) showed greater impacts based on the sensitivity analysis. Based on the comparison, the DACM model can determine that the potential occupational health risk of prefabricated concrete component (PC) factory and the risk is less than that of on-site construction. It synthesizes field research and simulation to form the entire assessment process into a case-base system with the depth of the cycle, which allows the model to be continuously adjusted to reduce the occupational health damage caused by production pollution exposure. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-27 DOI: 10.1108/ECAM-06-2023-0581 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xinnan Liu, Jiani Meng, Jiayi Wang, Yingbo Ji Abstract: This study adopts the perspective of dynamic capabilities to investigate influencing factors and proposes improvement strategies of supply chain resilience of prefabricated construction. The structural equation model (SEM) is used to identify and verify the relationship between factors influencing supply chain resilience of prefabricated construction from the perspective of dynamic capabilities. The system dynamics (SD) model is constructed to dynamically simulate the specific effects of different influencing factors. Results indicate that: (1) An evaluation index system for supply chain resilience of prefabricated construction containing five first-level indicators and 36 second-level indicators is constructed; (2) Ability to anticipate, ability to respond, ability to adapt, ability to recover and ability to learn are positively correlated with the supply chain resilience of prefabricated construction and (3) ANT3 (information system), RES1 (quick response), ADA3 (buffer stock) and LEA4 (trust) are the most leading factors influencing supply chain resilience of prefabricated construction over time. This study fulfills the need for an in-depth exploration of the various influencing factors on supply chain resilience of prefabricated construction from the perspective of dynamic capabilities. Furthermore, this study provides improvement strategies to enhance supply chain resilience of prefabricated construction in China. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-23 DOI: 10.1108/ECAM-09-2023-0956 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Nehal Elshaboury, Tarek Zayed, Eslam Mohammed Abdelkader Abstract: Water pipes degrade over time for a variety of pipe-related, soil-related, operational, and environmental factors. Hence, municipalities are necessitated to implement effective maintenance and rehabilitation strategies for water pipes based on reliable deterioration models and cost-effective inspection programs. In the light of foregoing, the paramount objective of this research study is to develop condition assessment and deterioration prediction models for saltwater pipes in Hong Kong. As a perquisite to the development of condition assessment models, spherical fuzzy analytic hierarchy process (SFAHP) is harnessed to analyze the relative importance weights of deterioration factors. Afterward, the relative importance weights of deterioration factors coupled with their effective values are leveraged using the measurement of alternatives and ranking according to the compromise solution (MARCOS) algorithm to analyze the performance condition of water pipes. A condition rating system is then designed counting on the generalized entropy-based probabilistic fuzzy C means (GEPFCM) algorithm. A set of fourth order multiple regression functions are constructed to capture the degradation trends in condition of pipelines overtime covering their disparate characteristics. Analytical results demonstrated that the top five influential deterioration factors comprise age, material, traffic, soil corrosivity and material. In addition, it was derived that developed deterioration models accomplished correlation coefficient, mean absolute error and root mean squared error of 0.8, 1.33 and 1.39, respectively. It can be argued that generated deterioration models can assist municipalities in formulating accurate and cost-effective maintenance, repair and rehabilitation programs. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-21 DOI: 10.1108/ECAM-08-2023-0777 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xiaobo Shi, Yan Liu, Kunkun Ma, Zixin Gu, Yaning Qiao, Guodong Ni, Chibuzor Ojum, Alex Opoku, Yong Liu Abstract: The purpose is to identify and evaluate the safety risk factors in the coal mine construction process. The text mining technique was applied in the stage of safety risk factor identification. The association rules method was used to obtain associations with safety risk factors. Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Interpretative Structural Modeling (ISM) were utilized to evaluate safety risk factors. The results show that 18 safety risk factors are divided into 6 levels. There are 12 risk transmission paths in total. Meanwhile, unsafe behavior and equipment malfunction failure are the direct causes of accidents, and inadequate management system is the basic factor that determines the safety risk status. Due to the limitation of the computational matrix workload, this article only categorizes numerous lexical items into 18 factors. Then, the workshop relied on a limited number of experts; thus, the findings may be potentially biased. Next, the accident report lacks a universal standard for compilation, and the use of text mining technique may be further optimized. Finally, since the data are all from China, subsequent cross-country studies should be considered. The results can help China coal mine project managers to have a clear understanding of safety risks, efficiently carry out risk hazard identification work and take timely measures to cut off the path of transmission with risks identified in this study. This helps reduce the economic losses of coal mining enterprises, thus improving the safety standards of the entire coal mining industry and the national standards for coal mine safety policy formulation. Coal mine construction projects are characterized by complexity and difficulties in construction. Current research on the identification and assessment of safety risk factors in coal mine construction is insufficient. This study combines objective and systematic research approaches. The findings contribute to the safety risk management of China coal mine construction projects by providing a basis for the development of safety measures. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-20 DOI: 10.1108/ECAM-02-2023-0103 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Huy Minh Vo, Jyh-Bin Yang, Veerakumar Rangasamy Abstract: Construction projects commonly encounter complicated delay problems. Over the past few decades, numerous delay analysis methods (DAMs) have been developed. There is no consensus on whether existing DAMs effectively resolve delays, particularly in the case of complex concurrent delays. Thus, the primary objective of this study is to undertake a comprehensive and systematic literature review on concurrent delays, aiming to answer the following research question: Do existing delay analysis techniques deal with concurrent delays well' This study conducts a comprehensive review of concurrent delays by both bibliometric and systematic analysis of research publications published between 1982 and 2022 in the Web of Science (WoS) and Scopus databases. For quantitative analysis, a bibliometric mapping tool, the VOSviewer, was employed to analyze 68 selected publications to explore the co-occurrence of keywords, co-authorship and direct citation. Additionally, we conducted a qualitative analysis to answer the targeted research question, identify academic knowledge gaps and explore potential research directions for solving the theoretical and practical problems of concurrent delays. Concurrent delays are a critical aspect of delay claims. Despite DAMs developed by a limited number of research teams to tackle issues like concurrence, float consumption and the critical path in concurrent delay resolution, practitioners continue to face significant challenges. This study has successfully identified knowledge gaps in defining, identifying, analyzing and allocating liability for concurrent delays while offering promising directions for further research. These findings reveal the incompleteness of available DAMs for solving concurrent delays. The outcomes of this study are highly beneficial for practitioners and researchers. For practitioners, the discussions on the resolution process of concurrent delays in terms of identification, analysis and apportionment enable them to proactively address concurrent delays and lay the groundwork for preventing and resolving such issues in their construction projects. For researchers, five research directions, including advanced DAMs capable of solving concurrent delays, are proposed for reference. Existing research on DAMs lacks comprehensive coverage of concurrent delays. Through a scientometric review, it is evident that current DAMs do not deal with concurrent delays well. This review identifies critical knowledge gaps and offers insights into potential directions for future research. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-20 DOI: 10.1108/ECAM-10-2023-1022 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Nguyen Van Tam Abstract: Though widely recognized as essential for improving work performance across various domains, self-efficacy’s specific role in managing construction workforces remains understudied. This knowledge gap restricts our ability to uncover new factors that enhance workforce management effectiveness and ultimately boost construction labor productivity (CLP). To address this, our study proposes and tests a novel model. This model explores the impact mechanism of self-efficacy on CLP by investigating the mediating role of work motivation. By delving into this crucial yet underexplored area, we aim to provide valuable insights for construction project managers and researchers alike, paving the way for more effective workforce management strategies and consequently, improved CLP. This study utilizes a mixed-method approach, incorporating both qualitative and quantitative methodologies. Data from 112 rebar workers at five construction sites in Vietnam underwent analysis using Cronbach’s alpha, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) to examine the novel research model. The results indicate a positive and significant association between self-efficacy and CLP. Additionally, work motivation emerged as a full mediator in the relationship between self-efficacy and CLP. Specifically, individuals with higher self-efficacy set ambitious goals and invest more effort in their pursuit, leading to increased work motivation and, ultimately, heightened productivity levels. The significant implications of the current study extend to construction managers and policymakers alike. Construction managers can leverage the findings to devise targeted interventions aimed at enhancing the self-efficacy and work motivation of their workforce, potentially resulting in noteworthy enhancements in CLP. Policymakers, too, can benefit from these findings by formulating policies that actively support the cultivation of self-efficacy and work motivation among construction workers. Such policies have the potential to foster a more productive and efficient construction industry, aligning with the broader goals of workforce development and industry enhancement. This study expands existing knowledge by identifying the important role of self-efficacy in work performance enhancement and the mediating role of work motivation in terms of these relationships. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-20 DOI: 10.1108/ECAM-11-2023-1114 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Chunmei Fan, Xiaoyue Li Abstract: This study reveals the green building development path and analyzes the optimal government subsidy equilibrium through evolutionary game theory and numerical simulation. This was done to explore the feasible measures and optimal incentives to achieve higher levels of green building in China. First, the practice of green building in China was analyzed, and the specific influencing factors and incentive measures for green building development were extracted. Second, China-specific evolutionary game models were constructed between developers and homebuyers under the market regulation and government incentive mechanism scenarios, and the evolutionary paths were analyzed. Finally, real-case numerical simulations were conducted, subsidy impacts were mainly analyzed and optimal subsidy equilibriums were solved. (1) Simultaneously subsidizing developers and homebuyers proved to be the most effective measure to promote the sustainability of green buildings. (2) The sensitivity of developers and homebuyers to subsidies varied across scenarios, and the optimal subsidy level diminished marginally as building greenness and public awareness increased. (3) The optimal subsidy level for developers was intricately tied to the building greenness benchmark. A higher benchmark intensified the developer’s responsiveness to losses, at which point increasing subsidies were justified. Conversely, a reduction in subsidy might have been appropriate when the benchmark was set at a lower level. The expeditious advancement of green buildings holds paramount importance for the high-quality development of the construction industry. Nevertheless, the pace of green building expansion in China has experienced a recent deceleration. Drawing insights from the practices of green building in China, the exploration of viable strategies and the determination of optimal government subsidies stand as imperative initiatives. These endeavors aim to propel the acceleration of green building proliferation and materialize high-quality development at the earliest juncture possible. The model is grounded in China’s green building practices, which makes the conclusions drawn more specific. Furthermore, research results provide practical references for governments to formulate green building incentive policies. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-19 DOI: 10.1108/ECAM-06-2023-0622 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Ozan Okudan, Gökhan Demirdöğen, Zeynep Işık Abstract: The purpose of this study is to develop a decision-support framework that can be used by decision-makers to suspend public infrastructure projects. Additionally, the study also investigates how to select the most convenient infrastructure project for suspension. The proposed framework includes an extensive set of factors and a novel comparison mechanism that can reveal the most convenient infrastructure project to be suspended. A comprehensible literature review and focus group discussion (FGD) sessions were conducted to identify factors that should be considered for suspension. Then, the neutrosophic analytic hierarchy process (N-AHP) method was used to determine the relative importance of the factors. Finally, the proposed comparison mechanism was demonstrated through a hypothetical case study and Technique for order of preference by similarity to ideal solution (TOPSIS) analysis. Results showed that suspension decisions cannot be made merely based on “financial” factors. Instead, the other aspects, namely “Technical and managerial” and “Social and Environmental”, should also be taken into consideration. Second, factors related to the initial investment, cost of refinancing, cash flow, permits and approvals, insufficiency of bidders, degradation of the components, reputation, impact on stakeholders and criticality of the infrastructure were particularly elaborated as the most significant, needing the utmost attention of the decision-makers. Lastly, the results demonstrated that the proposed comparison mechanism has considerable potential to identify the most convenient infrastructure project for suspension. Public infrastructure projects are often under pressure due to the inflationary state and economic stagnation of countries after major crises. The suspension decision for infrastructure projects necessitates comprehensible assessments to consider all consequences. Studies have widely investigated the contractual and legal aspects of project suspension in light of existing literature. However, little effort has been devoted to identifying the factors that decision-makers should consider before suspending a particular infrastructure project. Furthermore, existing literature does not investigate how to select the most convenient infrastructure project for suspension either. Thus, by developing a specific suspension framework for infrastructure projects by considering various factors, this study is the earliest attempt to examine the contract suspension mechanism of public infrastructure projects. In this respect, the study significantly contributes to the theory of contract management domain and has important managerial implications. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-19 DOI: 10.1108/ECAM-08-2023-0795 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Hossam Mohamed Toma, Ahmed H. Abdeen, Ahmed Ibrahim Abstract: The equipment resale price plays an important role in calculating the optimum time for equipment replacement. Some of the existing models that predict the equipment resale price do not take many of the influencing factors on the resale price into account. Other models consider more factors that influence equipment resale price, but they still with low accuracy because of the modeling techniques that were used. An easy tool is required to help in forecasting the resale price and support efficient decisions for equipment replacement. This research presents a machine learning (ML) computer model helping in forecasting accurately the equipment resale price. A measuring method for the influencing factors that have impacts on the equipment resale price was determined. The values of those factors were measured for 1,700 pieces of equipment and their corresponding resale price. The data were used to develop a ML model that covers three types of equipment (loaders, excavators and bulldozers). The methodology used to develop the model applied three ML algorithms: the random forest regressor, extra trees regressor and decision tree regressor, to find an accurate model for the equipment resale price. The three algorithms were verified and tested with data of 340 pieces of equipment. Using a large number of data to train the ML model resulted in a high-accuracy predicting model. The accuracy of the extra trees regressor algorithm was the highest among the three used algorithms to develop the ML model. The accuracy of the model is 98%. A computer interface is designed to make the use of the model easier. The proposed model is accurate and makes it easy to predict the equipment resale price. The predicted resale price can be used to calculate equipment elements that are essential for developing a dependable equipment replacement plan. The proposed model was developed based on the most influencing factors on the equipment resale price and evaluation of those factors was done using reliable methods. The technique used to develop the model is the ML that proved its accuracy in modeling. The accuracy of the model, which is 98%, enhances the value of the model. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-16 DOI: 10.1108/ECAM-08-2023-0857 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Chau Ngoc Dang, Warit Wipulanusat, Peem Nuaklong, Boonsap Witchayangkoon Abstract: In developing countries, construction organizations are seeking to effectively implement green innovation strategies. Thus, this study aims to assess the importance of green innovation practices and develop a measurement model for quantifying the green innovation degrees of construction firms. A mixed-methods research approach is adopted. First, an extensive literature review is performed to identify potential green innovation items, which are then used to design a preliminary questionnaire. Next, expert interviews are conducted to pilot-test this questionnaire. Subsequently, by using a convenience non-probability sampling method, 88 valid responses are collected from construction firms in Vietnam. Then, one-sample and independent-samples t tests are employed to assess the importance of green innovation practices. Fuzzy synthetic evaluation (FSE) is also applied to quantitatively compare such practices. Finally, green innovation level (GIL) is proposed to measure the green innovation indexes and validated by a case study of seven construction firms. This study identifies 13 green innovation variables, of which several key practices are highlighted for small/medium and large construction firms. The results of FSE analysis indicate that green process innovation is the most vital green category in construction firms, followed by green product and management innovations, respectively. As a quantitative measure, GIL could allow construction firms to frequently evaluate their green innovation indexes, thereby promoting green innovation practices comprehensively. Hence, construction firms would significantly enhance green competitive advantages and increasingly contribute to green and sustainable construction developments. This research is one of the first attempts to integrate various green innovation practices into a comprehensive formulation. The established indexes offer detailed green innovation evaluations, which could be considered as valuable references for construction practitioners. Furthermore, a reliable and practical tool (i.e. GIL) is proposed to measure the GILs of construction firms in developing countries. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-15 DOI: 10.1108/ECAM-08-2023-0788 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Wenqi Mao, Kexin Ran, Ting-Kwei Wang, Anyuan Yu, Hongyue Lv, Jieh-Haur Chen Abstract: Although extensive research has been conducted on precast production, irregular component loading constraints have received little attention, resulting in limitations for transportation cost optimization. Traditional irregular component loading methods are based on past performance, which frequently wastes vehicle space. Additionally, real-time road conditions, precast component assembly times, and delivery vehicle waiting times due to equipment constraints at the construction site affect transportation time and overall transportation costs. Therefore, this paper aims to provide an optimization model for Just-In-Time (JIT) delivery of precast components considering 3D loading constraints, real-time road conditions and assembly time. In order to propose a JIT (just-in-time) delivery optimization model, the effects of the sizes of irregular precast components, the assembly time, and the loading methods are considered in the 3D loading constraint model. In addition, for JIT delivery, incorporating real-time road conditions in the transportation process is essential to mitigate delays in the delivery of precast components. The 3D precast component loading problem is solved by using a hybrid genetic algorithm which mixes the genetic algorithm and the simulated annealing algorithm. A real case study was used to validate the JIT delivery optimization model. The results indicated this study contributes to the optimization of strategies for loading irregular precast components and the reduction of transportation costs by 5.38%. This study establishes a JIT delivery optimization model with the aim of reducing transportation costs by considering 3D loading constraints, real-time road conditions and assembly time. The irregular precast component is simplified into 3D bounding box and loaded with three-space division heuristic packing algorithm. In addition, the hybrid algorithm mixing the genetic algorithm and the simulated annealing algorithm is to solve the 3D container loading problem, which provides both global search capability and the ability to perform local searching. The JIT delivery optimization model can provide decision-makers with a more comprehensive and economical strategy for loading and transporting irregular precast components. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-13 DOI: 10.1108/ECAM-04-2023-0372 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xiaowei Zhou, Yousong Wang, Enqin Gong Abstract: Given the increasing importance of engineering insurance, it is still unclear which specific factors can enhance the role of engineering insurance as a risk transfer tool. This study aims to propose a hybrid approach to identify and analyze the key determinants influencing the consumption of engineering insurance in mainland China. The empirical analysis utilizes provincial data from mainland China from 2008 to 2019. The research framework is a novel amalgamation of the generalized method of moments (GMM) model, the quantile regression (QR) technique and the random forest (RF) algorithm. This innovative hybrid approach provides a comprehensive exploration of the driving factors while also allowing for an examination across different quantiles of insurance consumption. The study identifies several driving factors that significantly impact engineering insurance consumption. Income, financial development, inflation, price, risk aversion, market structure and the social security system have a positive and significant influence on engineering insurance consumption. However, urbanization exhibits a negative and significant effect on the consumption of engineering insurance. QR techniques reveal variations in the effects of these driving factors across different levels of engineering insurance consumption. This study extends the research on insurance consumption to the domain of the engineering business, making theoretical and practical contributions. The findings enrich the knowledge of insurance consumption by identifying the driving factors specific to engineering insurance for the first time. The research framework provides a novel and useful tool for examining the determinants of insurance consumption. Furthermore, the study offers insights into the engineering insurance market and its implications for policymakers and market participants. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-13 DOI: 10.1108/ECAM-06-2023-0638 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Runze Yu, Li Ma Abstract: The paper covers mega infrastructure construction supply chain (MICSC) in Engineering-Procurement-Construction (EPC) projects, where the frequent occurrence of risk incidents has greatly affected human life. The research aims to establish a risk evaluation index system for MICSC in EPC projects, exploring what risk factors lead to risk incidents and measure the importance and causality of all these risk factors. The research applies a combination of quantitative and qualitative analysis methodology to process data sequentially. In the first place, risk factors for MICSC in EPC projects are extracted and identified from literature survey and expert interviews. In the second place, an integration model fuzzy Analytic Hierarchy Process (f-AHP) and fuzzy Decision-making Trial and Evaluation Laboratory (f-DEMATEL) is constructed to comprehensively analyze all these risk factors. 12 primary risk factors and 36 secondary risk factors comprise the risk evaluation index system for MICSC in EPC projects from 178 literature and 5 professionals. The results indicate that Political Situation (F1), Social Security (F2) and Management Mode (F8) are critical risk factors, where F1 and F2 are cause factors and F8 is an effect factor. There are three main contributions of this paper. First and foremost, from the perspective of the research content, no other study has been able to assess risk factors for MICSC in EPC projects, while embedding nine phases of the whole project life cycle and six subjects of stakeholders into a risk evaluation index system. Additionally, from the perspective of research method, a combined model incorporating f-AHP and f-DEMATEL is constructed to avoid the one-sidedness of a single model. Last but not least, from the perspective of practical significance, focusing on the critical risk factors, a series of effective measures are formulated to make appropriate management decisions for nodal enterprises of MICSC, which can improve their risk management capabilities. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-09 DOI: 10.1108/ECAM-05-2023-0472 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Anthony Olukayode Yusuf, Adedeji Afolabi, Abiola Akanmu, Homero Murzi, Andres Nieto Leal, Sheryl Ball, Andrea Ofori-Boadu Abstract: There is a growing mismatch between the skill demands of the industry and the offerings of academia. One way of reducing this mismatch is by improving collaborations between practitioners and instructors using web-networking platforms. However, it is important to understand practitioners’ considerations while collaborating with instructors. Therefore, this study identified these considerations in order to infer inputs for the design of the graphical user interface (GUI) of a web-based platform for connecting instructors and practitioners. A mixed method was adopted through a survey and focus group. A survey was used to capture practitioners’ considerations while collaborating with instructors for student development, and a focus group helped uncover an in-depth understanding of the study phenomena. The data were analyzed using descriptive and inferential statistics and thematic analysis. The results show the willingness of practitioners to collaborate with instructors for student development, the ways by which practitioners are willing to meet instructors' course-support needs and their considerations in deciding to do so. Slight differences were observed between the results of the survey and the focus group regarding the ranking of the practitioners’ considerations. The study highlighted demographic differences in practitioners’ considerations when deciding on meeting instructors' course-support needs. The results provide a basis to deduce the GUI inputs of web-networking platforms for connecting instructors and practitioners. This study revealed practitioners’ design needs and GUI inputs to facilitate the design of web-networking platforms for connecting instructors and practitioners. This study also contributes to user interface design principles, theories on individual differences and practitioners’ involvement in student professional development. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-06 DOI: 10.1108/ECAM-07-2023-0683 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Chi Zhang, Kun He, Wenjie Zhang, Ting Jin, Yibin Ao Abstract: To further promote application of BIM technology in construction of prefabricated buildings, influencing factors and evolution laws of willingness to apply BIM technology are explored from the perspective of willingness of participants. In this paper, a tripartite game model involving the design firm, component manufacturer and construction firm is constructed and a system dynamics method is used to explore the influencing factors and game evolution path of three parties' application of BIM technology, from three perspectives, cost, benefit and risk. The government should formulate measures for promoting the application of BIM according to different BIM application willingness of the parties. When pursuing deeper BIM application, the design firm should pay attention to reducing the speculative benefits of the component manufacturer and the construction firm. The design firm and the component manufacturer should pay attention to balancing the cost and benefit of the design firm while enhancing collaborative efforts. When the component manufacturer and the construction firm cooperate closely, it is necessary to pay attention to balanced distribution of interests of both parties and lower the risk of BIM application. This study fills a research gap by comprehensively investigating the influencing factors and game evolution paths of willingness of the three parties to apply BIM technology to prefabricated buildings. The research helps to effectively improve the building quality and construction efficiency, and is expected to contribute to the sustainability of built environment in the context of circular economy in China. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-06 DOI: 10.1108/ECAM-11-2022-1063 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Sara S. Badran, Ayman Bahjat Abdallah Abstract: The present research aims to investigate how lean project management (LPM) and agile project management (APM) affect project performance outcomes in the construction sector in Jordan. This study focuses on six key project performance outcomes, namely cost, time, quality, client satisfaction, innovation and responsiveness. The present study employed a quantitative approach to achieve the research objectives. Accordingly, a multi-item survey questionnaire was prepared to gather data from 392 project managers from construction companies in Jordan. The study’s model showed acceptable levels regarding reliability, validity, fit indices and discriminant validity. In order to test the hypotheses of this study, path analysis was employed using Amos 24.0 software. LPM demonstrated a remarkably high positive impact on cost performance. It also positively affected quality performance and client satisfaction. However, LPM insignificantly affected time, innovation and responsiveness performance measures. On the other hand, APM showed a notably high positive impact on innovation and responsiveness. The findings also revealed that APM positively impacted quality performance and client satisfaction. In addition, APM negatively impacted cost performance and insignificantly impacted time performance. This study is one of the first comprehensive studies to empirically examine the impact of both LPM and APM on various project performance outcomes in the construction industry in the context of a developing country. It reveals some similarities and differences between LPM and APM with regard to their impacts on project management outcomes. The findings are expected to guide managers in selecting the appropriate project management approach based on the desired performance outcomes. Accordingly, it offers important implications for project managers in construction companies. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-05 DOI: 10.1108/ECAM-05-2023-0470 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Zhaofeng Ye, Maxwell Fordjour Antwi-Afari, Algan Tezel, Patrick Manu Abstract: The impact of building information modeling (BIM) on various aspects of project management has attracted much attention in the past decade. However, previous studies have focused on a particular facet of project management (e.g., safety, quality, facility management) and within identified target journals. Despite numerous existing studies, there is limited research on the mainstream research topics, gaps and future research directions on BIM in project management. This study aims to conduct a bibliometric and science mapping review of published articles on BIM in project management and to identify mainstream research topics, research gaps and future research directions in this domain. A science mapping approach consisting of bibliometric search, scientometric analysis and qualitative discussion was used to analyze 521 journal articles that were retrieved from the Scopus database and related to BIM in project management. In the scientometric analysis, keyword co-occurrence analysis and document analysis were performed. This was followed by a qualitative discussion that seeks to propose a framework summarizing the interconnection between the mainstream research topics, research gaps and future research directions. Six mainstream research topics were found including (1) BIM-enabled advanced digital technologies, (2) BIM-based reinforcement and enhancement, (3) BIM and project composition, (4) BIM project elements and attributes, (5) BIM-based collaboration and communication and (6) BIM-based information and data. Moreover, this study discussed six research gaps, namely, (1) integration of BIM and other digital technologies, (2) future maturity of BIM applications in project management, (3) application of BIM in project components and processes, (4) role of BIM application in project elements and attributes, (5) impact of collaboration and communication in BIM application and (6) stability of information and data interaction. Furthermore, future research directions were discussed. The findings and proposed framework contribute to providing a deeper understanding to researchers, policymakers and practitioners in the development of related research and practice in the domain of BIM in project management, thus, promoting digital transformation in project management. Overall, it adds to the global knowledge domain in BIM and promotes the need for digital and data integration, BIM maturity and BIM collaboration. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-02 DOI: 10.1108/ECAM-04-2023-0355 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Seyed Ashkan Zarghami Abstract: Available studies on anticorruption practices in the construction industry are exploratory with a very limited theoretical basis. This paper aims to provide a solid theoretical foundation to examine situational factors that influence the corruption intentions of individuals and organizations in the construction industry. This paper conducts a systematic literature review to synthesize construction management literature that suggests anticorruption practices. The identified practices are then examined using two theoretical frameworks: the fraud diamond theory and Lange’s corruption control framework. The results of this research demonstrate how the four elements of the fraud diamond theory may trigger corrupt behavior in construction projects. The results also highlight conceptual distinctions among different means of corruption controls based on Lange’s corruption control framework. In addition, the findings of this research suggest that anticorruption practices should address (1) the incentives to act corruptly, (2) the normative means of corruption control, (3) the internal means of preventing corruption and (4) the shift in organizational culture. This paper departs from prior research on corruption in construction projects by (1) identifying a large spectrum of anticorruption practices, (2) presenting a detailed theoretical interpretation of these practices and (3) viewing anticorruption practices as multidimensional constructs, which, in turn, leads to novel ways of examining these practices in construction projects. Citation: Engineering, Construction and Architectural Management PubDate: 2024-02-01 DOI: 10.1108/ECAM-10-2023-0988 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Olubukola Tokede, Anastasia Globa Abstract: This paper bridges the gap between the theory and practice by developing a life cycle sustainability tracker (LCST). The study is seeking to proffer solutions to an observed shortcoming of conventional life cycle sustainability assessment (LCSA) communication platforms. Notably, the static nature of the information provided on such platforms has made it difficult for them to be used for real-time decision-making and predictions. The main aim of this paper is to develop a LCST that facilitates a dynamic visualisation of life cycle sustainability results and allows for an integrated benchmark across the dimensions of sustainability. The study leverages the model development capabilities of the design science research strategy in accomplishing a dynamic and novel communication platform. A life cycle thinking methodology and appropriate multicriteria decision approach (MCDA) is applied to accomplish a comprehensive, streamlined and replicable approach in mapping and tracking the progress of sustainable development goals (SDGs) in the National Infrastructure Pipeline (NIP) projects in India. It was found that: (1) The use of the LCST tracker provides a dynamic and holistic insight into the key LCSA indicators with clearly defined benchmarks to assess the impact on the SDG 11, (2) The NIP projects achieve an upward trend across all the regions, and the percentage of opportunities ranges from 11 to 24%, with the South experiencing the highest growth and the North having the minimal increase in percentage and (3) The assessment score (52–58%) provides performance metrics that align well with the LCST – which ranges between “Fair” and “Average” for all the regions in India. The novelty of this research is that the LCST provides a transparent and harmonised approach to reporting on the LCSA results. The LCST utilises heat maps and radial mapping to achieve an intuitive display of large amounts of highly heterogeneous data, thus allowing the synthesis of large sets of information compactly and with coherence. Progress towards the SDGs change on a yearly basis; hence, a dynamic LCSA tool provides a timely and the valuable context to map and track performance across different regions and contexts. Citation: Engineering, Construction and Architectural Management PubDate: 2024-01-31 DOI: 10.1108/ECAM-07-2023-0680 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Chuanjing Ju, Yan Ning, Yuzhong Shen Abstract: Safety professionals' primary job is to execute safety control measures towards frontline personnel, and previous studies focus on the effectiveness of such controls. Rare research efforts, however, have been devoted to the effectiveness of management control measures towards safety professionals themselves. This study aimed to fill up this knowledge gap by examining whether safety professionals under differing management control configurations differ in their work attitudes, including affective commitment, job satisfaction, career commitment and intention to quit. Drawing on a holistic view of control, five forms of management control, i.e. outcome control, process control, capability control, professional control and reinforcement, were investigated. A cross-sectional questionnaire survey targeting at construction safety professionals was conducted. The latent profile analysis approach was employed to identify how the five forms of management control are configured, i.e. identifying the distinctive patterns of control profiles. The Bolck–Croon–Hagenaars method was then used to examine whether safety professionals' work attitudes were different across the identified control profiles. Seven distinct control profiles were extracted from the sample of 475 construction safety professionals. The overall test of outcome means showed that mean levels of affective commitment, job satisfaction and intentions to quit were significantly different across the seven profiles. The largest that was also the most desirable subgroup was the high control profile (n = 161, 33.9%). The least desirable subgroups included the low control profile (n = 75, 15.8%) and the low capability and professional control profile (n = 12, 2.5%). Pairwise comparison suggested that capability, professional and process controls were more effective than outcome control and reinforcement. In theory, this study contributes to the burgeoning literature on how to improve the effectiveness of control measures targeted at safety professionals. The results suggested that effective management controls involve a fine combination of formal, informal, process and output controls. In practice, this study uncovers the ways in which managers leverage the efforts of safety professionals in achieving safety goals. Particularly, it informs managers that the control configurations, instead of isolated controls, should be executed to motivate safety professionals. Citation: Engineering, Construction and Architectural Management PubDate: 2024-01-30 DOI: 10.1108/ECAM-07-2023-0745 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Frank Ato Ghansah, Weisheng Lu Abstract: While the COVID-19 pandemic has impacted the construction industry, it is still unclear from prior studies about adequately positioning the quality assurance (QA) for the post-pandemic era and future pandemics, especially cross-border construction logistics and supply chain (Cb-CLSC). Thus, this study aims to develop a managerial framework to position the QA of Cb-CLSC during pandemics and post-pandemics by taking lessons from how COVID-19 has impacted the existing QA systems and has been managed successfully. This is achieved pragmatically through an embedded mixed-method design involving a literature review, survey and interview from experts within the Hong Kong SAR–Mainland China links, typically known as the world’s factory. The design is further integrated with the partial least squares structural equation modelling (PLS-SEM) approach. The study revealed 10 critical managerial practices (MPs) to position the QA to be adequate for the post-pandemic and during future pandemics, with the top three including “strict observance of government regulations (MP1)”, “planning ahead the period of quality assurance with the quarantine days in host countries (MP6)” and “modification of contract to cater for uncertainties (MP4)”. This attained a relatively good percentage agreement of 53% between the industry and academia. However, the top four MPs regarded as very effective include “implementing digital collaborative inspections with subcontractors and trades (MP8)”, “implementing a digital centralized document and issue management system (MP7)”, “strict observance to government regulations, including vaccination of workers, social distancing, use of prescribed nose masks, etc. (MP1)” and “planning ahead the period of quality assurance with the quarantine days in host countries (MP6)”. Two underlying components of the MPs were revealed as policy-process (PP)-related practices and people-technology-process (PTP)-related practices, and these can be modelled into a managerial framework capable of effectively positioning the QA to be adequate during pandemics through to the post-pandemic era. The findings of this study depicted significant theoretical and practical contributions to the proactive management of QA activities during pandemics through to the post-pandemic era. It could empower organisations to pay attention to smartly and innovatively balancing people, processes, pandemic policy and technology to inform decisions to effectively position the QA for the post-pandemic era and survive the risks of future pandemics. The study contributes to the body of knowledge in that it develops a managerial framework to position the QA of Cb-CLSC during pandemics and post-pandemics by taking lessons from how COVID-19 has impacted the existing QA systems and has been managed successfully. It is original research with invaluable primary data in the form of surveys and interviews from experts within the Hong Kong SAR–Mainland China links, typically known as the world’s factory. Citation: Engineering, Construction and Architectural Management PubDate: 2024-01-30 DOI: 10.1108/ECAM-10-2023-1050 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Libiao Bai, Xiaoyan Xie, Yichen Sun, Xue Qu, Xiao Han Abstract: Assessing project criticality in a project portfolio (PP) is of great practical significance to improve robustness from damage. While project criticality assessment has increased diversity in approaches, the understanding of vulnerable project impacts is still limited. To promote a better understanding of assessing project criticality, a vulnerability measurement model is constructed. First, integrating the tasks, projects and corresponding relationships among them, a project portfolio network (PPN) is constructed. Second, the project's vulnerability is measured by combining the topological structure and functional attributes. Third, project criticality is assessed by the vulnerability measurement results. Lastly, the proposed model is applied in a numerical example to illustrate its suitability and effectiveness. For academia, this study provides a novel perspective on project vulnerability measurement and expands project criticality assessment tools. For practitioners, the straightforward model provides an effective tool for assessing project criticality and contributes to enhancing project portfolio management (PPM). The impact of the task on the project is considered in this study. Topological structure and functional attributes are also integrated for measuring project vulnerability due to the impact of random attacks in an uncertain environment, providing a new perspective on the requirements of project criticality assessment and the measurement of project vulnerability. Citation: Engineering, Construction and Architectural Management PubDate: 2024-01-29 DOI: 10.1108/ECAM-06-2023-0619 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Mohamed Marzouk, Dina Hamdala Abstract: The aggressive competition in the real estate market forces real estate developers to tackle the challenge of selecting the best project construction phasing alternative. The real estate industry is characterized by high costs, high profit and high risks. The schedules of real estate projects are also characterized by having large number of repetitive activities that are executed over a long duration. The repetitiveness, long duration of execution, the high amounts of money involved and the high risk made it desirable to leverage the impact of changes in phasing plans on net present value of amounts incurred and received over the long execution and selling duration. This also changes the project progress, and delivery time as well as their respective impact on customer degree of satisfaction. This research addresses the problem of selecting the best phasing alternative for real estate development projects while maximizing customer satisfaction and project profit. The research proposes a model that generates all construction phasing alternatives and performs decision-making to rank all possible phasing alternatives. The proposed model consists of five modules: (1) Phasing Sequencing module, (2) Customer Satisfaction module, (3) Cash-In calculation module, (4) Cost Estimation module and (5) Decision-making module. A case study was presented to demonstrate the practicality of the model. The proposed model satisfies the real estate market's need for proper construction phasing plans evaluation and selection against the project's main success criteria, customer satisfaction and project profit. The proposed model generates all construction phasing alternatives and performs multi-criteria decision making to rank all possible phasing alternatives. It quantifies the score of the two previously mentioned criteria and ranks all solutions according to their overall score. The research proposes a model that assist real estate market's need for proper construction phasing plans evaluation and selection against the project's main success criteria, customer satisfaction and project profit. The proposed model can be used to conclude general guidelines and common successful practices to be used by real estate developers when deciding the construction phasing plan. In this study the model is based on business models where all the project units are sold, rental cases are not considered. Also, the budget limitations that might exist when phasing is not considered in the model computations. The model can be used as a complete platform that can hold all real estate project data, process revenues and cost information for estimating profit, plotting cash flow profiles, quantifying the degree of customer satisfaction attributable to each phasing alternative and providing recommendation showing the best one. The model can be used to conclude general guidelines and common successful practices to be used by real estate developers when tackling the challenge of selecting construction phasing plans. Citation: Engineering, Construction and Architectural Management PubDate: 2024-01-26 DOI: 10.1108/ECAM-12-2022-1146 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Kai Liu, Yuming Liu, Yuanyuan Kou Abstract: Inter-organizational collaboration is the organizational guarantee and key link to achieve the goals of megaproject management. Project governance has always played an important role in the construction of megaprojects, but the relationship between project governance and organizational collaboration is unclear. The purpose of this study is to explore the role paths of different project governance mechanisms in influencing the collaborative behaviors of stakeholders and collaborative performance and to elucidate the mechanism of project governance on inter-organizational collaboration. A conceptual framework was developed based on a comprehensive literature review, termed the structural equation model (SEM). The hypotheses of the model were tested based on data obtained from a questionnaire survey of 235 experts with experience in megaprojects within the construction industry in China. The results show that project governance positively contributes to the collaborative behavior of megaproject stakeholders and the collaborative performance of the project team. Collaborative behavior acts as a partial mediator between project governance and the collaborative performance of the megaproject inter-organization alliance. The complexity of the project modulates the relationship between the governance mechanism of the project and the collaborative behavior of the stakeholders, which affects the collaborative performance of the megaproject inter-organization alliance. The findings provide theoretical and practical implications for promoting positive collaborative behavior among stakeholders in megaproject selection and improving the collaborative performance of megaproject inter-organization alliances. Citation: Engineering, Construction and Architectural Management PubDate: 2024-01-26 DOI: 10.1108/ECAM-07-2023-0688 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Xin Jin, Geoffrey Shen, Lizi Luo, Xin Zhou Abstract: Modular integrated construction (MiC) is an innovative and effective manufacturing-based method of construction that has become the mainstream development direction of projects in Hong Kong (HK). However, large-scale promotion of MiC practice still needs efforts. A pressing concern is that the impact of relevant policies on stakeholders during project implementation is rarely explored in depth. Therefore, to fill the research gap, this study aims to investigate the influence of policies on stakeholders to drive the successful implementation of MiC in HK. This study uses a strategy of multiple methods. First, a comprehensively literature review and survey were adopted to identify critical policies and stakeholders. Second, semi-structured interviews with 28 experts were conducted to quantify their relationships. Third, three policy–stakeholder networks at initiation, planning and design and construction stages were established using social network analysis. Environmental protection policy, COVID-19 pandemic policy and environmental protection policy and quality acceptance standard for project completion are found to be the most important policies of the three stages, respectively. The HK government and developers are highlighted as prominent stakeholders influencing policy implementation at all three stages. The dynamics of the influence stakeholders receive from critical policies at different stages of MiC are discussed. Valuable recommendations are accordingly proposed to enhance the successful implementation of MiC projects from the perspective of various stakeholders. This study contributes to the body of knowledge by considering the mediating influence of stakeholders during policy implementation in the MiC uptake, and is valuable in helping policymakers to deeply understand the influence of policies to further forward successful MiC implementation and practicality in HK. Citation: Engineering, Construction and Architectural Management PubDate: 2024-01-22 DOI: 10.1108/ECAM-07-2023-0740 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Jingqi Zhang, Shaohua Jiang, Xiaomin Qi Abstract: The purpose of this paper is to conduct a comprehensive study on building, fire and evacuation, so as to effectively improve the efficiency of building fire evacuation and the management level of fire evacuation site. Make up for the difficulties of BIM technology in effectively connecting building information and fire data. First, this paper establishes a fire model and an evacuation model based on BIM information. Then, the safety index (SI) is introduced as a comprehensive index, and the IRI is established by integrating the SI function to evaluate the safety of evacuation routes. Based on these two indices, the IRI-based fire evacuation model is established. This study offers an Improved Risk Index (IRI)-based fire evacuation model, which may achieve effective evacuation in fire scenes. And the model is verified by taking the fire evacuation of a shopping center building as an example. This paper proposes a fire evacuation principle based on IRI, so that the relevant personnel can comprehensively consider the fire factors and evacuation factors to achieve the optimization of building design, thereby improving the fire safety of buildings. Citation: Engineering, Construction and Architectural Management PubDate: 2024-01-12 DOI: 10.1108/ECAM-09-2023-0923 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
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Authors:Iseoluwa Joanna Mogaji, Modupe Cecilia Mewomo, Francis Kwesi Bondinuba Abstract: While innovative building materials (IBM) have emerged as a promising solution for addressing the global construction industry’s environmental, economic and social challenges, their adoption is plagued with increasing challenges in the Nigerian construction industry (NCI). To provide practical strategies to overcome the present IBM challenges in the NCI, the barriers that hinder its successful adoption need detailed investigation. Consequently, this study examines the barriers that affect the adoption of IBM for sustainable construction (SC) in the NCI. A quantitative research approach was used to obtain primary data from 282 construction professionals, viz. architects, builders, engineers and quantity surveyors, via a closed-ended questionnaire survey. Data were analysed using a mean item score (descriptive analysis) and exploratory factor analysis (inferential analysis). The study revealed the top five most significant barriers to IBM adoption in the NCI. These barriers include lack of awareness and knowledge, learning/training period, cost and economic viability, lack of qualified staff and lack of end-user involvement. Factor analysis revealed five components of barriers: resource and policy-related barriers, perception and cultural-related barriers, organisational-related barriers, awareness and market-related barriers and resistance and stakeholder engagement-related barriers. The findings of this study have several practical implications for construction professionals, policymakers and other stakeholders in Nigeria. The study highlights the need for increased awareness and technical expertise to promote the adoption of IBM in the NCI. The study also recommends several practical strategies for overcoming the barriers to IBM adoption and promoting SC practices in Nigeria, such as fostering a positive perception of sustainable concepts, fostering stakeholder support and involvement and promoting a more conducive environment for adopting sustainable practices. The implication of this study transcends the local context, offering a model for other countries to consider, thereby contributing to a global shift towards sustainable construction practices. The findings highlight the critical role of societal attitudes and awareness in adopting IBM, suggesting the need for educational and awareness programmes to shift public and organisational perception. This shows the importance of cultural change and societal readiness to embrace sustainable construction practices. This study contributes significantly to knowledge of the barriers to adopting IBM for SC in NCI. Findings from the study will inform policymakers, industry professionals and other stakeholders about the key barriers that require attention and intervention, facilitating the initiatives to overcome these barriers effectively. Citation: Engineering, Construction and Architectural Management PubDate: 2024-12-09 DOI: 10.1108/ECAM-04-2024-0430 Issue No:Vol. 32, No. 13 (2024)
Hybrid journal * Containing 5 
Open Access article(s) in this issue *
