Subjects -> BUILDING AND CONSTRUCTION (Total: 139 journals)
    - BUILDING AND CONSTRUCTION (131 journals)
    - CARPENTRY AND WOODWORK (8 journals)

BUILDING AND CONSTRUCTION (131 journals)                     

Showing 1 - 35 of 35 Journals sorted alphabetically
A+BE : Architecture and the Built Environment     Open Access   (Followers: 26)
Academia : Architecture and Construction     Open Access   (Followers: 5)
ACI Structural Journal     Full-text available via subscription   (Followers: 23)
Advances in Building Education     Open Access   (Followers: 6)
Advances in Building Energy Research     Hybrid Journal   (Followers: 11)
Ambiente Construído     Open Access   (Followers: 1)
Anales de Edificación     Open Access  
Asian Journal of Civil Engineering     Hybrid Journal   (Followers: 3)
Australasian Journal of Construction Economics and Building     Open Access   (Followers: 9)
Baltic Journal of Real Estate Economics and Construction Management     Open Access   (Followers: 4)
Bautechnik     Hybrid Journal   (Followers: 1)
Beton- und Stahlbetonbau     Hybrid Journal   (Followers: 1)
Building & Management     Open Access   (Followers: 2)
Building Acoustics     Hybrid Journal   (Followers: 4)
Building Services Engineering Research & Technology     Hybrid Journal   (Followers: 3)
Buildings     Open Access   (Followers: 10)
BUILT : International Journal of Building, Urban, Interior and Landscape Technology     Open Access   (Followers: 3)
Built Environment Inquiry Journal     Open Access  
Built Environment Project and Asset Management     Hybrid Journal   (Followers: 13)
Built-Environment Sri Lanka     Full-text available via subscription  
Case Studies in Construction Materials     Open Access   (Followers: 8)
Cement     Open Access   (Followers: 6)
Cement and Concrete Composites     Hybrid Journal   (Followers: 20)
Cement and Concrete Research     Hybrid Journal   (Followers: 20)
Challenge Journal of Concrete Research Letters     Open Access   (Followers: 5)
Challenge Journal of Concrete Research Letters     Open Access   (Followers: 4)
Change Over Time     Full-text available via subscription   (Followers: 3)
City, Culture and Society     Hybrid Journal   (Followers: 25)
Cityscape     Full-text available via subscription   (Followers: 10)
Clay Technology     Full-text available via subscription  
Concreto y cemento. Investigación y desarrollo     Open Access  
Construction Economics and Building     Open Access   (Followers: 4)
Construction Engineering     Open Access   (Followers: 9)
Construction Management and Economics     Hybrid Journal   (Followers: 24)
Construction Research and Innovation     Hybrid Journal   (Followers: 5)
Construction Robotics     Hybrid Journal   (Followers: 5)
Corporate Real Estate Journal     Full-text available via subscription   (Followers: 7)
Dams and Reservoirs     Hybrid Journal   (Followers: 4)
Developments in the Built Environment     Open Access   (Followers: 1)
Energy and Built Environment     Open Access  
Engineering Project Organization Journal     Hybrid Journal   (Followers: 6)
Engineering, Construction and Architectural Management     Hybrid Journal   (Followers: 14)
Environment and Urbanization Asia     Hybrid Journal   (Followers: 2)
Facilities     Hybrid Journal   (Followers: 7)
Frontiers in Built Environment     Open Access   (Followers: 3)
FUTY Journal of the Environment     Full-text available via subscription  
Glass Structures & Engineering     Hybrid Journal   (Followers: 1)
HBRC Journal     Open Access  
Housing and Society     Hybrid Journal   (Followers: 5)
HVAC&R Research     Hybrid Journal  
Indoor and Built Environment     Hybrid Journal   (Followers: 3)
Informes de la Construcción     Open Access  
Intelligent Buildings International     Hybrid Journal   (Followers: 2)
International Journal of Advanced Structural Engineering     Open Access   (Followers: 26)
International Journal of Air-Conditioning and Refrigeration     Hybrid Journal   (Followers: 12)
International Journal of Architectural Computing     Full-text available via subscription   (Followers: 6)
International Journal of Built Environment and Sustainability     Open Access   (Followers: 3)
International Journal of Concrete Structures and Materials     Open Access   (Followers: 10)
International Journal of Construction Engineering and Management     Open Access   (Followers: 9)
International Journal of Construction Management     Hybrid Journal   (Followers: 4)
International Journal of Disaster Resilience in the Built Environment     Hybrid Journal   (Followers: 5)
International Journal of Housing Markets and Analysis     Hybrid Journal   (Followers: 11)
International Journal of Masonry Research and Innovation     Hybrid Journal  
International Journal of Protective Structures     Hybrid Journal   (Followers: 6)
International Journal of River Basin Management     Hybrid Journal   (Followers: 1)
International Journal of Structural Stability and Dynamics     Hybrid Journal   (Followers: 9)
International Journal of Sustainable Building Technology and Urban Development     Hybrid Journal   (Followers: 14)
International Journal of Sustainable Construction Engineering and Technology     Open Access   (Followers: 8)
International Journal of Sustainable Real Estate and Construction Economics     Hybrid Journal   (Followers: 2)
International Journal of the Built Environment and Asset Management     Hybrid Journal   (Followers: 5)
International Journal of Ventilation     Full-text available via subscription  
Journal for Education in the Built Environment     Open Access   (Followers: 4)
Journal of Aging and Environment     Hybrid Journal   (Followers: 4)
Journal of Architecture, Planning and Construction Management     Open Access   (Followers: 12)
Journal of Asian Architecture and Building Engineering     Open Access  
Journal of Building Construction and Planning Research     Open Access   (Followers: 10)
Journal of Building Engineering     Hybrid Journal   (Followers: 5)
Journal of Building Materials and Structures     Open Access   (Followers: 2)
Journal of Building Pathology and Rehabilitation     Hybrid Journal  
Journal of Building Performance Simulation     Hybrid Journal   (Followers: 6)
Journal of Civil Engineering and Construction Technology     Open Access   (Followers: 14)
Journal of Civil Engineering and Management     Open Access   (Followers: 9)
Journal of Computational Acoustics     Hybrid Journal   (Followers: 5)
Journal of Computing in Civil Engineering     Full-text available via subscription   (Followers: 23)
Journal of Construction Business and Management     Open Access   (Followers: 2)
Journal of Construction Engineering     Open Access   (Followers: 11)
Journal of Construction Engineering, Technology & Management     Full-text available via subscription   (Followers: 8)
Journal of Facilities Management     Hybrid Journal   (Followers: 4)
Journal of Green Building     Full-text available via subscription   (Followers: 10)
Journal of Legal Affairs and Dispute Resolution in Engineering and Construction     Full-text available via subscription   (Followers: 4)
Journal of Property, Planning and Environmental Law     Hybrid Journal   (Followers: 8)
Journal of Structural Fire Engineering     Full-text available via subscription   (Followers: 4)
Journal of Sustainable Cement-Based Materials     Hybrid Journal  
Journal of Sustainable Design and Applied Research in Innovative Engineering of the Built Environment     Open Access   (Followers: 3)
Journal of the South African Institution of Civil Engineering     Open Access   (Followers: 2)
Journal of Transport and Land Use     Open Access   (Followers: 30)
Journal of Urban Technology and Sustainability     Open Access   (Followers: 3)
Landscape History     Hybrid Journal   (Followers: 18)
Materiales de Construcción     Open Access   (Followers: 1)
Mauerwerk     Hybrid Journal  
Modular and Offsite Construction (MOC) Summit Proceedings |     Open Access  
Naval Engineers Journal     Hybrid Journal   (Followers: 1)
Nordic Concrete Research     Open Access  
Open Construction & Building Technology Journal     Open Access  
PARC Pesquisa em Arquitetura e Construção     Open Access  
Proceedings of the Institution of Civil Engineers - Forensic Engineering     Hybrid Journal  
Proceedings of the Institution of Civil Engineers - Urban Design and Planning     Hybrid Journal   (Followers: 11)
Revista ALCONPAT     Open Access  
Revista de la Construcción     Open Access  
Revista de Urbanismo     Open Access   (Followers: 2)
Revista Hábitat Sustenable     Open Access  
Revista Ingenieria de Construcción     Open Access   (Followers: 1)
Revista INVI     Open Access  
RILEM Technical Letters     Open Access  
Room One Thousand     Open Access  
Ruang-Space: Jurnal Lingkungan Binaan (Journal of The Built Environment)     Open Access  
Russian Journal of Construction Science and Technology     Open Access  
Science and Technology for the Built Environment     Hybrid Journal  
Smart and Sustainable Built Environment     Hybrid Journal   (Followers: 9)
Steel Construction - Design and Research     Hybrid Journal   (Followers: 4)
Stroitel’stvo : Nauka i Obrazovanie     Open Access  
Structural Concrete     Hybrid Journal   (Followers: 5)
Structural Mechanics of Engineering Constructions and Buildings     Open Access   (Followers: 3)
Sustainable Buildings     Open Access   (Followers: 3)
Sustainable Cities and Society     Hybrid Journal   (Followers: 23)
Technology|Architecture + Design     Hybrid Journal  
Terrain.org : A Journal of the Built & Natural Environments     Free   (Followers: 3)
The Historic Environment : Policy & Practice     Hybrid Journal   (Followers: 4)
The IES Journal Part A: Civil & Structural Engineering     Hybrid Journal   (Followers: 5)
The Journal of Integrated Security and Safety Science (JISSS)     Open Access   (Followers: 5)
Tidsskrift for boligforskning     Open Access  

           

Similar Journals
Journal Cover
Engineering, Construction and Architectural Management
Journal Prestige (SJR): 0.653
Citation Impact (citeScore): 2
Number of Followers: 14  
 
Hybrid Journal Hybrid journal   * Containing 5 Open Access Open Access article(s) in this issue *
ISSN (Print) 0969-9988 - ISSN (Online) 1365-232X
Published by Emerald Homepage  [362 journals]
  • Requirement engineering and project performance: mediating effect of
           communication effectiveness, change readiness, stakeholder engagement and
           moderating effect of team cohesion

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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)
       
  • Mitigating the aftermath of relationship conflict between the owners and
           contractors: a contract enforcement approach

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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)
       
  • Efficiency of construction waste and carbon reduction in the construction
           industry: based on improved three stage SBM-DEA model in China

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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)
       
  • Enhancing project portfolio selection for construction holding firms: a
           multi-objective optimization framework with risk analysis

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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)
       
  • Performance barriers and competence development of graduate architects in
           construction contract administration (CCA): the mediating role of CCA
           skills

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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)
       
  • Comprehensive evaluation of digital technology's effects on the supply
           chain of prefabricated construction

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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)
       
  • Public perceived efficacy of emergency infrastructure project:
           antecedents in a triadic reciprocal determinism

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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)
       
  • Examining the relationship between construction fatalities and the
           construction economy in China: a three-decade analysis

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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)
       
  • Integrated measurement of public safety risks in international
           construction projects in the belt and road initiative

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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)
       
  • An intelligent framework for rework risk identification in prefabricated
           construction processes based on compliance checking

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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)
       
  • Unlocking determinants of smart construction: an integrated model of
           UTAUT2, TTF, and perceived risk for IoT acceptance in AEC industry

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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)
       
  • Uncovering value creation factors for healthcare public-private
           partnership (PPP) projects

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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)
       
  • Improving professional development through building contract
           administration (BCA) framework of housing projects for graduate
           architects

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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)
       
  • Improving project management “closeout” phase outcomes: evidence from
           a large general contractor in Iran using “X-inefficiency theory”

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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)
       
  • Exploring determinants of residents’ participation intention towards
           smart community construction by extending the TPB: a case study of
           Shenzhen city

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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)
       
  • Design of safety warnings and risk perception inducement: a comparative
           study between safety signs and safety comics in construction workplaces

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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)
       
  • An MCDM analysis of critical success criteria for medium and large
           construction projects in Australia and New Zealand

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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)
       
  • Analyzing the drivers of the low-carbon construction supply chain based on
           an integrated DEMATEL–ANP approach

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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)
       
  • Examining the effectiveness of knowledge governance mechanisms in mobile
           messaging groups within construction project teams

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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)
       
  • Key barriers and mitigation strategies towards sustainable prefabricated
           construction – a case of developing economies

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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)
       
  • Improving collaborative innovation performance in megaprojects: a system
           dynamic approach

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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)
       
  • Aided design decision-making framework for engineering projects
           considering cost and social benefits

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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)
       
  • Impact of construction workers informal safety communication (CWISC) on
           safety performance on construction sites

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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)
       
  • Evolutionary game of incentive strategy for Chinese prefabricated
           buildings based on system dynamics from the perspective of prospect
           theory

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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)
       
  • Critical risk management strategies for the operation of public–private
           partnerships: a vulnerability perspective of infrastructure projects

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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)
       
  • Optimizing time and cost in construction projects with a hybridized
           multi-verse optimizer and opposition-based learning

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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)
       
  • A framework for assessing stakeholder interface health in complex capital
           projects

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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)
       
  • Modification of HFACS model for path identification of causal factors of
           collapse accidents in the construction industry

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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)
       
  • To internalize or not' Addressing key differences between Turkish migrant
           and native workers in construction employment

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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)
       
  • Enabling near-real-time safety glove detection through edge computing and
           transfer learning: comparative analysis of edge and cloud computing-based
           methods

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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)
       
  • Advancing social practice understandings of digital innovation delivery in
           construction project management

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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)
       
  • Artificial intelligence-based pre-conception stage construction budget
           decision-making model and tool for residential buildings

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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)
       
  • Refugees', asylum seekers' and migrants' experiences of finding meaningful
           work in the Australian construction industry: a Bourdieusean analysis

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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)
       
  • Introducing a novel decision support system to enhance performance in
           infrastructure sanitation projects within the construction industry

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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)
       
  • Peer effects in internationalization of engineering enterprises:
           moderating analyses and heterogeneity tests

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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)
       
  • How to reduce construction risks in rural areas: an evolutionary game
           analysis

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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)
       
  • Computer vision-based real-time monitoring for swivel construction of
           bridges: from laboratory study to a pilot application

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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)
       
  • Defect modelling and correlation mapping for bridge inspection

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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)
       
  • Paths to BIM-based digital transformation: a bibliometric and systematic
           review of critical factors

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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)
       
  • Construction industry changes induced by the COVID-19 pandemic

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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)
       
  • Empowering architecture, engineering and construction students through
           building information modeling competitions: a deep dive into behavioral
           motivation

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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)
       
  • From here to where: assessing the infrastructure financialization in
           urban China

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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)
       
  • Evolutionary game analysis of collaborative application of BIM platform
           from the perspective of value co-creation

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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)
       
  • Work–family conflict and high-quality relationships in construction
           project management: the effect of job and life satisfaction

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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)
       
  • Working from home during the COVID-19 pandemic and gender differences: a
           case of construction workforce in Australia

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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)
       
  • Development of a digital transformation maturity model for the
           construction industry

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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)
       
  • Supportive communication between apprentices and supervisors: development
           of a digital role play game

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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)
       
  • Optimising construction waste management in Sri Lanka through Circular
           economy strategies: a focus on construction and renovation and use and
           operate stages

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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)
       
  • Evaluation of time allocated for bid preparation in national competitive
           bidding in the Sri Lankan construction industry

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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)
       
  • Exploring critical success factors for digital transformation in
           construction industry–based on TOE framework

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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)
       
  • Dynamic assessment of the abatement effects of the low-carbon practices in
           the prefabricated building supply chain

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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)
       
  • Using fuzzy cognitive maps to explore the dynamic impact on management
           team resilience in international construction projects

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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)
       
  • Integrating GIS and BIM with MCDM for infrastructure planning: a
           comprehensive framework

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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)
       
  • Automated compliance checking for BIM models based on Chinese-NLP and
           knowledge graph: an integrative conceptual framework

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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)
       
  • Developing a multidimensional risk assessment model for sustainable
           construction projects

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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)
       
  • Consumer purchase intention for extrinsic and intrinsic cues of
           construction and demolition waste recycled products

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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)
       
  • Digital technology-enabled AEC project management: practical use cases,
           deployment patterns and emerging trends

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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)
       
  • Automatic lift path planning of prefabricated building components using
           semantic BIM, improved A* and GA

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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)
       
  • Multi-objective planning for time-cost trade-offs in multi-project
           parallel environment

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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)
       
  • Bridging the gap: assessing the person-organization fit between BIM
           education and industry expectations in Australia

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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)
       
  • Can ChatGPT exceed humans in construction project risk
           management'

         This is an Open Access Article Open Access Article

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      Authors: Roope Nyqvist, Antti Peltokorpi, Olli Seppänen
      Abstract: The objective of this research is to investigate the capabilities of the ChatGPT GPT-4 model, a form of artificial intelligence (AI), in comparison to human experts in the context of construction project risk management. Employing a mixed-methods approach, the study draws a qualitative and quantitative comparison between 16 human risk management experts from Finnish construction companies and the ChatGPT AI model utilizing anonymous peer reviews. It focuses primarily on the areas of risk identification, analysis, and control. ChatGPT has demonstrated a superior ability to generate comprehensive risk management plans, with its quantitative scores significantly surpassing the human average. Nonetheless, the AI model's strategies are found to lack practicality and specificity, areas where human expertise excels. This study marks a significant advancement in construction project risk management research by conducting a pioneering blind-review study that assesses the capabilities of the advanced AI model, GPT-4, against those of human experts. Emphasizing the evolution from earlier GPT models, this research not only underscores the innovative application of ChatGPT-4 but also the critical role of anonymized peer evaluations in enhancing the objectivity of findings. It illuminates the synergistic potential of AI and human expertise, advocating for a collaborative model where AI serves as an augmentative tool, thereby optimizing human performance in identifying and managing risks.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-03-25
      DOI: 10.1108/ECAM-08-2023-0819
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2024)
       
  • Establishing the characteristics of mental toughness among
           construction professionals

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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)
       
  • Applications of digital twin technology in construction safety risk
           management: a literature review

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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)
       
  • Prosperity or futility' Effects of micro-regeneration on
           neighborhood commercial vitality

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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)
       
  • Predicting structure performance of urban critical infrastructure:
           an augmented attention-based LSTM model

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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)
       
  • Conceptualization and measurement of owner BIM capabilities: from a
           project owner organization perspective

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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)
       
  • Construction hazard-recognition training for generation Z students: a
           comparison study based on eye-movement data

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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)
       
  • Analysing the interplay of isomorphic pressures, perceived benefits and
           top management support on social responsibility performance of Belt and
           Road megaprojects

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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)
       
  • The effect of augmented reality applied to learning process with different
           learning styles in structural engineering education

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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)
       
  • Exploring the both-and success paradox in mega construction projects:
           multi-dimensional assessments of paradoxical leadership, project agility
           and megaproject success

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      Authors: Umer Zaman, Laura Florez-Perez, Saba Abbasi, Muhammad Shahid Nawaz
      Abstract: Organizations are full of contradictions and leadership dilemmas. Managers often face challenges such as selecting between two contradicting options such that which one is more important can hardly be judged. To manage contradicting dynamics, today’s managers can adopt the paradoxical leadership approach. We build a theoretical model to investigate the influence of paradoxical leadership on multi-dimensional project agility (proactivity, adaptability, and resilience), and multi-dimensional project success (management, investment, and ownership success). Drawing on survey-based data from the China–Pakistan Economic Corridor (CPEC) megaproject (N = 209), we performed covariance-based structural equation modeling to test the conceptual model. The findings show that (1) paradoxical leadership has a significant positive impact on megaproject success, (2) paradoxical leadership has a significant positive influence on project agility, (3) project agility has a significant positive effect on megaproject success, and (4) project agility has a significant effect that mediates the link between paradoxical leadership and megaproject success. This research provides a theoretical and practical comprehension of paradoxical leadership with a new perspective on megaprojects. This study provides an extension of the existing studies on paradoxical leadership and identifies the role of contradicting dynamics and their impact on multiple facets of megaproject success. It not only clarifies the relationship between paradoxical leadership and megaproject success, but also identifies the mediating role of project agility that can play an effective role in mobilizing success in megaprojects.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-03-14
      DOI: 10.1108/ECAM-12-2022-1165
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2024)
       
  • Beyond the operating room: built environment design knowledge supportive
           of resilient surgical services

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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)
       
  • Effective leadership styles to boost employees’ work outcomes during
           COVID-19 pandemic: perspective of facilities management professionals

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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)
       
  • Heterogeneity in stakeholder's perceptions on delays in infrastructure
           projects: scenario of Bangladesh

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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)
       
  • Impacts of leader anger expressions on newcomer proactive career behavior
           and work alienation in the construction industry

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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)
       
  • Does owners’ leadership matter to relational behavior in mega
           construction projects' A role orientation perspective

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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)
       
  • Key performance indicators for hospital planning and construction: a
           systematic review and meta-analysis

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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)
       
  • A configuration analysis on knowledge transfer between projects: from
           horizontal and vertical perspectives

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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)
       
  • Diffusion of BIM policies in China: an event history analysis

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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)
       
  • Assessment criteria for inter-organizational collaboration in
           interconnected infrastructure projects

         This is an Open Access Article Open Access Article

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      Authors: Maryam R. Nezami, Mark L.C. de Bruijne, Marcel J.C.M. Hertogh, Hans L.M. Bakker
      Abstract: Societies depend on interconnected infrastructures that are becoming more complex over the years. Multi-disciplinary knowledge and skills are essential to develop modern infrastructures, requiring close collaboration of various infrastructure owners. To effectively manage and improve inter-organizational collaboration (IOC) in infrastructure construction projects, collaboration status should be assessed continually. This study identifies the assessment criteria, forming the foundation of a tool for assessing the status of IOC in interconnected infrastructure projects. A systematic literature study and in-depth semi-structured interviews with practitioners in interconnected infrastructure construction projects in the Netherlands are performed to identify the criteria for assessing the status of IOC in infrastructure construction projects, based on which an assessment tool is developed. The identified assessment criteria through the literature and the practitioner’s perspectives results in the designing and development of a collaboration assessment tool. The assessment tool consists of 12 criteria and 36 sub-criteria from three different categories of collaborative capacity: individual, relational, and organizational. The assessment tool enables practitioners to monitor the status of IOC between infrastructure owners and assists them in making informed decisions to enhance collaboration. The assessment tool provides the opportunity to assess and analyze the status of collaboration based on three categories (i.e., individual, relational, and organizational).
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-02-27
      DOI: 10.1108/ECAM-11-2022-1109
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2024)
       
  • Occupational health risk assessment of PC production-caused pollution
           based on damage assessment and cyclic mitigation model

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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)
       
  • Influencing factors and improvement strategies of supply chain resilience
           of prefabricated construction from the perspective of dynamic
           capabilities: the case of China

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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)
       
  • A hybrid spherical fuzzy AHP-MARCOS model for evaluating the condition of
           saltwater pipes in Hong Kong

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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)
       
  • Evaluation of risk factors affecting the safety of coal
           mine construction projects using an integrated DEMATEL-ISM approach

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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)
       
  • A comprehensive review of delay analysis techniques for solving concurrent
           delays

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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)
       
  • Impact of self-efficacy on construction labor productivity: the mediating
           role of work motivation

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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)
       
  • Exploring effective incentive policies for sustainable development of
           green buildings in China: based on evolutionary game theory and numerical
           simulation analysis

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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)
       
  • A decision-support framework for suspension of public infrastructure
           projects: a combined use of neutrosophic AHP and TOPSIS

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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)
       
  • Predicting construction equipment resale price: machine learning model

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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)
       
  • Assessing green innovation practices in construction firms:
           a developing-country perspective

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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)
       
  • An optimization model for just-in-time (JIT) delivery of precast
           components considering 3D loading constraints, real-time road conditions
           and assembly time

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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)
       
  • Investigation of the factors driving engineering insurance consumption in
           China’s construction industry: a hybrid approach

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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)
       
  • Risk evaluation of mega infrastructure construction supply chain in
           engineering-procurement-construction projects: an integrated fuzzy AHP
           and fuzzy DEMATEL approach

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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)
       
  • Analysis of critical factors influencing sustainable infrastructure
           vulnerabilities using an ISM-MICMAC approach

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      Authors: Luwei Zhao, Qing’e Wang, Bon-Gang Hwang, Alice Yan Chang-Richards
      Abstract: The purpose of this study is to develop a new hybrid method that combines interpretative structural modeling (ISM) and matrix cross-impact multiplication applied to classification (MICMAC) to investigate the influencing factors of sustainable infrastructure vulnerability (SIV). (1) Literature review and case study were used to identify the possible influencing factors; (2) a semi-structured interview was conducted to identify representative factors and the interrelationships among influencing factors; (3) ISM was adopted to identify the hierarchical structure of factors; (4) MICMAC was used to analyze the driving power (DRP) and dependence power (DEP) of each factor and (5) Semi-structured interview was used to propose strategies for overcoming SIV. Results indicate that (1) 18 representative factors related to SIV were identified; (2) the relationship between these factors was divided into a five-layer hierarchical structure. The 18 representative factors were divided into driving factors, dependent factors, linkage factors and independent factors and (3) 12 strategies were presented to address the negative effects of these factors. The findings illustrate the factors influencing SIV and their hierarchical structures, which can benefit the stakeholders and practitioners of an infrastructure project by encouraging them to take effective countermeasures to deal with related SIVs.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-02-06
      DOI: 10.1108/ECAM-07-2022-0690
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2024)
       
  • Collaborations between industry and academia for future workforce
           development: construction practitioners’ perspective

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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)
       
  • Game evolution analysis of BIM application willingness of prefabricated
           construction parties

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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)
       
  • Lean vs agile project management in construction: impacts on project
           performance outcomes

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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)
       
  • Building information modeling (BIM) in project management: a bibliometric
           and science mapping review

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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)
       
  • Influencing factors and governance strategies of megaproject complexity
           based on fuzzy-set qualitative comparative analysis

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      Authors: Quntao Wu, Qiushi Bo, Lan Luo, Chenxi Yang, Jianwang Wang
      Abstract: This study aims to obtain governance strategies for managing the complexity of megaprojects by analyzing the impact of individual factors and their configurations using the fuzzy-set qualitative comparative analysis (fsQCA) method and to provide references for project managers. With the continuous development of the economy, society and construction industry, the number and scale of megaprojects are increasing, and the complexity is becoming serious. Based on the relevant literature, the factors affecting the complexity of megaprojects are determined through case analysis, and the paths of factors affecting the complexity are constructed for megaprojects. Then, the fsQCA method is used to analyze the factors affecting the complexity of megaprojects through 245 valid questionnaires from project engineers in this study. The results support the correlation between the complexity factors of megaprojects, with six histological paths leading to high complexity and seven histological paths leading to low complexity. It breaks the limitations of the traditional project complexity field through a “configuration perspective” and concludes that megaproject complexity is a synergistic effect of multiple factors. The study is important for enriching the theory of megaproject complexity and providing complexity governance strategies for managers in megaproject decision-making.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-02-02
      DOI: 10.1108/ECAM-12-2022-1203
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2024)
       
  • Anticorruption practices in construction projects: looking through
           two theoretical lenses

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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)
       
  • Life cycle sustainability tracker: a dynamic approach

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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)
       
  • How do different management control configurations influence construction
           safety professionals' work attitudes

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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)
       
  • Managerial framework for quality assurance of cross-border construction
           logistics and supply chain during pandemic and post-pandemic: lessons from
           COVID-19 in the world’s factory

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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)
       
  • Assessing project criticality in project portfolio: a vulnerability
           modeling approach

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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)
       
  • Phasing real estate projects considering profitability and customer
           satisfaction

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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)
       
  • External drivers of inter-organizational collaboration in megaproject: a
           perspective based on project governance

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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)
       
  • What affects the corporate social responsibility practices of Chinese
           international contractors considering dynamic interactions' A hybrid
           structural equation modeling–fuzzy cognitive map approach

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      Authors: Xiaoxu Dang, Mengying Wang, Xiaopeng Deng, Hongtao Mao, Pengju He
      Abstract: Corporate social responsibility (CSR) practices frequently result in increased costs for Chinese international contractors (CICs), where profitability is the primary objective; therefore, internal corporate drivers and external pressures play a crucial role in encouraging them to engage in sustainable CSR practices. This study systematically examines the dynamic impact of internal and external stakeholders on the CSR practices of CICs. This study adopted a structural equation model (SEM) to identify and validate a correlation between stakeholders and CSR practices. Standardized causal coefficients estimated in SEM were used to construct a fuzzy cognitive map (FCM) model to illustrate the effect of stakeholders on CSR practices with linkage direction and weights. Predictive, diagnostic, and hybrid analyses were performed to dynamically model the variation in stakeholders on the evolution of CSR practices. The empirical results demonstrate that (1) employee participation in CSR has the greatest impact on CSR practices, followed by CSR strategies, partner and customer expectations, and finally government regulations. (2) In the early stage of CSR fulfillment, CSR strategies have the greatest influence on CSR practices; in the later stage of CSR fulfillment, employee participation in CSR has the greatest influence on CSR practices. (3) In the long run, the most effective and economical integrated interventions are those that address employee participation in CSR, partner expectations and customer expectations, and intervention in CSR strategies is needed if the level of CSR practice needs to be improved in the short term. This study contributes to the research on the influence mechanisms of CSR practices of CICs and systematically analyzes their dynamic influence on CSR practices of CICs from the perspective of stakeholders.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-01-23
      DOI: 10.1108/ECAM-06-2023-0615
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2024)
       
  • Influence of policies on stakeholders to drive the success of modular
           integrated construction in Hong Kong

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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)
       
  • Leveraging blockchain to anchor information for supervision in PPP
           projects: a conceptual framework

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      Authors: Yanhui Du, Jingfeng Yuan, ShouQing Wang, Yan Liu, Ningshuang Zeng
      Abstract: The information used for supervision by regulatory departments in public-private partnership (PPP) projects is primarily transmitted and processed by the PPP implementation department, which negatively impacts the information quality, leading to information asymmetry and undermining the overall effectiveness of supervision. This study aims to explore how to use blockchain to anchor the information used for supervision in PPP projects to the original information, to strengthen the oversight. This paper adopts the principles of design science research (DSR) to design a conceptual framework that systematically organizes information along the information dissemination chain, ensuring the reliable anchoring of original information. Two-stage interviews involving experts from academia and industry are conducted, serving as formative and summative evaluations to guide the design. The framework establishes a weak-centralized information organizing mode, including the design of governance community and on-chain and off-chain governance mechanisms. Feedback from experts is collected via interviews and the designed framework is thought to improve information used for supervision. Constructive suggestions are also collected and analyzed for further development. This paper provides a novel example exploring the inspirations blockchain can bring to project governance, like exercising caution regarding the disorderly expansion of public sector authority in addressing information disadvantages and how to leverage blockchain to achieve this. Technical details conveyed by the framework deepen understanding of how blockchain benefits and the challenges faced in successful implementation for practitioners and policymakers. The targeted evaluation serves as rigorous validation, guiding experts to provide reliable feedback and richer insights by offering them a more cognitively convenient scenario.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-01-22
      DOI: 10.1108/ECAM-07-2023-0758
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2024)
       
  • How optimal trust–dependence nexus facilitates relational behavior in
           contractor–subcontractor collaboration: a configurational analysis

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      Authors: Shaoyan Wu, Mengxiao Liu, Duo Zhao, Tingting Cao
      Abstract: Although trust is generally taken as a fundamental factor in influencing relational behavior in contractor–subcontractor collaboration, the determination of an optimal level of trust is still lacking. Trust with an optimal tipping point that matches dependence best is considered the optimal trust to improve relational behavior between general contractors and subcontractors. To fill the knowledge gap, this study explores how combinations of trust and dependence trigger relational behavior between general contractors and subcontractors through a configurational approach. Questionnaires were administered to 228 middle management and technical staff members of the general contractor. The data were analyzed using fuzzy-set qualitative comparative analysis (fsQCA), and the inductive analytic method allowed researchers to explore configurations of different dimensions and levels of dependence and trust. Necessity analysis results indicated that neither dependence nor trust was a necessary condition for facilitating relational behavior. Through sufficiency analysis, four configurations of optimal trust matched with dependence were identified in contractor–subcontractor collaboration. Even if contractors rely only on subcontractors for resources, the optimal trust between contractors and subcontractors should include both institution- and cognition-based trust. In the event that contractor–subcontractor collaboration involves relational dependence, both affect- and cognition-based trust are necessary for the optimal trust. This study enhances existing research by delving deeper into a nuanced understanding of optimal trust in dependence scenarios, and enriches project governance theory by uncovering the internal transmission of relational governance. Practically, this study offers general contractors guidance on how to establish optimal trust strategies based on the dual dependence level with subcontractors, which can facilitate subcontractors' relational behavior, and ultimately improve contractor–subcontractor collaboration performance.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-01-19
      DOI: 10.1108/ECAM-07-2023-0653
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2024)
       
  • Work–family conflict and work engagement among construction
           professionals: role of psychological contract breach and gender

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      Authors: Upasna A. Agarwal, Rupashree Baral, Mansi Rastogi
      Abstract: Work–family conflict (WFC) is rife among construction professionals, leading to a significant negative impact on their work engagement. Building on an extant body of research, this study provides nuanced insights into the link between WFC, work–life balance (WLB) and work engagement and identifies the boundary conditions of these relationships. Data were collected from 257 dyads of construction professionals and their immediate supervisors from a sample of five construction firms based in India using an online survey. The results found that WLB mediates the relationship between WFC and work engagement, and the relationship is controlled by professionals' gender and perceptions of psychological contract breach (PCB). An important finding is that PCB accentuates the negative influence of WFC on work engagement via WLB. The study also reveals that the negative impact of WFC on WLB is stronger for women. The findings are relevant for construction firms since they are primarily dominated by men and continue to struggle to attract more women professionals. The study insights provide avenues to expand existing research on the relationship between WFC and work engagement and offer managerial implications for improving construction professionals' work engagement in the high-pressure context of the construction industry. The study significantly advances the underdeveloped literature on work–family interface, especially in the unique work settings of the construction industry, by establishing WFC as a predictor and revealing how engagement at work is affected. It highlights the importance of boundary conditions such as gender and PCB. It is one of the first to assess the relationship between WFC, WLB, PCB and work engagement among construction professionals in India.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-01-12
      DOI: 10.1108/ECAM-02-2023-0181
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2024)
       
  • Enhancing fire safety with Improved Risk Index and BIM in building
           evacuation

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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)
       
  • Exploring the application of PLS-SEM in construction management research:
           a bibliometric and meta-analysis approach

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      Authors: Sachin Batra
      Abstract: The partial least squares structural equation modeling (PLS-SEM) approach for construction management (CM) scholars has become the preferred approach for its capability of assessing the complex relationship and relaxed normality and sample size assumptions. This paper systematically maps the structure of knowledge about PLS-SEM in CM using bibliometric analysis. Also, the study employs meta-analysis to explore how data and model characteristics, model evaluation and advanced modeling techniques have been utilized in the CM domain. This study integrated two methods: bibliometric analysis on a sample of 211 articles identified using the PRISMA framework and meta-analysis on 163 articles identified based on the availability of full-length articles and relevant information. The results revealed the leading knowledge formation entities (countries, institutions, authors, sources and documents). Also, the study employs full content analysis to identify six research themes, and meta-analysis is used to explore the use of PLS-SEM based on the following criteria: (1) reasons for using PLS-SEM in CM, (2) data characteristics, (3) model characteristics and evaluation and (4) use of advanced modeling and analysis techniques. Further, the study uses regression analysis and identifies “advanced modeling and analysis techniques” as the critical feature responsible for the publication in a journal with high scientific prestige. Finally, the study presented the comprehensive guidelines to be used by construction management scholars who wish to use PLS-SEM in their research work. To the author’s knowledge, it is the first study of this kind to use PLS-SEM in CM research. This study provides an extensive analysis of the Scopus database and an in-depth review of the data characteristics, model characteristics and use of advanced modeling techniques in CM research.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-01-10
      DOI: 10.1108/ECAM-04-2023-0316
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2024)
       
  • Development of a project complexity measurement model for metro rail
           projects

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      Authors: Dara Sruthilaya, Aneetha Vilventhan, P.R.C. Gopal
      Abstract: The purpose of this research is to develop a project complexity index (PCI) model using the best and worst method (BWM) to quantitatively analyze the impact of project complexities on the performance of metro rail projects. This study employed a two-phase research methodology. The first phase identifies complexities through a literature review and expert discussions and categorizes different types of complexities in metro rail projects. In the second phase, BWM, a robust multi-criteria decision-making (MCDM) technique, was used to prioritize key complexities, and a PCI model was developed. Further, the developed PCI was validated through case studies, and sensitivity analysis was performed to check the accuracy and applicability of the developed PCI model. The analysis revealed that location complexity exerted the most substantial influence on project performance, followed by environmental, organizational, technological and contractual complexities. Sensitivity analysis revealed the varying impacts of complexity indices on the overall project complexity. The study's findings offer a novel approach for measuring project complexity's impact on metro rail projects. This allows stakeholders to make informed decisions, allocate resources efficiently and plan strategically. The existing studies on project complexity identification and quantification were limited to megaprojects other than metro rail projects. Efforts to quantitatively study and analyze the impact of project complexity on metro rail projects are left unattended. The developed PCI model and its validation contribute to the field by providing a definite method to measure and manage complexity in metro rail projects.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-01-09
      DOI: 10.1108/ECAM-08-2023-0845
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2024)
       
  • How job satisfaction affects professionalization behavior
           of new-generation construction workers: a model based on theory of
           planned behavior

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      Authors: Weishu Zhao, Peng Peng, Peng Peng, Hao Liu, Shiliu Wang, Wei Liu
      Abstract: The purpose of this study is to explore the influence mechanism of new-generation construction workers (NGCWs)’ job satisfaction on the professionalization behavior in China, through theory of planned behavior (TPB), and find the key path to promote the professionalization behavior of China’s construction workers. A theoretical model of influence mechanism was established through literature research and theoretical deduction based on TPB and structural equation model. The scale of variables was developed, and an empirical study was employed with a sample of 823 NGCWs in China. The results indicate that job satisfaction can positively affect NGCWs' professionalization behavior. Subjective norm, attitude and perceived behavior control play mediating roles in the influence process. Job satisfaction is more likely to act on professionalization behavior through subjective norm and behavioral intention. Research results sorely suggest a short-term law about the influence mechanism of NGCWs' job satisfaction on professionalization behavior through a questionnaire study from China’s construction industry. Future research ought to continue to use a longitudinal study to examine it over a considerable amount of time. The results also need to be verified using data from young construction workers in other nations. This study provides a theoretical basis and feasible management reference for government and construction enterprises in China to promote NGCWs' professionalization behavior from the perspective of job satisfaction. Furthermore, the promotion of NGCWs' job satisfaction and professionalization behavior can do good to building industrialization, sustainable development and high-quality transformation of labor force in the construction industry. This paper demonstrates the positive influence of job satisfaction on professionalization behavior of NGCWs and finds the most effective affecting path. It fills the research gap about the influence mechanism of job satisfaction on young construction workers' professionalization behavior and enriches the theoretical system of planned behavior of construction workers.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-01-09
      DOI: 10.1108/ECAM-09-2023-0931
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2024)
       
  • Transitioning young people into employment in the Australian construction
           industry: the trust-building role of project-based intermediaries

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      Authors: Geoff Woolcott, Martin Loosemore, Robyn Keast, Ariella Metzer, Suhair Alkilani
      Abstract: Construction is one of Australia’s largest employers of young people and the industry is facing a major labor shortage, with young people expected to account for much of the shortfall. Surprisingly however, there been little research into the pathways for young people into construction employment. The aim of this paper is to address this gap in research by exploring whether project-based intermediaries can support the development of disadvantaged young people’s trust in the often-problematic systems which are meant to help transition them into employment in construction. Employing an in-depth case study approach, this research mobilizes theories of personalized and generalized trust to report the results of interviews with 15 sectoral leaders; focus groups with 12 young people working in construction; and interviews with 11 young people being transitioned into construction employment through a unique project-based intermediary developed by a major Australian construction company as part of its social procurement requirements. Findings show that project-based intermediaries can play an important trust-building role in transitioning disadvantaged young people into work in construction. They do this by bridging a young person’s strong social ties (family and friendship) and weak social ties (with government and construction industry organizations), both of which can be problematic when used in isolation to seek employment in construction. By performing a crucial bridging role between a young person’s individual self-interest in acting alone to find work and their collective interest in being part of a collaborative group, the project-based intermediary creates a new form of linking social capital, enabling social procurement policies which target young people to work while also addressing wider systemic problems in Australia’s employment systems. This research addresses the lack of employment research into young people in construction and the paucity of theory in social procurement research more broadly. It takes an original approach in aligning theories related to a duality of personalized trust and generalized trust seen against the duality of individual intentionality and agency (self-focused) and shared intentionality and agency (group-focused). By doing so it provides new conceptual and practical insights into the important role that construction project-based intermediaries like the one studied here can play in providing innovative cross-sector and collaborative solutions to the world’s growing youth unemployment crisis.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-01-04
      DOI: 10.1108/ECAM-04-2023-0421
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2024)
       
  • Resource-constrained repetitive project scheduling with soft logic

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      Authors: Xin Zou, Zhuang Rong
      Abstract: In repetitive projects, repetition offers more possibilities for activity scheduling at the sub-activity level. However, existing resource-constrained repetitive scheduling problem (RCRSP) models assume that there is only one sequence in performing the sub-activities of each activity, resulting in an inefficient resource allocation. This paper proposes a novel repetitive scheduling model for solving RCRSP with soft logic. In this paper, a constraint programming model is developed to solve the RCRSP using soft logic, aiming at the possible relationship between parallel execution, orderly execution or partial parallel and partial orderly execution of different sub activities of the same activity in repetitive projects. The proposed model integrated crew assignment strategies and allowed continuous or fragmented execution. When solving RCRSP, it is necessary to take soft logic into account. If managers only consider the fixed logic between sub-activities, they are likely to develop a delayed schedule. The practicality and effectiveness of the model were verified by a housing project based on eight different scenarios. The results showed that the constraint programming model outperformed its equivalent mathematical model in terms of solving speed and solution quality. Available studies assume a fixed logic between sub-activities of the same activity in repetitive projects. However, there is no fixed construction sequence between sub-activities for some projects, e.g. hotel renovation projects. Therefore, this paper considers the soft logic relationship between sub-activities and investigates how to make the objective optimal without violating the resource availability constraint.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-01-02
      DOI: 10.1108/ECAM-08-2022-0703
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2024)
       
  • Integrating the stochastic multiproject scheduling and material ordering
           problems for offshore projects: multiagent optimization methodology

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      Authors: Masoud Parsi, Vahid Baradaran, Amir Hossein Hosseinian
      Abstract: The purpose of this study is to develop an integrated model for the stochastic multiproject scheduling and material ordering problems, where some of the prominent features of offshore projects and their environmental-degrading effects have been embraced as well. The durations of activities are uncertain in this model. The developed formulation is tri-objective that seeks to minimize the expected time, total cost and CO2 emission of all projects. A new version of the multiobjective multiagent optimization (MOMAO) algorithm has been proposed to solve the amalgamated model. To empower the MOMAO, various procedures of this algorithm have been modified based on the multiattribute utility theory (MAUT) technique. Along with the MOMAO, this study has employed four other meta-heuristic methodologies to solve the model as well. The outputs of the MOMAO have been put to test against four other optimizers in terms of convergence, diversity, uniformity and computation times. The results of the Mean Ideal Distance (MID) metric have revealed that the MOMAO has strongly prevailed its rival optimizers. In terms of diversity of the acquired solutions, the MOMAO has ranked the first among all employed optimizers since this algorithm has offered the best solutions in 56.66 and 63.33% of the test problems regarding the diversification metric and hyper-volume metrics. Regarding the uniformity of results, which is measured through the spacing metric (SP), the MOMAO has presented the best SP values in more than 96% of the test problems. The MOMAO has needed more computation times in comparison to its rivals. A real case study comprising two concurrent offshore projects has been offered. The proposed formulation and the MOMAO have been implemented for this case study, and their effectiveness has been appraised. Very few studies have focused on presenting an integrated formulation for the stochastic multiproject scheduling and material ordering problems. The model embraces some of the characteristics of the offshore projects which have not been adequately studied in the literature. Limited capacities of the offshore platforms and cargo vessels have been embedded in the proposed model. The offshore platforms have spatial limitations in storing the required materials. The vessels are also capacitated and they also have limited shipment capacities. Some of the required materials need to be transported from the base to the offshore platform via a fleet of cargo vessels. The workforces and equipment can become idle on the offshore platform due to material shortage. Various offshore-related costs have been integrated as a minimization objective function in the model. The cargo vessels release CO2 detrimental emissions to the environment which are sought to be minimized in the developed formulation. To the best of the authors' knowledge, the MOMAO has not been sufficiently employed as a solution methodology for the stochastic multiproject scheduling and material ordering problems.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-01-01
      DOI: 10.1108/ECAM-07-2023-0754
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2024)
       
  • Predicting construction project compliance with machine learning model:
           case study using Portuguese procurement data

         This is an Open Access Article Open Access Article

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      Authors: Luís Jacques de Sousa, João Poças Martins, Luís Sanhudo
      Abstract: Factors like bid price, submission time, and number of bidders influence the procurement process in public projects. These factors and the award criteria may impact the project’s financial compliance. Predicting budget compliance in construction projects has been traditionally challenging, but Machine Learning (ML) techniques have revolutionised estimations. In this study, Portuguese Public Procurement Data (PPPData) was utilised as the model’s input. Notably, this dataset exhibited a substantial imbalance in the target feature. To address this issue, the study evaluated three distinct data balancing techniques: oversampling, undersampling, and the SMOTE method. Next, a comprehensive feature selection process was conducted, leading to the testing of five different algorithms for forecasting budget compliance. Finally, a secondary test was conducted, refining the features to include only those elements that procurement technicians can modify while also considering the two most accurate predictors identified in the previous test. The findings indicate that employing the SMOTE method on the scraped data can achieve a balanced dataset. Furthermore, the results demonstrate that the Adam ANN algorithm outperformed others, boasting a precision rate of 68.1%. The model can aid procurement technicians during the tendering phase by using historical data and analogous projects to predict performance. Although the study reveals that ML algorithms cannot accurately predict budget compliance using procurement data, they can still provide project owners with insights into the most suitable criteria, aiding decision-making. Further research should assess the model’s impact and capacity within the procurement workflow. Previous research predominantly focused on forecasting budgets by leveraging data from the private construction execution phase. While some investigations incorporated procurement data, this study distinguishes itself by using an imbalanced dataset and anticipating compliance rather than predicting budgetary figures. The model predicts budget compliance by analysing qualitative and quantitative characteristics of public project contracts. The research paper explores various model architectures and data treatment techniques to develop a model to assist the Client in tender definition.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-04-26
      DOI: 10.1108/ECAM-09-2023-0973
      Issue No: Vol. 31, No. 13 (2024)
       
  • People, space use and objects: an UWB-based quantifying approach for
           post-occupancy evaluation of new architectural spaces

         This is an Open Access Article Open Access Article

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      Authors: Daniel Nygaard Ege, Pasi Aalto, Martin Steinert
      Abstract: This study was conducted to address the methodical shortcomings and high associated cost of understanding the use of new, poorly understood architectural spaces, such as makerspaces. The proposed quantified method of enhancing current post-occupancy evaluation (POE) practices aims to provide architects, engineers and building professionals with accessible and intuitive data that can be used to conduct comparative studies of spatial changes, understand changes over time (such as those resulting from COVID-19) and verify design intentions after construction through a quantified post-occupancy evaluation. In this study, we demonstrate the use of ultra-wideband (UWB) technology to gather, analyze and visualize quantified data showing interactions between people, spaces and objects. The experiment was conducted in a makerspace over a four-day hackathon event with a team of four actively tracked participants. The study shows that by moving beyond simply counting people in a space, a more nuanced pattern of interactions can be discovered, documented and analyzed. The ability to automatically visualize findings intuitively in 3D aids architects and visual thinkers to easily grasp the essence of interactions with minimal effort. By providing a method for better understanding the spatial and temporal interactions between people, objects and spaces, our approach provides valuable feedback in POE. Specifically, our approach aids practitioners in comparing spaces, verifying design intent and speeding up knowledge building when developing new architectural spaces, such as makerspaces.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-03-26
      DOI: 10.1108/ECAM-04-2023-0360
      Issue No: Vol. 31, No. 13 (2024)
       
  • Evaluating the impact of material service life on embodied energy
           of residential villas in the United Arab Emirates

         This is an Open Access Article Open Access Article

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      Authors: Abdul Rauf, Daniel Efurosibina Attoye, Robert H. Crawford
      Abstract: Recently, there has been a shift toward the embodied energy assessment of buildings. However, the impact of material service life on the life-cycle embodied energy has received little attention. We aimed to address this knowledge gap, particularly in the context of the UAE and investigated the embodied energy associated with the use of concrete and other materials commonly used in residential buildings in the hot desert climate of the UAE. Using input–output based hybrid analysis, we quantified the life-cycle embodied energy of a villa in the UAE with over 50 years of building life using the average, minimum, and maximum material service life values. Mathematical calculations were performed using MS Excel, and a detailed bill of quantities with >170 building materials and components of the villa were used for investigation. For the base case, the initial embodied energy was 57% (7390.5 GJ), whereas the recurrent embodied energy was 43% (5,690 GJ) of the life-cycle embodied energy based on average material service life values. The proportion of the recurrent embodied energy with minimum material service life values was increased to 68% of the life-cycle embodied energy, while it dropped to 15% with maximum material service life values. The findings provide new data to guide building construction in the UAE and show that recurrent embodied energy contributes significantly to life-cycle energy demand. Further, the study of material service life variations provides deeper insights into future building material specifications and management considerations for building maintenance.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2024-03-22
      DOI: 10.1108/ECAM-05-2023-0514
      Issue No: Vol. 31, No. 13 (2024)
       
 
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  Subjects -> BUILDING AND CONSTRUCTION (Total: 139 journals)
    - BUILDING AND CONSTRUCTION (131 journals)
    - CARPENTRY AND WOODWORK (8 journals)

BUILDING AND CONSTRUCTION (131 journals)                     

Showing 1 - 35 of 35 Journals sorted alphabetically
A+BE : Architecture and the Built Environment     Open Access   (Followers: 26)
Academia : Architecture and Construction     Open Access   (Followers: 5)
ACI Structural Journal     Full-text available via subscription   (Followers: 23)
Advances in Building Education     Open Access   (Followers: 6)
Advances in Building Energy Research     Hybrid Journal   (Followers: 11)
Ambiente Construído     Open Access   (Followers: 1)
Anales de Edificación     Open Access  
Asian Journal of Civil Engineering     Hybrid Journal   (Followers: 3)
Australasian Journal of Construction Economics and Building     Open Access   (Followers: 9)
Baltic Journal of Real Estate Economics and Construction Management     Open Access   (Followers: 4)
Bautechnik     Hybrid Journal   (Followers: 1)
Beton- und Stahlbetonbau     Hybrid Journal   (Followers: 1)
Building & Management     Open Access   (Followers: 2)
Building Acoustics     Hybrid Journal   (Followers: 4)
Building Services Engineering Research & Technology     Hybrid Journal   (Followers: 3)
Buildings     Open Access   (Followers: 10)
BUILT : International Journal of Building, Urban, Interior and Landscape Technology     Open Access   (Followers: 3)
Built Environment Inquiry Journal     Open Access  
Built Environment Project and Asset Management     Hybrid Journal   (Followers: 13)
Built-Environment Sri Lanka     Full-text available via subscription  
Case Studies in Construction Materials     Open Access   (Followers: 8)
Cement     Open Access   (Followers: 6)
Cement and Concrete Composites     Hybrid Journal   (Followers: 20)
Cement and Concrete Research     Hybrid Journal   (Followers: 20)
Challenge Journal of Concrete Research Letters     Open Access   (Followers: 5)
Challenge Journal of Concrete Research Letters     Open Access   (Followers: 4)
Change Over Time     Full-text available via subscription   (Followers: 3)
City, Culture and Society     Hybrid Journal   (Followers: 25)
Cityscape     Full-text available via subscription   (Followers: 10)
Clay Technology     Full-text available via subscription  
Concreto y cemento. Investigación y desarrollo     Open Access  
Construction Economics and Building     Open Access   (Followers: 4)
Construction Engineering     Open Access   (Followers: 9)
Construction Management and Economics     Hybrid Journal   (Followers: 24)
Construction Research and Innovation     Hybrid Journal   (Followers: 5)
Construction Robotics     Hybrid Journal   (Followers: 5)
Corporate Real Estate Journal     Full-text available via subscription   (Followers: 7)
Dams and Reservoirs     Hybrid Journal   (Followers: 4)
Developments in the Built Environment     Open Access   (Followers: 1)
Energy and Built Environment     Open Access  
Engineering Project Organization Journal     Hybrid Journal   (Followers: 6)
Engineering, Construction and Architectural Management     Hybrid Journal   (Followers: 14)
Environment and Urbanization Asia     Hybrid Journal   (Followers: 2)
Facilities     Hybrid Journal   (Followers: 7)
Frontiers in Built Environment     Open Access   (Followers: 3)
FUTY Journal of the Environment     Full-text available via subscription  
Glass Structures & Engineering     Hybrid Journal   (Followers: 1)
HBRC Journal     Open Access  
Housing and Society     Hybrid Journal   (Followers: 5)
HVAC&R Research     Hybrid Journal  
Indoor and Built Environment     Hybrid Journal   (Followers: 3)
Informes de la Construcción     Open Access  
Intelligent Buildings International     Hybrid Journal   (Followers: 2)
International Journal of Advanced Structural Engineering     Open Access   (Followers: 26)
International Journal of Air-Conditioning and Refrigeration     Hybrid Journal   (Followers: 12)
International Journal of Architectural Computing     Full-text available via subscription   (Followers: 6)
International Journal of Built Environment and Sustainability     Open Access   (Followers: 3)
International Journal of Concrete Structures and Materials     Open Access   (Followers: 10)
International Journal of Construction Engineering and Management     Open Access   (Followers: 9)
International Journal of Construction Management     Hybrid Journal   (Followers: 4)
International Journal of Disaster Resilience in the Built Environment     Hybrid Journal   (Followers: 5)
International Journal of Housing Markets and Analysis     Hybrid Journal   (Followers: 11)
International Journal of Masonry Research and Innovation     Hybrid Journal  
International Journal of Protective Structures     Hybrid Journal   (Followers: 6)
International Journal of River Basin Management     Hybrid Journal   (Followers: 1)
International Journal of Structural Stability and Dynamics     Hybrid Journal   (Followers: 9)
International Journal of Sustainable Building Technology and Urban Development     Hybrid Journal   (Followers: 14)
International Journal of Sustainable Construction Engineering and Technology     Open Access   (Followers: 8)
International Journal of Sustainable Real Estate and Construction Economics     Hybrid Journal   (Followers: 2)
International Journal of the Built Environment and Asset Management     Hybrid Journal   (Followers: 5)
International Journal of Ventilation     Full-text available via subscription  
Journal for Education in the Built Environment     Open Access   (Followers: 4)
Journal of Aging and Environment     Hybrid Journal   (Followers: 4)
Journal of Architecture, Planning and Construction Management     Open Access   (Followers: 12)
Journal of Asian Architecture and Building Engineering     Open Access  
Journal of Building Construction and Planning Research     Open Access   (Followers: 10)
Journal of Building Engineering     Hybrid Journal   (Followers: 5)
Journal of Building Materials and Structures     Open Access   (Followers: 2)
Journal of Building Pathology and Rehabilitation     Hybrid Journal  
Journal of Building Performance Simulation     Hybrid Journal   (Followers: 6)
Journal of Civil Engineering and Construction Technology     Open Access   (Followers: 14)
Journal of Civil Engineering and Management     Open Access   (Followers: 9)
Journal of Computational Acoustics     Hybrid Journal   (Followers: 5)
Journal of Computing in Civil Engineering     Full-text available via subscription   (Followers: 23)
Journal of Construction Business and Management     Open Access   (Followers: 2)
Journal of Construction Engineering     Open Access   (Followers: 11)
Journal of Construction Engineering, Technology & Management     Full-text available via subscription   (Followers: 8)
Journal of Facilities Management     Hybrid Journal   (Followers: 4)
Journal of Green Building     Full-text available via subscription   (Followers: 10)
Journal of Legal Affairs and Dispute Resolution in Engineering and Construction     Full-text available via subscription   (Followers: 4)
Journal of Property, Planning and Environmental Law     Hybrid Journal   (Followers: 8)
Journal of Structural Fire Engineering     Full-text available via subscription   (Followers: 4)
Journal of Sustainable Cement-Based Materials     Hybrid Journal  
Journal of Sustainable Design and Applied Research in Innovative Engineering of the Built Environment     Open Access   (Followers: 3)
Journal of the South African Institution of Civil Engineering     Open Access   (Followers: 2)
Journal of Transport and Land Use     Open Access   (Followers: 30)
Journal of Urban Technology and Sustainability     Open Access   (Followers: 3)
Landscape History     Hybrid Journal   (Followers: 18)
Materiales de Construcción     Open Access   (Followers: 1)
Mauerwerk     Hybrid Journal  
Modular and Offsite Construction (MOC) Summit Proceedings |     Open Access  
Naval Engineers Journal     Hybrid Journal   (Followers: 1)
Nordic Concrete Research     Open Access  
Open Construction & Building Technology Journal     Open Access  
PARC Pesquisa em Arquitetura e Construção     Open Access  
Proceedings of the Institution of Civil Engineers - Forensic Engineering     Hybrid Journal  
Proceedings of the Institution of Civil Engineers - Urban Design and Planning     Hybrid Journal   (Followers: 11)
Revista ALCONPAT     Open Access  
Revista de la Construcción     Open Access  
Revista de Urbanismo     Open Access   (Followers: 2)
Revista Hábitat Sustenable     Open Access  
Revista Ingenieria de Construcción     Open Access   (Followers: 1)
Revista INVI     Open Access  
RILEM Technical Letters     Open Access  
Room One Thousand     Open Access  
Ruang-Space: Jurnal Lingkungan Binaan (Journal of The Built Environment)     Open Access  
Russian Journal of Construction Science and Technology     Open Access  
Science and Technology for the Built Environment     Hybrid Journal  
Smart and Sustainable Built Environment     Hybrid Journal   (Followers: 9)
Steel Construction - Design and Research     Hybrid Journal   (Followers: 4)
Stroitel’stvo : Nauka i Obrazovanie     Open Access  
Structural Concrete     Hybrid Journal   (Followers: 5)
Structural Mechanics of Engineering Constructions and Buildings     Open Access   (Followers: 3)
Sustainable Buildings     Open Access   (Followers: 3)
Sustainable Cities and Society     Hybrid Journal   (Followers: 23)
Technology|Architecture + Design     Hybrid Journal  
Terrain.org : A Journal of the Built & Natural Environments     Free   (Followers: 3)
The Historic Environment : Policy & Practice     Hybrid Journal   (Followers: 4)
The IES Journal Part A: Civil & Structural Engineering     Hybrid Journal   (Followers: 5)
The Journal of Integrated Security and Safety Science (JISSS)     Open Access   (Followers: 5)
Tidsskrift for boligforskning     Open Access  

           

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JournalTOCs
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Heriot-Watt University
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Email: journaltocs@hw.ac.uk
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