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  Subjects -> ARCHITECTURE (Total: 219 journals)
Showing 1 - 200 of 264 Journals sorted by number of followers
Modernism/modernity     Full-text available via subscription   (Followers: 44)
American Journal of Civil Engineering and Architecture     Open Access   (Followers: 41)
Environment and Planning B : Urban Analytics and City Science     Full-text available via subscription   (Followers: 40)
Architectural Design     Hybrid Journal   (Followers: 33)
Civil Engineering and Architecture     Open Access   (Followers: 32)
European Planning Studies     Hybrid Journal   (Followers: 24)
Architectural Heritage     Hybrid Journal   (Followers: 24)
A+BE : Architecture and the Built Environment     Open Access   (Followers: 24)
Architecture and Culture     Hybrid Journal   (Followers: 22)
Interiors : Design, Architecture and Culture     Hybrid Journal   (Followers: 22)
Sustainable Cities and Society     Hybrid Journal   (Followers: 22)
Journal of Architecture and Urbanism     Open Access   (Followers: 22)
Architecture and Urban Planning     Open Access   (Followers: 21)
Grey Room     Hybrid Journal   (Followers: 20)
Architecture Research     Open Access   (Followers: 20)
Urban Research & Practice     Hybrid Journal   (Followers: 20)
Journal of Landscape Architecture     Hybrid Journal   (Followers: 19)
Landscapes     Hybrid Journal   (Followers: 18)
Cities in the 21st Century     Open Access   (Followers: 18)
Architectural Review     Full-text available via subscription   (Followers: 17)
Journal of Medieval Latin     Full-text available via subscription   (Followers: 16)
Journal of Urban Cultural Studies     Hybrid Journal   (Followers: 16)
City, Territory and Architecture     Open Access   (Followers: 16)
The Journal of Architecture     Hybrid Journal   (Followers: 15)
Environmental Science and Sustainable Development : International Journal Of Environmental Science & Sustainable Development     Open Access   (Followers: 14)
Design Ecologies     Hybrid Journal   (Followers: 13)
International Journal of Islamic Architecture     Hybrid Journal   (Followers: 13)
Buildings & Landscapes: Journal of the Vernacular Architecture Forum     Full-text available via subscription   (Followers: 13)
Engineering, Construction and Architectural Management     Hybrid Journal   (Followers: 13)
Journal of Architecture, Planning and Construction Management     Open Access   (Followers: 12)
URBAN DESIGN International     Hybrid Journal   (Followers: 12)
Journal of Architectural Education     Hybrid Journal   (Followers: 12)
TECHNE - Journal of Technology for Architecture and Environment     Open Access   (Followers: 11)
Architectural Engineering and Design Management     Hybrid Journal   (Followers: 11)
Environnement Urbain / Urban Environment     Open Access   (Followers: 11)
Proceedings of the Institution of Civil Engineers - Urban Design and Planning     Hybrid Journal   (Followers: 11)
Architectural History     Hybrid Journal   (Followers: 10)
Town and Regional Planning     Open Access   (Followers: 10)
OASE Journal for Architecture     Open Access   (Followers: 9)
Places Journal     Open Access   (Followers: 8)
Artifact : Journal of Design Practice     Open Access   (Followers: 8)
Journal of architecture&ENVIRONMENT     Open Access   (Followers: 8)
Vernacular Architecture     Hybrid Journal   (Followers: 8)
Study of Civil Engineering and Architecture     Open Access   (Followers: 8)
Future Cities and Environment     Open Access   (Followers: 7)
arq: Architectural Research Quarterly     Hybrid Journal   (Followers: 7)
Home Cultures     Full-text available via subscription   (Followers: 7)
Housing and Society     Hybrid Journal   (Followers: 6)
Ambiances     Open Access   (Followers: 6)
Architectural Engineering     Open Access   (Followers: 6)
ABE Journal : Architecture Beyond Europe     Open Access   (Followers: 6)
Apuntes : Revista de Estudios sobre Patrimonio Cultural - Journal of Cultural Heritage Studies     Open Access   (Followers: 6)
Journal of Architectural Conservation     Hybrid Journal   (Followers: 6)
Architectural Theory Review     Hybrid Journal   (Followers: 6)
Journal of the Warburg and Courtauld Institutes     Full-text available via subscription   (Followers: 6)
CLARA : Classical Art and Archaeology     Open Access   (Followers: 6)
Enquiry / The ARCC Journal of Architectural Research     Open Access   (Followers: 5)
Frontiers of Architectural Research     Open Access   (Followers: 5)
International Journal of the Built Environment and Asset Management     Hybrid Journal   (Followers: 5)
International Journal of Architectural Computing     Full-text available via subscription   (Followers: 5)
Architectural Science Review     Hybrid Journal   (Followers: 5)
Bulletin of Pridniprovsk State Academy of Civil Engineering and Architecture     Open Access   (Followers: 5)
Journal of Building Performance Simulation     Hybrid Journal   (Followers: 5)
Cities & Health     Hybrid Journal   (Followers: 5)
ARQ     Open Access   (Followers: 5)
Winterthur Portfolio     Full-text available via subscription   (Followers: 5)
DEARQ - Revista de Arquitectura / Journal of Architecture     Open Access   (Followers: 4)
South East European Journal of Architecture and Design     Open Access   (Followers: 4)
Dams and Reservoirs     Hybrid Journal   (Followers: 4)
Australian Journal of Civil Engineering     Hybrid Journal   (Followers: 4)
Architecture, Civil Engineering, Environment     Open Access   (Followers: 4)
Construction Robotics     Hybrid Journal   (Followers: 4)
International Journal of Protective Structures     Hybrid Journal   (Followers: 4)
Journal of Sustainable Architecture and Civil Engineering     Open Access   (Followers: 4)
Academia : Architecture and Construction     Open Access   (Followers: 4)
GRID - Architecture, Planning and Design Journal     Open Access   (Followers: 4)
Footprint : Delft Architecture Theory Journal     Open Access   (Followers: 4)
International Journal of Human Capital in Urban Management     Open Access   (Followers: 4)
Bulletin KNOB     Open Access   (Followers: 3)
Livraisons d’Histoire de l’Architecture     Open Access   (Followers: 3)
ArcHistoR     Open Access   (Followers: 3)
Terrain.org : A Journal of the Built & Natural Environments     Free   (Followers: 3)
BUILT : International Journal of Building, Urban, Interior and Landscape Technology     Open Access   (Followers: 3)
Smart Cities     Open Access   (Followers: 3)
MediaTropes     Open Access   (Followers: 3)
International Journal of Built Environment and Sustainability     Open Access   (Followers: 3)
Architecture and Engineering     Open Access   (Followers: 3)
A&P Continuidad     Open Access   (Followers: 2)
Frontiers in Sustainable Cities     Open Access   (Followers: 2)
Gazi University Journal of Science Part B : Art, Humanities, Design and Planning     Open Access   (Followers: 2)
Arena Journal of Architectural Research     Open Access   (Followers: 2)
Eurasian Journal of Civil Engineering and Architecture     Open Access   (Followers: 2)
International Journal of Landscape Planning and Architecture     Full-text available via subscription   (Followers: 2)
Nature : National Academic Journal of Architecture     Open Access   (Followers: 2)
Technical Report Civil and Architectural Engineering     Open Access   (Followers: 2)
project baikal : Journal of architecture, design and urbanism     Open Access   (Followers: 2)
Palimpsesto     Open Access   (Followers: 2)
FORMakademisk - forskningstidsskrift for design og designdidaktikk     Open Access   (Followers: 2)
Journal of Facade Design and Engineering     Open Access   (Followers: 2)
Charrette     Open Access   (Followers: 2)
Ángulo Recto. Revista de estudios sobre la ciudad como espacio plural     Open Access   (Followers: 2)
Arquitectura y Urbanismo     Open Access   (Followers: 2)
Fabrications: The Journal of the Society of Architectural Historians, Australia and New Zealand     Hybrid Journal   (Followers: 2)
Australian Planner     Hybrid Journal   (Followers: 2)
Arqueología de la Arquitectura     Open Access   (Followers: 2)
Revista de Urbanismo     Open Access   (Followers: 2)
Revista de Arquitectura     Open Access   (Followers: 1)
Estudios del Hábitat     Open Access   (Followers: 1)
Joelho : Journal of Architectural Culture     Open Access   (Followers: 1)
Architectural Research in Finland     Open Access   (Followers: 1)
Japan Architectural Review     Open Access   (Followers: 1)
Revista de Arquitectura e Ingenieria     Open Access   (Followers: 1)
AURUM : Mühendislik Sistemleri ve Mimarlık Dergisi = Aurum Journal of Engineering Systems and Architecture     Open Access   (Followers: 1)
Herança : Revista de História, Património e Cultura     Open Access   (Followers: 1)
In Situ. Revue des patrimoines     Open Access   (Followers: 1)
Boletín Académico. Revista de investigación y arquitectura contemporánea     Open Access   (Followers: 1)
Journal of Architectural / Planning Research and Studies     Open Access   (Followers: 1)
Journal of Architecture, Design and Construction     Open Access   (Followers: 1)
Journal of Environmental Design     Open Access   (Followers: 1)
Dibt Mitteilungen (Formerly-Mitteilungen Deut Inst Fuer Bautechnik)     Hybrid Journal   (Followers: 1)
disP - The Planning Review     Hybrid Journal   (Followers: 1)
étapes: international     Full-text available via subscription   (Followers: 1)
Journal of Architecture, Art & Humanistic Science     Open Access   (Followers: 1)
Épités - Épitészettudomány     Full-text available via subscription   (Followers: 1)
Journal of Persianate Studies     Hybrid Journal   (Followers: 1)
REUDAR : European Journal of Roman Architecture     Open Access   (Followers: 1)
Spool     Open Access   (Followers: 1)
ArDIn. Arte, Diseño e Ingeniería     Open Access   (Followers: 1)
ARQUISUR     Open Access   (Followers: 1)
Space Ontology International Journal     Open Access   (Followers: 1)
Tafter Journal     Open Access   (Followers: 1)
Der Architekt     Full-text available via subscription   (Followers: 1)
Forum Journal     Full-text available via subscription   (Followers: 1)
Thresholds     Hybrid Journal  
Re. Revista de Edificación     Open Access  
Technology|Architecture + Design     Hybrid Journal  
Journal of Asian Architecture and Building Engineering     Open Access  
EN BLANCO : Revista de Arquitectura     Full-text available via subscription  
VITRUVIO : International Journal of Architectural Technology and Sustainability     Open Access  
Porta Aurea     Open Access  
Undagi : Jurnal Ilmiah Arsitektur     Open Access  
International Journal of Architecture and Infrastructure Planning     Full-text available via subscription  
Montreal Architectural Review     Open Access  
Patrimoines du Sud     Open Access  
Vitruvian     Open Access  
Sens public     Open Access  
Journal of the Society for the Study of Architecture in Canada / Le Journal de la Société pour l'étude de l'architecture au Canada     Open Access  
Revista Geometria Gráfica     Open Access  
Construindo     Open Access  
Procesos Urbanos     Open Access  
PARC Pesquisa em Arquitetura e Construção     Open Access  
tecYt     Open Access  
De Res Architettura     Open Access  
Pensum     Open Access  
Revista de Investigación     Open Access  
Polis     Open Access  
Periodica Polytechnica Architecture     Open Access  
Les Cahiers de la recherche architecturale urbaine et paysagère     Open Access  
Elkawnie : Journal of Islamic Science and Technology     Open Access  
Riset Arsitektur     Open Access  
Loggia, Arquitectura & Restauración     Open Access  
Ars Longa : Cuadernos de arte     Open Access  
ZARCH : Journal of Interdisciplinary Studies in Architecture and Urbanism     Open Access  
Limaq     Open Access  
Mokslas – Lietuvos ateitis / Science – Future of Lithuania     Open Access  
Revista de Arquitectura     Open Access  
Ra : Revista de Arquitectura     Full-text available via subscription  
Módulo Arquitectura - CUC     Open Access  
Revista Amazônia Moderna     Open Access  
Continuité     Full-text available via subscription  
Eikonocity. Storia e Iconografia delle Città e dei Siti Europei - History and Iconography of European Cities and Sites     Open Access  
Ri-Vista : Ricerche per la progettazione del paesaggio     Open Access  
Opus Incertum     Open Access  
Firenze Architettura     Open Access  
Jurnal Arsitektur KOMPOSISI     Open Access  
Risco : Revista de Pesquisa em Arquitetura e Urbanismo     Open Access  
Revista Márgenes Espacio Arte y Sociedad     Open Access  
Panambí. Revista de Investigaciones Artísticas     Open Access  
Pós. Revista do Programa de Pós-Graduação em Arquitetura e Urbanismo da FAUUSP     Open Access  
Cuadernos de Proyectos Arquitectónicos     Open Access  
Cuaderno de Notas     Open Access  
Jurnal Teknik Sipil dan Perencanaan     Open Access  
Vivienda y Ciudad     Open Access  
Oculum Ensaios     Open Access  
Paranoá : cadernos de arquitetura e urbanismo     Open Access  
Paisagem e Ambiente     Open Access  
RevistArquis     Open Access  
Revista Arquitecturas del Sur     Open Access  
Room One Thousand     Open Access  
ESTOA Revista de la Facultad de Arquitectura y Urbanismo     Open Access  
VLC arquitectura. Research Journal     Open Access  
Revista AUS     Open Access  
HBRC Journal     Open Access  
Liño     Open Access  
Revista Hábitat Sustenable     Open Access  
EGA Expresión Gráfica Arquitectónica     Open Access  
Informes de la Construcción     Open Access  
Arquiteturarevista     Open Access  
Revista INVI     Open Access  
Bauregelliste A, Bauregelliste B Und Liste C     Hybrid Journal  

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Similar Journals
Journal Cover
Engineering, Construction and Architectural Management
Journal Prestige (SJR): 0.653
Citation Impact (citeScore): 2
Number of Followers: 13  
 
Hybrid Journal Hybrid journal   * Containing 10 Open Access Open Access article(s) in this issue *
ISSN (Print) 0969-9988 - ISSN (Online) 1365-232X
Published by Emerald Homepage  [362 journals]
  • Cost prediction of building projects using the novel hybrid RA-ANN
           model

    • Free pre-print version: Loading...

      Authors: Yali Wang, Jian Zuo, Min Pan, Bocun Tu, Rui-Dong Chang, Shicheng Liu, Feng Xiong, Na Dong
      Abstract: Accurate and timely cost prediction is critical to the success of construction projects which is still facing challenges especially at the early stage. In the context of rapid development of machine learning technology and the massive cost data from historical projects, this paper aims to propose a novel cost prediction model based on historical data with improved performance when only limited information about the new project is available. The proposed approach combines regression analysis (RA) and artificial neural network (ANN) to build a novel hybrid cost prediction model with the former as front-end prediction and the latter as back-end correction. Firstly, the main factors influencing the cost of building projects are identified through literature research and subsequently screened by principal component analysis (PCA). Secondly the optimal RA model is determined through multi-model comparison and used for front-end prediction. Finally, ANN is applied to construct the error correction model. The hybrid RA-ANN model was trained and tested with cost data from 128 completed construction projects in China. The results show that the hybrid cost prediction model has the advantages of both RA and ANN whose prediction accuracy is higher than that of RA and ANN only with the information such as total floor area, height and number of floors. (1) The most critical influencing factors of the buildings’ cost are found out by means of PCA on the historical data. (2) A novel hybrid RA-ANN model is proposed which proved to have the advantages of both RA and ANN with higher accuracy. (3) The comparison among different models has been carried out which is helpful to future model selection.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-24
      DOI: 10.1108/ECAM-07-2022-0666
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Project cost control system and enabling-factors model: PLS-SEM approach
           and importance-performance map analysis

    • Free pre-print version: Loading...

      Authors: An Thi Hoai Le, Monty Sutrisna
      Abstract: This paper reports the developments of a project cost control system (PCCS) for construction projects to (1) measure its current level of cost control maturity, (2) examine the relationships between elements within PCCS processes and (3) identify improvement areas. This study adopts a mixed approach of descriptive analysis and partial least squares structural equation modelling (PLS-SEM) to measure the current maturity level of PCCS and evaluate the relationships between elements within PCSS to identify improvement areas. Further importance-performance matrix analysis (IPMA) of priority constructs was conducted to improve a target construct and identify the most important areas of specific actions at indicator levels. The results of IPMA revealed the contrast that has the greatest importance on the performance of others so that the recommendations can be made accordingly. Data collected in New Zealand were used to develop the research model. This study develops structural and measurement models with the constructs including pre-control, in-control and post-control processes, enablers and their proposed interrelationships. Then, data from survey of 184 experienced project cost control team members reveal that post-control has the lowest maturity or weakest areas in the PCCS. Data analysis facilitated by PLS-SEM confirmed that all the constructs in the structural model have positive and significant relationships with each other and suggested that systematic cost analysis reports, communication, skills and experience, defining roles and responsibilities, and top management's support should be the highest priority for improving the PCCS in a more effective manner. This study presents one of the earliest attempts to develop and test an integrated model that links sub-processes in PCCS and their enablers. Secondly, this research adds to the construction project management literature by empirically verifying the roles of enablers in enhancing maturity level of PCCS.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-23
      DOI: 10.1108/ECAM-07-2022-0619
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • An integrated model for international market and entry mode selections for
           Chinese contractors

    • Free pre-print version: Loading...

      Authors: Liping Li, Chuan Chen, Igor Martek, Guanghua Li
      Abstract: Given their interrelationship, international market selection (IMS) and entry mode selection (EMS) must be considered jointly if an optimal entry strategy is to be realized. However, researchers in the field of international construction have the tendency to consider IMS and EMS independently or sequentially. Therefore, this paper aims to explore a holistic framework that can accommodate IMS and EMS concurrently and test it using empirical data. his study includes theoretical and empirical research. In theoretical part, an integrated decision model of IMS and EMS is proposed adopting literature review and theoretical derivation, then hypotheses are developed for the impact of decision-making factors. In the latter part, the IMS and EMS of 54 Chinese contractors in 67 countries were investigated, empirical data are collected according to hypotheses, an ordinal logistic regression model is established for statistics analysis. Finally, findings are drawn by comparing literature-based hypotheses with data-based analysis results. Results show that empirical data fit theoretical model well. Findings are: IMS and EMS can be integrated into a holistic decision-making framework when be properly sequenced. When IMS and EMS are determined simultaneously, the decision can benefit from a sharing of common information. And the roles of at least 13 common factors are empirically demonstrated in this study. The integrated decision sequence proposed in this study is applicable for a specific market, and cannot compare multiple alternative markets directly. The decision-making factors identified in this paper do not cover the enterprise strategic objectives and some other factors. Empirical data and some theoretical assumptions are based on the international market entry strategy of Chinese contractors. Therefore, the conclusions may not be completely applicable to global contractors though have certain reference value. Based on the idea of holistic decision-making of IMS and EMS, this study proposes an international market entry strategy (IMES) sequence and an explicit model for determinants, then tests them with empirical data. This paper provides a new idea to manage IMS and EMS concurrently, which can improve the efficiency of IMES decision-making and avoid missing optimal alternatives. This study paves the way for a practical model and provides reference for contractors' international market entry strategy.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-20
      DOI: 10.1108/ECAM-12-2021-1090
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Exploring the metro construction accidents and causations for improving
           safety management based on data mining and network theory

    • Free pre-print version: Loading...

      Authors: Yongliang Deng, Zedong Liu, Liangliang Song, Guodong Ni, Na Xu
      Abstract: The purpose of this study is to identify the causative factors of metro construction safety accidents, analyze the correlation between accidents and causative factors and assist in developing safety management strategies for improving safety performance in the context of the Chinese construction industry. To achieve these objectives, 13 types and 48 causations were determined based on 274 construction safety accidents in China. Then, 204 cause-and-effect relationships among accidents and causations were identified based on data mining. Next, network theory was employed to develop and analyze the metro construction accident causation network (MCACN). The topological characteristics of MCACN were obtained, it is both a small-world network and a scale-free network. Controlling critical causative factors can effectively control the occurrence of metro construction accidents. Degree centrality strategy is better than closeness centrality strategy and betweenness centrality strategy. In practice, it is very difficult to quantitatively identify and determine the importance of different accidents and causative factors. The weights of nodes and edges are failed to be assigned when constructing MCACN. This study provides a theoretical basis and feasible management reference for construction enterprises in China to control construction risks and reduce safety accidents. More safety resources should be allocated to control critical risks. It is recommended that safety managers implement degree centrality strategy when making safety-related decisions. This paper establishes the MCACN model based on data mining and network theory, identifies the properties and clarifies the mechanism of metro construction accidents and causations.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-13
      DOI: 10.1108/ECAM-06-2022-0603
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • How cultural intelligence affects expatriate effectiveness in
           international construction projects

    • Free pre-print version: Loading...

      Authors: Yuan Chen, Ziyue Yang, Bingsheng Liu, Dan Wang, Yan Xiao, Anmin Wang
      Abstract: This study aims to investigate the influence mechanism of expatriates' cultural intelligence (CQ) on expatriate effectiveness (task performance and premature return intention), identifying work engagement as a mediator and cultural distance as a boundary condition. Drawing on the conservation of resource theory and the person–environment fit (P–E fit) theory, a moderated mediation model is built. Working with a sample of 303 international construction expatriates collected by snowball sampling, the hypotheses are tested by using the structural equation model analysis. Work engagement partially mediates the relationship between expatriates' CQ and task performance, as well as fully mediates the relationship between expatriates' CQ and premature return intention. Cultural distance moderates the positive relationship between CQ and work engagement, as well as moderates the mediating effects of work engagement. The impacts of potential moderators (e.g. work–family conflict and organizational culture) on the relationship between CQ and expatriate effectiveness have not been considered in this study. This study is useful for international construction firms to optimize the allocation of human resources. This study contributes to the expatriate literature by adding empirical evidence to explain the influence mechanism of expatriates' CQ on expatriate effectiveness.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-12
      DOI: 10.1108/ECAM-03-2022-0247
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • The impact of COVID-19 on construction supply chain management: an
           Australian case study

    • Free pre-print version: Loading...

      Authors: Peter Sutterby, Xiangming Wang, Hong Xian Li, Yingbo Ji
      Abstract: Effective maintenance of construction supply chains is paramount to business continuity during the pandemic. Focusing on a large private Australian construction company, this research aims to investigate to what extent the current pandemic has affected the daily operations of this company. This research touches on the broader effect on the industry, while it narrows the focus on how effective construction supply chain management can minimise a pandemic's negative impact on a company. The critical question will be how private contractors that primarily rely on social infrastructure projects can fortify their supply chains and general operations during the global pandemic. A mixed qualitative and quantitative approach is employed in this research. Based on literature review and question design, data is collected through interviews with various stakeholders. Moreover, operation data is also collected from the case company to support the results and findings. The respondents have generally agreed that the case company has effectively managed its supply chains to this point of the pandemic through the implementation of supply chain monitoring processes and maintaining stable relationships with stakeholders. This is supported by the operation data of the case company. This is timely-conducted research, and it is original research with invaluable operation data. This case study is conducted during a pandemic and provides lessons learned for global supply chain management in the post-pandemic period.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-12
      DOI: 10.1108/ECAM-10-2021-0942
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Leakages in affordable housing delivery: threat to achieving Sustainable
           Development Goal 11

    • Free pre-print version: Loading...

      Authors: Andrew Ebekozien, Clinton Ohis Aigbavboa, Mohamad Shaharudin Samsurijan, Bernard Adjekophori, Angeline Ngozika Chibuike Nwaole
      Abstract: The increasing growth of urbanisation, especially in developing countries, coupled with affordable housing leakages, may thwart achieving Sustainable Development Goal (SDG) 11 (sustainable cities and communities). Studies regarding affordable housing leakages and their aftermath to Goal 11 in one study are scarce in Malaysia. The study investigated Malaysia's low-cost housing (LCH) leakages and their aftermath to Goal 11 and proffered measures to achieving Goal 11 and its targets. The purpose of this paper is to address these issues. The researchers covered four of Malaysia's major cities via a qualitative approach. The study used 40 participants via semi-structured virtual interviews, and saturation was achieved. The study adopted a thematic approach for the collected data and honed them with secondary sources. Findings group Malaysia's LCH leakages into government/agencies/departments in housing, housing developers/building contractors and client/building owners' root causes in Malaysia's context. It shows a threat from Malaysia's LCH leakages to achieving Goal 11 and proffered measures to enhance achieving Goal 11. Achieving Goal 11 will strengthen and improve Malaysia's many SDGs accomplishments because of their link. Apart from proffering measures to mitigate long-standing issues (leakages) in Malaysia's LCH delivery from achieving Goal 11, findings will stipulate the accomplishment of other SDGs related to housing delivery.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-11
      DOI: 10.1108/ECAM-08-2022-0758
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Investigating the mechanism of developers' willingness
           to adopt prefabricated housing using an integrated DEMATEL-SD framework
           

    • Free pre-print version: Loading...

      Authors: Zezhou Wu, Kaijie Yang, Zhangmin Wu, Hong Xue, Shenghan Li, Maxwell Fordjour Antwi-Afari
      Abstract: Prefabricated construction is an innovative technique for decreasing carbon emissions in the construction industry. However, as the investors of housing projects, a majority of developers are unwilling to adopt prefabricated housing in practice. To promote prefabricated housing, this study aims to develop an integrated framework of fuzzy-decision making trial and evaluation laboratory (fuzzy-DEMATEL) and system dynamics (SD) to understand the underlying influencing mechanism of developers' willingness. Through literature review, a total of 17 influencing factors were identified. Then, the interrelationships among the factors were evaluated by 10 experienced professionals, and the impacts given and received by each factor were further analyzed through fuzzy-DEMATEL. Based on the technology acceptance model (TAM), a SD model was developed to explore the influencing mechanism. The major cause factors were identified, including mandatory implementation policies, economic incentive policies, environmental protection policies, component standardization and developers' economic strength. This group of factors was expected to be given priority attention in the case of limited resources. On the other hand, the results indicated that economic incentive policies and mandatory implementation policies could affect the developers' willingness via perceived usefulness, while the others mainly influenced perceived ease of use. Little research has focused on the interrelationships among the influencing factors of developers' willingness to adopt prefabricated housing. This study contributed to understanding the mechanism of developers' willingness from a systematic view and providing the priority of influencing factors. Several strategies were proposed to improve the practical implementation of prefabricated housing development.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-10
      DOI: 10.1108/ECAM-05-2022-0422
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • What influences stakeholders' decision in adopting blockchain-based
           quality tracking systems in prefabricated construction

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      Authors: Sheng Xu, Linfeng Zhou, Patrick X.W. Zou
      Abstract: The quality liability of prefabricated components (PCs) is a major issue among key stakeholders. The blockchain-based quality tracking systems are supposed to support a more transparent and trusting quality control process. However, many factors affect the stakeholders' willingness toward the adoption of such quality tracking systems. The purpose of this research is to investigate the key factors that influence the stakeholders' adoption decisions toward the application of the quality tracking system in PCs and develop coping strategies. An evolutionary game model is established that includes the manufacturer, constructor and developer. Four scenarios of equilibriums and the game's evolutionary stable strategies are analyzed, and the corresponding stability conditions are then obtained. Based on the tripartite game model, two representative projects are used as case studies to simulate how different factors affect the stakeholders' decisions. First, trade-offs between cost and benefits were the most prominent factor in the adoption decision-making. Second, the advancement of technologies would compensate for their immaturity. Third, subsidy and penalty provision of the developer and high-level trust both incentivize the stakeholders to adopt the quality tracking systems. This research investigates the influence of technology, environment and participant related factors on the adoption decisions of the quality tracking system for PCs and discovered that technology maturity and advancement played an essential role. It is expected that the research findings would be of value to policy makers and project management personnel for better quality control of prefabricated construction.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-10
      DOI: 10.1108/ECAM-06-2022-0501
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Challenges of industrial revolution 4.0: quantity surveying students'
           perspectives

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      Authors: Melissa Li Wen Lim, Shi Yee Wong, Chu Sheng Ding
      Abstract: The industrial revolution 4.0 (IR4.0) signifies technological advancements and digitalization. The fragmented and labour-intensive nature of the construction industry inherently possesses difficulties for IR4.0 adoption compared to other industries. This paper aims to investigate the perspectives of quantity surveying students on the challenges of IR4.0 implementation in the construction industry. A questionnaire survey were distributed to a population of 191 quantity surveying students, with 96 valid responses returned. Descriptive statistics and factor analysis were employed to analyse the collected data. Factor analysis revealed eight components as the key challenges for IR4.0 implementation, which revolved around resistance to change, data security issues, etc. The findings could provide a guideline to higher education institutions on certain IR4.0-related areas to be incorporated into the syllabus, in ensuring that the students are equipped with such skills and knowledge, in meeting market demands. The construction stakeholders' could look into the identified challenges for strategizing the organizations in moving towards IR4.0 adoption. To the best of the authors’ knowledge, this is the first study to investigate quantity surveying students' perspectives on the challenges of IR4.0 implementation in the construction industry by employing factor analysis method. The findings contribute to the body of knowledge in relation to the opinions of a younger generation who has more exposure towards technology on the hindrance of IR4.0 adoption.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-10
      DOI: 10.1108/ECAM-07-2022-0636
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Measuring sensitivity to change orders in construction projects using
           eigenvector centrality and radius of gyration

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      Authors: Seyed Ashkan Zarghami
      Abstract: This paper offers a measure of sensitivity to change orders in the later stage of the construction phase to characterize the distribution of project activities around the time when the project is scheduled to finish. This paper employs eigenvector centrality to identify the sensitivity of an activity to change orders based on the sensitivity of its neighboring activities. Next, a distance-based measure, called the radius of gyration, is adopted to describe the distribution of project activities around the time when the project is scheduled to finish. Finally, a sensitivity measure, which quantifies the dispersion of project activities from the project finish date, is developed. Two real-life construction projects are used to measure the sensitivity to late changes. The results conform to the intuition of sensitivity to late changes and confirm that the negative effects of change orders are amplified when project activities are scheduled to start closer to the finish date. This paper adds to the literature on change orders in construction projects by developing the first method for quantifying the sensitivity of projects to the issuance of late changes. The proposed method can provide valuable information to project owners and construction managers as they negotiate the pricing of change orders based on their time of occurrence.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-10
      DOI: 10.1108/ECAM-09-2022-0870
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Towards an integrative analysis of underground environment and human
           health: a survey and field measurement approach

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      Authors: Isabelle Y.S. Chan, Hao Chen
      Abstract: Due to land resource scarcity, sustainable urban development in high-density cities has long been challenging. As such, many cities are formulating plans to “dig deep”, resulting in more citizens working and/or staying underground for longer periods of time. However, owing to the particularities of underground space, the factors involved in the creation of a healthy environment are different from those involved in aboveground developments. This study thus aims to investigate the influences of various underground environment factors on users' health through a holistic approach. To achieve this aim, 12 underground sites and 12 corresponding aboveground sites are selected for a large-scale questionnaire survey, resulting in 651 survey samples. The survey covers post-occupancy evaluation of health (physical and psychosocial), underground environmental quality (visual, thermal, acoustic comfort, indoor air quality and ventilation), space design and greenery. Independent-sample T-test, Pearson correlation, multiple regression modelling and structural equation modelling are used to investigate whether significant differences exist between health of underground and aboveground users, and to develop an underground environment-health model for unveiling the significant associations between underground environment factors and users' health. To cross validate the results, an objective field measurement study is further conducted on six underground sites. The objective measurement results are used to cross validate the survey results. The questionnaire results provide the following evidence: (1) health of underground users is significantly poorer than that of their aboveground counterparts; (2) underground development users' health is significantly affected by space design, greenery and environmental quality in terms of thermal comfort, indoor air quality, ventilation and acoustic comfort but not visual comfort; and (3) amongst the various identified factors, space design has the strongest predicting effects on human health. The field study echoes the survey findings and further unveils the relationships between different environmental factors and human health. The results shed light on the importance of distinguishing between underground developments and aboveground ones in various guidelines and standards, especially those related to space management.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-10
      DOI: 10.1108/ECAM-12-2021-1120
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Developing a weighted synergy network–based model for selecting
           prefabricated construction services

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      Authors: Xiaomin Qi, Qiang Du, Patrick X.W. Zou, Ning Huang
      Abstract: The purpose of this paper is to develop a model considering synergy effect for prefabricated construction service combination selection. This research defines prefabricated construction service as a service-led construction method that meets the specific requirements of clients. Based on network theory, the multi-dimensional collaborative relationships of the prefabricated construction inter-services are formulated. The synergy effect is quantitatively calculated through the linear weighting of the strengths of collaborative relationships. Further, a weighted synergy network (WSN) is developed, from which a service composition selection model considering the synergy effect is established. Then, a genetic algorithm is employed to implement the model. The results showed that (1) when the number of prefabricated construction services is increased, the synergy effect of combination options is enhanced; (2) The finer-grained prefabricated construction services, the stronger the synergy effect of service combination; (3) Clients have heterogeneous preferences for collaborative relationships, and there are differences in the synergy effect of service combination. The contribution of this research includes proposed a method to quantify the synergy effect from the perspective of collaborative relationships, explored the specific procedure for the prefabricated construction service combination selection under the service-led construction, and provided a reference for promoting the development in construction. Besides, the model proposed could be applied to prefabricated construction service composition selection with diverse research boundaries or client preferences by executing the same procedure.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-04
      DOI: 10.1108/ECAM-04-2022-0334
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • An integrated risk assessment method for cross-regional mega construction
           projects

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      Authors: Pengcheng Xiang, Xin Xia, Xianya Pang
      Abstract: The purpose of this paper is to develop a novel integrated risk assessment method from the system perspective to evaluate the risk of the cross-regional mega construction project (CMCP). Furthermore, this paper aims to confirm the core risk source factors and refine the risk management strategies of CMCPs through a case study. Based on the analysis of the risk system of CMCPs, the concept model and risk assessment principles of integrated risk assessment were confirmed. The risk source factors and project objectives of the CMCP were identified from a literature review, export interview and case analysis. According to the vulnerability theory, the integrated risk assessment model was developed by involving vulnerabilities, threats, objectives and interaction of those factors synthetically. Then, ZW high-speed railway from China was analyzed to verify the feasibility and effectiveness of the proposed method. As a result, 12 threat factors and 12 vulnerability factors were identified. Based on the case study, the main external threat comes from T13 (conflicts of interest between local governments) and T23 (harsh natural environment); the most easily exploited internal vulnerabilities were V11 (complexity of technology), V13 (lack of experience in technical application), V21 (inadequate experience) and V23 (lack of interest coordination mechanism). Moreover, the economic objective was most affected. It is essential to develop an interest coordination mechanism for CMCPs. The harsh natural environment is a critical factor, but it also promotes technological innovation and iteration. Public opinions in different regions are critical for CMCPs, and more emphasis should be placed on public opinion surveys of CMCPs. Moreover, diverse and flexible environmental protection strategies should apply in CMCPs. This research has the following three contributions. First, based on vulnerability theory, an integrated risk assessment approach of CMCPs is developed, which enriches the risk measurement method system and provides inspiration for future research on risk in the construction industry. Second, the risk sources of CMCPs are identified from the perspective of vulnerability and threat to provide clear guidance for the risk management of CMCPs. Third, the core risk source factors and management strategies confirmed by the case study will be beneficial for various governments in different regions and project managers to optimize the project management scheme, as they are transferable management experiences.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-03
      DOI: 10.1108/ECAM-06-2022-0534
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • The effect of construction sustainability system interactions on financial
           performance: a sociotechnical perspective

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      Authors: Stuart Orr, Akshay Jadhav
      Abstract: Construction sustainability (CS) is a strategic reaction to the sustainability expectations of the construction industry's external stakeholders. The extant literature has viewed the environmental, social and economic dimensions of CS as having independent effects on financial performance. Due to the influence of common stakeholders, however, interactions in these dimensions will be present in their effect on financial performance. Accordingly, this study identifies the mechanisms of the interactions between the three CS dimensions and how they jointly affect financial performance. Content analysis of GRI reports of 60 large construction organisations, followed by a hierarchical regression analysis was used to identify the interactions between environmental, social and economic CS in their effect on financial performance. Economic CS was found to indirectly, and not directly, affect financial performance, the effect being mediated by both environmental and social CS. Environmental CS was found to have a strong negative effect on financial performance, whilst social CS was found to have a strongly significant positive effect on financial performance. The motivation for engaging in CS is that investment in economic CS will have a positive effect on both environmental and social CS outcomes, which, in turn can have a combined effect on financial performance. This is one of the first studies investigating the effect of interactions between the environmental, social and economic CS dimensions on the financial performance of construction organisations. It is also one of the first studies that applies a sociotechnical framework to this relationship.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-03
      DOI: 10.1108/ECAM-12-2021-1134
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Using principal component analysis to identify latent factors affecting
           cost and time overrun in public construction projects

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      Authors: Simon Wyke, Søren Munch Lindhard, Jesper Kranker Larsen
      Abstract: Cost and time are two of the primary benchmarks in which construction projects are measured. A variety of factors, however, affect cost and time on construction projects, as identified in previous research. This has led to a need for better understanding how factors affecting cost and time overruns on public construction projects can be managed more efficiently. The purpose of this paper is to address these issues. In this study 26 factors affecting cost and time overruns on construction projects were identified, through qualitative interviews with project managers from Danish governmental agencies and through a literature review. Through principal component analyses the 26 factors were subsequently narrowed down to four primary latent factors. The identified four latent factors affecting cost and time overruns on public construction projects were lack of quality management, lack of project pre-planning, lack of user management and lack of project management. Previous research has focussed on increasing knowledge by identifying and ranking factors affecting time and cost performance. This has led to the identification of an overwhelming number of factors to use for managing construction projects. The present research reduced the number of factors by clustering them into key latent factors responsible for most of the deviation in performance, narrowing the scope of construction cost and time management into a few tangible key focus areas. This supports and improves fast decision-making that is necessary in a changeable environment such as construction.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2023-01-02
      DOI: 10.1108/ECAM-02-2022-0189
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Simulating and optimizing precast wall lifting in prefabricated building
           construction

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      Authors: Zhenmin Yuan, Yuan Chang, Yunfeng Chen, Yaowu Wang, Wei Huang, Chen Chen
      Abstract: Precast wall lifting during prefabricated building construction faces multiple non-lean problems, such as inaccurate lifting-time estimation, unreasonable resource allocation and improper process design. This study aims to identify the pathways for improving lifting performance to advance lean construction of prefabricated buildings. This study developed a methodological framework that integrates the discrete event simulation method, the elimination, combination, rearrangement and simplification (ECRS) technique and intelligent optimization tool. Two schemes of precast wall lifting, namely, the enterprise's business as usual (BAU) and enterprise-leading (EL) schemes, were set to benchmark lifting performance. Furthermore, a best-practice (BP) scheme was modeled from the perspective of lifting activity ECRS and resource allocation for performance optimization. A real project was selected to test the effect of the methodological framework. The results showed that compared with the EL scheme, the BP scheme reduced the total lifting time (TLT) by 6.3% and mitigated the TLT uncertainty (the gap between the maximum and minimum time values) by 20.6%. Under the BP scheme, increasing the resource inputs produces an insignificant effect in reducing TLT, i.e. increasing the number of component operators in the caulking subprocess from one to two only shortened the TLT by 3.6%, and no further time reduction was achieved as more component operators were added. To solve non-lean problems associated with prefabricated building construction, this study provides a methodological framework that can separate a typical precast wall lifting process into fine-level activities. Besides, it also identifies the pathways (including the learning effect mitigation, labor and machinery resource adjustment and activities’ improvement) to reducing TLT and its uncertainty.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-29
      DOI: 10.1108/ECAM-07-2022-0641
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Conceptual cost estimation of highway bid items – A systematic
           literature review

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      Authors: Bright Awuku, Eric Asa, Edmund Baffoe-Twum, Adikie Essegbey
      Abstract: Challenges associated with ensuring the accuracy and reliability of cost estimation of highway construction bid items are of significant interest to state highway transportation agencies. Even with the existing research undertaken on the subject, the problem of inaccurate estimation of highway bid items still exists. This paper aims to assess the accuracy of the cost estimation methods employed in the selected studies to provide insights into how well they perform empirically. Additionally, this research seeks to identify, synthesize and assess the impact of the factors affecting highway unit prices because they affect the total cost of highway construction costs. This paper systematically searched, selected and reviewed 105 papers from Scopus, Google Scholar, American Society of Civil Engineers (ASCE), Transportation Research Board (TRB) and Science Direct (SD) on conceptual cost estimation of highway bid items. This study used content and nonparametric statistical analyses to determine research trends, identify, categorize the factors influencing highway unit prices and assess the combined performance of conceptual cost prediction models. Findings from the trend analysis showed that between 1983 and 2019 North America, Asia, Europe and the Middle East contributed the most to improving highway cost estimation research. Aggregating the quantitative results and weighting the findings using each study's sample size revealed that the average error between the actual and the estimated project costs of Monte-Carlo simulation models (5.49%) performed better compared to the Bayesian model (5.95%), support vector machines (6.03%), case-based reasoning (11.69%), artificial neural networks (12.62%) and regression models (13.96%). This paper identified 41 factors and was grouped into three categories, namely: (1) factors relating to project characteristics; (2) organizational factors and (3) estimate factors based on the common classification used in the selected papers. The mean ranking analysis showed that most of the selected papers used project-specific factors more when estimating highway construction bid items than the other factors. This paper contributes to the body of knowledge by analyzing and comparing the performance of highway cost estimation models, identifying and categorizing a comprehensive list of cost drivers to stimulate future studies in improving highway construction cost estimates.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-27
      DOI: 10.1108/ECAM-03-2022-0266
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Developing emotionally competent engineers for the ever-changing built
           environment

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      Authors: John Aliu, Douglas Aghimien, Clinton Aigbavboa, Andrew Ebekozien, Ayodeji Emmanuel Oke, Samuel Adeniyi Adekunle, Opeoluwa Akinradewo, Olushola Akinshipe
      Abstract: As the world experiences a rapid rise in technological advances, the engineering profession will be required to become even more socially responsible and emotionally stable to be able to display higher levels of empathy towards the society they serve. Therefore, the purpose of this study is to evaluate the key emotional competencies (ECs) that engineers need to possess to thrive in the construction industry after graduation. A quantitative research approach was conducted with close-ended questionnaires developed and administered to built environment professionals such as architects, construction managers, construction project managers, engineers and quantity surveyors. The results showed that the ability to display a positive outlook on life, understand one's emotional triggers, ability to display resilience in hard times, control one's emotions and ability to show compassion to others were the highest-ranked ECs. Further analysis revealed four clusters such as self-awareness, empathy, self-regulation and self-motivation. Practical guidance for higher education institutions is offered in terms of revamping and revisiting their engineering education curricula to develop these ECs to produce emotionally sound engineers for the ever-changing world of work. As the world of work becomes increasingly dynamic and diverse, engineers will be required to possess empathy, social skills and high levels of ECs to be able to seamlessly interact with fellow professionals as well as the society they serve.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-27
      DOI: 10.1108/ECAM-08-2022-0806
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Robotics in industrialized construction: an activity-based ranking system
           for assembly manufacturing tasks

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      Authors: Behnam M. Tehrani, Samer BuHamdan, Aladdin Alwisy
      Abstract: Despite the proven evidence of ever-growing productivity gains in the manufacturing industry as a result of years of research and investment in advanced technologies, such as robotics, the adoption of robots in construction is still lagging. The existing literature lacks technical frameworks and guidelines that account for the one-of-a-kind nature of construction projects and the myriad of materials and dimensional components in construction activities. This study seeks to address existing technical uncertainty and productivity issues associated with the application of robotics in the assembly-type manufacturing of industrialized construction. To facilitate the selection of suitable robotic arms for industrialized construction activities, primarily assembly-type manufacturing tasks of offsite production processes, an activity-based ranking system based on axiomatic design principles is proposed. The proposed ranking system utilizes five functional requirements derived from robot characteristics—speed, payload, reach, degrees of freedom and position repeatability—to evaluate robot performance in an industrialized construction task using simulations of a framing station. Based on design parameters obtained from activity-based simulations, seventy six robotic arms suitable for the framing task were scored and ranked. According to the sensitivity analysis of proposed functional requirements, speed is the key functional requirement that has a notable effect on productivity of a framing station and is thus the determinant in robot performance assessment for framing tasks. The proposed ranking system is expected to augment automation in construction and serve as a preliminary guideline to help construction professionals in making informed decisions regarding the adoption of robotic arms.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-27
      DOI: 10.1108/ECAM-02-2022-0143
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Structural equation model (SEM) for evaluating interrelationships among
           risks inherent in Ghanaian public–private partnership (PPP) power
           projects

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      Authors: Augustine Senanu Komla Kukah, De-Graft Owusu-Manu, Edward Badu, Eric Asamoah
      Abstract: The demand for power has surged in recent times and continues to increase yearly. In comparison to developed countries, the power industry’s risks, especially in piblic–private partnership (PPP) projects, are more complex and essential in developing countries. Appreciating the inter relationship among these risk factors is crucial. However, there exist no studies developing quantitative models to explain how various PPP power risk factors influence each other, especially in developing countries like Ghana. This study aims to investigate and model the relationship, the probability of occurrence and severity of impact of PPP power risk factors in Ghana. Data were collected through ranking type questionnaire in a two-round Delphi survey with 48 respondents using purposive and snowball sampling techniques. partial least squares structural equation modelling (PLS-SEM) was used for analysis of data. A model was developed to investigate the influence the risk factors inherent in PPP power projects have on each other. Validity of the model was tested based on the data collected. PLS-SEM results indicated the various relationships and interdependencies the risk factors had on each other considering their probability and severity. Both significant and insignificant levels of relationships were found among the various risk factors. The SEM that was developed to assess the relationships among the risk factors has great value for policy makers in the energy sector, industry practitioners, researchers and industry practitioners. Strategies can be mapped out to mitigate and effectively allocate the risks with the high interdependencies. Regarding the quantitative impact of the interrelationship among risk factors in PPP power projects, the findings of this research are arguably the first to be presented for the construction sector and contribute to knowledge on PPP practice and further has implications toward achieving power sector risk mitigation.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-27
      DOI: 10.1108/ECAM-10-2022-0943
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Job satisfaction in green construction projects: antecedent roles of green
           work climate, pro-environmental construction practice and green human
           capital

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      Authors: Hilary Omatule Onubi, Manuel Carpio, Ahmad Sanusi Hassan
      Abstract: Job satisfaction (JS) of construction workers is important in determining the level of green construction project performance. Despite the importance of construction workers' JS in actualizing green construction projects' objectives, insufficient consideration has been accorded in green construction studies. This study aims to determine the link between green human capital (GHC), pro-environmental construction practice (PCP), green work climate (GWC) and JS. Precisely, the purpose of this study is to investigate the mediating role of GWC on the GHC and PCP relationship while analysing the moderating effect of GWC on the relationship between PCP and JS. This research's data were collected through a survey questionnaire with 272 useable responses obtained. The partial least squares structural equation modelling (PLS-SEM) technique was used in the study's data analysis. The findings of this study indicate that GHC was positively related to PCP; GWC had a significant mediating effect on the GHC–PCP relationship; PCP had a significant positive effect on JS; and GWC had a significant moderating effect on the PCP–JS relationship with high GWC yielding the greater effect. This study gives a clearer picture of how GHC can lead to the adoption of PCP through GWC and translate to JS, thus providing stakeholders with the required information on firm-based initiatives that can promote the needed green behaviour on the construction site. The originality of this study lies in its contribution to both theory and practice as it provides greater insight into PCP alongside its antecedents and outcomes as it relates to the JS of construction project/site managers.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-23
      DOI: 10.1108/ECAM-06-2022-0548
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Multifactor uncertainty analysis of prefabricated building supply chain:
           qualitative comparative analysis

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      Authors: Dan Wang, Jingyi Luo, Yongkun Wang
      Abstract: This paper constructs the uncertainty analysis model of prefabricated building supply chain risk. The model is designed to study the formation path of prefabricated building supply chain risk and is expected to be used by industry stakeholders for supply chain risk management. Based on the uncertainty circle model, construct a configuration analysis framework for supply chain risks in prefabricated buildings. The fuzzy set qualitative comparative analysis (fsQCA) is used to study the configuration influence of five uncertain factors, including environment, plan-control, demand-supply, manufacturing and assembly-transportation, on the risk of the prefabricated building supply chain. There are three paths to promote the high-risk generation of the prefabricated building supply chain: assembly-transportation-oriented, plan-control-oriented and manufacturing-oriented. There is a specific equivalent substitution relationship among the five causal conditions. Under specific conditions, different combinations of conditions have the same effect on promoting supply chain high-risk generation through equivalent substitution. The multiple concurrent causal relationships of risk conditions in the assembly construction supply chain are studied under the grouping perspective, which helps to expand the research perspective of assembly construction supply chain risk and provides theoretical guidance for supply chain risk management of construction enterprises.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-23
      DOI: 10.1108/ECAM-09-2022-0878
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Influencing sub-contracted operatives' attitudes and behaviours towards
           improved health and safety culture in construction

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      Authors: Saheed O. Ajayi, Natasha Lister, Jamiu Adetayo Dauda, Adekunle Oyegoke, Hafiz Alaka
      Abstract: Health and safety is an important issue in workplaces, and despite safety procedures becoming more strict, serious accidents are still happening within the UK construction sector. This demonstrates poor performance in the implementation of safety procedures on construction sites. One of the key challenges is the unwillingness of the site workforce, especially the subcontracted operatives, to adhere to safety provisions on construction sites. As such, this study investigates the strategies for enhancing safe behaviour amongst subcontracted operatives in the UK construction industry. The study used exploratory sequential mixed method research, involving interviews and questionnaires as means of data collection, and thematic analysis, reliability analysis and exploratory factor analysis as methods of data analysis. The study suggests that various carrot and stick measures are expected to be put in place as part of the strategies for enhancing safe behaviour amongst subcontracted operatives. These include adequate enforcement of safety practices by the management, operative engagement and motivation, commendation and rewards, site safety targets, leadership style and motivation. Application of the suggested measures could enhance safety on construction sites, as it provides practical measures and solutions for inculcating safety behaviours amongst the site operatives who are most likely to be the victims of site accidents.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-22
      DOI: 10.1108/ECAM-03-2022-0265
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Examining the slow acceptance of HR analytics in the Indian engineering
           and construction industry: a SEM-ANN-based approach

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      Authors: Meenal Arora, Anshika Prakash, Amit Mittal, Swati Singh
      Abstract: Despite the extensive benefits of human resource (HR) analytics, the intention to adopt such technology is still a matter of concern in the engineering and construction sectors. This study aims to examine the slow adoption of HR analytics among HR professionals in the engineering and construction sector. A cross-sectional online survey including 376 HR executives working in Indian-based engineering and construction firms was conducted. Hierarchal regression, structural equation modeling and artificial neural networks (ANN) were applied to evaluate the relative importance of HR analytics predictors. The results reveal that hedonic motivation (HM), data availability (DA) and performance expectancy (PE) influence the behavioral intention (BI) to use HR analytics, whereas effort expectancy (EE), quantitative self-efficacy (QSE), habit (HA) and social influence (SI) act as barriers to its adoption. Moreover, PE was the most influential predictor of BI. Based on the findings of this study, engineering and construction industry managers can formulate strategies for the implementation and promotion of HR analytics to enhance organizational performance. This study draws attention to evidence-based decision-making, emphasizing barriers to the adoption of HR analytics. This study also emphasizes the concept of DA and QSE to enhance adoption among HR professionals, specifically in the engineering and construction industry.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-22
      DOI: 10.1108/ECAM-09-2021-0795
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Automated 4D BIM development: the resource specification and optimization
           approach

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      Authors: Abdulwahed Fazeli, Saeed Banihashemi, Aso Hajirasouli, Saeed Reza Mohandes
      Abstract: This research aims to develop an automated and optimization algorithms (OAs)-integrated 4D building information modeling (BIM) approach and a prototype and enable construction managers and practitioners to estimate the time of compound elements in building projects using the resource specification technique. A 4D BIM estimation process was first developed by applying the resource specification and geometric information from the BIM model. A suite of OA including particle swarm optimization, ant colony, differential evolution and genetic algorithm were developed and compared in order to facilitate and automate the estimation process. The developed processes and porotypes were linked and integrated. The OA-based automated 4D BIM estimation prototype was developed and validated through a real-life construction project. Different OAs were applied and compared, and the genetic algorithm was found as the best performing one. The prototype was successfully linked with BIM timeliner application. By using this approach, the start and finish dates of all object-based activities are developed, and the project completion time is automatically estimated. Unlike conventional construction estimation methods which need various tools and are error prone and time-consuming, the developed method bypasses the existing time estimation tools and provides the integrated and automated process with BIM and machine learning algorithms. Furthermore, this approach integrates 4D BIM applications into construction design procedures, connected with OA automation.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-20
      DOI: 10.1108/ECAM-07-2022-0665
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Building information modelling adoption for construction waste reduction
           in the construction industry of a developing country

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      Authors: Emmanuel Chidiebere Eze, Douglas Omoregie Aghimien, Clinton Ohis Aigbavboa, Onyinye Sofolahan
      Abstract: This paper aims to present the result of an assessment of the potential effect of building information modelling (BIM) adoption on the reduction of construction waste (CW) from a developing country's perspective. This was done with a view to reducing the waste generated in construction projects particularly at the design and pre-contract stages. The study adopted a post-positivism philosophical approach, which informed the use of a quantitative research design and a questionnaire as instrument for data collection. The data gathered from construction professionals in the Nigeria construction industry were analysed using an array of statistical tools such as frequency, percentage, Kruskal–Wallis H-test, Kendall's coefficient of concordance, chi-square and exploratory factors analysis. The study revealed five major groups of factors causing CW at the design and pre-contract stages that can be avoided or minimised through BIM implementation. These are; (1) errors in design and documentation, (2) specification and quality factors, (3) estimating and site condition factors, (4) planning of work factors and (5) procurement related factors. The findings of the study offer practical insight for industry participants on the need for BIM implementation to reduce CW by identifying the diverse areas responsible for these waste generation. While there has been significant literature on BIM implementation, contributions on the effect of this technology in reducing waste generation particular at the design and pre-contract stages in developing countries has been almost non-existent. This study strives to fill in this gap by showcasing the major waste generating activities that can be avoided through the use of BIM.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-19
      DOI: 10.1108/ECAM-03-2022-0241
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • The influence of the psychological contract on the safety of performance
           of construction workers in China

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      Authors: Hongyang Li, Yanlin Chen, Junwei Zheng, Yuan Fang, Yifan Yang, Martin Skitmore, Rosemarie Rusch, Tingting Jiang
      Abstract: In the absence of previous work, this study investigates how the psychological contract (PC) influences the safety performance of construction workers in China. The literature is first consulted to obtain a set of PC and safety performance measures that fits the specific situation of construction workers, which is then moderated by five construction experts. A questionnaire survey of 206 workers from 4 different construction sites is followed by a descriptive statistical analysis of the nature of the PC and level of the safety performance of the respondents. Finally, a regression analysis is used to ascertain the level of influence of the PS, and an analysis is made of the influence of PC on safety performance. A set of PC and safety performance measures is identified that fits in the construction workers' specific situation. The PC of the respondents is found to be intact and well-performed, and their safety performance is maintained at a high level. Safety performance is highly influenced by the state of the PC, with the three dimensions of safety performance (safety result, safety compliance and safety participation) positively correlated with the three dimensions of the PC (normative, interpersonal and developmental). Suggestions are made to improve safety production management and safety performance by providing adequate material and economic conditions, helping the workers establish good interpersonal relationships and realize their personal values.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-19
      DOI: 10.1108/ECAM-09-2022-0854
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Factors affecting performance of graduate architects in contract
           

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      Authors: Si Yee Tiew
      Abstract: Graduate architect plays an important role in contract implementation management when handling building construction projects. Graduate architects had been authorized to manage the projects in construction industry due to limited architects in the country. The capability of graduate architect when manage project is critical in reducing performance barriers encountered. The aim of this paper is to identify critical factors that affect graduate architect's performance during project implementation. An explorative study was undertaken to provide an insight into actual experiences of graduate architects in contract implementation management. The data were collected through face-to-face semi-structured interviews providing case studies on contract implementation management on housing projects in Malaysia and observation of the actual on-going projects. The five most crucial factors affected graduate architects' performance related to lack of training in project documentation, failed to obtain professional and peer support in quality and assessment, isolate in role during project coordination, lack of education support in design process and unaware of legal aspects which delayed response to contractor. This research focuses only on seven housing projects and semi-structured interviews with twenty graduate architects who in charge of those projects. As such, the resulting factors that affect graduate architect's performance are limited and are constrained only to the construction industry in Malaysia. This research examined the factors affecting graduate architect's performance which is a timely study, as the increasing number of population and developments will provide ample opportunities for them to perform. The outcome of the study is expected to facilitate graduate architects to devise proactive risk mitigation measures to reduce impact of these factors and improve project delivery.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-19
      DOI: 10.1108/ECAM-11-2021-1010
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Impact of supervisor leadership on construction worker safety behavior in
           China: the moderating role of social capital

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      Authors: Xiuyu Wu, Qinzhen Qian, Meng Zhang
      Abstract: Leaders' behavior has a critical impact on workers' safety behavior. However, previous studies have shown contradictive views on the effect of different leadership styles on safety behavior. One reason may be that the effectiveness of leaders' behavior varies according to diverse contexts. This study examines the effect of transformational and transactional leadership (TsL) on the safety behavior of on-site workers under different levels of social capital in construction projects. Safety behavior is divided into three types: safety compliance (SC), organizational-oriented safety participation and individual-oriented safety participation (ISP). Questionnaire survey data were collected from 302 construction workers in the Chinese construction industry. The results indicate that the positive effect of transformational leadership (TfL) of frontline supervisors on the two types of construction workers' safety participation is enhanced when social capital is high, although TfL has no significant effect on SC behavior. In contrast, TsL can promote construction workers' SC behavior and organizational-oriented safety participation and social capital positively moderating these relationships. TsL has no significant effect on ISP, but its interaction with safety behavior is positively related to ISP. This study explains the inconsistent findings of previous research related to the role of leadership in safety behavior by introducing the social capitaltheory and distinguishing safety participation into two typesThis study is confined to one specific country, future research may benefit from investigating whether the conclusions of this study will be different in other nations with diverse cultures. The findings of the study provide frontline supervisors with new insights into improving workers' safety and the efficiency of leadership in safety management. This study explains the inconsistent findings of previous research related to the role of leadership in safety behavior by introducing the social capital theory and distinguishing safety participation into two types.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-16
      DOI: 10.1108/ECAM-02-2022-0180
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Evolutionary game analysis of the intelligent upgrading of smart solar
           photovoltaic projects

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      Authors: Yibo Hu, Jinbo Song, Tingting Zhao
      Abstract: The development of China's solar photovoltaic (PV) industry is in a transition period from pursuing scale and speed to focusing on efficiency and quality. “Smart PV projects” (SPVPs) were proposed by the ministries of the Chinese government in 2018 to encourage intelligent upgrading and to fill the gaps in traditional PV projects. However, only a small number of PV enterprises are in progress, and only a few SPVPs have been built. The intelligence level of China's PV projects needs to be improved. The purpose of this study is to analyze the willingness of the main participants to be involved in the intelligent upgrading of PV projects by establishing an evolutionary game model that includes three parties. A tripartite evolutionary game model is constructed that considers PV enterprises, project owners and the government. The evolutionary stability strategies of each party and the corresponding stable conditions are obtained. The parameters that affect the decision behaviors are also analyzed. The four stages of the intelligent upgrade of PV projects and the effects of the government subsidy strategies are examined. At different stages, adopting different measures to promote cooperation among the three parties involved is necessary. Government subsidies should be provided to PV enterprises during the initial stage and should be biased toward project owners during the intermediate stage. During the peak stage, PV enterprises constantly need to decrease project costs and improve quality and service, thus helping project owners reduce their initial investments and obtain additional gains. The government's reputation drives it to continually adopt incentive strategies. This research focuses on the interactions among the three parties. Based on evolutionary game analysis, several conditions that facilitate the intelligent upgrading of PV projects are illustrated. Implications for different developing stages are proposed from the perspectives of each party for the decision-makers of SPVPs.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-16
      DOI: 10.1108/ECAM-07-2021-0631
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Pre-construction duration of public-private partnership projects: evidence
           from China

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      Authors: Cong Wang, Henry Liu, Michael C.P. Sing, Jin Wu
      Abstract: Pre-construction of a project comprises stages that are pivotal for the procurement performance. It is defined as the duration from the project's initiation to construction. However, Private Public Partnerships (PPPs) have been subjected to a long pre-construction, thereby leading to an inefficient development process. Therefore, the purpose of this paper is to pay attention to the influencing factors elongating the pre-construction duration. Based on data of 5,677 PPP projects between 2009 and 2021 in China, the authors adopt the Accelerated Failure Time (AFT) model in duration analysis to empirically analyze the following underlying dynamics determining the duration of PPP pre-construction stages: (1) policy uncertainty; (2) corruption; and (3) procurement method selection. To observe the influencing paths more specifically, the authors divided the pre-construction duration into the pre-tendering period and tendering period and regressed them separately. The results indicate that the pre-construction duration is significantly prolonged with increased policy uncertainty and corruption degree as well as the use of tendering methods. Meanwhile, the above factors have a greater impact on the pre-tendering period than the tendering period. The contribution of this study is twofold: (1) theoretically, this paper provides new evidence on the impact of PPP policy uncertainty, corruption and procurement method selection on the pre-construction duration. It complements empirical studies on the factors elongating the time efficiency of PPPs projects. (2) In practice, it provides a specific path for the government to improve the time efficiency of PPPs.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-15
      DOI: 10.1108/ECAM-06-2022-0544
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Examining critical project management skills for successful delivery of
           major maintenance projects: insights from the United Kingdom energy sector
           

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      Authors: Bryan Pieterse, Kofi Agyekum, Patrick Manu, Saeed Reza Mohandes, Clara Cheung, Akilu Yunusa-Kaltungo
      Abstract: Major maintenance projects are often regarded as maintenance activities regardless of the projects' complexity and scale. Consequently, very scarce research attention has hitherto been paid to the critical skills required when undertaking these projects. More specifically, the body of relevant knowledge is deprived of a study focusing on maintenance projects within the energy sector. In view of this shortcoming, this research aims to examine the critical project management (PM) skills required to deliver major maintenance projects within the energy sector. Based on a quantitative research strategy, this study addressed the knowledge gap through a cross-sectional survey of professionals involved in the delivery of major maintenance projects in the United Kingdom's (UK) energy sector. Data obtained were analyzed via descriptive (e.g. frequencies, mean and standard deviation [SD]) and inferential statistical analyses (One sample t-test and exploratory factor analysis (EFA)). Out of the 45 PM skills identified in the literature and examined by the respondents, the results obtained from the One sample t-test (based on p (1-tailed) = 0.05) showed that 37 were considered to be at least “important,” accounting for 80.4% of all the skills identified. EFA revealed a clustering of the PM skills items into seven components: “skills related to work scheduling and coordination”; “communication, risk, safety and stakeholder management skills”; “quality assurance skills”; “people management skills”; “skills related to forecasting scope and duration of outage”; “implementation of processes and time management skills” and “technical/engineering skills and experience pertaining to the outage and local site knowledge.” This study has identified and contributed to the limited state-of-the-art skills project managers must possess to manage major maintenance projects in the energy sector successfully. The findings would be useful to organizations within the energy sector in ensuring that the organizations have suitable personnel in place to deliver major maintenance projects on the organizations' assets.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-14
      DOI: 10.1108/ECAM-07-2022-0658
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Moving toward sustainability and circularity in hill road construction: a
           study of barriers, practices and performance

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      Authors: Ram Asra Khural, Shashi, Myriam Ertz, Roberto Cerchione
      Abstract: This study explores the relationships among sustainability implementation barriers (resource, managerial and regulatory barriers), sustainability practices (sustainable construction materials, sustainable construction design, modern construction methods and environmental provisions and reporting) and sustainability performance (environmental, economic and social) in hill road construction (HRC). Primary data were collected from the 313 HRC practitioners with the help of a questionnaire, and research hypotheses were tested employing structural equation modeling. The findings reveal a mixed effect of sustainability implementation barriers. Resource (managerial) barriers are negatively related to all practices except environmental provisions and reporting (sustainable construction materials), while regulatory barriers only negatively impact modern construction methods. On the other hand, all sustainability practices positively impact environmental performance, whereas economic (social) performance is positively influenced by all practices, except environmental provisions and reporting (modern construction methods), and positively affects economic performance. In order to transform HRC toward sustainability, the barriers to sustainability implementation, sustainability practices and performance need to be understood by practitioners; however, the relationships have not previously been empirically assessed in extant literature. Besides, past research appears to be predominantly focused on the environmental aspect, thereby neglecting economic and social aspects. This study is a modest attempt to bridge these research gaps.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-13
      DOI: 10.1108/ECAM-02-2022-0138
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Critical factors influencing the failure of joint ventures in the South
           African construction industry: a confirmatory factor analysis approach

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      Authors: Matthew Osivue Ikuabe, Clinton Ohis Aigbavboa, Wellington Didibhuku Thwala, Donald Chiyangwa, Ayodeji Emmanuel Oke
      Abstract: Joint ventures (JVs) serve as a viable tool in mitigating some of the challenges posed to the effective delivery of construction projects. However, JVs are highly susceptible to failure in most developing countries. Therefore, this study seeks to unravel the critical factors influencing the failure of JVs in the South African construction industry. A quantitative approach was adopted for the study using a well-structured questionnaire as the instrument for data collection. Respondents for the study were built environment professionals in Gauteng province in South Africa. Data elicited from respondents were analyzed using a four-pronged process which included descriptive statistics, one sample t-test, exploratory factor analysis and confirmatory factor analysis. Resulting from the analysis conducted, four critical components emerged as the major factors influencing the failure of JVs in the South African construction industry, which are inefficient financial framework, divergent organizational culture, poor project governance and inadequacies from project stakeholders. The outcome of this study presents a roadmap for stakeholders in the construction industry with the requisite knowledge of the critical factors leading to the failure of JVs, consequently providing a clear path for the successful delivery of JV mandates. Evidence from literature suggests that several studies have been conducted on the various aspects of JVs in the South African construction industry; however, none has focused on the leading factors attributed to the failure of JVs. Also, the findings of this study cultivate a good theoretical platform for future studies on JVs.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-13
      DOI: 10.1108/ECAM-04-2022-0298
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Research on the construction safety risk assessment of prefabricated
           subway stations in China

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      Authors: Zhenhua Luo, Juntao Guo, Jianqiang Han, Yuhong Wang
      Abstract: Prefabricated technology is gradually being applied to the construction of subway stations due to its characteristic of mechanization. However, the prefabricated subway station in China is in the initial stage of development, which is prone to construction safety issues. This study aims to evaluate the construction safety risks of prefabricated subway stations in China and formulate corresponding countermeasures to ensure construction safety. A construction safety risk evaluation index system for the prefabricated subway station was established through literature research and the Delphi method. Furthermore, based on the structure entropy weight method, matter-element theory and evidence theory, a hybrid evaluation model is developed to evaluate the construction safety risks of prefabricated subway stations. The basic probability assignment (BPA) function is obtained using the matter-element theory, the index weight is calculated using the structure entropy weight method to modify the BPA function and the risk evaluation level is determined using the evidence theory. Finally, the reliability and applicability of the evaluation model are verified with a case study of a prefabricated subway station project in China. The results indicate that the level of construction safety risks in the prefabricated subway station project is relatively low. Man risk, machine risk and method risk are the key factors affecting the overall risk of the project. The evaluation results of the first-level indexes are discussed, and targeted countermeasures are proposed. Therefore, management personnel can deeply understand the construction safety risks of prefabricated subway stations. This research fills the research gap in the field of construction safety risk assessment of prefabricated subway stations. The methods for construction safety risk assessment are summarized to establish a reliable hybrid evaluation model, laying the foundation for future research. Moreover, the construction safety risk evaluation index system for prefabricated subway stations is proposed, which can be adopted to guide construction safety management.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-13
      DOI: 10.1108/ECAM-04-2022-0340
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Mental health challenges of manual and trade workers in the construction
           industry: a systematic review of causes, effects and interventions

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      Authors: Jonah Duckworth, Abid Hasan, Imriyas Kamardeen
      Abstract: Data from different countries suggest a higher prevalence of anxiety, depression and suicides among manual and trade workers in the construction industry than in the general population. The present review examines the causes and effects of poor mental health and the effectiveness of interventions to improve manual and trade workers' mental health in the construction industry. It also identifies gaps in research and makes several suggestions for practice and future research. A systematic literature review was conducted to examine and consolidate evidence reported in 54 relevant journal articles published between 2010 and 2021 on the mental health of manual and trade workers. Three major themes emerged in the review of the 54 journal articles: causes of poor mental health, effects of poor mental health and interventions to improve mental health. The leading causes of poor mental health among construction manual and trade workers are poor work-life balance, high job demand, poor cultural norms and mental health stigma, chronic bodily pain, lack of social support, workplace injustice and job insecurity. The prominent effects of poor mental health are suicidality, drug and alcohol addiction, poor workplace safety and poor work performance. Moreover, the study found that some of the strategies recently implemented in the construction industry to improve mental health are deemed ineffective, or their effectiveness remains inconclusive. The review's scope is limited to research on manual and trade workers, and it did not investigate the mental health of construction professionals and construction management students. The review provides valuable insights into the causes and effects of poor mental health among manual and trade workers and the effectiveness of mental health interventions in the construction industry.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-13
      DOI: 10.1108/ECAM-11-2021-1022
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Automatic generative design and optimization of hospital building layouts
           in consideration of public health emergency

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      Authors: Ying Zhou, Yu Wang, Chenshuang Li, Lieyun Ding, Cong Wang
      Abstract: This study aimed to propose a performance-oriented approach of automatically generative design and optimization of hospital building layouts in consideration of public health emergency, which intended to conduct reasonable layout design of hospital building to meet different performance requirements for both high efficiency during normal periods and low risk in the pandemic. The research design follows a sequential mixed methodology. First, key points and parameters of hospital building layout design (HBLD) are analyzed. Then, to meet the requirements of high efficiency and low risk, adjacent preference score and infection risk coefficient are constructed as constraints. On this basis, automatic generative design is conducted to generate building layout schemes. Finally, multi-objective deviation analysis is carried out to obtain the optimal scheme of hospital building layouts. Automatic generative design of building layouts that integrates adjacent preferences and infection risks enables hospitals to achieve rapid transitions between normal (high efficiency) and pandemic (low risk) periods, which can effectively respond to public health emergencies. The proposed approach has been verified in an actual project, which can help systematically explore the solution for better decision-making. The form of building layouts is limited to rectangles, and future work can explore conducting irregular layouts into optimization for the framework of generative design. The contribution of this paper is the developed approach that can quickly and effectively generate more hospital layout alternatives satisfying high operational efficiency and low infection risk by formulating space design rules, which is of great significance in response to public health emergency.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-09
      DOI: 10.1108/ECAM-08-2022-0757
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Critical factors influencing learning from quality failures in the
           construction of grid infrastructure

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      Authors: Qing-Wen Zhang, Pin-Chao Liao, Mingxuan Liang, Albert P.C. Chan
      Abstract: Quality failures in grid infrastructure construction would cause large-scale collapses in power supply and additional expenditures by reworks and repairs. Learning from quality failures (LFQF) extracts experience from previous quality events and converts them into preventive measures to reduce or eliminate future construction quality issues. This study aims to investigate the influence factors of LFQF in the construction of grid infrastructure. The related factors of LFQF, including quality management (QM) practices, quality rectification, and individual learning, were identified by reviewing literature about organizational learning and extracting experience from previous failures. A questionnaire survey was distributed to the grid companies in North, Northeast, Northwest, East, Central, and Southwest China. 381 valid responses collected and analyzed using structural equation modeling (SEM) to test the influence of these factors on LFQF. The SEM results support that QM practices positively affect individual learning and LFQF. Quality rectification indirectly impacts LFQF via individual learning, while the results did not support the direct link between quality rectification and LFQF. The findings strengthen practical insights into extracting experience from poor-quality issues and continuous improvement. The contributory factors of LFQF found in this study benefit the practitioners by taking effective measures to enhance organizational learning capability and improve the long-term construction quality performance in the grid infrastructure industry. Existing research about the application of LFQF still stays at the explorative and conceptual stage. This study investigates the related factors of LFQF, including QM practices, quality rectification, and individual learning, extending the model development of learning from failures (LFF) in construction QM.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-07
      DOI: 10.1108/ECAM-03-2022-0229
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • BIM and real estate valuation: challenges, potentials and lessons for
           future directions

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      Authors: Peyman Jafary, Davood Shojaei, Abbas Rajabifard, Tuan Ngo
      Abstract: Building information modeling (BIM) is a striking development in the architecture, engineering and construction (AEC) industry, which provides in-depth information on different stages of the building lifecycle. Real estate valuation, as a fully interconnected field with the AEC industry, can benefit from 3D technical achievements in BIM technologies. Some studies have attempted to use BIM for real estate valuation procedures. However, there is still a limited understanding of appropriate mechanisms to utilize BIM for valuation purposes and the consequent impact that BIM can have on decreasing the existing uncertainties in the valuation methods. Therefore, the paper aims to analyze the literature on BIM for real estate valuation practices. This paper presents a systematic review to analyze existing utilizations of BIM for real estate valuation practices, discovers the challenges, limitations and gaps of the current applications and presents potential domains for future investigations. Research was conducted on the Web of Science, Scopus and Google Scholar databases to find relevant references that could contribute to the study. A total of 52 publications including journal papers, conference papers and proceedings, book chapters and PhD and master's theses were identified and thoroughly reviewed. There was no limitation on the starting date of research, but the end date was May 2022. Four domains of application have been identified: (1) developing machine learning-based valuation models using the variables that could directly be captured through BIM and industry foundation classes (IFC) data instances of building objects and their attributes; (2) evaluating the capacity of 3D factors extractable from BIM and 3D GIS in increasing the accuracy of existing valuation models; (3) employing BIM for accurate estimation of components of cost approach-based valuation practices; and (4) extraction of useful visual features for real estate valuation from BIM representations instead of 2D images through deep learning and computer vision. This paper contributes to research efforts on utilization of 3D modeling in real estate valuation practices. In this regard, this paper presents a broad overview of the current applications of BIM for valuation procedures and provides potential ways forward for future investigations.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-07
      DOI: 10.1108/ECAM-07-2022-0642
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • The pandemic readiness assessment of building design and engineering
           service-related legislation in Kazakhstan and the EU

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      Authors: Galym Tokazhanov, Serik Tokbolat, Aidana Tleuken, Ferhat Karaca
      Abstract: The current COVID-19 pandemic is influencing our life in every aspect, including working and living environments. Millions of people were forced to isolate themselves in their homes, which has posed significant pressure on buildings and shown us that our dwellings are not designed for such purposes. This is partly due to the fact that homes are designed and built for occasional use rather than isolated and long-term occupation. The legislative system of a country plays an important role in defining and shaping the conditions of people living there. Hence, the aim of the study is to evaluate the readiness of Kazakhstani and the EU construction-related legislation for pandemics. Previously developed pandemic-resilient indicators were used for the evaluation of construction legislation. Both legislative systems were reviewed, and the quality of responses was evaluated by assigning response scores. The results based on response scores indicate that the environmental resource consumption sub-category was better covered by EU legislation. At the same time, the buildings’ health, safety and comfort are better taken into account in Kazakhstani legislation. Seven pandemic-resilient indicators were not responded to by any legislative system indicating a gap between current legislation and requirements for new living conditions. No study has analyzed how COVID-19 can transform construction legislation. The study reveals the limitation of current construction legislation in Kazakhstan (KZ) and the EU, indicating the need for transformation to meet the requirements of the pandemic era.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-07
      DOI: 10.1108/ECAM-07-2022-0661
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Examining the nonlinear relationships of corporate social responsibility,
           innovation and construction firm performance: the moderating role of
           construction firms' competitive position

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      Authors: Xian Zheng, Jiawei Deng, Xiangnan Song, Meng Ye, Lan Luo
      Abstract: Corporate social responsibility (CSR) and innovation are the two main approaches firms utilize to promote sustainable development. However, as yet, scholars have reached no consensus regarding their precise impact on construction firm performance (CFP), hindering efforts to implement effective sustainable development strategies that improve CFP. In view that a simple linear relationship may not be sufficient to capture their precise pattern, this study aims to unveil the nonlinear impact of CSR and innovation on CFP, especially when construction firms take up a distinct competitive position. This study first proposed four hypotheses to establish a new theoretical model by incorporating CSR, innovation, CFP and construction firms' competitive position (CFCP). Then the model was tested by using 292 annual observations collected from 75 construction firms in China. A multiple regression model analysis was carried out to analyze the survey data and validate the hypotheses. The results reveal that both CSR and innovation have a U-shaped impact on the price-to-book ratio of a construction firm, a specific CFP measure. CFCP negatively moderates the U-shaped relationship between CSR and CFP, but positively moderates the U-shaped relationship between innovation and CFP. This study goes beyond a simple linear view, instead of unveiling the nonlinear U-shaped effects of CSR and innovation on CFP that deepen the understanding of their complex relationships in the construction industry and makes construction firms aware that CSR and innovation can only improve performance if they reach a certain level. The moderating role of CFCP provides important implications for construction firms seeking to adopt appropriate competitive strategies related to social responsibility and innovation that both promote CFP and achieve sustainable development.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-12-01
      DOI: 10.1108/ECAM-03-2022-0286
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Barriers to corporate social responsibility performance in construction
           organizations

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      Authors: Minh Van Nguyen
      Abstract: This study aims to identify and prioritize barriers to corporate social responsibility (CSR) in the construction sector. A literature review was first conducted to identify barriers to CSR performance. After that, construction professionals were invited to validate the appropriateness of the obstacles. The discussion allowed the establishment of a list of barriers to CSR performance and their corresponding categories. Data collected from the survey were then analyzed to prioritize the importance of these barriers by the fuzzy DEMATEL-based ANP (DANP) technique. The findings presented 16 barriers to CSR, which were categorized into four clusters. The fuzzy DANP analysis showed that strategic vision is the most crucial cluster, followed by the measurement system, stakeholder perspective and scarce resources. Among the sixteen barriers examined, lack of awareness, knowledge and information of CSR; low priority of CSR; lack of metrics to quantify CSR benefits; lack of guidelines and coherent strategies; and lack of CSR enforcement mechanism are the five most crucial barriers. This study is one of the first that proposes a comprehensive model to prioritize barriers to CSR performance of contractors considering their interrelationships. It provides construction stakeholders with a framework for understanding the linkage between the barriers and CSR framework under the umbrella of stakeholder theory. Thus, the findings might assist construction practitioners and academics in fostering the success of CSR implementation.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-29
      DOI: 10.1108/ECAM-05-2022-0489
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • The demand hierarchy of the government and investors in PPP projects

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      Authors: Jiaqi Liu, Jicai Liu
      Abstract: This paper aims to determine the demand category and level of government and investors in public–private partnership (PPP) projects. It emphasizes the importance of meeting the demands of stakeholders and controlling the unreasonable demands. This study aims to improve the demand management of stakeholders in the PPP project and lay a foundation for the research on behavior based on the motivation theory. This paper opted for a questionnaire survey to collect data based on indicators identified through literature. The participants come from the government and private sector (investors, contractors, operators, etc.) in China PPP Lecture Hall. The reliability, validity and variance analyses are used to test the reliability of data. Factor analysis and entropy method are used to determine demand categories and weights. The government’s 14 demands are divided into four groups: satisfy public activities, self-interest, responsibility and relief financial pressure; 6 investor's demands are divided into development ability and satisfy social activities. The self-interest of government is higher than that of the publicity in PPP projects; investor's social reputation is most important, it is a foundation for obtaining external resources and achieving enterprise development. Because of the chosen research approach, the demand indexes cannot be exhausted. Therefore, researchers are encouraged to enrich relevant contents further. This paper includes implications for a targeted demand control mechanism and for managing the unreasonable demand. This paper comprehensively identifies the demand hierarchy of the government and investors, and provides the theoretical basis for the target management of stakeholders.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-28
      DOI: 10.1108/ECAM-01-2022-0052
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Intelligent construction: unlocking opportunities for the digital
           transformation of China's construction industry

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      Authors: Zhijia You
      Abstract: The existing literature has been mainly focused on local problems but without an overall framework for studying the top-level planning of intelligent construction from a systematic perspective. The purpose of this paper is to fill this gap. This research adopts a deductive research approach. This research proposes a reference architecture and related business scenario framework for intelligent construction based on the existing theory and industrial practice. The main contribution of this research is to provide a useful reference to the Chinese government and industry for formulating digital transformation strategies, as well as suggests meaningful future research directions in the construction industry.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-25
      DOI: 10.1108/ECAM-08-2022-0706
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • The co-movement effect of managers' psychological factors on the BIM
           adoption decision in SMEs: a study based on fsQCA

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      Authors: Rui Li, Zhanwen Niu, Chaochao Liu, Bei Wu
      Abstract: Given the complexity of building information modeling (BIM) adoption decisions in small- and medium-sized enterprises (SMEs) in the Architecture, Engineering and Construction (AEC) industry, understanding BIM adoption decision-making through the net effect of a single factor on BIM adoption decisions alone is limited. Therefore, this paper analyzed the co-movement effect of managers' psychological factors on the BIM adoption decisions from the perspective of managers' perceptions. The purpose is to let managers have a deep understanding of their BIM adoption decisions, and put forward targeted suggestions for the AEC industry to promote the adoption of BIM by SMEs. Data from 192 managers in SMEs collected by the questionnaire were used in a fuzzy set qualitative comparative analysis (fsQCA). Due to the limitations of fsQCA in making the best use of the data used, as a complement to fsQCA, necessary conditions analysis (NCA) was used to analyze the extent to which necessary conditions influenced the outcome. (1) NCA analysis shows that high perceived resource availability (PRA) and high performance expectancy (PE) are necessary conditions for high BIM adoption intention (AI). (2) fsQCA analysis shows that high PE is the single core condition for high AI. fsQCA analysis identifies three configurations of managers' psychological factors, reflecting three types of managers' decision preferences, namely benefit preference, loss aversion and risk avoidance, respectively. Different decision preferences may lead to different BIM adoption strategies, such as full in-house use, partial in-house/outsourcing and full outsourcing of BIM processes. (3) High perceived risk (PR) and low perceived business value of BIM (PBV) are the core conditions for low AI. This paper expands on the application of fsQCA to context of BIM adoption decisions. Based on the results of fsQCA analysis, this paper also establishes the relationship between managers' decision-making psychology and BIM adoption strategy choice and analyzes the impact of different decision biases on BIM adoption strategy choice. It concludes with suggestions for encouraging managers to adopt BIM and for avoiding decision-making bias.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-24
      DOI: 10.1108/ECAM-08-2022-0721
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Analysis of key factors influencing green highway project development
           focusing on network interaction and project success: evidence from China

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      Authors: Ning Huang, Qiang Du, Patrick X.W. Zou, Youdan Huang
      Abstract: This study aims to analyze the interaction and key factors within the network of factors influencing the success of green highway projects. Through literature review and interviews with experienced project managers, this study identified 33 influencing factors from the perspectives of stakeholders and life cycle. The interaction between these influencing factors was determined by surveying different experts, most of whom have participated in green highway projects in China. Then, social network analysis (SNA) was used to explore the impact and control ability of different factors. According to the prioritization of these factors, the results showed that some key factors were identified, especially incremental cost, lack of standards and regulations, development of innovative technologies and materials, public awareness and environmental protection behavior. Finally, some meaningful suggestions were put forward for different influencing factors of green highway projects. While the key influencing factors of the green highway projects have been identified by considering the interrelationships between different factors, the specific influencing paths and levels of different factors are not analyzed, more studies and methods should be conducted on this area in the future. This finding of factors influencing the success of green highway projects which is useful for managers to overcome various obstacles encountered in similar projects. Moreover, considering the interaction among the influencing factors enables managers to make systematic and efficient decisions. Developing green highways have been perceived as a major innovation to help achieve the synergy of environmental protection, economic development and social responsibility. Studying the key factors influencing the success of green highway projects and putting forward targeted suggestions are crucial for promoting the environmental protection transformation of highway construction. Compared with most studies on the identification of key influencing factors of construction projects, this research emphasized the interaction between different factors within the system in the analysis process. The findings could provide useful references to promote the successful implementation of green highway projects.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-24
      DOI: 10.1108/ECAM-09-2021-0809
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Evolution of construction risk management research: historiography and
           keyword co-occurrence analysis

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      Authors: Xianbo Zhao
      Abstract: This study collected the bibliographic data of 2034 journal articles published in 2000–2021 from Web of Science (WoS) core collection database and adopted two bibliometric analysis methods, namely historiography and keyword co-occurrence, to identify the evolution trend of construction risk management (CRM) research topics. CRM has been a key issue in construction management research, producing a big number of publications. This study aims to undertake a review of the global CRM research published from 2000 to 2021 and identify the evolution of the research topics relating to CRM. This study found that risk analysis methods have shifted from simply ranking risks in terms of their relative importance or significance toward examining the interrelationships among risks, and that the objects of CRM research have shifted from generic construction projects toward specified types of construction projects (e.g. small projects, underground construction projects, green buildings and prefabricated projects). In addition, researchers tend to pay more attention to an individual risk category (e.g. political risk, safety risk and social risk) and integrate CRM into cost, time, quality, safety and environment management functions with the increasing adoption of various information and communication technologies. This study focused on the journal articles in English in WoS core collection database only, thus excluding the publications in other languages, not indexed by WoS and conference proceedings. In addition, the historiography focused on the top documents in terms of document strength and thus ignored the role of the documents whose strengths were a little lower than the threshold. This review study is more inclusive than any prior reviews on CRM and overcomes the drawbacks of mere reliance on either bibliometric analysis results or subjective opinions. Revealing the evolution process of the CRM knowledge domain, this study provides an in-depth understanding of the CRM research and benefits industry practitioners and researchers.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-24
      DOI: 10.1108/ECAM-09-2022-0853
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Influence of psychosocial safety climate on construction workers’ intent
           to stay, taking job satisfaction as the intermediary

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      Authors: Linlin Xie, Ziyuan Luo, Bo Xia
      Abstract: From a psychosocial perspective, this study aims to understand the impact of psychosocial safety climate (PSC) on the intent to stay of construction workers and provides practical recommendations for construction enterprises to retain construction workers. This study proposes the conceptual framework explained by the conservation of resources (COR) theory and develops a mediation model of “PSC – job satisfaction – intent to stay” within the framework supported by the stimulus–organism–response (SOR) model. Then, a questionnaire survey of 489 construction workers in Guangzhou was conducted and structural equation modeling (SEM) analysis was performed on the data collected. Results show that PSC has a significant and positive effect on job satisfaction and intent to stay. In addition, job satisfaction partially mediates the effect of PSC on intent to stay. Hence, the theoretical model of “PSC – job satisfaction – intent to stay” has been empirically tested and supported. This study is the first to investigate the effect of PSC on intent to stay and enriches the research on the retention of construction workers. The COR theory explains well the mechanism of PSC influence on intent to stay, thus expanding its application to the construction field. Moreover, this study provides practical recommendations for construction enterprises to retain workers so as to build a stable and productive workforce.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-24
      DOI: 10.1108/ECAM-12-2021-1082
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Incentivisation of digital technology takers in the construction industry

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      Authors: Andrew Ebekozien, Mohamad Shaharudin Samsurijan
      Abstract: Studies showed that digital technology applications in the construction industry are low, especially in many developing nations. Construction incentivisation (CI) is one of the long-standing principles adopted to enhance project performance. There is a paucity of studies concerning CI to improve digital technology applications. Thus, this research investigated the relevance and perceived hindrances that may hinder the implementation of CI from promoting digital technologies and proffer ways to improve digital technology applications in the construction sector. In Nigeria’s context, this research is exploratory. Twenty-four semi-structured virtual interviews were conducted in Lagos and Abuja, Nigeria, with knowledgeable participants that indicated interest and were interviewed. The engaged interviewees were drawn from government agencies, academicians in construction consultancy, Internet and communication technology experts, construction contracting firms and construction consulting firms. The collected data were coded and analysed through a thematic method. Digitalisation of the industry via CI may face some hindrances. The perceived issues that may hinder CI implementation were classified into most severe, severe and fairly severe in Nigeria’s construction industry context. Findings proffer feasible policy solutions that can mitigate these issues and improve digital technology applications in the industry via the CI. This study covered the relevance and perceived issues that may hinder the implementation of the CI to improve digital technology applications in the industry. Also, the study proffers policy solutions to enhance digital technology applications in the industry via the CI concept. Findings from this research will support and offer a valuable understanding of the relevance of the “incentivisation concept” to improve digital technology applications in the Nigerian-built environment. Other developing countries with low applications of digital technology in construction may consider the suggested policy solutions from this research. Also, this study will stir policymakers and construction practitioners to support policies tailored towards improving digital technology applications in construction. This research contributes by exploring the effectiveness of the CI concept and informing construction practitioners and policymakers on how to improve digital technology applications in the Nigerian construction industry.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-23
      DOI: 10.1108/ECAM-02-2022-0101
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • An investigation of how stakeholders influence construction project
           performance: a small and medium sized contractor’s perspective in the
           Jordanian construction industry

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      Authors: Suhair Alkilani, Martin Loosemore
      Abstract: This research uses contingency theory and Venkatraman’s concept of moderating fit to explore how key project stakeholders (clients, consultants and suppliers) influence project performance from the perspective of small and medium contractors in the Jordanian construction industry. An anonymous structured survey was performed comprising 200 key informants including senior project managers, construction managers, engineers and general managers working for small- and medium-sized contractors in the Jordanian construction industry. The Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to analyse the data. The results of this study show that consultant-related factors (quality of documentation produced, ability to communicate and technical competencies) are perceived to have the most significant direct effect on project performance, followed by client-related factors (payment promptness, decision certainty and documentation control) and supplier-related factors (supplier performance, defects control and logistics management). The results contribute new theoretical, empirical and practical insights to existing construction project performance research by highlighting the key performance factors which need to be managed for each stakeholder group to ensure effective project performance from a small- and medium-sized contractor perspective.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-23
      DOI: 10.1108/ECAM-06-2022-0539
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Development and comparative of a new meta-ensemble machine learning
           model in predicting construction labor productivity

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      Authors: Ibrahim Karatas, Abdulkadir Budak
      Abstract: The study is aimed to compare the prediction success of basic machine learning and ensemble machine learning models and accordingly create novel prediction models by combining machine learning models to increase the prediction success in construction labor productivity prediction models. Categorical and numerical data used in prediction models in many studies in the literature for the prediction of construction labor productivity were made ready for analysis by preprocessing. The Python programming language was used to develop machine learning models. As a result of many variation trials, the models were combined and the proposed novel voting and stacking meta-ensemble machine learning models were constituted. Finally, the models were compared to Target and Taylor diagram. Meta-ensemble models have been developed for labor productivity prediction by combining machine learning models. Voting ensemble by combining et, gbm, xgboost, lightgbm, catboost and mlp models and stacking ensemble by combining et, gbm, xgboost, catboost and mlp models were created and finally the Et model as meta-learner was selected. Considering the prediction success, it has been determined that the voting and stacking meta-ensemble algorithms have higher prediction success than other machine learning algorithms. Model evaluation metrics, namely MAE, MSE, RMSE and R2, were selected to measure the prediction success. For the voting meta-ensemble algorithm, the values of the model evaluation metrics MAE, MSE, RMSE and R2 are 0.0499, 0.0045, 0.0671 and 0.7886, respectively. For the stacking meta-ensemble algorithm, the values of the model evaluation metrics MAE, MSE, RMSE and R2 are 0.0469, 0.0043, 0.0658 and 0.7967, respectively. The study shows the comparison between machine learning algorithms and created novel meta-ensemble machine learning algorithms to predict the labor productivity of construction formwork activity. The practitioners and project planners can use this model as reliable and accurate tool for predicting the labor productivity of construction formwork activity prior to construction planning. The study provides insight into the application of ensemble machine learning algorithms in predicting construction labor productivity. Additionally, novel meta-ensemble algorithms have been used and proposed. Therefore, it is hoped that predicting the labor productivity of construction formwork activity with high accuracy will make a great contribution to construction project management.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-23
      DOI: 10.1108/ECAM-08-2021-0692
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Relationship between social support and repatriation intention of
           expatriates in international construction projects

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      Authors: Lili Gao, Xiaowei Luo, Weimin Yang, Na Zhang, Xiaopeng Deng
      Abstract: This paper aims to explore the influence of social support and the repatriation intention of expatriates in international constructions in the postpandemic era of COVID-19. Furthermore, test the mediation effect of team climate and individual resilience in this relationship. A survey of 347 expatriates in international construction projects was conducted. A cross-level chain mediation model was employed to test the moderating effect of social support and repatriation intention. Then, statistical analysis with a bootstrap sample was used to test the mediation effect of the model. The empirical results support that team climate, individual resilience and the chain mediating effect of team climate to individual resilience is significant among the influences of social support on repatriation intention. Social support can enhance the team climate of construction expatriates, promoting their resilience to reduce the repatriation intention further. This study provides guidelines for international construction enterprises and managers to decide when and which expatriates should return home and formulate a series of policies to support expatriates and maintain a good team climate. This study contributes to expatriate management literature by establishing the relationship between social support and repatriation intention. It provides a better understanding of how team-level factors impact individual thought. It takes team climate as one of the protective factors affecting individual psychological resilience. Also it takes social support as the antecedents of team atmosphere in case of emergencies.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-21
      DOI: 10.1108/ECAM-10-2021-0931
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Optimization of service scheduling problem for overlapping tower cranes
           with cooperative coevolutionary genetic algorithm

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      Authors: Jing Yin, Jiahao Li, Ahui Yang, Shunyao Cai
      Abstract: In regarding to operational efficiency and safety improvements, multiple tower crane service scheduling problem is one of the main problems related to tower crane operation but receives limited attention. The current work presents an optimization model for scheduling multiple tower cranes' service with overlapping areas while achieving collision-free between cranes. The cooperative coevolutionary genetic algorithm (CCGA) was proposed to solve this model. Considering the possible types of cross-tasks, through effectively allocating overlapping area tasks to each crane and then prioritizing the assigned tasks for each crane, the makespan of tower cranes was minimized and the crane collision avoidance was achieved by only allowing one crane entering the overlapping area at one time. A case study of the mega project Daxing International Airport has been investigated to evaluate the performance of the proposed algorithm. The computational results showed that the CCGA algorithm outperforms two compared algorithms in terms of the optimal makespan and the CPU time. Also, the convergence of CCGA was discussed and compared, which was better than that of traditional genetic algorithm (TGA) for small-sized set (50 tasks) and was almost the same as TGA for large-sized sets. This paper can provide new perspectives on multiple tower crane service sequencing problem. The proposed model and algorithm can be applied directly to enhance the operational efficiency of tower cranes on construction site.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-18
      DOI: 10.1108/ECAM-08-2022-0767
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Exploring the adoption of technology against delays in construction
           projects

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      Authors: Asli Pelin Gurgun, Kerim Koc, Handan Kunkcu
      Abstract: Completing construction projects within the planned schedule has widely been considered as one of the major project success factors. This study investigates the use of technologies to address delays in construction projects and aims to address three research questions (1) to identify the adopted technologies and proposed solutions in the literature, (2) to explore the reasons why the delays cannot be prevented despite disruptive technologies and (3) to determine the major strategies to prevent delays in construction projects. In total, 208 research articles that used innovative technologies, methods, or tools to avoid delays in construction projects were investigated by conducting a comprehensive literature review. An elaborative content analysis was performed to cover the implemented technologies and their transformation, highlighted research fields in relation to selected technologies, focused delay causes and corresponding delay mitigation strategies and emphasized project types with specific delay causes. According to the analysis results, a typological framework with appropriate technological means was proposed. The findings revealed that several tools such as planning, imaging, geo-spatial data collection, machine learning and optimization have widely been adopted to address specific delay causes. It was also observed that strategies to address various delay causes throughout the life cycle of construction projects have been overlooked in the literature. The findings of the present research underpin the trends and technological advances to address significant delay causes. Despite the technological advancements in the digitalization era of Industry 4.0, many construction projects still suffer from poor schedule performance. However, the reason of this is questionable and has not been investigated thoroughly.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-17
      DOI: 10.1108/ECAM-06-2022-0566
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Investigating the impact of emerging technologies on construction safety
           performance

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      Authors: Esra Dobrucali, Sevilay Demirkesen, Emel Sadikoglu, Chengyi Zhang, Atilla Damci
      Abstract: Construction safety is heavily affected by using new technologies in this growing trend of technology adoption. Especially, safety performance is enhanced through the utilization of some effective technologies such as artificial intelligence, virtual reality, BIM and wearable devices. Therefore, the main purpose of this study is to investigate the influence of emerging technologies on construction safety performance and quantify the relationship between those. The proposed components of emerging technologies are BIM, GIS, VR, RFID, AI, ML, eye tracking and serious games and wearable devices, whereas the dimensions of construction safety performance are safety planning, safety training, safety inspection and monitoring, safety audits and reviews and safety leadership. A structural model was composed consisting of emerging technologies and safety performance indicators. Then, a questionnaire was designed and administered to construction professionals, and data from 167 projects were analyzed using structural equation modeling. The data were analyzed by using software, called SPSS AMOS. The analysis of the structural model proves that there is a positive and significant relationship between emerging technologies and construction safety performance. Moreover, the factor loadings for each factor were found to be high indicating a good representation of the construct by the components developed. Among the technologies, BIM, robotics and automation, AI and wearable devices were detected to be the most significant technologies in terms of impacting safety performance. The study contributes to the body of knowledge in that it develops a conceptual framework consisting of specific technologies in terms of emerging technologies, reveals the impact of such technologies on safety performance and proposes several tools and strategies for enabling effective safety management along the project lifecycle. Industry practitioners may benefit from the framework developed by adopting such technologies to enhance their safety performance on construction projects.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-15
      DOI: 10.1108/ECAM-07-2022-0668
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Towards the adoption of most suitable green walls within sustainable
           buildings using interval type-2 fuzzy best-worst method and TOPSIS
           technique

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      Authors: Sanaz Tabatabaee, Mojtaba Ashour, Haleh Sadeghi, Seyed Amirali Hoseini, Saeed Reza Mohandes, Amir Mahdiyar, Syuhaida Ismail, M. Reza Hosseini
      Abstract: To come up with a prudent decision on the installation of an appropriate green wall (GW) on buildings, this study presents a novel decision-making algorithm. The proposed algorithm considers the importance of barriers hampering GW adoption, as well as their relationships with regard to different types of GWs existing in a contextual setting. The proposed methodological approach is based on the integration of qualitative and quantitative techniques by employing focus group discussion, fuzzy-based best-worst method and fuzzy TOPSIS. Based on the experiences of qualified experts involved in related projects in Hong Kong, the following conclusions are drawn: (1) cost, installation and maintenance-related barriers are perceived to have the highest importance, (2) modular living wall system is the most suitable GW system for the context of Hong Kong and (3) existing barriers are found to have a pivotal role in the ranking of the most suitable GW systems. The findings provide valuable insight not only for policymakers and stakeholders, but also for establishing a methodological approach that can assist decision-makers in identifying the most beneficial GW system rather than the most applicable one. This could have significant implications and introduce potential changes to the common way of practice within the industry and lay the foundation for wider adoption of GW. While previous studies have investigated the sustainability-related issues of GW façade applications, the current body of knowledge is deprived of a comprehensive methodological approach for the selection of the most suitable GW systems.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-08
      DOI: 10.1108/ECAM-06-2022-0551
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Labor resource allocation under extremely short construction period based
           on the inverse optimization method

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      Authors: Junlong Peng, Xiang-Jun Liu
      Abstract: This research is aimed to mainly be applicable to expediting engineering projects, uses the method of inverse optimization and the double-layer nested genetic algorithm combined with nonlinear programming algorithm, study how to schedule the number of labor in each process at the minimum cost to achieve an extremely short construction period goal. The method of inverse optimization is mainly used in this study. In the first phase, establish a positive optimization model, according to the existing labor constraints, aiming at the shortest construction period. In the second phase, under the condition that the expected shortest construction period is known, on the basis of the positive optimization model, the inverse optimization method is used to establish the inverse optimization model aiming at the minimum change of the number of workers, and finally the optimal labor allocation scheme that meets the conditions is obtained. Finally, use algorithm to solve and prove with a case. The case study shows that this method can effectively achieve the extremely short duration goal of the engineering project at the minimum cost, and provide the basis for the decision-making of the engineering project. The contribution of this paper to the existing knowledge is to carry out a preliminary study on the relatively blank field of the current engineering project with a very short construction period, and provide a path for the vast number of engineering projects with strict requirements on the construction period to achieve a very short construction period, and apply the inverse optimization method to the engineering field. Furthermore, a double-nested genetic algorithm and nonlinear programming algorithm are designed. It can effectively solve various optimization problems.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-08
      DOI: 10.1108/ECAM-06-2022-0604
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • BIM in the Malaysian construction industry: a scientometric review and
           case study

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      Authors: Bruno Lot Tanko, Wyom Paul Zakka, Wee Nie Heng
      Abstract: The purpose of this study is to explore existing literature on Building Information Modelling (BIM) in Malaysia and examine the perception of practitioners about the potential of BIM applications in reducing construction waste and enhancing productivity. First, using 244 bibliographic data extracted from the Scopus database, the paper used scientometric analysis and VOSviewer mapping technique to assess the most impactful publication literature on BIM in Malaysia to identify the existing research gaps. Second, using a structured questionnaire, a total of 100 questionnaires were distributed to practising practitioners who incorporate BIM in the delivery of their projects. Descriptive analysis using cross-tabulation in SPSS software, radar chart, relative importance index and Pearson’s correlation were used to analyze the data. The research gaps are in the fields of construction projects, buildings, energy efficiency, lifecycle and housing. The findings of the survey indicate that quantity take-off, clash detection, site utilization planning, digital fabrication as well as 4D stimulation were the main BIM applications used among the practitioners in Johor and Selangor. By assessing the state-of-the-art of BIM and BIM applications in this region, the practical implications of this study provide useful insights to construction stakeholders, funding organizations, policymakers, research institutions, professionals, journal editors, reviewers and researchers to understand the overall trend of BIM in Malaysia and its usage. This paper is the first to use science mapping using scientometrics to reveal the current BIM research in “Malaysia only”. Relying on the identified gaps, the study further examined the usage of BIM applications in Malaysian construction projects.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-03
      DOI: 10.1108/ECAM-04-2021-0324
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Health and safety risk of migrant construction workers–a systematic
           literature review

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      Authors: Zechen Guan, Tak Wing Yiu, Don Amila Sajeevan Samarasinghe, Ravi Reddy
      Abstract: The aim of this paper is to review and analyze the research literature on the health and safety issues of migrant workers in the construction industry from 2000 to 2022. 5 steps method is used to conduct a systematic review to achieve the objectives. After scanning two authoritative search engines “Web of Science” and “Scope”, 60 articles are selected from 225 publications for identification and review. These identified articles are classified by research fields, countries and time span. The review finds that with the increasing influence of migrant construction workers, the number of publications on the health and safety of migrant workers has shown a rapid upward trend. Moreover, language barriers are the most dominant safety risk factors encountered by on-site migrant workers. This systematic literature review also summarizes the definition of migrant workers and solutions to reduce safety risk factors. The research data on the health and safety issues and risk factors of migrant workers in the construction industry is still limited. This literature review summarizes the research trends and contributions of the literature in this field in the past 22 years and provides theoretical support for future research on the safety management of the migration construction field.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-01
      DOI: 10.1108/ECAM-02-2022-0129
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • An integrated method of automated layout design and optimization for
           modular construction

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      Authors: Zihao Zheng, Yuanqi Li, Jaume Torres
      Abstract: This paper aims to propose a generative design method combined with meta-heuristic algorithm for automating and optimizing the floor layout of modular buildings using typical standardized module units, which are the room module, the corridor module and the stair module. The integrated framework involves the generative design method and optimization for modular construction. The generative rules are provided by geometric relationships and functionalities of the module units. An evaluation function of the generated floor plans is also presented by the combination of project cost and cost penalties for the geometric features. The multi-population genetic algorithm (MPGA) method is provided for the optimization of the combination of costs. The proposed MPGA method is demonstrated fast and efficient at discovering the globally optimal solution. The results indicate that when the unit price of modules is high, the transportation distance is long, or the land cost is high, the layout cost, which related to the symmetry, the compactness and the energy is tend to be lower, making the optimal layout economical. This paper presented an integrated framework of generative floor layout and optimization for modular construction by using typical module units. It fulfills the need for automated layout generation with repetitive units and corresponding assessment during the early design stage.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-11-01
      DOI: 10.1108/ECAM-04-2022-0329
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Differential effects of contextual factors on promotive and prohibitive
           voice in construction projects: a multiteam system perspective

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      Authors: Ding Wang, Jianyao Jia, Shan Jiang, Tianyi Liu, Guofeng Ma
      Abstract: Despite the documented benefits of voice behavior for projects, little is known about antecedents of voice behavior in the project context, especially construction projects. Against this background, adopting a multi-team system perspective, this study attempts to investigate antecedents of team voice behavior from a contextual view. This study identifies and examines six factors that influence team voice behavior. Specifically, project urgency, project temporality, and project complexity are identified from the project nature perspective. Satisfaction, trust, and commitment are generated from the relationship quality approach. Then, data from completed construction projects in China was collected to verify the effectiveness of these factors. Besides, the partial least squares structural equation modeling (PLS-SEM) technique was used in this study. All six factors are found to be significant predictors of promotive team voice behavior. For prohibitive team voice behavior, only project complexity and project commitment make significant effects. Further, the differential effects of these factors on two types of voice behavior are revealed. This study contributes to the literature on voice behavior in the project context, especially construction projects consisting of multiple teams. Also, this research enriches our knowledge on antecedents of team voice behavior in construction projects and thus affords practical implications to foster voice behavior.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-28
      DOI: 10.1108/ECAM-03-2022-0264
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • An interactive and collaborative augmented reality environment for civil
           engineering education: steel reinforcement bars teaching as an example

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      Authors: Yi Tan, Wenyu Xu, Keyu Chen, Chunyan Deng, Peng Wang
      Abstract: At present, teaching methods based on 2D drawings are still commonly used for educating students on the location of steel reinforcement bars in concrete. However, traditional teaching methods have limitations as students can find it difficult to understand 2D drawings. This study aims to develop an interactive and collaborative augmented reality environment (ICARE) using augmented reality (AR) technology to improve students' engagement in learning. This study develops an ICARE prototype, which is organized into two stages: (1) The augmented teaching environment comprising of models and interactive components; (2) The AR collaborative application which uses Photon Unity Networking (PUN) plugin and Azure spatial anchors cloud service. The AR-based teaching environment runs with Universal Windows Platform (UWP) to enable development in the HoloLens 2 through Microsoft Visual Studio. An experimental study was conducted, where 60 students were divided into three groups employing Drawings-based, building information modeling (BIM)-based and AR-based methods for teaching. After the test, the three groups of students were requested to complete a questionnaire. According to the analysis of the experimental results, the ICARE can improve students' comprehension, memory of learned materials and their ability to read and understand steel reinforcement drawings improving the quality of teaching, especially interactivity and engagement. As illustrated in the experiments, the developed ICARE has outstanding performance over conventional approaches in civil engineering courses that can improve students' comprehension and memory of knowledge and their ability to read and understand steel bar drawings. This study provides empirical evidence that AR is a promising technology that can be integrated with traditional classroom instruction and can improve students' comprehension and memory of knowledge and their ability to read and understand steel bar drawings.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-25
      DOI: 10.1108/ECAM-06-2022-0557
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Exploring critical success factors for collaborative contracting
           implementation in the Singapore construction industry

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      Authors: Na Zhang, Bon-Gang Hwang, Xiaopeng Deng, Fiona Tay
      Abstract: The Singapore construction sector is promoting performance improvement by implementing collaborative contracting (CC). For CC's successful implementation, there is a need to sieve out the critical success factors (CSFs). Hence, this paper aims to explore factors influencing the adoption of CC and investigate the potential performance improvement by implementing CC. Based on the literature review, 23 CSFs were identified and packaged to a questionnaire to evaluate the CSF's priority as well as CC's potential impact on the project performance. After prior validation, 165 potential respondents were drawn from survey list by using simple random sampling. Finally, 31 valid responses were received. The survey result showed that the top five CSFs are mutual trust, all parties to commit fully, openness between parties, commitment to a win–win attitude and resource availability. The majority of respondents hold that CC implementation would improve overall project performance, decision effectiveness, cost, time, quality and risk performance. Directors, project managers, contractor managers and site engineers have different perceptions of CSFs. Also rather than meeting the same requirements in the implementation of CC, there are differences among projects with different values. This study provides an in-depth understanding of the CSFs for industry practitioners adopting CC and CC's potential impact on project performance. This study is also helpful for authorities to formulate effective policies to push the implementation of CC.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-24
      DOI: 10.1108/ECAM-05-2022-0398
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Determinants of cloud computing deployment in South African construction
           organisations using structural equation modelling and machine learning
           technique

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      Authors: Douglas Aghimien, Clinton Ohis Aigbavboa, Daniel W.M. Chan, Emmanuel Imuetinyan Aghimien
      Abstract: This paper presents the findings from the assessment of the determinants of cloud computing (CC) deployment by construction organisations. Using the technology-organisation-environment (TOE) framework, the study strives to improve construction organisations' project delivery and digital transformation by adopting beneficial technologies like CC. This study adopted a post-positivism philosophical stance using a deductive approach with a questionnaire administered to construction organisations in South Africa. The data gathered were analysed using descriptive and inferential statistics. Also, the fusion of structural equation modelling (SEM) and machine learning (ML) regression models helped to gain a robust understanding of the key determinants of using CC. The study found that the use of CC by construction organisations in South Africa is still slow. SEM indicated that this slow usage is influenced by six technology and environmental factors, namely (1) cost-effectiveness, (2) availability, (3) compatibility, (4) client demand, (5) competitors' pressure and (6) trust in cloud service providers. ML models developed affirmed that these variables have high predictive power. However, sensitivity analysis revealed that the availability of CC and CC's ancillary technologies and the pressure from competitors are the most important predictors of CC usage in construction organisations. The paper offers a theoretical backdrop for future works on CC in construction, particularly in developing countries where such a study has not been explored.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-24
      DOI: 10.1108/ECAM-05-2022-0464
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Drivers of mentoring practices in construction related firms: Nigerian
           quantity surveying firms' perspective

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      Authors: Osamudiamen Kenneth Otasowie, Ayodeji Emmanuel Oke
      Abstract: The paper assessed the required drivers of mentoring practices in construction-related firms: a perspective of the quantity surveying (QS) firms in Nigeria with a view to providing possible drivers for effective mentoring relationships in the respective construction firms. Survey design was used to assess the level of knowledge, mentoring concept adoption and the required drivers of mentoring relationships in construction-related firms. QS firms in Abuja, Nigeria were sampled through the use of semi-structured questionnaires. A total of 149 questionnaires were administered to principal partners, partners, senior quantity surveyors and quantity surveyors in QS firms in Abuja through personal delivery. A total of 142 of them were returned and found suitable for analysis, representing 95.30% effective response rate. Percentage, mean, Kruskal–Wallis and factor analyses were utilized for the analysis of the data. The study revealed an appreciable knowledge of mentoring concept but not so much with the adoption in the respective firms. This connotes that there is a problem with the adoption of mentoring concept in construction-related firms despite knowledge of the concept. Also revealed by the study, are the required drivers of mentoring practices in construction-related firms. The findings show the required drivers of mentoring practices in construction-related firms and the recommendations to further the adoption and implementation of these drivers to ensure mentoring practices thrive in construction-related firms in the country. This paper reveals the required drivers of mentoring practices in Nigerian construction-related firms and provides ways through which the drivers can be implemented in the construction firms.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-18
      DOI: 10.1108/ECAM-09-2020-0679
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Investigating cooperative strategies in low-carbon public–private
           partnership projects through evolutionary game

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      Authors: Jianbo Zhu, Qianqian Shi, Ce Zhang, Jingfeng Yuan, Qiming Li, Xiangyu Wang
      Abstract: Promoting low-carbon in the construction industry is important for achieving the overall low-carbon goals. Public–private partnership is very popular in public infrastructure projects. However, different perceptions of low-carbon and behaviors of public and private sectors can hinder the realization of low-carbon in these projects. In order to analyze the willingness of each stakeholder to cooperate towards low-carbon goals, an evolutionary game model is constructed. An evolutionary game model that considers the opportunistic behavior of the participants is developed. The evolutionary stable strategies (ESSs) under different scenarios are examined, and the factors that influence the willingness to cooperate between the government and private investors are investigated. The results illustrate that a well-designed system of profit distribution and subsidies can enhance collaboration. Excessive subsidies have negative impact on cooperation between the two sides, because these two sides can weaken income distribution and lead to the free-riding behavior of the government. Under the situation of two ESSs, there is also an optimal revenue distribution coefficient that maximizes the probability of cooperation. With the introduction of supervision and punishment mechanism, the opportunistic behavior of private investors is effectively constrained. An evolutionary game model is developed to explore the cooperation between the public sector and the private sector in the field of low-carbon construction. Based on the analysis of the model, this paper summarizes the conditions and strategies that can enable the two sectors to cooperate.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-17
      DOI: 10.1108/ECAM-04-2022-0324
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Pose estimation method for construction machine based on improved
           AlphaPose model

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      Authors: Jiayue Zhao, Yunzhong Cao, Yuanzhi Xiang
      Abstract: The safety management of construction machines is of primary importance. Considering that traditional construction machine safety monitoring and evaluation methods cannot adapt to the complex construction environment, and the monitoring methods based on sensor equipment cost too much. This paper aims to introduce computer vision and deep learning technologies to propose the YOLOv5-FastPose (YFP) model to realize the pose estimation of construction machines by improving the AlphaPose human pose model. This model introduced the object detection module YOLOv5m to improve the recognition accuracy for detecting construction machines. Meanwhile, to better capture the pose characteristics, the FastPose network optimized feature extraction was introduced into the Single-Machine Pose Estimation Module (SMPE) of AlphaPose. This study used Alberta Construction Image Dataset (ACID) and Construction Equipment Poses Dataset (CEPD) to establish the dataset of object detection and pose estimation of construction machines through data augmentation technology and Labelme image annotation software for training and testing the YFP model. The experimental results show that the improved model YFP achieves an average normalization error (NE) of 12.94 × 10–3, an average Percentage of Correct Keypoints (PCK) of 98.48% and an average Area Under the PCK Curve (AUC) of 37.50 × 10–3. Compared with existing methods, this model has higher accuracy in the pose estimation of the construction machine. This study extends and optimizes the human pose estimation model AlphaPose to make it suitable for construction machines, improving the performance of pose estimation for construction machines.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-17
      DOI: 10.1108/ECAM-05-2022-0476
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Water environment treatment PPP projects optimal payment mechanism based
           on multi-stage dynamic programming model

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      Authors: Limin Su, YongChao Cao, Huimin Li, Chengyi Zhang
      Abstract: The optimal payment in the whole operation and maintenance period of water environment treatment PPP projects has become the main approach to realize sustainable development of projects. This study is aimed at constructing an effective payment model for the whole life period of projects to achieve win-win among all stakeholders, so as to provide a theoretical reference and managerial implications for the public sector in the whole operation and maintenance period. In the whole operation and maintenance period of water environment treatment PPP projects, this article investigates how the public sector optimizes the payment in the whole operation and maintenance period of projects. Firstly, the projects' whole operation and maintenance period is divided into several stages according to the performance appraisal period. And then, the multi-stage dynamic programming model is constructed to design the payment construct model for the public sector in each performance appraisal stage. The payment from the public sector is the decision variable, and the deduction from the private sector is a random variable. The optimal payment model showed that the relatively less objective weight of public sector leaded to its relatively more total payment and vice versa. Therefore, the sustainable development of the projects can only be ensured when the objective weights both of them should be balanced. Additionally, the deduction from the performance appraisal of private sector plays an important role in the model construction. The larger deduction the private sector undertakes, the smaller profits private sector has. Since the deduction at each stage is a random variable, the deduction varies with the different probability distributions obeyed by the practical deduction in each stage. The findings from this study have provided theoretical and application references, and some managerial implications are also given. First, the improvement of the pricing system of public sector should be accelerated. Second, the reasonable profit of the private sector must be guaranteed. While pursuing the maximization of social benefits, the public sector should make full use of the price sharing mechanism in the market and supervise the real income situation of the private sector. Third is increasing the public to participate in pricing. Additionally, it is a limitation that the deduction is assumed to conform to a uniform distribution in this study. Other probability distributions on deduction can be essentially further sought, so as to be more line with the actual situation of the projects. The optimal payment in whole operation and maintenance period of the projects has become an important issue, which is a key to project success. This study constructs a multi-stage dynamic programming model to optimize payment in the whole period of projects. Additionally, this study adds its value through deeply developing the new theories of optimal payment to more suitable for the practical problems, so that to optimize the design of payment mechanism. Meanwhile, a valuable reference for public and private sectors is provided to ensure the sustainable development of the projects.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-12
      DOI: 10.1108/ECAM-04-2022-0291
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Interrelationships among enabling factors for BIM adoption in construction
           enterprises

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      Authors: Thi-Thao-Nguyen Nguyen, Sy Tien Do, Viet Thanh Nguyen, Thu Anh Nguyen
      Abstract: This study aims to identify the enabling factors for Building Information Modeling (BIM) adoption in Vietnamese construction enterprises and uncover their interrelationships. This will help stakeholders focus on controlling and allocating resources (time, personnel, and costs) appropriately to adopt BIM and differentiate themselves from fierce competition in the architectural, engineering, construction and operations (AECO) industry. This study first identifies and evaluates 32 enabling factors for applying BIM in the Vietnamese construction industry according to the TOE extended framework. Afterwards, a hybrid questionnaire survey using a convenient sampling method is conducted to capture stakeholders' views. The exploratory factor analysis (EFA) and the partial least squares structural equation modelling (PLS-SEM) technique are then applied to identify the constructs of the enabling factors and their interrelationships. The study extracts six constructs that could have a significant impact on the adoption of BIM in construction enterprises, namely: technical feasibility (TF), human resources and management (HRM), company business vision (CBV), political environment (PE), economic viability (EV), and legal aspects (LA). Based on eleven proposed hypotheses, the analysis results confirm nine hypotheses and show that the HRM, TF, and CBV have the strongest effects on managers in evaluating the factors for BIM. The results of the study fill the gap in knowledge by discovering the interrelationships among the enabling factors for BIM adoption in construction enterprises. The results might support the construction enterprises and their stakeholders in increasing the application of BIM, and digital transformation in construction industry.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-12
      DOI: 10.1108/ECAM-05-2022-0465
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Organizational antecedents and multiple paths of knowledge-sharing
           behavior of construction project members: evidence from Chinese
           construction enterprises

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      Authors: Fan Cheng, Yilin Yin
      Abstract: Lack of knowledge-sharing behavior (KSB) among construction project members hinders propagation of expertise, working methods, and lessons learned within an organization, and deprives the organization of a sustainable competitive edge. The present study investigates the combined effect of organizational antecedents of construction projects on members' KSB and provides a reference for developing management initiatives to motivate KSB. Based on organizational theory and organizational behavior literature, five organizational antecedents associated with KSB from organizational culture and structure were identified. Subsequently, the authors used survey data from 152 organization members in Chinese construction enterprises to conduct the fuzzy-set qualitative comparative analysis (fsQCA) and reveal configurations of organizational antecedents influencing KSB. This study identifies five configuration paths that are sufficient for shaping the KSB of construction project members, integrated into two types of driving modes, namely “trust-driven” and “incentive-driven”. Relevant discussions can guide managers of construction project organizations to position the driving strategies of KSB that match different organizational scenarios or constraints. By analyzing the configuration effects of organizational antecedents on KSB, novel clues are provided for governing the deficiency of KSB among construction project members. This contributes to the literature on knowledge transfer and organizational behavior. The findings provide actionable insights for improving knowledge flow in construction project organizations and designing KSB guidance regimes.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-12
      DOI: 10.1108/ECAM-07-2022-0614
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Identifying tower crane activities with data: the case of the concrete
           pouring

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      Authors: Thomas Danel, Zoubeir Lafhaj, Anand Puppala, Samer BuHamdan, Sophie Lienard, Philippe Richard
      Abstract: The crane plays an essential role in modern construction sites as it supports numerous operations and activities on-site. Additionally, the crane produces a big amount of data that, if analyzed, could significantly affect productivity, progress monitoring and decision-making in construction projects. This paper aims to show the usability of crane data in tracking the progress of activities on-site. This paper presents a pattern-based recognition method to detect concrete pouring activities on any concrete-based construction sites. A case study is presented to assess the methodology with a real-life example. The analysis of the data helped build a theoretical pattern for concrete pouring activities and detect the different phases and progress of these activities. Accordingly, the data become useable to track progress and identify problems in concrete pouring activities. The paper presents an example for construction practitioners and researcher about a practical and easy way to analyze the big data that comes from cranes and how it is used in tracking projects' progress. The current study focuses only on concrete pouring activities; future studies can include other types of activities and can utilize the data with other building methods to improve construction productivity. The proposed approach is supposed to be simultaneously efficient in terms of concrete pouring detection as well as cost-effective. Construction practitioners could track concrete activities using an already-embedded monitoring device. While several studies in the literature targeted the optimization of crane operations and of mitigating hazards through automation and sensing, the opportunity of using cranes as progress trackers is yet to be fully exploited.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-12
      DOI: 10.1108/ECAM-10-2021-0936
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Multiple paths to enhancing the resilience of project-based organizations
           from the perspective of CSR configuration: evidence from the Chinese
           construction industry

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      Authors: Teng Ma, Ya Liu
      Abstract: The role of corporate social responsibility (CSR) fulfillment is critical when building resilience of project-based organizations (PBOs). However, fulfilling CSR to build a highly resilient PBO remains a black box problem. This study explores the different CSR combinations that enhance PBO resilience. This study defines CSR in terms of shareholder, employee, and social CSR, and analyzes corporate characteristics in terms of corporate scale and nature. Data are collected from Hexun.com and the China Stock Market and Accounting Research Database (CSMAR). The qualitative comparative analysis (QCA) method is used to analyze 48 listed construction and engineering companies from China to explore the CSR configurations for PBOs in enhancing organizational resilience. A large firm size is a necessary condition for high organizational resilience. We find six paths to build high and non-high resilience in PBOs, and the driving mechanisms of high and non-high resilience exhibit an asymmetric relationship. This study cracks the black box of CSR fulfillment and PBO resilience. It reveals the CSR configurations that enhance or inhibit the resilience of PBOs. It also provides scientific basis for PBOs in their fulfillment of CSR in response to crises, and the enhancement of organizational resilience. Future research can be expanded to other industries, as the study sample is only limited to civil engineering construction companies. Since this study uses cross-sectional data, time series can be introduced in the future to further explore the relationship between CSR and organizational resilience. This study provides targeted suggestions that can help decision-makers of construction companies to determine how they can fulfill CSR to enhance organizational resilience. At the same time, it can provide intellectual support for PBOs to cope with systemic crises and promote the fulfillment of CSR. In terms of theoretical value, on the one hand, this study verifies the relationship between CSR fulfillment and PBO resilience, revealing its mechanism of action and multiple paths; on the other hand, it provides a new way of thinking for management research methods and enriches the theoretical study of organizational resilience.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-11
      DOI: 10.1108/ECAM-06-2022-0526
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Use of work-space at home under COVID-19 conditions in the UAE

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      Authors: Rund Hiyasat, Marco Sosa, Lina Ahmad
      Abstract: The study assesses user satisfaction of workspaces modified at home in response to the COVID-19 pandemic, thereby analyzing the flexibility of modern homes in the twenty-first century in the United Arab Emirates. Data was collected using a structured online survey from 113 participants about their home office created to accommodate working/studying from home. Analysis of survey revealed the importance of type of residence in affecting satisfaction of functionality and well-being. The collected demographic variables played a crucial role in affecting satisfaction with various elements, from indoor air quality of the working space to the amount of natural light received by the space. Finally, participants who felt the need to add color and change furniture layout, experienced feelings of productivity, commitment and motivation by working from home. The same participants decided to keep the amended changes to their living spaces, even after they return to working from their offices. The study concludes by presenting implications of this experience on future home designs; thereby offering suggestions of authorities, and designers to produce more flexible and resilient houses. A relatively small sample with limited professions was considered. Further research recommendations include increasing the sample size to target more categories of the residents of the UAE. Future research can expand the criteria used to evaluate satisfaction and include noise levels as well as accessibility. The study offers suggestions to authorities and designers to produce more flexible and resilient homes, taking demographics into consideration. Roof gardens, shading devices and privacy needs are crucial elements for the future home. The research provides enough information to inform designers about the future of space interiors, how well they are configured, serviced and how adaptable they are, in order to enhance user satisfaction. Satisfaction was affected by individual differences.Those who changed furniture layout showed least average satisfaction.Females reported higher satisfaction with indoor air quality and lighting than males.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-10
      DOI: 10.1108/ECAM-10-2021-0857
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Untangling the relationship between work pressure and emotions in social
           media: a quantitative empirical study of construction industry

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      Authors: Liping Liao, Zhijiang Wu
      Abstract: The booming social media attracts construction professionals (CPs) to express emotions caused by work pressure (WP) through online behaviors. Previous works focus on the analysis of WP and emotions but do not adequately consider how WP can be reflected through online emotions. Thus, this study aims to attempt to explore the quantitative relationship between online emotional intensity and WP. This study developed a linguistic-sticker (LS) model to quantitatively evaluate the sentiment intensity of posts published on social media. Moreover, the authors designed two econometric models of ordinary least squares regression and negative binomial regression to test the hypothesis. The research found that posts with stronger negative sentiment (or positive sentiment) indicate that CPs face higher (or lower) WP. Besides, there is a negative bias between the sentiment intensity of posts and the comment quantity. The positive correlation between sentiment intensity of posts and WP has been confirmed, which indicates that construction managers should pay more attention to CPs' behavior on social media, and take a more direct way to analyze work-related online behavior (e.g. posting, commenting). The dynamic monitoring of emotion-related posts also provides a direct basis for the management team to learn about CP's pressure status and propose measures to reduce their negative emotions. Furthermore, the emotional posts published by CPs on social media provide a direct basis for team managers to obtain their psychological state. The research contributes to incorporating CPs' emotions into the LS model and to providing information systems artifacts and new findings on the analysis of WP and online emotions.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-07
      DOI: 10.1108/ECAM-01-2022-0062
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Corporate social responsibility performance and its effects on climate for
           innovation and opportunism: evidence from Vietnamese architectural design
           firms

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      Authors: Minh Van Nguyen
      Abstract: The purpose of this research is to expand a better understanding of how corporate social responsibility (CSR) initiatives affect climate for innovation and opportunism within architectural design firms (ADFs). The literature review and discussions with industry practitioners identified an initial list of variables. A questionnaire survey was developed, validated and delivered to employees working in ADFs. 226 valid responses were collected. Then, the structural equation modeling (SEM) method was employed to empirically investigate the relationships between CSR performance, climate for innovation and opportunism in a single integrative model. The results empirically support that CSR performance has a positive effect on climate for innovation and a negative effect on opportunism. In addition, climate for innovation shows a negative effect on opportunism. This research highlights that CSR performance is essential for ADFs to better achieve sustainable development. By doing CSR activities, climate for innovation in ADFs is expected to be improved, and a sense of opportunism is mitigated. The findings of this paper are explicitly delivered in the context of Vietnamese ADFs and could not be straightforwardly generalized or translated to the construction industry or other sectors in different research contexts. The findings show that a climate for innovation is crucial in ADFs. Business managers are encouraged to employ CSR initiatives to foster an innovation climate and reduce a sense of opportunism within ADFs. This study is one of the first attempts to investigate the relationships between CSR performance, climate for innovation, and opportunism within ADFs. While the findings highlight the critical role of CSR performance, the study argues that CSR should be carefully implemented because there are no “one-size-fits-all” CSR strategies for different business contexts.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-07
      DOI: 10.1108/ECAM-06-2022-0579
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Influence of subcontractors' “strategic capabilities” on “power”,
           “dependence” and “collaboration”: an empirical analysis in the
           context of procurement decisions

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      Authors: Shumank Deep, Thayaparan Gajendran, Marcus Jefferies, Venkata Suresh Uggina, Sanjay Patil
      Abstract: Research on strategic procurement was mostly focussed on the clients' and main contractors' perspectives, while limited work had been done from a subcontractor's perspective. The paper hypothesises that “strategic capability” influences the latent constructs of power, dependence and collaboration in the main contractor–subcontractor relationship. Therefore, the purpose of this study is to investigate the influence of a subcontractor's strategic capabilities on power, dependence and collaboration. A survey questionnaire was developed and distributed amongst the subcontractors in Australia, and 212 complete responses were received. Then second order confirmatory factor analysis and partial least square structure equation modelling (PLS-SEM) analysis were performed to test the hypothesised relationships. The findings support “strategic capabilities” as a construct expressive of a subcontractor's unique market position and good business reputation. The findings also suggest that strategically capable subcontractors enhance their potential for forming partnerships with main contractors through dependence (StratC. → Dep., β = 0.84; Effect Size (ES) = 0.713; p 
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-04
      DOI: 10.1108/ECAM-04-2022-0346
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Modeling for external stakeholder risk assessment of project
           portfolios

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      Authors: Libiao Bai, Shuyun Kang, Kaimin Zhang, Bingbing Zhang, Tong Pan
      Abstract: External stakeholder risks (ESRs) caused by unfavorable behaviors hinder the success of project portfolios (PPs). However, due to complex project dependency and numerous risk causality in PPs, assessing ESRs is difficult. This research aims to solve this problem by developing an ESR-PP two-layer fuzzy Bayesian network (FBN) model. A two-layer FBN model for evaluating ESRs with risk causality and project dependency is proposed. The directed acyclic graph (DAG) of an ESR-PP network is first constructed, and the conditional probability tables (CPTs) of the two-layer network are further presented. Next, based on the fuzzy Bayesian network, key variables and the impact of ESRs are assessed and analyzed by using GeNIe2.3. Finally, a numerical example is used to demonstrate and verify the application of the proposed model. The proposed model is a useable and effective approach for ESR assessment while considering risk causality and project dependency in PPs. The impact of ESRs on PP can be calculated to determine whether to control risk, and the most critical and heavily contributing risks and project(s) in the developed model are identified based on this. This study extends prior research on PP risk in terms of stakeholders. ESRs that have received limited attention in the past are explored from an interaction perspective in the PP domain. A new two-layer FBN model considering risk causality and project dependency is proposed, which can synthesize different dependencies between projects.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-03
      DOI: 10.1108/ECAM-01-2022-0010
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Effects of commitment-based governance on the relationship between formal
           control and PPP projects performance: mediating and moderating

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      Authors: Chunhao Li, Yuping Zhao, Wei Feng Chen
      Abstract: This study aims to investigate the dual effects of commitment-based governance on the relationship between formal control and public–private partnership (PPP) project performance. Formal control and relationship governance are two primary forms of inter-organizational governance that affect project performance. However, little is known about the interplay between formal control and commitment and its effect on PPP projects. More specifically, previous studies have failed to distinguish the function routes of relationship governance resulting from different types of formal control (process and outcome control). This study adopts a questionnaire survey to empirically investigate the mechanism that commitment-based governance influences the relationship between formal control and PPP performance. After collecting data from public and private sector professionals involved in 101 Chinese PPP projects, the theoretical framework proposed in this paper is verified by the empirical results of the hierarchical multiple regression analysis. The results show that process control has an inverted U-shaped effect and outcome control has a significant positive influence on PPP project performance. Furthermore, commitment moderates the effect of formal control on PPP project performance by increasing the relevance of outcome control and mediates the inverted U-shaped relationship between process control and PPP project performance. Managers should recognize that process control is a double-edged sword and prevent the overuse of process control. Managers should direct their attention toward efforts to improve the commitment, which allows for the effectiveness of outcome control strategies. Additionally, this study new measurement method for relationship governance suggests that managers should be aware of the difference in parties' perceptions of the relationship. This study allows for a comprehensive understanding of the relationship governance-control nexus from a commitment perspective. The authors bring into light the dual role of commitment-based governance in the relationship between the two types of formal control and PPP project performance. Moreover, the new approach to measure relationship governance offers valuable insight into the measurement of variables about individual's perception.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-10-03
      DOI: 10.1108/ECAM-06-2021-0499
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • The impact of the institutional environment of the host country on the
           perception of compliance risk of the international engineering contractor:
           the moderating effect of absorptive capacity

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      Authors: Junying Liu, Zhixiu Wang, Jiansheng Tang, Jingcong Song
      Abstract: While there is a general belief that a defective institutional environment will lead to higher compliance risk, the current state of knowledge about how the institutional environment affects enterprises' compliance is equivocal. This study aims to explore how does the host country's institutional environment affect the compliance risk perception of international engineering contractors and how to mitigate this impact. This study empirically tests the impact of the institutional environment from the two dimensions of the institutional environment: legal completeness reflects whether the formal regulations are clear, detailed and comprehensive and legal effectiveness reflects whether rules and policies can be implemented effectively when the proper legal codes are provided. Based on 213 questionnaire data, this study uses partial least squares structural equation model (PLS-SEM) and Smart PLS software to test the hypothesis. This study finds a negative relationship between the host country's legal completeness (LC) or legal effectiveness (LE) and a contractor's compliance risk perception. Further, the results show potential absorptive capacity (PAC) and realized absorptive capacity (RAC) of a contractor are critical for mitigating the impact of low LC in the host country, but not when LE is low. The findings will be useful for international engineering contractors to respond to the compliance risk of the host country, both in choices of overseas investment locations and compliance capacity building. This study reveals the impact of the host country's institutional environment on the compliance risk perception of international contractors, and provides theoretical guidance for how to alleviate the compliance barriers brought by the host country's institutional environment to international engineering contractors.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-29
      DOI: 10.1108/ECAM-03-2022-0279
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • An AMOS-SEM approach to evaluating stakeholders' influence on
           construction project delivery performance

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      Authors: Najib AL-Fadhali
      Abstract: Construction project stakeholders can have a major effect on delivering projects on time. However, little attempt has been made to address the influence of internal stakeholders on delaying project delivery. This research aims to propose the internal stakeholders' influence as a solution to improving project delivery performance (PDP) in order to boost the value of investment in the construction industry's projects. In Yemen, a structured questionnaire was distributed to owners, consultants and contractors, 283 of which were found usable after the data screening. A purposeful sampling technique was used and structural equation modelling (SEM) was adopted for analysis. The structural model was drawn up, based on seven categories of influencing factors: labour, supplier, designer, contractor, consultant, sub-contractor and owner. The results of the structural model suggest that of these seven categories, designers, owners, suppliers and subcontractors have a significant p-value and impact on PDP, while the labour and consultant's impact was not substantiated. The findings support the proposal that internal stakeholders' influence contributes directly to construction PDP. The influence of stakeholders on PDP is important. Nonetheless, few studies have focussed on their effectiveness, especially in developing countries. This paper's contribution is evaluating the cause–effect relationship between stakeholders' influence and construction PDP through analysis of moment structures (AMOS) analysis. The policy implications of the research are to encourage governments in general and construction companies in particular to take responsibility for improving PDP, as slow execution of construction projects leads to increased costs, failure and abandoning projects.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-29
      DOI: 10.1108/ECAM-09-2021-0780
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Impact of mindfulness-based stress reduction intervention on the
           performance of construction professionals

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      Authors: Mei-Yung Leung, Khursheed Ahmed, Ibukun Oluwadara Famakin
      Abstract: Construction professionals (CPs) are often exposed to various challenges and pressures at work including urgent deadlines, high demands, uncertainty in tasks, and complex problems, which may induce stress and affect performance directly. Mindfulness-based stress reduction (MBSR) training has been used for several years to reduce stress among various types of people, such as nurses, teachers, and family caregivers, but its application to CPs with highly dynamic environment remains uncertain. This study aimed to investigate the impact of MBSR training on the performance of CPs via an intervention study involving two groups (MBSR and control). Participants in both groups were assessed using a questionnaire survey and a semi-structured interview at the pre- and post-intervention stage. Multiple research methods were used to derive quantitative and qualitative analyses, including factor analysis, independent t-test, Pearson correlation, and contextual analysis. The findings overall confirm that MBSR has a direct effect on CPs, improving their mindfulness characteristics and enhancing performance by reducing their stress. A number of practical recommendations are made such as (1) arranging standard eight-week MBSR training for CPs; (2) giving special leave for attending the full mindfulness training; (3) establishing a suitable environment in the office for meditation;(4) allowing CPs an opportunity to pause at difficult moments to create space to respond instead of simply reacting; and (5) expressing love and kindness through gratitude, recognition, and regular feedback. This research can be considered as valid evidence to convince construction organizations conducting MBSR to the CPs, which is indeed not too remote to enhance their performance as well as the holistic construction performance.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-27
      DOI: 10.1108/ECAM-01-2022-0005
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Aiming for bullseye: a novel gameplan for circular economy in the
           construction industry

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      Authors: Diane Zandee, Ambika Zutshi, Andrew Creed, André Nijhof
      Abstract: The paper aims to provide managerial recommendations for implementing circular economy (CE) principles in both organizational and interorganizational contexts, including when using digital tools, such as building information modeling (BIM) and blockchain. Drawn from the construction sector in the Netherlands, the findings can be generalized to similar sectors where a company may receive multiple inputs as part of its supply chain augmented by digital technologies. Design addresses the research question: what are the strategic and tactical approaches of organizations on the CE pathway' Sub-questions target initiatives pursued by participants, and look toward information, roles and functions for supporting the CE process. Applying a multiple-case study approach (21 semi-structured interviews with 29 participants) the paper explores strategic initiatives of construction companies implementing CE pathways. The strength of the research design comes from facilitation of rich and deep qualitative insights from Netherlands-based managers embedded within global supply chains contributing to conceptual mapping. A limitation is data from one country (though representing both national and multinational companies). Interviewed managers share guidance for production-related construction companies anchored in materials and product design. Recommendations include to (1) develop both internally and externally the awareness of CE amongst leaders, (2) communicate with internal and external stakeholders for shared vision across the supply chain, (3) start with pilot projects, and (4) ensure product data-integration for CE business models through computer modeling and blockchain for decision-making processes, choices of materials, business model coordination and product (re)design. Continuous learning about CE roles and responsibilities amidst organizational process restructuring is required throughout linear to CE transitions. Extending the time for the CE principles evaluation process would allow for reconsideration of decisions made for CE implemented projects. A novel CE gameplan with a hurdles and recommendations checklist provides an operational interface with decision making points between internal factors for the host organization and external supply chain partners.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-27
      DOI: 10.1108/ECAM-03-2022-0288
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Diagnosing and quantifying post-COVID-19 fluctuations in
           the architecture billings indices

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      Authors: Sooin Kim, Atefe Makhmalbaf, Mohsen Shahandashti
      Abstract: The purpose of this paper is to understand the post-COVID-19 fluctuations in the building construction demand from various angles at the national, regional, and sectoral levels. Despite the significant impact of COVID-19 on the building construction industry, a detailed quantitative analysis of the COVID-19 impact on the building construction demand is still lacking. The current study aims to (1) establish a statistical approach to quantify the COVID-19 impact on the building construction demand; (2) investigate the post-COVID-19 fluctuations in the construction demand of different building services, regional markets, and building sectors using the historical time series of the architecture billings index (ABI); and (3) identify vulnerable market and sector and discuss the post-COVID-19 recovery strategies. The research methodology follows four steps: (1) collecting national, regional, and sectoral ABIs; (2) creating seasonal autoregressive integrated moving average models; (3) illustrating cumulative sum control charts to identify significant ABI deviations; and (4) quantifying the post-COVID-19 ABI fluctuations. The results show that all the ABIs experienced a statistically significant decrease after COVID-19. The project inquiries index reduced more but recovered faster than billings and design contracts indices. The midwest billings index decreased the most among the regional ABIs and the commercial/industrial billing index dropped the most among the sectoral ABIs. This study is unique in the way that it utilized the ABI data and the approach using SARIMA models and CUSUM control charts to assess the post-COVID-19 building construction demand represented by ABI fluctuations.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-27
      DOI: 10.1108/ECAM-05-2022-0500
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • How technological, environmental and managerial performance contribute to
           the productivity change of Malaysian construction firms

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      Authors: Mohd Azrai Azman, Zulkiflee Abdul-Samad, Boon L. Lee, Martin Skitmore, Darmicka Rajendra, Nor Nazihah Chuweni
      Abstract: Total factor productivity (TFP) change is an important driver of long-run economic growth in the construction sector. However, examining TFP alone is insufficient to identify the cause of TFP changes. Therefore, this paper employs the infrequently used Geometric Young Index (GYI) and stochastic frontier analysis (SFA) to measure and decompose the TFP Index (TFPI) at the firm-level from 2009 to 2018 based on Malaysian construction firms' data. To improve the TFPI estimation, normally unobserved environmental variables were included in the GYI-TFPI model. These are the physical operation of the firm (inland versus marine operation) and regional locality (West Malaysia versus East Malaysia). Consequently, the complete components of TFPI (i.e. technological, environmental, managerial, and statistical noise) can be accurately decomposed. The results reveal that TFP change is affected by technological stagnation and improvements in technical efficiency but a decline in scale-mix efficiency. Moreover, the effect of environmental efficiency on TFP is most profound. In this case, being a marine construction firm and operating in East Malaysia can reduce TFPI by up to 38%. The result, therefore, indicates the need for progressive policies to improve long-term productivity. Monitoring and evaluating productivity change allows an informed decision to be made by managers/policy makers to improve firms' competitiveness. Incentives and policies to improve innovation, competition, training, removing unnecessary taxes and regulation on outputs (inputs) could enhance the technological, technical and scale-mix of resources. Furthermore, improving public infrastructure, particularly in East Malaysia could improve regionality locality in relation to the environmental index. This study contributes to knowledge by demonstrating how TFP components can be completely modelled using an aggregator index with good axiomatic properties and SFA. In addition, this paper is the first to apply and include the GYI and environmental variables in modelling construction productivity, which is of crucial importance in formulating appropriate policies.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-27
      DOI: 10.1108/ECAM-11-2021-1018
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Investigating the factors affecting construction site productivity –
           a case of India

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      Authors: R.V.K. Vigneshwar, S. Shanmugapriya
      Abstract: Proper prediction of productivity can enable the enhanced estimation, realistic scheduling, and accurate cost forecasting of construction processes. Due to the existence of different labor sources (unionized and non-unionized), the prediction of productivity is still a significant problem in India. Moreover, the construction procurement processes and on-site performance are the predominant elements that can result in improved project outcomes. Thereby, the consideration of labor constraints and site conditions will play an important role in productivity improvement. This study investigates the factors affecting construction site productivity. A total of 28 factors are grouped under 7 categories as follows: labor constraints, safety and quality procurements, material and equipment (ME), site management, project working condition, delay controls, construction methods and techniques, and external factors. Furthermore, by involving these factors, the questionnaire survey was conducted among Indian construction practitioners. As a result, 204 responses were received and the data were analyzed using a reliability test, relative importance index (RII), and analysis of variance (ANOVA). The result of this study highlighted the importance of strategic construction management activities in terms of effective planning of ME, planning and realistic scheduling of construction activities, proper communication, information sharing, etc. Thus, this study provides a clear insight to the Indian construction practitioners in determining the effect of these site factors on the successful execution of their projects. In this paper, the problem of construction productivity in India and its causes are explained effectively. This study examines the preference of labor contract, labor source, and most importantly, the factors affecting site productivity. Moreover, the other lagging issues regarding the management of construction activities are also described in detail.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-26
      DOI: 10.1108/ECAM-06-2022-0529
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Configuration processing and construction of large-span karbandi vaults: a
           case of the karbandi vaulting of Haj-Mohammad-Qoli Timche in Tabriz
           Historic Bazaar

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      Authors: Amir Amjad Mohammadi, Hadi Safaeipour, Mohammad Reza Chenaghlou, Alireza Behnejad, Roham Afghani Khoraskani
      Abstract: This paper aims at discovering the traditional techniques of Persian architecture for covering large-span spaces with a kind of ribbed vault titled “Karbandi”. This structure is generated by intersecting several arches with a harmonic stellar geometry. Preliminary studies show that span factor affects the structural form of karbandi and large-span cases, despite similar architectural forms, have different structural systems and specific construction methods. The main focus of this paper is how karbandi has been designed and built on large-spans. To answer this question, the configuration and construction of a large-span karbandi in Tabriz Bazaar were recognized. Data collection of the research was initially done in three parallel directions through the archival study of restoration documents, direct observation of the corpus of the vaultings and interviews with the master mason of the Haj-Mohammad-Qoli Timche restoration team. Then by cross-referencing the gathered data, the construction process of the karbandi was simulated in Rhino 6 and Grasshoppers software and its BIM-M models were created in three levels of development: LOD300, LOD350 and LOD400. In the next step, the preliminary BIM-M models of the karbandi were presented to the interviewed mason and revised and completed based on his comments. Analyzing the BIM models by reverse engineering, resulted in (1) Discovering a unique self-supporting masonry construction method applied for the erection of karbandi vaulting on large-spans. (2) Finding the effect of scale factor on the architectural and structural form of the karbandi vault. (3) Discovering the connection types of the karbandi vault based on the construction details. Despite the wide applications of karbandi vaults throughout history, very little information of their construction techniques is available. The techniques have mostly been experientially and orally passed down from masters to apprentices and rarely been documented. The quest to design and construct a karbandi vault is therefore like solving a puzzle whose most important guide is historical cases. Due to the geometric complexity of karbandi and its ability to cover large-span spaces, solving the puzzle can lead to achieving some technical ideas for masonry cross-ribbed vaulting. A great riddle of the karbandi vaults is how to design and build them on a large span.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-23
      DOI: 10.1108/ECAM-04-2022-0306
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Factors affecting unitized curtain wall system adoption for Hong Kong's
           high-rise residential buildings: a multi-stakeholder perspective

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      Authors: Tai Wai Kwok, Siwei Chang, Heng Li
      Abstract: The unitized curtain wall system (UCWS), one of the prefabricated technologies, is increasingly attracting attention in the Hong Kong construction industry. However, this innovative technology still lacks on-site implementation in high-rise residential buildings. To promote its development, this study aims at identifying the influential factors of UCWS adoption in Hong Kong's high-rise residential buildings from a multi-stakeholder perspective. Factors were first selected through an in-depth literature review and a semi-structured interview. Then the factors were validated through a questionnaire survey using Cronbach's Alpha Reliability Test. Next, the factors were ranked regarding their importance using mean-score ranking and standard deviation. Meanwhile, different stakeholders were clustered using an experimental factor analysis (EFA) model to find the shared preferences (namely common factors). The result shows that reduction of construction time (B1) and insufficient site storage area (C1) are the most important factors. The six stakeholder groups were clustered into two segments. B1 and improved quality control are the shared interests. While C1 and the need of specification change are the common concerns. There are two major breakthroughs in this study. First is the novelty of research objects. UCWS, particularly its application preference in high-rise residential buildings, has rarely been studied, yet it is urgently required. Second is the novel research perspective. The influential factors were studied from a multi-stakeholder perspective. Not only the significant factors for six specific stakeholders but also the shared preference for stakeholder groups was identified. The findings contribute to promoting UCWS more targeted, efficient and comprehensive, as well as demonstrating the collaborative possibilities of multi-stakeholders.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-23
      DOI: 10.1108/ECAM-04-2022-0359
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Risk-supported case-based reasoning approach for cost overrun estimation
           of water-related projects using machine learning

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      Authors: Hossein Sohrabi, Esmatullah Noorzai
      Abstract: The present study aims to develop a risk-supported case-based reasoning (RS-CBR) approach for water-related projects by incorporating various uncertainties and risks in the revision step. The cases were extracted by studying 68 water-related projects. This research employs earned value management (EVM) factors to consider time and cost features and economic, natural, technical, and project risks to account for uncertainties and supervised learning models to estimate cost overrun. Time-series algorithms were also used to predict construction cost indexes (CCI) and model improvements in future forecasts. Outliers were deleted by the pre-processing process. Next, datasets were split into testing and training sets, and algorithms were implemented. The accuracy of different models was measured with the mean absolute percentage error (MAPE) and the normalized root mean square error (NRSME) criteria. The findings show an improvement in the accuracy of predictions using datasets that consider uncertainties, and ensemble algorithms such as Random Forest and AdaBoost had higher accuracy. Also, among the single algorithms, the support vector regressor (SVR) with the sigmoid kernel outperformed the others. This research is the first attempt to develop a case-based reasoning model based on various risks and uncertainties. The developed model has provided an approving overlap with machine learning models to predict cost overruns. The model has been implemented in collected water-related projects and results have been reported.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-23
      DOI: 10.1108/ECAM-05-2022-0450
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Critical success factors for the implementation of urban regeneration
           REITs in China: a TISM–MICMAC based approach

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      Authors: Xiaer Xiahou, Zirui Li, Jian Zuo, Ziying Wang, Kang Li, Qiming Li
      Abstract: Real estate investment trusts (REITs) have shown great potential in addressing the current contradiction between underinvestment and sustainable development of urban regeneration in China, as well as in further facilitating the transformation and upgrading of China's urban development. In this regard, this study aims to investigate critical success factors (CSFs) and explore the relationships among these factors, and serve as a reference to provide recommendations and strategies for the successful implementation and sustainable development of urban regeneration REITs. In this study, an integrated total interpretive structural modeling–matriced impact croises multiplication applique (TISM–MICMAC) approach using the TISM technique and MICMAC analysis is then implemented to explore the relationships among CSFs, demonstrate the hierarchical structure and classify these factors into clusters based on calculated driving powers and dependence. This study has determined a final list of 11 CSFs through literature review and expert survey. The TISM model demonstrates a six-level hierarchical structure encompassing the influence transmission paths of CSFs, in which the most significant factors and links are established, while the MICMAC analysis further classifies CSFs into four clusters as a complement for the findings of the TISM technique. This study offers practical implications for governments, individual and institutional investors, REITs and property managers, and other stakeholders concluded in urban regeneration REITs. The final list of determined CSFs can serve as the decision points for management and control of the implementation processes, while the findings of the TISM–MICMAC approach can be a significant reference to provide strategies for optimization and enhancement of urban regeneration REITs. This study is a novel attempt to use both the TISM technique and MICMAC analysis to investigate CSFs for the implementation of urban regeneration REITs, and to address the theoretical and methodological research gaps in the existing literature.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-22
      DOI: 10.1108/ECAM-03-2022-0220
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • The concept of integration in an IPD context:
           a grounded theory review

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      Authors: Sara Rankohi, Mario Bourgault, Ivanka Iordanova
      Abstract: Recent construction literature has been focusing more on integrative contracting approaches such as integrated project delivery (IPD). However, conceptual studies on integration in IPD literature are scattered and fragmented, that is, most of the studies only focused on the segmented dimension of integration. A systemic understanding of the concepts of integration in IPD project-based context is still lacking. To fill this gap, this paper analyzes two aspects of integration (dimensions and directions) in IPD literature and explores their extent in construction projects. Grounded theory review and focus group discussion approaches were employed to perform a thorough conceptual review of the literature, frame the research into the theory and increase the fundamental understanding of the concept of integration in IPD literature. In this study, IPD integrating techniques were identified and their integration dimensions and directions were discussed. Results show that integration in the project-based environment of IPD is a multidimensional construct. Based on organizational, contractual and operational characteristics of IPD projects, twenty-four integration mechanisms were identified and framed into seven clusters. The integration directions over project life-cycle were demonstrated in three contexts: (1) an on-site construction project, delivered traditionally, (2) an on-site construction project, delivered with IPD and (3) an off-site construction project, delivered with IPD. This paper gathers the segments of integration into a comprehensive overview, which can help researchers and practitioners explore elements of IPD project success more precisely. A theoretical framework of integration clusters is developed, based on IPD literature. The impact of IPD on on-site versus off-site construction is illustrated from an integration direction perspective. Finally, future areas of studies for researchers and practitioners about the concept of integration in an IPD context are discussed. This paper provides a point of departure for future theoretical and empirical explorations.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-20
      DOI: 10.1108/ECAM-01-2022-0009
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • A critical review and analysis of decision-support processes and tools
           for project delivery method selection

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      Authors: Vassiliki Demetracopoulou, William J. O'Brien, Nabeel Khwaja, Jeffrey Feghaly, Mounir El Asmar
      Abstract: Over the last three decades, construction projects have increasingly been delivered through alternative delivery methods. As a result, many owners have a range of delivery methods to choose from and aim to use the right one for each of their projects. Researchers have developed several tools and decision-support processes to facilitate this selection procedure. The purpose of this study is to review and discuss differences and common themes across selection tools developed by academic researchers and project owners. The study reviews prominent selection processes and tools used for infrastructure projects by conducting an in-depth literature review and using the content analysis method to elicit findings on the methodologies and criteria presented in the literature. This study presents three principal findings. First, findings show three common themes emerge within the selection criteria—characteristics, goals and risks. Second, while academic studies most commonly suggest employing multi-attribute analysis, this study reveals that, in practice, selection tools most frequently employ a staged or gated evaluation based on the type of criteria and their importance to the decision. Finally, this review further highlights the importance of institutional context in decision-making. This work contributes to the body of knowledge by providing guidance to practitioners and opening new directions for researchers around the way selection criteria are categorized in the relevant literature and the institutional context considerations when structuring or evaluating a selection process or tool.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-20
      DOI: 10.1108/ECAM-05-2022-0455
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • The influence of higher learning institutions in developing the experience
           economy from the perspective of the urban community

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      Authors: Noor Alyani Nor Azazi, Maslina Mohammed Shaed, Mohamad Shaharudin Samsurijan, Andrew Ebekozien
      Abstract: The development of higher learning institutions (HLIs) is considered a strategy to trigger urban space development – and it is the economy in most developing countries. HLIs can develop and maintain pace with the experience economy in the current urban economy, particularly in the services sector. This paper seeks to evaluate the influence of HLIs on elements of the experience economy in the urban services sector in Bandar Baru Bangi (BBB), a knowledge-based city. The research adopted a purposive sampling technique and engaged 382 urban community respondents in BBB, Malaysia. The study used four elements (education, gastronomy, health, and the retail sectors) to assess the experience economy performance. The results show that the local community is the “active users” of the services, and the active users have enjoyed the existence of the experience economy. Findings reveal a preference for education and health over gastronomy and retail sectors. Of these four sectors, the education sector experience had the most prominent effect, thereby showing that the higher learning institutions around this city served a major role in the sector development of urban services. The research used a purposive sampling method and engaged 382 respondents in BBB, Malaysia. The restriction of the study area to BBB is a limitation component. Future studies should explore a large-scale investigation to evaluate better and validate the results. The research has shown that the city's higher education institutions have affected the development of the experience economy in the four sectors. The study shows that the framework of the experience economy and the establishment of HLIs can stimulate the experience economy within the urban services sector.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-20
      DOI: 10.1108/ECAM-05-2022-0469
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Dispute root causes and prevention in Iranian public-private partnership
           projects: a causal-predictive model

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      Authors: Ali Mohammad Mirzaee, Towhid Pourrostam, Javad Majrouhi Sardroud, M. Reza Hosseini, Payam Rahnamayiezekavat, David Edwards
      Abstract: Public–private partnerships (PPPs) are notoriously prone to disputes among stakeholders, some of which may unduly jeopardize contract performance. Contract disputes arising in Iran are often due to inefficiency of PPP concession agreements and practice. This study presents a causal-predictive model of the root causes and preventive measures for inter-organization disputes to enhance the likelihood of achieving desirable performance in PPP projects. A theoretical “causal-predictive” model was developed with fourteen hypotheses based on extant literature and contractual agency theory, which resulted in the creation of a pool of 110 published items. Data were obtained from a questionnaire survey with 75 valid responses, completed by 4 stratified groups of Iranian PPP experts. Partial least square structural equation modeling (PLS-SEM) was used for validating the proposed model via a case study. Results reveal that the main three factors of PPP desirable performance are as follows: on-time project completion, high quality of activities/products and services for public satisfaction. Further, the most influential factors of the lifecycle problems, construction stage, and preferred risk allocation included risk misallocation, improper payment mechanism and failure to facilitate a timely approval process. For researchers, the findings contribute to the theory of contractual agency; specifically, how different influences among the model's elements lead to better PPP performance. In practical terms, proposed outcome-based strategies will inform PPP stakeholders to avoid dispute occurrence and thus improve the time, quality and services of projects.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-16
      DOI: 10.1108/ECAM-02-2022-0108
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Experience-based systematic construction hazard warning

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      Authors: Mohan Wang, Pin-Chao Liao
      Abstract: Hazard warning schemes provide efficient hazard recognition and promote project safety. Nevertheless, these schemes perform poorly because the warning information is calibrated for individual characters and is not prioritized for the entire system. This study proposes a hazard warning scheme that prioritizes hazard characters from the inspection process based on the inspectors' experience. First, hazard descriptions were decomposed into their characters, forming a double-layer network. Second, warning schemes based on cascading effects were proposed. Third, character-based warning schemes were simulated for various experiences. The results show that when a specific hazard is detected, the degree centrality is the most effective parameter for prioritization, and hazard characters should be prioritized based on betweenness centrality for experienced inspectors, whereas degree centrality is preferred for novice inspectors. The warning scheme theoretically supplements the information-processing theory in construction hazard warnings and provides a practical warning scheme with priority for the development of automated hazard navigation systems.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-15
      DOI: 10.1108/ECAM-02-2022-0151
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Modeling influence mechanism of factors on corporate social
           responsibility implementation: evidence from Chinese construction firms

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      Authors: Qian Zhang, Bee Lan Oo, Benson Teck-Heng Lim
      Abstract: The interest in corporate social responsibility (CSR) has become burgeoning in the construction industry as firms are under constant pressure from socially conscious stakeholders to demonstrate their efforts to address various CSR issues. This study aims to unveil the key practices and impact factors (KPIFs) of CSR implementation in construction firms and the interrelationships among different key impact factors toward attaining CSR practices. Mobilizing the integrated institutional, stakeholder and self-determination theories, a theoretical framework was first developed to elaborate the potential inter-relationships among the key impact factors toward CSR implementation. Data were collected from extra-grade contractors through an online questionnaire survey and was then analyzed by the partial least square structural equation modeling method. The results show that construction firms' CSR practices could be classified into eight distinct key dimensions, e.g. shareholders' interests, government commitment and environment preservation. It is found that three groups of key impact factors – external institutional factors (especially coercive-normative factors), intrinsic factors (especially strategic business direction and organizational culture) and identified factors (i.e. the perceived importance of CSR practices) – have statistically significant positive impacts on most key dimensions of CSR practices. The research findings have implications for top management to better understand CSR implementation, thereby helping them secure legitimacy to survive and advance in the competitive construction businesses. The findings contribute to the theoretical body of knowledge in CSR by modeling and empirically demonstrating the influence mechanism of CSR implementation in construction within an integrated model.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-14
      DOI: 10.1108/ECAM-07-2021-0603
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Public–private partnerships: a collaborative framework for ensuring
           project sustainable operations

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      Authors: Bingsheng Liu, Juankun Li, Dan Wang, Henry Liu, Guangdong Wu, Jingfeng Yuan
      Abstract: This study aims to develop a collaborative governance framework (CGF) to systematically investigate the impeding factors (IFs) in terms of the operational sustainability of PPPs. It examines the transmission pattern (i.e. the way in which network members react to each other) of the IFs network. Literature review and interview were adopted to identify the IFs. Then, with the data collected from the interview in China, the social network analysis and interpretive structure model were synergised to examine the chain reaction, driving and dependent powers, and hierarchical structure of the identified IFs. The results reveal that the cognition, institutional, financial and participation aspects are key barriers confronted by PPP sustainability, and the government plays a leading role in controlling factors causing sustainability-related problems in PPPs. Weak government leadership and institutional environment were identified as the most fundamental reasons triggering a chain of IFs, while project governance and management activities act as bridge nodes that play an intermediary role in the IFs network. This research contributes to the literature on PPP governance by (1) bridging the literature gap through the development of CGF for explaining the governance of PPP sustainability with a holistic view that considers both macro environment and operational project processes; and (2) identifying the transmission pattern of IFs network which uncovers the underlying dynamics causing the unsustainable operation of PPPs. This research provides practitioners with a list of key checkpoints for preventing failure escalation, enables decision-makers to prioritise obstacle-mitigation efforts and develop a feasible process to control PPP operation, and offers management countermeasures to remove the key barriers impeding PPP sustainability. This study is novel for adopting network-oriented techniques to quantify the relative importance of the IFs and examine the transmission pattern of the IFs system. Therefore, it visualises the complex underlying dynamics causing unsustainable PPP operation, identifies root and direct causes of PPP failures, and provides decision-makers with insights into sustaining PPP sustainability from a network-oriented perspective.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-14
      DOI: 10.1108/ECAM-12-2021-1124
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Age-performance consideration in the recruitment of tradespeople in
           Nigerian construction industry

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      Authors: Adefemi Aka, Abdulkabir Opeyemi Bello, Adebisi Abosede Bamgbade, Abdulquadri Ade Bilau
      Abstract: Age is one of the critical factors used by many organizations to determine employees' performance. It is being considered in the retirement process of construction professionals. However, age as a critical factor is not considered in the recruitment of a specific set of workers in the construction industry. Therefore, this study investigated the significant relationship between the ages of tradespeople and their performance in construction projects. The study also explored the age at which performance begins to decline and proposes strategies that can be used to sustain their effectiveness before the official retirement age. Mixed methods research designs were adopted in the study. To be precise, physical observations, interviews and questionnaires were the instruments used for data collection in the mixed methods research design. The outcomes of the study revealed that the age groups of tradespeople in the Nigerian construction industry are 16–30 (group one), 31–45 (group two) and 46–58 (group three) respectively. Group three is the prevalent age group. It was also discovered that performance begins to decline at 53 years. The age-performance decline of tradespeople in Nigerian construction projects can be delayed through certain strategies such as regular strength training exercises and an adequate nutritional lifestyle. The study enables construction managers to have an adequate understanding of the negative influence of old age on the performance of tradespeople in construction projects. This will enable construction firm managers to recruit from the age range of 16–52 and stop retiring employees within this age bracket, consequently curbing the skills gap which is prevalent in the study context and the global construction industry. The study is limited to tradespeople performance in construction firms in Abuja, Nigeria where there are several ongoing projects on a daily basis. The study enables project managers to estimate the number of tradespeople required for a particular task and consequently save the aged tradespeople from health risks associated with excessive workloads. This paper is the first of its kind to be conducted in the study context, to establish the specific age at which performance begins to decline among construction tradespeople.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-13
      DOI: 10.1108/ECAM-05-2022-0430
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Obstacles to the career progression of professional female project
           managers (PFPMs) in the Ghanaian construction industry

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      Authors: Kofi Agyekum, Samuel Amos-Abanyie, Victoria Maame Afriyie Kumah, Augustine Senanu Komla Kukah, Burcu Salgin
      Abstract: There are significantly fewer women than men in managerial positions, mainly project management. This problem is noticeable in the construction and engineering sectors, traditionally male-dominated industries with leadership much dependent on masculine qualities. This study examines the obstacles to the career progression of professional female project managers (PFPMs) in the Ghanaian construction industry. Twenty potential obstacles to women's career progression in the construction industry were identified from a comprehensive review of the literature. A questionnaire was prepared and administered among eighty project managers who work in large construction firms in Ghana. Data obtained were analysed using one sample t-test, Kendall's concordance test, Chi-square test and exploratory factor analysis. The findings suggest the significance of all the twenty factors as potential obstacles to the career progression of PFPMs. The exploratory factor analysis identified five underlying grouped obstacles: “leadership and human capital related issues”, “issues related to discrimination of all forms”, “career aspiration and planning issues”, “female related role conflicts”, and “recruitment and selection issues”. The subjective nature of the views of the respondents could influence the evaluation of the obstacles. With this study only exploring the dimensions underlying the significant obstacles, future studies could examine the interrelationships between the various obstacles and move on to determine their impacts on the career progression of professional female PMs as well. Having an in-depth understanding of these obstacles, stakeholders and other industry practitioners in Ghana could make informed decisions on measures to put in place to address some of these critical issues to raise the standard of professional female PMs in the construction industry. Policymakers and gender advocates in Ghana could also take up some of the critical obstacles identified and provide suitable strategies to educate and create the needed awareness of the industry on those obstacles. Practically, the findings from this study can be valuable for informing decision-making at different management levels in the construction industry. With country-specific (Ghana) obstacles identified, the findings significantly contribute to the literature on the career advancement of females in the construction sector.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-12
      DOI: 10.1108/ECAM-03-2022-0283
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Evolution model and quantitative assessment of risk network in housing
           construction accidents

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      Authors: Lianhua Cheng, Dongqiang Cao
      Abstract: Clarifying the risk evolution mechanism of housing construction for work-safety management is essential. Existing studies have inadequately discussed the risk-accumulation process in housing construction. Therefore, this study aimed to use the complex network theory and risk allocation mechanisms to explore the evolution of risk factors. The authors analysed a database of housing construction accidents in China from 2015 to 2020 to identify risk factors. Moreover, the causal relationship between risk factors was determined through a systematic analysis of the logical sequence of risk factors. A complex network was used to construct a risk network for housing construction accidents (RNHCA). The risk matrix method was used to define the factor risk threshold, and a risk value was assigned based on the correlation between risk factors. This contributes to the examination of the evolution mechanism of risk networks in the process of risk factor transmission. The case verification results show that the RNHCA quantitative assessment model can better evaluate the system risk status of housing construction accidents. Furthermore, this model can identify the key risk factors and risk chains with high risk in the evolution of the risk network. Accident investigation reports need to be classified and processed to analyse the evolution law of risk networks under different scales of construction project, such as high-rise buildings, middle-rise buildings, and low-rise buildings. This study clarified the risk evolution process of complex systems in housing construction and provided a new method for analysing accidents. This study clarifies the risk value allocation of risk factors in the transmission process and reveals the process of risk factor evolution in housing construction. This study explains the individual risk factors that form a systemic risk through the transmission chain. Moreover, this paper clarified the transformation relationship between system risk and accidents. The paper also provided a new perspective for risk analysis.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-09
      DOI: 10.1108/ECAM-05-2022-0446
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Evaluating and optimizing performance of public–private partnership
           projects using copula Bayesian network

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      Authors: Siavash Ghorbany, Saied Yousefi, Esmatullah Noorzai
      Abstract: Being an efficient mechanism for the value of money, public–private partnership (PPP) is one of the most prominent approaches for infrastructure construction. Hence, many controversies about the performance effectiveness of these delivery systems have been debated. This research aims to develop a novel performance management perspective by revealing the causal effect of key performance indicators (KPIs) on PPP infrastructures. The literature review was used in this study to extract the PPPs KPIs. Experts’ judgment and interviews, as well as questionnaires, were designed to obtain data. Copula Bayesian network (CBN) has been selected to achieve the research purpose. CBN is one of the most potent tools in statistics for analyzing the causal relationship of different elements and considering their quantitive impact on each other. By utilizing this technique and using Python as one of the best programming languages, this research used machine learning methods, SHAP and XGBoost, to optimize the network. The sensitivity analysis of the KPIs verified the causation importance in PPPs performance management. This study determined the causal structure of KPIs in PPP projects, assessed each indicator’s priority to performance, and found 7 of them as a critical cluster to optimize the network. These KPIs include innovation for financing, feasibility study, macro-environment impact, appropriate financing option, risk identification, allocation, sharing, and transfer, finance infrastructure, and compliance with the legal and regulatory framework. Identifying the most scenic indicators helps the private sector to allocate the limited resources more rationally and concentrate on the most influential parts of the project. It also provides the KPIs’ critical cluster that should be controlled and monitored closely by PPP project managers. Additionally, the public sector can evaluate the performance of the private sector more accurately. Finally, this research provides a comprehensive causal insight into the PPPs’ performance management that can be used to develop management systems in future research. For the first time, this research proposes a model to determine the causal structure of KPIs in PPPs and indicate the importance of this insight. The developed innovative model identifies the KPIs’ behavior and takes a non-linear approach based on CBN and machine learning methods while providing valuable information for construction and performance managers to allocate resources more efficiently.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-09
      DOI: 10.1108/ECAM-05-2022-0492
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • On the challenges of inter-organisational data in real estate: the role of
           knowledge sharing

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      Authors: Niklas Wiesweg, Philipp Schäpers, Torben Bernhold, Timo Hartmann
      Abstract: To take full advantage of new technologies (e.g. machine learning), a consistent and more comprehensive knowledge sharing across organisational boundaries is required. The real estate industry often faces this challenge as well. The paper aims to approach this circumstance by analysing the real estate supply chain (RESC) and aims to identify ways to achieve a more disruption-free flow of information. To answer the research question, a cross-sectional study was conducted using a standardised online questionnaire and structural equation modelling. The majority of the study participants came from German-speaking countries. The structural equation model was used to examine the relationships between the factors inter-organisational relationship, knowledge sharing skills and knowledge sharing. The authors found that inter-organisational relationship has a significant influence on knowledge sharing and thus on the occurrence of information flow disruptions. Aligning shared goals of parties plays a major role to improve inter-organisational relationship. Control and supervision does not show any significant effect. Knowledge sharing skills in turn have an influence on knowledge sharing. The alignment of interests and the creation of trust should be established in the future as core elements within the framework of contract negotiations, the lived contract and the contract itself, in order to reduce disruptions in the flow of information. From the perspective of knowledge sharing, this study attempts to identify necessities within the framework of contractual design options that simplify and promote the inter-organisational use of algorithms to increase transactional efficiency.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-09
      DOI: 10.1108/ECAM-12-2021-1081
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Modern tendency of development of architectural typology on the example of
           micro-apartment for Almaty city

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      Authors: Tatsiana Karatseyeva, Aizhan Akhmedova
      Abstract: The purpose of this paper is to analyze the social and functional features of micro-apartment and, based on the findings, to demonstrate the projects of modern micro-apartment designed for one or two people, which are implemented in the experimental design. Based on the analysis of the study of theoretical scientific works on the research topic and from the standpoint of an interdisciplinary discourse the social and economic prerequisites for the demand for such a dwelling are determined and the categories of citizens for whom a micro-apartment is an advantage are identified. Particular attention is paid to the typological boundaries of the study, the generalization and synthesis of sources which is reflected in identifying the features of the functional zoning of a micro-apartment in connection with the needs of residents and determining modern ways to improve the comfort of living. At the examples of experimental design of micro-apartment for the city of Almaty we substantiated the expanding the existing typology of residential buildings by adding a new type of urban dwelling – a micro-apartment which occupies a niche between apartment housing for permanent residence and traditional hotels. The content of the study is devoted to the analysis of a micro-apartment as a new type of modern urban dwelling for a single and small-family population. Urban residents’ interest in economical, affordable small-area dwellings as well as the need to study and design micro format dwellings for the modern urban environment is a topical issue.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-08
      DOI: 10.1108/ECAM-01-2022-0080
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Evolutionary mechanism of green innovation behavior in construction
           enterprises: evidence from the construction industry

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      Authors: Xingwei Li, Xiang Liu, Yicheng Huang, Jingru Li, Jinrong He, Jiachi Dai
      Abstract: The green innovation behavior of construction enterprises is the key to reducing the construction industry's carbon emissions and realizing the green transformation of the construction industry. The purpose of this study is to reveal the evolutionary mechanism of green innovation behavior in construction enterprises. This study is based on resource-based theory, Porter's hypothesis and signaling theory. First, a measurement model of the green innovation behavior of construction enterprises was constructed from three aspects: environmental regulation, enterprise resources and public opinion through hierarchical analysis. Then, the state values of the measurement model of green innovation behavior of construction enterprises were calculated through the time series data from 2011–2018. Finally, the Markov chain model was used to predict the evolutionary trend of green innovation behavior of construction enterprises, and the accuracy of the prediction effect of the Markov chain model was verified using the time series data of 2019. The Markov chain model of green innovation behavior of construction enterprises constructed in this study has high accuracy. This model finds that the transition of the growth state of green innovation behavior in China's construction industry is fluid and predicts the evolution trend of the innovation behavior of construction enterprises. In the future, the green innovation behavior of construction enterprises has a probability of 70.17% to be in a continuous growth state and 40.27% to be in a rapid growth state. Based on the Markov chain model of green innovation behavior of construction enterprises, this study finds that the transition of the growth state of green innovation behavior of construction enterprises in China has the characteristics of liquidity. In addition, it reveals the development process of the green innovation behavior of construction enterprises from 2011–2018 and predicts the evolution trend of the green innovation behavior of construction enterprises.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-08
      DOI: 10.1108/ECAM-02-2022-0186
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Institutional isomorphism and adoption of building information modelling
           (BIM) in small and medium-sized enterprises (SMEs) of the Nigerian
           Construction Industry

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      Authors: Abdullahi B. Saka, Daniel W.M. Chan, Saheed O. Ajayi
      Abstract: Although there has been a surge in the adoption of building information modelling (BIM) in the construction industry, the small and medium-sized enterprises (SMEs) are still struggling and perceive its adoption as risky. The SMEs in developing economies are especially on the disadvantaged side of the digital divide. Extant studies have focused on large firms and there are scanty studies on the influence of the external environments on BIM adoption in SMEs. Thus, this study espouses institutional theory (INT) to examine the influence of coercive, mimetic, and normative pressures on BIM awareness and adoption in SMEs. A quantitative approach was employed, and data were collected from the Nigerian construction SMEs via an empirical questionnaire survey using a sequential stratified and convenient sampling method. Hypothesized relationships between the coercive, mimetic, and normative pressure and BIM in SMEs were empirically tested using the partial least squares structural equation modelling (PLS-SEM) technique and the model was validated with the “PLSpredict” procedure. The results revealed that coercive and mimetic pressures significantly influence BIM adoption in SMEs while normative pressures have the strongest influence on BIM in SMEs. Also, BIM awareness is an important predictor of BIM adoption. The findings also shed light on the influence of firmographics on BIM awareness and adoption in Nigerian SMEs. The study empirically validates the applicability of INT and highlights that BIM adoption is not only influenced by internal responses to the need for efficiency but also by external pressures. It implies a clear need for intentional isomorphic pressures in driving BIM adoption in SMEs. The study employs the INT to explain a phenomenon that has not been theoretically explored in the context of SMEs in developing economies. Lastly, the study provided valuable insights into driving BIM adoption, together with the effective practical implications for implementation and potential research areas for further studies.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-06
      DOI: 10.1108/ECAM-02-2022-0188
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Identification and assessment of disruption claim management risks in
           construction projects: a life cycle-based approach

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      Authors: Murat Cevikbas, Ozan Okudan, Zeynep Işık
      Abstract: The purpose of this paper is to propose a disruption claim management (DCM) life cycle and a risk management framework to provide comprehensive guidance to construction practitioners for facilitating effective and efficient DCM. DCM life cycle was initially developed through a focus group discussion (FGD) with the participation of the construction practitioners who have diverse experiences about DCM. The life cycle is comprised of 6 phases and also includes proper reactions of the owners and contractors. Then, 42 risk factors that can impact the deliverables of DCM were identified through a literature review and an additional FGD session. This was then followed by a Fuzzy Analytical Hierarchy Process (FAHP) which was performed to evaluate the importance of each risk factor in terms of the factor's impact on the success of DCM. Additionally, consistency analysis was performed to further maximize the reliability of the results. Findings revealed that a proactive and systematic approach should be adopted and DCM practices should be initiated before any disruption event is triggered. Accordingly, the proposed framework recommends DCM practices to be initiated early in the contract development phase since compensation for the disruption might be recovered only to the extent that the contract permits. The contract-related risks were given top priority by the experts so that the results of the fuzzy AHP analysis also verified the significance of the contract development phase. Besides contract-related risks, risks related to insufficient site observation, ignorance of the project team, cognitive bias and conflict of interest were determined as the most significant DCM risks, needing an urgent and sophisticated risk response plan. Lastly, results suggested that “Site observation and record-keeping” is the most formidable phase since the phase's implementation on a continuous basis could create unforeseen organizational challenges such as mismanagement of project records, especially in the dynamic and turbulent environment of the construction projects. Disruption – which is caused mostly by change – is inevitable in construction projects due to their sophisticated nature. DCM, therefore, becomes crucial to compensate losses of contractors and eliminate or diminish the prolonged dispute resolution process. Existing studies, however, do not provide a comprehensive theoretical basis for the DCM life cycle and DCM life cycle's potential risks so that DCM life cycle's promising benefits can hardly be materialized. Thus, developing a DCM life cycle and associating DCM life cycle with risk management, this study is highly believed to make a promising theoretical contribution to the DCM domain since this is one of the earliest attempts in the literature. Additionally, this research provides construction practitioners with an insight into the effective implementation of DCM practices in construction projects.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-06
      DOI: 10.1108/ECAM-05-2022-0470
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • A critical study of the existing issues in circular economy practices
           during movement control order: can BIM fill the gap'

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      Authors: Zul-Atfi Bin Ismail
      Abstract: The improper evaluation and information management of circular economy (CE) (i.e. design, planning, supply chain, waste pile and material hazard) is critical for public health and is a major problem in the waste management of precast concrete (PC) building manufacture and construction and demolition wastes industry. The CE model is particularly problematic for PC building construction projects where the standard practices for the total number of waste building materials are not appropriate and do not match the safe disposal design specification, such as the recent number increase in the Malaysian illegal construction waste pile during the Movement Control Order (11 March 2021, about 5 out of 29 landfills related to states enforcing Act 672). The study aims to develop a framework application (i.e. Building Information Modelling [BIM]) that supports intelligent waste recycling management and sophisticated CE model system solutions. Thus, the development of a new BIM-based programming algorithm approach is proposed for optimising CE in accordance with the needs of the current PC building construction schemes. As a precursor to this study, the concepts of CE practices are reviewed and the main features of BIM tools and techniques currently being employed on such projects are presented. Sophisticated CE system solutions are described as an essential component of this optimisation to reduce the amount of waste generated at the end of the life cycle of PC building construction projects and to better manage the resources used throughout it. Finally, the potential for a research framework for developing such a system in the future is presented.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-06
      DOI: 10.1108/ECAM-08-2021-0676
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Effect of project organization elements on the mental health of project
           management practitioner in AEC projects

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      Authors: Bashir Tijani, Xiaohua Jin, Robert Osei-Kyei
      Abstract: Due to the frenetic and dynamic working conditions ascribed to architecture, engineering and construction (AEC) project organizations, enormous research has addressed the poor mental health propensity of project management practitioners (PMPs). However, research has not considered the distant factors related to organizational design causing poor mental health. Therefore, this study addresses the problem by integrating institutional theory, agency theory and resource-based theory (RBT) to explore the relationship between organizational design elements: project governance, knowledge management, integrated project delivery, project management skills and mental health management indicators. Examples of mental health management indicators include social relationships, work-life balance and project leadership. Purposive sampling method was adopted to collect survey data from 90 PMPs in 60 AEC firms in Australia. Structural equation modelling (SEM) was utilized to test the relationship between the variables. The research found that project governance, knowledge management and integrated project delivery are positively correlated to mental health management indicators. However, the research finding suggests that project management skills have a negative impact on mental health management indicators. The findings offer guidelines to AEC firms on achieving positive mental health management outcomes through concentration on project governance, knowledge management and integrated project delivery. It further calls for a reconsideration of existing project management skills causing poor mental health management outcomes.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-09-01
      DOI: 10.1108/ECAM-04-2022-0309
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • How does contract flexibility affect the sustainability performance
           of public–private partnership projects' A serial multiple mediator
           model

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      Authors: Bo Tian, Jiaxin Fu, Yongshun Xu, Longshan Sun
      Abstract: The risks and uncertainties of public–private partnership (PPP) projects threaten their sustainability. Contract flexibility, which is based on the theory of incomplete contract and transaction cost, may be a viable solution to this issue. The purpose of this study is to investigate the relationship between contract flexibility and the sustainability performance of PPP projects. The multiple mediating roles of justice perception and cooperation efficiency are assessed, thereby allowing the pathways and conditions to be understood more comprehensively for improving the sustainability performance of PPP projects. Nine hypotheses in the proposed research model are tested via structural equation modeling using data acquired from 218 Chinese PPP professionals. Results show that contract flexibility positively affects PPP project sustainability performance. Justice perception and cooperation efficiency play direct and sequential mediating roles in this effect. This study validates that contract flexibility positively impacts the sustainability performance of PPP projects, where justice perception and cooperation efficiency serve direct and sequential mediating roles. The findings of this study contribute to an improved understanding of the effect of contract flexibility on the sustainability performance of PPP projects. Furthermore, they provide important theoretical and practical insights into contract management as well as beneficial information and valuable initiatives for improving the sustainability of PPP projects.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-31
      DOI: 10.1108/ECAM-03-2022-0222
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • From Industry 4.0 to Construction 4.0: barriers to the digital
           transformation of engineering and construction sectors

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      Authors: Kaiyang Wang, Fangyu Guo, Cheng Zhang, Dirk Schaefer
      Abstract: The purpose of this study is to systematically identify, assess, and categorize the barriers to digital transformation (DT) in the engineering and construction sectors, and thus to better understand the impact and how these sectors might be overcome. This study adopted a sequential mixed qualitative and quantitative data collection and analysis approach. DT barriers were first identified from relevant literature and verified by an expert panel. Then, a questionnaire survey assessing the impacts of the identified DT barriers was distributed to construction professionals in China, and 192 valid responses were retrieved. Further, the data obtained were analyzed using ranking analysis, exploratory factor analysis (EFA), and partial least squares-structural equation modeling (PLS-SEM). Based on the ranking analysis, the top three barriers are “lack of industry-specific standards and laws,” “lack of clear vision, strategy and direction for DT,” and “lack of support from top management for DT.” EFA enabled the grouping of the 26 barriers into 3 categories: (1) lack of laws and regulations (LLR), (2) lack of support and leadership (LSL), and (3) lack of resources and professionals (LRP). The PLS-SEM analysis revealed that LLR, LSL, and LRP were found to have significant negative impacts on DT. These findings contribute to the body of knowledge on DT in the construction industry and help construction firms and government bodies improve the understanding of these barriers to DT and put forward relevant policies and incentives, thus seizing the DT benefits as a way to enhance construction project management.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-31
      DOI: 10.1108/ECAM-05-2022-0383
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • An approach for monitoring prefabricated building construction based on
           feature extraction and point cloud segmentation

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      Authors: Zhao Xu, Yangze Liang, Hongyu Lu, Wenshuo Kong, Gang Wu
      Abstract: Construction schedule delays and quality problems caused by construction errors are common in the field of prefabricated buildings. The effective monitoring of the construction project process is one of the key factors for the success of a project. How to effectively monitor the construction process of prefabricated building construction projects is an urgent problem to be solved. Aiming at the problems existing in the monitoring of the construction process of prefabricated buildings, this paper proposes a monitoring method based on the feature extraction of point cloud model. This paper uses Trimble X7 3D laser scanner to complete field data collection experiments. The point cloud data are preprocessed, and the prefabricated component segmentation and geometric feature measurement are completed based on the PCL platform. Aiming at the problem of noisy points and large amount of data in the original point cloud data, the preprocessing is completed through the steps of constructing topological relations, thinning, and denoising. According to the spatial position relationship and geometric characteristics of prefabricated frame structure, the segmentation algorithm flow is designed in this paper. By processing the point cloud data of single column and beam members, the quality of precast column and beam members is measured. The as-built model and as-designed model are compared to realize the visual monitoring of construction progress. The experimental results show that the dimensional measurement accuracy of beam and column proposed in this paper is more than 95%. This method can effectively detect the quality of prefabricated components. In the aspect of progress monitoring, the visualization of real-time progress monitoring is realized. This paper proposed a new monitoring method based on feature extraction of the point cloud model, combined with three-dimensional laser scanning technology. This method allows for accurate monitoring of the construction process, rapid detection of construction information, and timely detection of construction quality errors and progress delays. The treatment process based on point cloud data has strong applicability, and the real-time point cloud data transfer treatment can guarantee the timeliness of monitoring.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-30
      DOI: 10.1108/ECAM-11-2021-0985
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Safety tag generation and training material recommendation for
           construction workers: a persona-based approach

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      Authors: Pinsheng Duan, Jianliang Zhou, Wenhan Fan
      Abstract: Effective construction safety training has been considered to play a significant role in reducing the incidence of accidents. However, the current safety training methods pay less attention to the relationship between workers' personalized characteristics and their learning needs, which results in workers' low learning participation and poor training effect. The purpose of this paper is to improve the participation and effect of safety training for construction workers with a persona-based approach. This paper presents a persona-based approach to safety tag generation and training material recommendation. By extracting the demographic characteristics and behavior patterns tags of construction workers, a neural network algorithm is introduced to calculate the learning needs tags of workers, and the collaborative filtering recommendation method is integrated to enrich the innovation of recommendation results. Offline experiments and online experiments are designed to verify the rationality of the proposed method. The results show that the learning needs of workers are closely related to their background. The proposed method can effectively improve workers' interest in materials and the training effect compared with conventional safety training methods. The research provides a theoretical and practical reference for promoting active safety management and achieving worker-centered safety management. First, a persona-based approach is introduced to establish a novel framework for solving the problem of personalized construction safety management. Second, an artificial intelligence algorithm is used to automatically extract the learning needs tag values and design a hybrid recommendation method for construction workers' personalized safety training. The collaborative filtering method is integrated to enrich the innovation of recommendation results.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-30
      DOI: 10.1108/ECAM-12-2021-1143
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Construction and application of urban digital infrastructure—practice
           of “Urban Brain” in facing COVID-19 in Hangzhou, China

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      Authors: Xiaoli Yan, Tao Li
      Abstract: This paper aims to analyze Hangzhou Urban Brain in responding to COVID-19, including systematically sorting out the development mode, capabilities, composition and application of Urban Brain and exploring its role and effect. This paper tries to provide a reference for other cities' digital infrastructure construction through case analysis. The authors took Hangzhou Urban Brain as a typical case in urban digital infrastructure construction, and they conducted thorough research on its practice in facing COVID-19. The authors analyzed the key elements of Urban Brain, the application and the evaluation of Urban Brain through literature review, field investigation, questionnaire and interviews. Hangzhou Urban Brain has been deeply applied in urban management and has a good foundation. Therefore, when the COVID-19 occurred, the Urban Brain played an important role. The detailed practices facing COVID-19 are mainly in five aspects: information collection and analysis, ensuring material supply by government–enterprise collaboration, using AI and Big Data to “Visualize” COVID-19, etc. Moreover, Urban Brain has won high evaluation. However, Hangzhou Urban Brain still has problems like data privacy and security, technical issues, etc. This case study shows that Hangzhou's experience in Urban Brain construction is worthy of reference and promotion. Firstly, it can strengthen the understanding of digital infrastructure in responding to public health emergencies. Furthermore, it provides a reference for other urban governance worldwide by excavating the role and effect of digital infrastructure in preventing and controlling COVID-19. Thirdly, it explores how to improve the digital infrastructure construction to support public health challenges, which will help the cities grasp the actual value of data and make progress in this field. By this, it can provide references for cities in the world, especially in Asia to achieve sustainable city development.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-29
      DOI: 10.1108/ECAM-10-2021-0935
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Workers' relational identification with supervisors influences safety
           behaviour in construction projects

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      Authors: Hassan Ashraf, Alishbah Ali, Riza Yosia Sunindijo, Ahsen Maqsoom, Shoeb Ahmed Memon, Muhammad Usman Hassan
      Abstract: This research aims to examine the influence of workers' identification with their supervisors on safety behaviour in construction projects. Employing the job demands–resources theory, this research tested the relationships among relational identification as a personal resource, respectful engagement as a job resource, employee safety voice as a positive work behaviour and safety behaviour as the outcome. Partial least squares structural equation modelling (PLS-SEM) was used to analyse 120 quantitative data collected using a questionnaire survey. Relational identification, which reflects workers' identification with their supervisors, is a significant predictor of safety behaviour. Furthermore, respectful engagement and employee safety voice sequentially mediate the relationship between relational identification and safety behaviour. The internalisation of safety norms, values and practices in construction projects is contingent on the identification of workers with their supervisors. Safety behaviour of workers is a significant predictor of safety performance in construction projects. Research on numerous antecedents of safety behaviour points out that leadership is a significant predictor of construction workers' safe behaviour. Contributing to research on construction safety leadership, this research found that leader-subordinate relationship is key to make construction workers more psychologically ready to internalise the importance of safety behaviours at work.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-18
      DOI: 10.1108/ECAM-02-2022-0122
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Enhancing project stakeholder communication under insufficient knowledge
           of project management concepts

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      Authors: Ofer Zwikael, Michelle Salmona, Jack Meredith, Seyed Ashkan Zarghami
      Abstract: Although the literature is clear on what comprises effective project stakeholder management, communication between key stakeholders and project managers is often ineffective. Research is silent on stakeholders' insufficient knowledge of project management terminology, which is a barrier for such effective communication. This paper aims to identify the project management concepts that key stakeholders should understand to improve effective communication. This paper employs a three-step research design. In the first step, based on threshold concept theory, the authors identify the key project management concepts through interviews with 20 project management practitioners, trainers and trainees. In the second step, the authors confirm the findings from the first step and identify effective approaches to enhance project stakeholders' communication through seven additional interviews with project stakeholders. In the third step, the authors construct a functional model of the research findings by employing a system-level modeling tool. This research identifies five project management threshold concepts (TC) that are challenging for project stakeholders to understand (1) project benefits, (2) the iron triangle, (3) the critical path, (4) uncertainty and (5) project leadership. Following these knowledge barriers, the paper proposes unique approaches to develop effective project stakeholder communication. This paper advances project stakeholder management research by identifying knowledge barriers and providing project managers with more effective approaches to better engage with their stakeholders.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-18
      DOI: 10.1108/ECAM-02-2022-0154
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Coupling coordination degree spatiotemporal characteristics and driving
           factors between new urbanization and construction industry: evidence from
           China

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      Authors: Shengbin Ma, Zhongfu Li, Long Li, Mengqi Yuan
      Abstract: The coordinated development of the urbanization and construction industry is crucial for the sustainable development of cities. However, the coupling relationship and coordination mechanism between them remain unclear. To bridge this gap, this study attempts to explore the level of coupling coordination between new urbanization and construction industry development and investigate the critical driving factors influencing their coupling coordination degree. By referring to the existing literature, two index systems were established to evaluate the development level of the new urbanization and construction industry. The spatiotemporal characteristics of the coupled coordinated development of the new urbanization and construction industry in China from 2014 to 2020 were investigated using the coupling coordination model. The Markov chain and geographic detector were adopted to understand the transition probability and driving factors of the coupling coordination degree. The results indicate that the coupling degree of China's new urbanization and construction industry is high, and the two systems exhibit obvious interaction phenomena. However, the construction industry in most provinces lags behind the new urbanization. A positive interactive relationship and coordination mechanism has not been established between the two systems. Furthermore, the  coupling contribution degree of the driving factors from high to low is as follows: market size > labor resource concentration > government investment ability > economic development level > industrial structure > production efficiency > technology level. Accordingly, a driving mechanism including market, policy, economic, and production technology drivers was developed. This study contributes to the existing body of knowledge by providing a set of scientific analysis methods to address the deficiency of coordination mechanism research on new urbanization and the construction industry. The results also provide a theoretical basis for decision makers to develop differentiated sustainable development policies.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-18
      DOI: 10.1108/ECAM-05-2022-0471
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Factors affecting the performance of construction industry during the
           COVID-19 pandemic: a case study in Turkey

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      Authors: Gulden Gumusburun Ayalp, Tülay Çivici
      Abstract: The construction industry is a crucial industry for national development worldwide. Because the construction industry is tied to national and international economic activities, the COVID-19 outbreak has limited construction projects. Therefore, this study investigates the most influential factors regarding COVID-19 and their effects on the construction industry. The potential impacts of COVID-19 on the construction industry were identified through a realistic literature review and interviews with professionals. A questionnaire was distributed via e-mail to architects, civil engineers and contractors who play vital roles during the construction processes. The data were analysed using SPSS 22 and LISREL 8.7 software to quantify the most influential pandemic-related factors faced by the construction industry. Ten influential pandemic factors affecting the construction industry in Turkey were identified. Among them, “increased costs and price escalations due to shortage of raw materials and supply chain disruption” and “challenges with payment and cash flows” were determined as the most influential pandemic factors. This research aims to advance comprehension of pandemic impacts and contributes an incipient assessment framework based on 10 determined pandemic factors. Therefore, contractors, architects and civil engineers may analyse their weaknesses and organise precise priorities so that their firms may remain competitive, thus minimising the adverse impact of COVID-19 and possible forthcoming waves. Few studies have identified the effect of pandemics on the construction industry qualitatively, forcing management to make projections to the current situation. Moreover, no study has provided insights into the influential factors of pandemics using quantitative methods. Therefore, this study comprehensively and quantitatively determines the relevant COVID-19 pandemic factors using exploratory factor analysis (EFA) and utilises confirmatory factor analysis (CFA) and structural equation modelling to present a structural model of how pandemic factors affect the Turkish construction industry.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-18
      DOI: 10.1108/ECAM-10-2021-0890
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Investigation of requisite measures for enhancing sustainable construction
           practices in Indonesia

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      Authors: Heni Fitriani, Saheed Ajayi
      Abstract: This study investigates the requisite measures for enhancing sustainability practices within the Indonesian construction industry based on professional perspectives. This study used quantitative approach for data collection. A survey was conducted, using a questionnaire completed by 482 Indonesian construction professionals as a research instrument, and data were analyzed through reliability and exploratory factor analysis. The findings suggest that for sustainability practices to become widely implemented within the Indonesian construction industry, certain measures are required. These include the need to raise awareness through education, development of standardized benchmarks, and the implementation of appraisal systems by the government, professional bodies, and academic institutions. These approaches are expected to build capacity and enhance the knowledge of sustainability among construction professionals and their clients. In addition, sustainable construction practices could be encouraged through a subsidized green market, which could be finalized supported by the government from financial penalties levied against non-sustainable practices. By implementing the underlying strategies within the Indonesian construction industry, the poor knowledge, awareness, implementation, and motivation for sustainable practices within the Indonesian construction industry could be addressed, thereby reducing the environmental impacts associated with buildings and construction activities.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-18
      DOI: 10.1108/ECAM-11-2021-1051
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Contractor selection for green buildings based on the fuzzy Kano model and
           TOPSIS: a developer satisfaction perspective

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      Authors: Jin Cai, Zhongfu Li, Yudan Dou, Yue Teng, Mengqi Yuan
      Abstract: Contractor selection is critical in green buildings (GBs) since the preferred contractor has the responsibility to achieve construction sustainability as well as relationship sustainability. The developer satisfaction reflecting requirements can boost the cooperative relationship among stakeholders and act as an evaluation scale for the success of GB projects, which needs to be emphasized in the selection process but little involved in the existing research. This study explores improving GB contractor (GBC) selection by integrating developer satisfaction into selection procedures. A systematic framework of GBC selection including twenty-five criteria from literature review and experts survey is firstly constructed. Both tactical and strategic criteria are further classified into Kano categories (must-be, one-dimensional, and attractive categories) using the fuzzy Kano model (FKM), and weighted by the developer satisfaction index. The model proposed by this study combining FKM and TOPSIS divides the selection process into the filtration phase and selection phase by Kano categories. The proposed model is finally verified through performance comparison among multiple methods in a case. Selection criteria are measured linearly and nonlinearly, showing criteria having nonlinear satisfaction change accounts for two-thirds of all. Criteria at tactical level tend to be must-be or one-dimensional categories for the developer, and most strategic criteria are classed as the attractive category, indicating that adding strategic criteria is necessary for long-term cooperation. The proposed model, using developer satisfaction to improve the selection process, ensures the selected GBC to be the most satisfactory with requirements of the developer and makes the performance of GBCs easily distinguishable. This study contributes to the existing body of knowledge for promoting relationship sustainability by supplementing an integrated model with emphasis on developer satisfaction in GBC selection, so as to establish a good initial foundation due to the match between performances of GBCs and needs of developers. It not only helps maximize developer satisfaction in GBC selection by applying satisfaction to pre-construction management, but also instructs GBCs to prioritize performance improvements. The framework is also conducive for developers to classify selection criteria and select other participants (like green suppliers) from the satisfaction perspective in GBs.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-16
      DOI: 10.1108/ECAM-01-2022-0054
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Automatic generation of BIM-based construction schedule: combining an
           ontology constraint rule and a genetic algorithm

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      Authors: Zhijiang Wu, Guofeng Ma
      Abstract: The purpose of this study is to automatically generate a construction schedule by extracting data from the BIM (Building Information Modeling) model and combining an ontology constraint rule and a genetic algorithm (GA). This study developed a feasible multi-phase framework to generate the construction schedule automatically through extracting information from the BIM, utilizing the ontology constraint rule to demonstrate the relationships between all the components and finally using the GA to generate the construction schedule. To present the functionality of the framework, a prototype case is adopted to show the whole procedure, and the results show that the scheme designed in this study can quickly generate the schedule and ensure that it can satisfy the requirements of logical constraints and time parameter constraints. A proper utilization of conceptual framework can contribute to the automatic generation of construction schedules and significantly reduce manual errors in the Architectural, Engineering, and Construction (AEC) industry. Moreover, a scheme of BIM-based ontology and GA for construction schedule generation may reduce additional manual work and improve schedule management performance. The hybrid approach combines the ontology constraint rule and GA proposed in this study, and it is an effective attempt to generate the construction schedule, which provides a direct indicator for the schedule control of the project. In this study, the data application process of the BIM model is divided into four modules: extraction, processing, optimization, and output. The key technologies including secondary development, ontology theory, and GA are introduced to develop a multi-phase framework for the automatic generation of the construction schedule and to realize the schedule prediction under logical constraints and duration interference.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-16
      DOI: 10.1108/ECAM-12-2021-1105
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Development of zero-based budgeting approach for multinational
           construction contractors

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      Authors: Gokhan Kazar, Ugur Mutlu, Onur Behzat Tokdemir
      Abstract: Cost overruns remain a persistent problem in the construction industry. Although various cost management strategies have been implemented, innovative approaches are still required. Therefore, the authors attempted to introduce and test a new cost management strategy for the construction industry. Zero-based budgeting (ZBB) is one such method whose effectiveness has been proven in different industries over many years. Therefore, the authors initially developed two different frameworks related to the integration of ZBB into a multinational construction contractor and the application process of ZBB for a construction project in this study. Then, the effectiveness and feasibility of the proposed frameworks are tested via an actual field study in a mega construction project. The results show savings of 0.81% of the total project budget and 4.74% of the focused cost items by following the ZBB framework compared to the traditionally estimated project budget. The feedback received from the employees in the construction company shows that ZBB could be efficiently implemented during ongoing construction projects. The authors believe that implementing new cost management strategies such as ZBB will open doors to deal with the complex cost overrun issues and improve construction cost performances. This manuscript is the first actual application of the ZBB cost management approach in the construction industry.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-15
      DOI: 10.1108/ECAM-05-2022-0408
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • An association rule mining model for evaluating the potential correlation
           of construction cross operation risk

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      Authors: Qianqian Chen, Zhen Tian, Tian Lei, Shenghan Huang
      Abstract: Cross operation is a common operation method in the building construction process nowadays. Due to the crossover, each other's operations are disturbed, and risks also interact. This superimposed relationship of risks is worthy of attention. The study aims to develop a model for analyzing cross-working risks. This model can quantify the correlation of various risk factors. The concept of cross operation and the cross types involved are clarified. The risk factors were extracted from cross-operation accidents. The association rule mining (ARM) was used to analyze the results of various cross-types accidents. With the help of visualization tools, the intensity distribution and correlation path of the relationship between each factor were obtained. A complete cross-operation risk analysis model was established. The application of ARM method proves that there are obvious risk correlation deviations in different types of cross operations. A high-frequency risk common to all cross operations is on-site safety inspection and process supervision, but the subsequent problems are different. Cutting off the high-lift risk chain timely according to the results obtained by ARM can reduce or eliminate the danger of high-frequency risk factors. This is the first systematic analysis of cross-work risk in the construction. The study determined the priority of risk management. The results contribute to targeted cross-work control to reduce accidents caused by cross-work.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-12
      DOI: 10.1108/ECAM-09-2021-0792
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Assessing the interactive effects of the ethics of construction
           professionals on project performance in the Ghanaian construction industry
           

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      Authors: Ewald Kuoribo, Roland Yomoah, De-Graft Owusu-Manu, Alex Acheampong, David John Edwards, Caleb Debrah
      Abstract: The construction industry is beset with unethical behaviours. Although several studies have investigated the effects of unethical behaviours on project performance, research in the Ghanaian construction industry (GCI) remains scant. Consequently, this research assesses the interactive effects of ethical and unethical behaviours of construction professionals on project performance in the GCI. A quantitative research approach was used to obtain primary data from 68 construction professionals, viz, quantity surveyors, architects, civil engineers, clerk of works and project managers, via a closed-ended questionnaire survey. Data collected were analysed using one-sample t-test and Kruskal–Wallis test statistics, after which two hypotheses were tested and validated using regression analysis. Reduction of project risks, avoidance of legal problems and maximisation project quality performance were critical effects of ethical behaviours observed on project performance, whereas the effects of unethical behaviours such as cost overrun, abandonment and time overrun were severe on project performance in the GCI. Ethical behaviour was seen to relate to project performance positively, and unethical behaviour was proved to have dire consequences on project performance. Construction project performance is greatly influenced by professionals' ethical and unethical behaviours. Emergent findings emanating from this research will assist emerging economies in developing and implementing counter policies and systems that mitigate the unethical behaviours of construction professionals. The study highlights the effects of ethical and unethical behaviours on project performance to reorient individuals' perceptions that unethical behaviours are less critical in the construction industry. Supporting evidence encourages individuals to adhere to ethical behaviours in a project environment. The inability to obtain data across the entire geographical spread of Ghana is acknowledged as a major limitation of the study and affects the generalisation of the results. This study constitutes a first attempt to establish the interactive effects of ethical and unethical behaviours of construction professionals on project performance within the GCI. A significant addition to the body of knowledge is that ethical and unethical behaviours impact project performance positively or negatively, respectively.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-12
      DOI: 10.1108/ECAM-10-2021-0865
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • An overall review of research on prefabricated construction supply chain
           management

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      Authors: Yanhu Han, Xiyu Yan, Poorang Piroozfar
      Abstract: As a strand in industrialization movement in architecture, engineering and construction (AEC) industry, prefabricated construction (PC) has gained widespread popularity due to high efficiency, energy saving, low environmental impacts, safety and other advantages of PC. Well-managed supply chain can further leverage the advantages of PC. However, there is a lack of more systematically overview of the prefabricated construction supply chain (PCSC). This paper aims to comb the current status and look into the future direction of PCSC by reviewing the existing research. In total, 131 articles related to prefabricated construction supply chain management (PCSCM) from 2000 to 2022 have been collated to (1) conduct a bibliometric analysis by using VOSviewer, including the literature sources, keywords co-occurrence, co-authorships, authorship citation and country active in the field of PCSCM; (2) classify and summarize the status of research in PCSCM through qualitative discussion and (3) point out the future research directions. In total, 131 articles are carried out for bibliometric analysis and in-depth qualitative discussion, the visualization maps and the main research themes in the field of PCSCM are obtained. The results show that supply chain intelligentization and informatization are hot topics. Finally, future research directions that should be paid attention to in the field of PCSCM are pointed out. This study can help project managers understand the current status and problems of PCSC operations and provide a basis for future management decisions. Compared with previous studies, this study adds the dimension of “article authorship” to the quantitative analysis and discusses the research themes in the field of PCSCM in a comprehensive manner. In addition, this paper deeply discusses the main research topics from both the specific contents and research methods adopted.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-11
      DOI: 10.1108/ECAM-07-2021-0668
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Interactions among antecedents of project outsourcing strategies:
           evidence from Chinese construction firms

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      Authors: Jingyi Lai, Yongcheng Fu, Yongqiang Chen, Bo Du
      Abstract: Outsourcing is a common practice that is often adopted to reduce costs and enhance capabilities. The underlying logic of a firm's outsourcing strategy is not always evident due to multiple antecedents with interacting effects. This study identifies critical factors that influence outsourcing strategies and reveals their interactions with empirical evidence from Chinese construction firms. The quantitative decision-making trial and evaluation laboratory (DEMATEL) method was applied to analyze the interrelationships among the antecedents of project outsourcing strategies. First, 24 experts from 13 Chinese construction firms were invited to evaluate and score the influence of each factor on the other. Second, the graph theory and matrix tools of DEMATEL were used to quantitatively obtain the causality among factors and the prominence of each factor within the system. Among the antecedents, a firm's pursuit of cost efficiency, identity, technological capability and contracting capability are the most prominent factors influencing project outsourcing strategies. For the interactions among these factors, this study reveals that the focal firm's technological capability significantly influences its contracting capability, and they jointly influence the firm's outsourcing practices, the selection of outsourcing vendors and, eventually, its pursuit of cost efficiency. Moreover, legal restrictions in the institutional environment strongly shape this capability–cost efficiency relationship. Twelve critical factors following different theoretical perspectives at varying levels of analysis were identified from the literature review. By revealing the interrelationships among these factors, this study develops a holistic framework that integrates the transaction cost and capability perspectives for understanding project outsourcing strategies embedded in different institutional environments.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-09
      DOI: 10.1108/ECAM-01-2022-0047
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Integrating knowledge management and BIM for safety risk identification of
           deep foundation pit construction

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      Authors: Dawei Chen, Jianliang Zhou, Pinsheng Duan, Jiaqi Zhang
      Abstract: The outbreak of COVID-19 pandemic has posed severe challenges to infrastructure construction in China. Particularly, the complex technology and high process uncertainty of deep foundation pit construction make its safety risk identification a challenging issue of general concern. To address these challenges, Building Information Modeling (BIM) can be used as an important tool to enhance communication and decision-making among stakeholders during the pandemic. The purpose of this study is to propose a knowledge management and BIM-integrated safety risk identification method for deep foundation pit construction to improve the management efficiency of project participants. This paper proposes a risk identification method that integrates BIM and knowledge management for deep foundation pit construction. In the framework of knowledge management, the topological relationships between objects in BIM are extracted and visualized in the form of knowledge mapping. After that, formal expressions of codes are established to realize the structured processing of specification provisions and special construction requirements. A comprehensive plug-in for deep foundation pit construction is designed based on the BIM software. The proposed method was verified by taking a sub-project in deep foundation pit project construction as an example. The result showed the new method can make full use of the existing specification and special engineering requirements knowledge. In addition, the developed visual BIM plug-in proves the feasibility and applicability of the proposed method, which can help to increase the risk identification efficiency and refinement. The deep foundation pit safety risk identification is challenged by the confusion of deep foundation pit construction safety knowledge and the complexity of the BIM model. By establishing the standardized expression of normative knowledge and special construction requirements, the efficiency and refinement of risk identification are improved while ensuring the comprehensiveness of results. Moreover, the topology-based risk identification method focuses on the project objects and their relations in the way of network, eliminating the problem of low efficiency from the direct BIM-based risk identification method due to massive data.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-09
      DOI: 10.1108/ECAM-10-2021-0934
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Modeling the influence patterns of barriers to electronic procurement
           technology usage in construction projects

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      Authors: Sitsofe Kwame Yevu, Ann Tit Wan Yu, Amos Darko, Gabriel Nani, David J. Edwards
      Abstract: This study aims to investigate the dynamic influences of clustered barriers that hinder electronic procurement technology (EPT) implementation in construction procurement, using the neuro-fuzzy system. A comprehensive literature review was conducted and 21 barriers to EPT implementation within construction projects were identified. Based on an expert survey, 121 datasets were gathered for this study. Using mean and normalization analysis for the datasets, 15 out of the 21 barriers were deemed to have critical influences in EPT barriers phenomenon. Subsequently, the critical barriers were classified into five groups: human-related; technological risk-related; government-related; industry growth-related; and financial-related. The relationships and influence patterns between the groups of barriers to EPT implementation were analyzed using the neuro-fuzzy system. Furthermore, sensitivity analysis was performed to examine the dynamic influence levels of the barriers within the hindrance level composition. The results reveal that addressing one barrier group does not reduce the high levels of hindrances experienced in EPT implementation. However, addressing at least two barrier groups mostly tends to reduce the hindrance levels for EPT implementation. Further, this study revealed that addressing some barrier group pairings, such as technological risk-related and government-related barriers, while other barrier groups remained at a high level, still resulted in high levels of hindrances to EPT implementation in construction procurement. This study provides insights for researchers to help them contribute to the development of theory with contemporary approaches based on the influence patterns of barrier interrelationships. This study provides a model that would help practitioners and decision makers in construction procurement to understand and effectively determine the complex and dynamic influences of barrier groups to EPT uptake, for the development of suitable mitigation strategies. This study provides novel insights into the complex influence patterns among grouped barriers concerning EPT adoption in the construction industry. Researchers and practitioners are equipped with knowledge on the influence patterns of barriers. This knowledge aids the development of effective strategies that mitigate the combined groups of barriers, and promote the wider implementation of EPT in the construction industry.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-08
      DOI: 10.1108/ECAM-01-2021-0013
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Selecting control strategies in projects of intangible outputs: empirical
           evidence from architectural and engineering design projects

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      Authors: Yan Ning, Florence Yean Yng Ling
      Abstract: Project managers rely on control strategies to deliver excellent outputs. However, little is known about how clients' project managers select control strategies in projects which are knowledge-intensive and have intangible outputs. This study aims to examine how clients' project managers select project control strategies in professional service projects. A questionnaire survey of 360 architectural and engineering (A/E) design projects was adopted. Data were analyzed through the hierarchical regression. Both clients' knowledge of measuring outcomes and process uncertainty give rise to their project managers setting up behavior and social controls. Level of process uncertainty positively moderates the impact of client's knowledge of measuring outcomes on outcome control. This study mainly examined the client's knowledge of measuring outcomes and process uncertainties. Future studies could be conducted to expand the scope by including other contextual factors, for instance market and regulatory factors. From the client side, if they want to simultaneously adopt outcome, behavior and social controls, they would need to increase their knowledge of measuring outcomes by adopting established assessment tools or appointing a third party to assist in design outcome evaluation. This study contributes to the body of knowledge by showing that the level of intangibility of project outputs influences the types of control system which project managers adopt.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-05
      DOI: 10.1108/ECAM-02-2019-0116
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • A model-based smart contracts system via blockchain technology to reduce
           delays and conflicts in construction management processes

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      Authors: Abdul Wahab, Jun Wang, Alireza Shojaei, Junfeng Ma
      Abstract: Smart contracts using blockchain technology (BCT) is a tool that decentralizes authority and makes it easier to upgrade the contract administration process by providing an efficient system. Current literature provides a good overview of contracts in the construction industry; however, the specific details of BCT's smart contracts applications in the three categories have not been addressed adequately: (1) information quality, (2) enhancing project schedule and progress payment time and (3) reducing conflicts among project stakeholders. Thus, this study aims to analyze smart contracts using BCT by creating a computerized contract model, specifically evaluating its impact on the three identified categories. In this paper BCT-SmContract was developed through an automated program that utilizes blockchain to define the contractual agreements between different parties in a construction project. BCT-SmContract model provides a new technique to overcome the current challenges associated with factors identified in this study, i.e. (1) information quality, (2) enhancing project schedule and progress payment time and (3) reducing conflicts among project stakeholders. Afterward, the model was tested to ensure validity and reliability through a construction project. The findings indicated that BCT-SmContract was approximately 90% faster to execute the contract and 100% accurate in reflecting the correct information about the project status, resulting in reduced conflicts. This study has contributed in upgrading the traditional contracting method in construction by developing an automated smart contract model to enhance the processes and achieve higher accuracy.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-05
      DOI: 10.1108/ECAM-03-2022-0271
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Understanding adoption of high off-site construction level technologies in
           construction based on the TAM and TTF

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      Authors: Jin Cai, Zhongfu Li, Yudan Dou, Tianxin Li, Mengqi Yuan
      Abstract: Off-site construction (OSC) has been regarded as a clean and efficient production approach to help the construction industry towards sustainability. Different levels of OSC technologies vary greatly in their implementations and adoptions. Compared to low OSC level technologies have been applied widely, the adoption of high OSC level technologies (HOSCLTs) in practice remains limited. The adoption mechanism for HOSCLTs by firms has not been clear, hindering their promotion. This study aims to explore the mechanism combining subjective and objective adoption for HOSCLTs. This study developed an integrated model illustrating mechanism for HOSCLTs adoption based on the technology acceptance model (TAM), which has strong capacity to explain potential adopters' subjective intentions to adoption, and the task-technology fit (TTF) theory, which well describes the linkages between the task, technology and performance in technology adoption. The proposed model was then empirically evaluated through a survey of 232 practitioners in the Chinese OSC industry using partial least squares structural equation modeling. The results indicate that both task characteristics (TAC) and technology characteristics (TEC) positively affect TTF of HOSCLTs. TAC, TTF, firm conditions and stakeholder influence have significant positive effects on perceived usefulness (PU), which further positively influence attitude towards adoption. TEC and firm conditions are significantly related to perceived ease of use (PEU). TTF, PEU and attitude towards adoption are good predictors of behavior intention to HOSCLTs adoption. PEU only significantly influences adoption intention and is not observed to influence attitudes and PU, unlike prior research on common OSC adoption. This study contributes to the body of knowledge by exploring HOSCLTs adoption in the industry based on distinguishing the levels of OSC technologies and supplementing an integrated model for explaining the mechanism with the combination of subjective and objective adoption. The study also provides useful insights into understanding and promoting HOSCLTs adoption for policy makers and stakeholders actively involved in the OSC field.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-05
      DOI: 10.1108/ECAM-05-2022-0439
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • A dynamic calculation model of the carbon footprint in the life cycle
           of hospital building: a case study in China

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      Authors: Jianjin Yue, Wenrui Li, Jian Cheng, Hongxing Xiong, Yu Xue, Xiang Deng, Tinghui Zheng
      Abstract: The calculation of buildings’ carbon footprint (CFP) is an important basis for formulating energy-saving and emission-reduction plans for building. As an important building type, there is currently no model that considers the time factor to accurately calculate the CFP of hospital building throughout their life cycle. This paper aims to establish a CFP calculation model that covers the life cycle of hospital building and considers time factor. On the basis of field and literature research, the basic framework is built using dynamic life cycle assessment (DLCA), and the gray prediction model is used to predict the future value. Finally, a CFP model covering the whole life cycle has been constructed and applied to a hospital building in China. The results applied to the case show that the CO2 emission in the operation stage of the hospital building is much higher than that in other stages, and the total CO2 emission in the dynamic and static analysis operation stage accounts for 83.66% and 79.03%, respectively; the difference of annual average emission of CO2 reached 28.33%. The research results show that DLCA is more accurate than traditional static life cycle assessment (LCA) when measuring long-term objects such as carbon emissions in the whole life cycle of hospital building. This research established a carbon emission calculation model that covers the life cycle of hospital building and considered time factor, which enriches the research on carbon emission of hospital building, a special and extensive public building, and dynamically quantifies the resource consumption of hospital building in the life cycle. This paper provided a certain reference for the green design, energy saving, emission reduction and efficient use of hospital building, obviously, the limitation is that this model is only applicable to hospital building.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-04
      DOI: 10.1108/ECAM-05-2022-0395
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Effect of network position on inter-team conflict and
           project success in megaprojects

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      Authors: Cong Liu, Jiming Cao, Kaifeng Duan, Guangdong Wu
      Abstract: This study investigates the impact of network positions on inter-team conflicts and project success in megaprojects. Network position is measured with centrality and structural holes. Substantive conflict and affective conflict reflect inter-team conflicts. A questionnaire survey was implemented in Chinese megaprojects, and 309 valid questionnaires were collected. The data were analyzed using structural equation modeling and bootstrapping methods. The results show that centrality negatively impacts project success, while the presence of a team in a structural hole has no significant impact on project success. Centrality is negatively related to substantive conflict and is positively related to affective conflict. The team in a structural hole has a positive effect on substantive conflict and a negative effect on affective conflict. Substantive conflict and affective conflict have positive and negative effects on project success, respectively. The effect of network position on project success is mediated by inter-team conflict. This research provides a reference for megaproject managers to better conduct network governance, manage inter-team conflict, and successfully manage projects. The study did not investigate the effects of changes in teams' network positions on project success. Future research should explore this facet of megaprojects. This research adds to existing research on network position, and reveals that project network governance is important for megaproject success. This provides a new direction for megaproject management. Furthermore, the results validate constructive and non-constructive roles and the mediating role of inter-team conflict. This complements the literature on conflict management, providing a reference for megaproject managers when managing inter-team conflict.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-04
      DOI: 10.1108/ECAM-05-2022-0438
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Ranked generic criteria for EPC contractor selection

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      Authors: Nayana Dissanayake, Bo Xia, Martin Skitmore, Bambang Trigunarsyah, Vanessa Menadue
      Abstract: The purpose of this study was to prioritize the appropriate generic contractor selection criteria for Engineering–Procurement–Construction (EPC) projects in the construction industry. Proceeding from a review of previous studies and validation by a small group of experts, a preliminary set of 16 criteria was first identified. This was followed by three rounds of Delphi surveys: firstly, with 64 experienced participants confirming the relevance of the 16 criteria; secondly, with a reduced subgroup of 47 more experienced participants scoring the importance of each; and finally, providing the opportunity for these 47 to revise their scores in the light of knowing the aggregated results of the previous round. The results show the consensus view, of which the most important criteria are ranked as past performance, project understanding, technical attributes, key personnel, health and safety, past experience, time, management, financial, contractual and legal, quality, cost, relationships, environmental and sustainability, organizational and industrial relations, and geographic location. The findings are useful for both practitioners and academics in making a significant contribution to the body of knowledge of the EPC process. This will assist in providing a better understanding of criteria importance and pave the way to developing an EPC contractor selection model involving the criteria most needed to objectively identify potential contractors and evaluate tenders.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-04
      DOI: 10.1108/ECAM-10-2021-0874
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Combining transaction characteristics and governance mechanisms to
           suppress opportunism in construction projects: qualitative comparative
           analysis

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      Authors: Wenqian Guo, Wenxue Lu, Fei Kang
      Abstract: The understanding of how to mitigate opportunism in construction projects is still limited and conflicting. The complexity of causalities and interdependence among antecedents of opportunism (transaction characteristics and governance mechanisms) is the major obstacle to current research. This study takes a holistic perspective to explore the different combinations of conditions that lead to high opportunism and low opportunism in project management. Through 2 phases of the interview and questionnaire survey, the 91 valid survey data were collected from the buyer–seller relationships in construction projects and analyzed by adopting fuzzy-set qualitative comparative analysis. A single transaction characteristic is rarely sufficient to explain opportunism, and combinations of different transaction characteristics and governance mechanisms (performance ambiguity, asset specificity, buyer's requirement certainty, informal control, and formal control) have different effects on opportunism. In the case of extremely unsatisfactory transaction characteristics, even the combination of formal and informal control cannot prevent high opportunism. The combination including low-formal control and high-asset specificity easily leads to high opportunism. Besides, performance ambiguity is a vital factor in mitigating high opportunism or achieving low opportunism. Previous studies have always addressed the role of one or some factors independently and separately. This study is one of the first to explore the different combinations of conditions that result in high opportunism and low opportunism in project management based on transaction costs economics and agency theory.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-08-03
      DOI: 10.1108/ECAM-02-2022-0164
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Evaluation and decision-making framework for concrete surface quality
           based on computer vision and ontology

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      Authors: Ying Tao Chai, Ting-Kwei Wang
      Abstract: Defects in concrete surfaces are inevitably recurring during construction, which needs to be checked and accepted during construction and completion. Traditional manual inspection of surface defects requires inspectors to judge, evaluate and make decisions, which requires sufficient experience and is time-consuming and labor-intensive, and the expertise cannot be effectively preserved and transferred. In addition, the evaluation standards of different inspectors are not identical, which may lead to cause discrepancies in inspection results. Although computer vision can achieve defect recognition, there is a gap between the low-level semantics acquired by computer vision and the high-level semantics that humans understand from images. Therefore, computer vision and ontology are combined to achieve intelligent evaluation and decision-making and to bridge the above gap. Combining ontology and computer vision, this paper establishes an evaluation and decision-making framework for concrete surface quality. By establishing concrete surface quality ontology model and defect identification quantification model, ontology reasoning technology is used to realize concrete surface quality evaluation and decision-making. Computer vision can identify and quantify defects, obtain low-level image semantics, and ontology can structurally express expert knowledge in the field of defects. This proposed framework can automatically identify and quantify defects, and infer the causes, responsibility, severity and repair methods of defects. Through case analysis of various scenarios, the proposed evaluation and decision-making framework is feasible. This paper establishes an evaluation and decision-making framework for concrete surface quality, so as to improve the standardization and intelligence of surface defect inspection and potentially provide reusable knowledge for inspecting concrete surface quality. The research results in this paper can be used to detect the concrete surface quality, reduce the subjectivity of evaluation and improve the inspection efficiency. In addition, the proposed framework enriches the application scenarios of ontology and computer vision, and to a certain extent bridges the gap between the image features extracted by computer vision and the information that people obtain from images.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-22
      DOI: 10.1108/ECAM-01-2022-0064
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Effectiveness of peer support to reduce depression, anxiety and stress
           among migrant construction workers in Singapore

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      Authors: Kavitha Palaniappan, Natarajan Rajaraman, Santu Ghosh
      Abstract: The aim of this study was to determine the effectiveness of promoting peer support to reduce depression, anxiety and stress among migrant construction workers in Singapore. This longitudinal study drew participants from migrant workers of various nationalities in the construction sector in Singapore. Baseline data pertaining to depression, anxiety and stress was established using the DASS-21 questionnaire, and salient covariates such as demographic factors and work environment factors recorded using suitable questionnaires. Intervention was training of participants on peer support techniques, supplemented by episodic support by trained counsellors. At the end of 6 months, DASS-21 was again deployed to obtain the post-results. Comparison of baseline with post-results data was performed to evaluate effectiveness of the peer support intervention. Statistically significant reduction was observed in measures of all the three parameters studied, namely, depression, anxiety and stress. A decrease of 3.3 (95% CI:2.3 to 4.3) points in mean depression score, a decrease of 2.6 (95% CI: 1.6 to 3.7) points in mean anxiety score and a decrease of 2.7 (with 95% CI: 1.6 to 4.0) points in mean stress scores on the DASS-21 scale were recorded. Conclusions: Peer support is effective in improving mental health of migrant workers in the construction sector in Singapore. This intervention should be considered among other measures to improve their welfare. This is the first paper that talks about the mental health of migrant workers pre-COVID and hence would be a strong paper for the future comparative studies for pre-and post-COVID periods. This is the first paper that addresses the benefits of peer-support among migrant workers to improve their mental wellbeing.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-18
      DOI: 10.1108/ECAM-03-2022-0269
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Gaps in megaproject management system literature: a systematic
           overview

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      Authors: Salman Ashkanani, Robert Franzoi
      Abstract: This paper aims to present a structured and comprehensive review of relevant works, collected through a systematic methodology and clustered into nine meaningful categories on megaproject management systems and the current requirements for improved industrial megaprojects. The methodology employed in this paper retrieves relevant works from available online citation indexes that are published in peer-reviewed journals and other reliable sources from 2000 to 2021. It has been observed that the literature on megaproject management is still premature and requires further research to understand better the main gaps and effects of large-scale and typically complex megaprojects. Significant improvements are needed towards covering gaps to address the project management system holistically over the entire project life cycle. There are no clear guidelines for achieving a complete and conclusive project management system and enhancing future megaprojects' management capabilities. This paper provides a clear picture of the existing literature on megaproject management systems, contributing insights for successful megaproject projects. Additionally, the holistic analysis identifies gaps in the body of knowledge, revealing avenues for future research.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-18
      DOI: 10.1108/ECAM-12-2021-1113
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • How resilient safety culture correct unsafe behavior of new generation of
           construction workers: the mediating effects of job crafting and perceived
           work meaningfulness

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      Authors: Guodong Ni, Qi Zhang, Yaqi Fang, Ziyao Zhang, Yaning Qiao, Wenshun Wang, Yongliang Deng
      Abstract: The purpose of this paper is to explore the correction mechanism of resilient safety culture on new generation of construction workers (NGCWs)' unsafe behavior and test the multiple mediation effects of job crafting and perceived work meaningfulness based on the context of Chinese construction industry in order to find a new way to effectively correct the NGCWs' unsafe behavior. A theoretical model of correction mechanism was established based on literature research and theoretical deduction. An empirical study was employed based on confirmatory factor analysis and regression analysis with a sample of 404 NGCWs in China. The results indicated that resilient safety culture can effectively correct NGCWs' unsafe behavior through job crafting and perceived work meaningfulness. Job crafting and perceived work meaningfulness can play independent and serial mediating roles between resilient safety culture and unsafe behavior. Research results only represent a short-term law about the correction mechanism of NGCWs' unsafe behavior based on a questionnaire study from China's construction industry. It is necessary to continue to implement a longitudinal study to test it in a relatively long period in future research. The findings also need to be verified based on the young construction workers in other countries. This study provides a theoretical basis and feasible management reference for construction enterprises in China to correct NGCWs' unsafe behavior from the perspective of resilient safety culture. Furthermore, the construction of resilient safety culture in construction enterprises can help NGCWs better carry out job crafting and perceive the meaning of work. This paper clarifies the correction mechanism of resilient safety culture on unsafe behavior of NGCWs, and further tests the independent mediating roles and a serial mediating role of job crafting and perceived work meaningfulness between resilient safety culture and unsafe behavior, which fills the research gap about the influence mechanism of resilient safety culture on young construction workers' unsafe behavior and enriches the theoretical system of unsafe behavior correction of construction workers.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-15
      DOI: 10.1108/ECAM-04-2022-0325
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Study on the construction workforce management based on lean construction
           in the context of COVID-19

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      Authors: Lixuan Jiang, Hua Zhong, Jianghong Chen, Jiajia Cheng, Shilong Chen, Zili Gong, Zhihui Lun, Jinhua Zhang, Zhenmin Su
      Abstract: The construction industry is facing challenges not only for workers' mobility in the pandemic situation but also for Lean Construction (LC) practise in responding to the high-quality development during the post-pandemic. As such, this paper presents a construction workforce management framework based on LC to manage both the emergency goal in migrant worker management and the long-term goal in labour productivity improvement in China. The framework is created based on the integrated culture and technology strategies of LC. A combination of qualitative and quantitative methods is taken to explore factors influencing the mobility of construction workers and to measure labour productivity improvement. The case study approach is adopted to demonstrate the framework application. For method application, a time-and-motion study and Percent Plan Complete indicator are proposed to offer labour productivity measurements of “resources efficiency” and “flow efficiency”. Moreover, the case study provides an industry level solution for construction workforce management and Lean Construction culture shaping, as well as witnesses the LC culture and technology strategies alignment contributing to LC practise innovation. Compared with previous studies which emphasised solely LC techniques rather than socio-technical system thinking, the proposed integration framework as well as implementation of “Worker's Home” and “Lean Work Package” management models in the COVID-19 pandemic contribute to new extensions of both the fundamental of knowledge and practise in LC.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-14
      DOI: 10.1108/ECAM-10-2021-0948
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • A framework for continuation of digitalization in construction: a PLS-SEM
           approach

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      Authors: Avirag Bajpai, Subhas C. Misra
      Abstract: Indian construction firms are falling behind in the use of digital technology in the workplace, and this study aims to give a framework and assess the role of enablers in the implementation and continuing digitalization of the Indian construction sector. An exploratory qualitative research technique is used in this article, and multiple detailed interviews and surveys are done with professionals from the industry and academia. To conclude the significance and relevance of the different constructs and indicators, the partial least square-structural equation modeling (PLS-SEM) approach is used. Barriers are essential enablers for effective implementation, while success factors are important drivers for the successful continuance of digitalization in the construction sector. However, stakeholders' perceived benefit has a substantial role in both implementation and continuance. In this research paper, the scope of this investigation for a generalized exploratory study is restricted to construction firms within India. Further, a rigorous longitudinal study may also be performed to examine the subjectivity of the responses in order to ensure digital continuation. This study identifies limited manifest indicators. Additional indications, however, may be included based on the other company's resources, structure and geographic location. The study's findings have two implications. In the beginning, it gives a direction to the construction sector by highlighting the framework in which implementation and continuance both should have to be executed, and this is the critical area for the successful continuance of digitalization in construction. Second, the research shows that the digitalization process is similar to the adoption of innovation, in which the deployment and persistent use of the new technology are important for facilitating the transformation. In two respects, the study is distinctive. To begin, this is one of the limited efforts to comprehend digitalization from the Indian perspective. Second, the study reveals that the PLS-SEM approach can be effectively used in the developing subject of the construction digitalization concept.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-13
      DOI: 10.1108/ECAM-03-2022-0230
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Client and contractor perspectives on attributes affecting construction
           quality in a war-affected region

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      Authors: Abdul Habib Zaray, Abid Hasan, Sparsh Johari, Parvez Ahmad Hashmat, Kumar Neeraj Jha
      Abstract: The poor quality of construction work in war-affected regions is a significant issue. The large-scale destruction to the existing infrastructure from the war necessitates cost and time-efficient delivery of construction projects during and post-war to bring normalcy to affected lives and places. Consequently, there is always a tendency to finish construction projects in the shortest possible time on a limited budget without following the proper quality management processes. However, the poor quality of construction projects continues to affect the country's development, growth, credibility, reputation, and public safety for several years after the war. To this end, the present study was conducted to evaluate the significant attributes and factors contributing to the poor quality of construction projects in the war-affected Afghan construction sector. A total of 31 attributes influencing construction project quality were ranked based on 110 completed survey responses collected from Afghan construction professionals. Moreover, independent samples t-test, Spearman's rank correlation test, and exploratory factor analysis were conducted. The study found a moderate consensus between clients and contractors on attributes' rankings. In addition, the independent samples t-test showed statistically significant differences in means values of responses from clients and contractors for eight attributes. Based on factor analysis, 19 important attributes (median value greater than or equal to four) were classified into 4 latent factors – (1) poor-quality assurance and control, (2) unethical practices, (3) design and drawing errors, and (4) knowledge and skills gap. Evaluating the factors affecting the quality of construction projects will help clients, government departments, and construction practitioners improve the construction quality management practices. The findings will also inform the policies and procedures of international aid providers.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-11
      DOI: 10.1108/ECAM-01-2022-0059
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • A structural equation model to assess the effects of strategic and
           project related potential risks on project delivery in Qatar

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      Authors: Murat Gunduz, Abdulla M. Abumoza, Aly Abdelfattah Aly
      Abstract: The aim of this paper is to study the effect of strategic and project related potential risks on project delivery in Qatar. Two objectives have been defined. The first is to identify potential risk indicators (manifest variables) and categorize them (constructs/latent variables) based on a literature review, while the second is to examine and rank the relationships between the indicators and constructs by developing a structural equation model. Twenty-five indicators were identified from the literature review and categorized into five groups. To collect the data, an online questionnaire was distributed in Qatar, and 116 responses were obtained. Structural equation modeling (SEM) was used to examine the model. The model that was developed based on the research hypothesis met goodness-of-fit, reliability and validity requirements. The results showed that all constructs contributed well to the model and that the project parties (PPs) have the highest contribution with an effect weight of 0.209 followed by economic and legal (EL) conditions with an effect weight of 0.205. Site and safety (SS) conditions were third with an effect weight of 0.200 while environmental, natural and technological (ENT) conditions were fourth with an effect weight of 0.1989. The last ranked construct is political and social (PS) conditions with an effect weight of 0.186. Based on the outcome of the SEM, recommendations were provided to industry professionals in Qatar about mitigating the impact of potential risks on construction project. To the authors' best knowledge, this is the first study to quantify the effects of strategic and project related risks on a construction project using SEM, considering the risk management indicators of SS, EL, ENT, PS in Qatar. The study's practical implications are to enlarge the project's risk management plan by considering the strategic and project related risks to enhance the project performance for the cost overrun and delay. The study is intended for construction projects in Qatar, but it can easily be adapted to other parts of the world given the local circumstances.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-11
      DOI: 10.1108/ECAM-04-2022-0343
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • The Optimization of Personnel Localization Management on international
           construction projects: cases study from China enterprises

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      Authors: Yi Wang, Xiaopeng Deng, Hongtao Mao
      Abstract: This paper aims to explore the key risk factors affecting the Personnel Localization Management of international construction projects under the major public emergencies represented by the novel coronavirus pneumonia pandemic (hereinafter COVID-19) and how the public emergency affected the Personnel Localization Management from three levels: staff turnover rate, the number of different personnel, the salary and performance of workers. The paper also helps to enhance the construction enterprises' response capacity of major public emergencies and provides a comprehensive framework of optimization strategies for the Personnel Localization Management of international construction projects (hereinafter projects). The main research method of this paper is the case study, and ten representative international construction projects are selected for case study in China construction enterprises (hereinafter CCE). And this study used the failure mode and effects analysis (FMEA) and comparative analysis to find out all potential risk factors under the COVID-19 and analyze how the epidemic affects the Personnel Localization Management of projects which based on the primary data from 10 projects obtained through in-depth interviews and the secondary data from China First Metallurgical Group and Central South Construction Group's Overseas Enterprise. The findings show that the outbreak of the major public emergencies not only greatly increased eight risk factors but also directly led to an increase in staff turnover rate. Meanwhile, the numbers of Chinese and local managers and workers are all affected, and an increase in the number and the salary performance of local workers can be reduced, to a certain extent, to the cost-to-output ratio of the projects. The findings would help construction enterprises better cope with Personnel Localization Management and enhance the response capacity of major public emergencies. This study will broaden researchers' horizons regarding “Personnel Localization Management under major public emergencies” and “risk factors of Personnel Localization Management in an international context.” Furthermore, construction enterprises looking for a better mechanism of Personnel Localization Management can benefit from research findings and lessons learned from the authors' case study during or before an outbreak of major public emergency. Lastly, the framework of optimization strategies for Personnel Localization Management can be used both for research purposes and practice issues in international construction projects. The findings from the authors' case study offer the direction for international construction enterprises in China and other countries to formulate effective measures, strengthen overseas business and establish a crisis management mechanism for Personnel Localization Management under major public emergencies, and the findings provide emergency plans for projects to improve the public crisis handling capacity and respond to major public emergencies such as the COVID-19. This study analyzes the impact of the COVID-19 on the Personnel Localization Management of international construction projects from the perspective of personnel. This study provides a theoretical reference for the international construction industry to actively respond to major public emergencies. Besides, the research is conducive to improving the emergency response mechanism in the construction industry, and further promoting the high-quality and globalized development of international construction. This study provides other researchers with a comprehensive understanding of the risk factors affecting the Personnel Localization Management of projects under the COVID-19 and insight for further research on localization management, risk management, and project management.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-11
      DOI: 10.1108/ECAM-10-2021-0957
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Paving the way for industry 4.0 maturity of construction enterprises: a
           state of the art review

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      Authors: Priyadarshini Das, Srinath Perera, Sepani Senaratne, Robert Osei-Kyei
      Abstract: Industry 4.0 is characterised by the exponential pace of technological innovations compelling organisations to transform or be displaced. Industry 4.0 transformation of construction enterprises lacks systematic guidance and notable earlier studies have utilised maturity models to map transformation of enterprises. This paper proposes a conceptual maturity model for construction enterprises for business scenarios leading to Industry 4.0. The requirements for designing maturity models, including comparison with existing models and scientifically documenting the design process, make Systematic Literature Reviews (SLR) appropriate. Two systematic literature reviews (SLRs) are conducted to shortlist a total of 95 papers, which are subjected to subsequent content analysis. The first SLR identifies the following process categories as critical levers of industry 4.0 maturity; data management, people and culture, leadership and strategy, collaboration and communication, automation, innovation and change management. The second SLR ascertains that the existing maturity models in construction literature do not adequately correspond to Industry 4.0 business scenarios with limited emphasis on data management, automation, change management and innovation. The findings are assimilated to propose a conceptual Smart Modern Construction Enterprise Maturity Model (SMCeMM). The paper systematises the transformation of construction enterprises in Industry 4.0 and leads to state-of-the-art development of Industry 4.0 and maturity model research in construction. The proposed conceptual model addressed both the demands of the construction industry as well as what is required to navigate Industry 4.0 better.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-11
      DOI: 10.1108/ECAM-11-2021-1001
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Effect of commitment on the link between organizational culture
           and international project performance: a comparison between China and
           Korea

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      Authors: Yi-Hsin Lin, Wenqing Han, Chan Joong Kim, Li Jiang, Nini Xia
      Abstract: The purpose of this paper is to verify the mediating role of commitment between market-oriented organizational culture and international market performance, and to discuss the moderator effect of national institutional environment on this mediating role. The research design follows a mixed methodology, combining qualitative and quantitative data collection and analysis. In the first phase, research hypotheses are proposed based on a literature analysis. In the second phase, sample data are collected through interviews and questionnaires sent to domestic contractors in China and South Korea, and a validity analysis of the results is carried out. Correlation and regression analyses are then performed on the valid data to verify hypotheses to prove the existence and influence of mediating effects. Hayes PROCESS Macro is used on the regression results to test the mediating effect of commitment on international project performance and the moderation effect of institutional environment. The results reveal that the commitment between partners has a mediating effect on the relationship between market culture and international project performance; however, no hierarchy culture is revealed. The mediating effect of commitment is regulated by the institutional environment. Although the reliability and validity of the questionnaire data in this study are in line with research standards, a larger sample size would improve the reliability of the results. Further, the interviewed samples are mainly from China and South Korea; large representative samples from additional countries, such as Japan, should be considered to gain a fuller understanding and more comprehensive results. By emphasizing the differences between the two institutional environments of developing and developed countries in East Asia, a theoretical and empirical basis is provided. International construction enterprises in other countries can apply the findings to improve their international market performance in different institutional environments. The findings also provide an empirical reference that international construction enterprises in China and South Korea may use to adjust their organizational cultures and commitments to improve market performance.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-11
      DOI: 10.1108/ECAM-12-2021-1116
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Public procurement of engineering services: the influence of task
           characteristics on organisational control

         This is an Open Access Article Open Access Article

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      Authors: Klara Granheimer, Tina Karrbom Gustavsson, Per Erik Eriksson
      Abstract: Prior research has emphasised the importance of the early phases of construction projects, as well as the difficulties of procuring engineering services – especially due to the uncertainties. Despite that, studies on the public procurement of engineering services are scarce. Although scholars have shown that uncertainty may affect the choice of control modes, the level of uncertainty that characterises services is not addressed by the two task characteristics: knowledge of the transformation process and output measurability. The purpose is to investigate organisational control in public procurement of engineering services. The existing control model was adjusted in this study by conceptually adding uncertainty as a third aspect to the two task characteristics. A single case study of the Swedish Transport Administration was used. The empirical data, comprising 14 interviews with managers from the client and engineering consulting companies, were analysed using flexible pattern matching and visual mapping approaches and then illustrated using the model. The public client did not base its choice of control modes on uncertainty, but rather on the other two task characteristics. Consequently, the service providers argued that the chosen control modes reduced their creativity, increased their financial risks and caused unclear responsibilities. This study therefore shows that uncertainty is an important factor to consider in the choice of control modes, both from a theoretical perspective and from the service providers' point of view. The developed model may therefore be useful for researchers as well as practitioners. This study is the first attempt to add uncertainty as a task characteristic when choosing control modes. The results contribute to the scarce control literature regarding the procurement of engineering services for construction projects and the procurement of other services with high uncertainty.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-06
      DOI: 10.1108/ECAM-01-2022-0055
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Dynamic network analysis of stakeholderassociated social risks of
           megaprojects: a case study in China

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      Authors: Xin Xia, Pengcheng Xiang
      Abstract: Managers of megaprojects face social risk management challenges throughout the various design, construction, and operation stages, owing to the various conflicts of interest among stakeholders, public skepticism, and opposition. However, most existing studies have not focused on the dynamic analysis of integrating social risks in these stages. This study developed a dynamic analysis approach to explore the dynamics of critical social risk factors and related stakeholders of megaprojects and built the managerial maps for various stakeholders. Based on the social analysis network (SNA), a dynamic network analysis approach for understanding the dynamics of social risk and related stakeholders has been developed by literature and case analysis. The approach comprises the following steps: (1) generating social risk–stakeholder networks in different stages; (2) analysis of the critical stakeholders and social risk factors; (3) dynamic analysis of social risk factors; and (4) developing social risk management maps for various stakeholders. To verify the feasibility and effectiveness of the approach, 40 megaprojects from China were analyzed. According to the results, the local government is a critical stakeholder during all stages, inadequate information promotion (IIP) and imperfect communication and coordination mechanism (ICCM) are key social risk sources throughout the megaproject life cycle. Furthermore, the management maps for government organizations, project implementation groups, and external stakeholders were constructed. This research has three contributions. First, a dynamic analysis approach of stakeholder-associated social risks in megaprojects is developed, which enriches the social risk management theory of megaprojects and provides inspiration for future research focus. Second, the social risk–stakeholder networks and critical social risks in different stages are confirmed to provide a more valid and accurate picture of social risk management in megaprojects. Third, the social risk managerial maps for different stakeholders built in this research will be beneficial for governments, project implementation groups, and external stakeholders to optimize management strategies.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-06
      DOI: 10.1108/ECAM-02-2022-0161
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Analysis on risk factors related delay in PCPs

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      Authors: Ying Zhao, Wei Chen, Zhuzhang Yang, Zongliang Li, Yong Wang
      Abstract: Risk factors related delay hinder the schedule performance of most construction projects in the world. It is a critical challenge to realize the advantages of prefabricated construction projects (PCPs) under the negative effect of schedule delay. This paper aims to propose an exhaustive list of risk factors impeding the progress of PCPs and evaluate the collected risk factors based on the cause–effect relations. The ultimate goal is to improve the understanding of the complex relations among various risk factors related delay in PCPs, and also offer managers a reference on aspect of schedule risk management. This paper proposes a hybrid method of GT–DEMATEL–ISM, that is combing grounded theory, DEMATEL (decision-making trial and evaluation laboratory) and ISM (Interpretative Structural Modeling), to collect, evaluate and structure risk factors related delay for PCPs. The research procedure of this methodology is divided into three stages systematically involving qualitative and quantitative analysis. In the first stage, GT is utilized to implement qualitative analysis to collect the risk factors leading to schedule delay in PCPs. While, the quantitative analysis is to analyze and evaluate the collected risk factors based on the cause–effect relations in the next two stages evaluation by the DEMATEL focuses on quantifying the priority and intensity of the relations between factors. Additionally, ISM is employed to construct the hierarchical structure and graphically represent the pairwise relations between factors. The outcome of qualitative investigation by grounded theory proposes a theoretical framework of risk factors related delay for PCPs. The framework contains three levels of category, namely, core category, main category and initial category and provides a list of risk factors related delay. Following this finding, evaluation results by the DEMATEL classify factors into cause and effect groups and determine 11 critical delay risk factors. Meanwhile, the findings show that risks referring to organizational management issue foremost impact the progress of PCPs. Furthermore, a systemic multilevel hierarchical structure model is visually constructed by ISM to present the pairwise linkages of critical factors. The model provides the risk transmission chains to map the spread path of delay impact in the system. The contribution of the study involves twofold issues. Methodologically, this research proposes a hybrid method GT–DEMATEL–ISM used to identify and analyze factors for a complex system. It is also applicable to other fields facing similar problems that require collecting, evaluating and structuring certain elements as a whole in a comprehensive perspective. The theoretical contribution is to fill the relevant research gap of the existing body of knowledge. To the best knowledge of the authors, this paper is the first attempt to integrate qualitative and quantitative research for risk analysis related delay and take the insight into the whole process of PCPs covering off-site manufacture and on-site construction. Furthermore, the analysis of findings provided both a micro view focusing on individual risk factor and a managerial view from a systematic level. The findings also contribute the effective information to improve the risk management related schedule delay in PCPs.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-04
      DOI: 10.1108/ECAM-12-2021-1119
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • How A/E/C professionals accept BIM technologies in China: a technology
           acceptance model perspective

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      Authors: Yiwei Zhao, Yindong Sun, Qianqian Zhou, Caiyun Cui, Yong Liu
      Abstract: The aim of this paper is to research the acceptance mechanism of building information modeling (BIM) technology and to explore the differences among Architecture/Engineering/Construction (A/E/C) professionals with different individual characteristics. The proposed acceptance mechanism of BIM technology is intended to be used by industry stakeholders to propose decisions and measures, and improve the degree of BIM adoption. Traditional hypothesis testing is adopted by the current study to empirically research the specific mechanism of A/E/C professionals accepting BIM technologies. In the one phase, a conceptual model based on technology acceptance model (TAM) and technology organization environment (TOE) theory was established and a large-scale questionnaire survey was conducted. In the other phase, structural equation modeling (SEM) was used to analyze acquired sample data, so as to empirically test the validity of the proposed linkage. The results show first that perceived ease of use has no significant influence on perceived usefulness, and perceived usefulness has no significant effect on behavior intention as well. Second, BIM technical features and government BIM policies have positive effects on perceived usefulness, BIM technical features and organization supports have positive effects on perceived ease of use. Third, the BIM acceptance mechanism of A/E/C professionals is diverse from respondents with different characteristics, e.g. regions and working time. The authors highlight the large sample size, as well as the nationwide context, of the questionnaire survey. Meanwhile, acceptance differences among A/E/C professionals with different demographic characteristics have been clarified using profound data and t-test. The findings of this study enrich the research on the acceptance mechanism of BIM technology, and contribute to relevant stakeholders taking targeted measures to promote the effective application of BIM technology nationwide.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-01
      DOI: 10.1108/ECAM-04-2022-0308
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Location optimization of emergency medical facilities for public health
           emergencies in megacities based on genetic algorithm

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      Authors: Jingkuang Liu, Yuqing Li, Ying Li, Chen Zibo, Xiaotong Lian, Yingyi Zhang
      Abstract: The purpose of this study is to discuss the principles and factors that influence the site selection of emergency medical facilities for public health emergencies. This paper discusses the selection of the best facilities from the available facilities, proposes the capacity of new facilities, presents a logistic regression model and establishes a site selection model for emergency medical facilities for public health emergencies in megacities. Using Guangzhou City as the research object, seven alternative facility points and the points' capacities were preset. Nine demand points were determined, and two facility locations were selected using genetic algorithms (GAs) in MATLAB for programing simulation and operational analysis. Comparing the results of the improved GA, the results show that the improved model has fewer evolutionary generations and a faster operation speed, and that the model outperforms the traditional P-center model. The GA provides a theoretical foundation for determining the construction location of emergency medical facilities in megacities in the event of a public health emergency. First, in this case study, there is no scientific assessment of the establishment of the capacity of the facility point, but that is a subjective method based on the assumption of the capacity of the surrounding existing hospitals. Second, because this is a theoretical analysis, the model developed in this study does not consider the actual driving speed and driving distance, but the speed of the unified average driving distance and the driving distance to take the average of multiple distances. The results show that the method increases the selection space of decision-makers, provides them with stable technical support, helps them quickly determine the location of emergency medical facilities to respond to disaster relief work and provides better action plans for decision makers. The results show that the algorithm performs well, which verifies the applicability of this model. When the solution results of the improved GA are compared, the results show that the improved model has fewer evolutionary generations, faster operation speed and better model than the intermediate model GA. This model can more successfully find the optimal location decision scheme, making that more suitable for the location problem of megacities in the case of public health emergencies. The research findings provide a theoretical and decision-making basis for the location of government emergency medical facilities, as well as guidance for enterprises constructing emergency medical facilities.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-07-01
      DOI: 10.1108/ECAM-07-2021-0637
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • A data model for integrating BIM and blockchain to enable a single source
           of truth for the construction supply chain data delivery

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      Authors: Amer A. Hijazi, Srinath Perera, Rodrigo N. Calheiros, Ali Alashwal
      Abstract: Despite a large amount of BIM data at the handover stage, it is still difficult to identify and effectively isolate valuable construction supply chain (CSC) data that need to be reliably handed over for operation. Moreover, the role of reconciling disparate data is usually played by one party. The integration of blockchain and BIM is a plausible framework for building a reliable digital asset lifecycle. This paper proposes a BIM single source of truth (BIMSSoT) data model using blockchain for ensuring a reliable CSC data delivery. This paper utilises a blended methodology, the foundation of which is ingrained in business and management research with elements of information and communication technology (ICT) research wherever required. Knowledge elicitation case studies utilising novel interventions such as a data flow diagram (DFD), taxonomy and entity-relationship diagram (ERD) were used in this paper to develop the BIMSSoT data model. The model was validated using an expert forum, and its technological feasibility was established by developing a proof of concept. The practical contribution of this research leads to the progression of BIM towards digital engineering to go beyond object-based 3D modelling by building structured and reliable datasets, transitioning from project-centric records to a digital ecosystem of linked databases by utilizing blockchain's potential for ensuring trusted data. To the best of the author's knowledge, prior to this paper, no research had investigated a detailed data model development leveraging blockchain and BIM to integrate an immutable and complete record of CSC data as another dimension of BIM for operations.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-30
      DOI: 10.1108/ECAM-03-2022-0209
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Factors affecting organizational resilience in megaprojects:
           a leader–employee perspective

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      Authors: Dedong Wang, Xiaoru Zhao, Kangning Zhang
      Abstract: The increasingly uncertain and unstable factors in the internal and external environments of megaprojects lead to more potential crises and challenges, hence increasing the importance of improving organizational resilience. This study aimed to explore the effects of transformational leadership and employee self-efficacy on organizational resilience from a leader–employee perspective. By combining the perspectives of leaders and employees, this study constructed a development mechanism of the organizational resilience of megaprojects. Organizational climate and organizational learning were selected as two organizational resources to study the mediating roles of leaders and employees. A partial least-squares structural equation model was used to test the hypotheses based on data collected from 243 respondents. Results show that transformational leadership and employee self-efficacy positively affect organizational resilience and organizational resources. Organizational learning positively mediates the effects of leader–employee factors on organizational resilience, whereas organizational climate does not. This study verifies the positive role of transformational leadership and employee self-efficacy in organizational resilience and reveals the development mechanism of using organizational resources to build organizational resilience. This paper enlightens project managers and employees on how to well respond to the uncertainty and complexity of megaprojects.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-28
      DOI: 10.1108/ECAM-01-2022-0049
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Relationship networks between variation orders and claims/disputes causes
           on construction project performance and stakeholder performance

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      Authors: Sy Tien Do, Viet Thanh Nguyen, Nghia Hoai Nguyen
      Abstract: This study aims to examine the mutual influence of causes of variation orders (VOs), claims/disputes (CDs) on project performance (PP) and stakeholder performance (SP). Firstly, this study identifies the VOs, the CDs, criteria for measuring the PP and criteria for measuring the SP. Then, a survey questionnaire is created to collect data from stakeholders in construction projects. Using the factor analysis method, this study discovers the constructs of the VOs, CDs, PP and SP. The relationships among the constructs are then uncovered using a structural equation model. The research findings confirm that the VOs and CDs have a direct effect on the PP, as well as the PP’s effect on SP, whereas the VOs and CDs have no effect on the SP. It is strongly recommended that critical factors such as poor management, construction method change, design/scope problems, uncontrollable objective problems, impediment problems, lack of commitment among parties and lack of experience and competence of parties should be given special attention to improve the SP. The results of the study fill the gap in knowledge by examining the mutual influence of the VOs, the CDs, the PP and the SP. Discovering the mutual influence will assist managers in improving the PP and the SP.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-28
      DOI: 10.1108/ECAM-01-2022-0066
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Project control system (PCS) implementation in engineering and
           construction projects: an empirical study in Saudi’s petroleum and
           chemical industry

         This is an Open Access Article Open Access Article

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      Authors: Sahar Jawad, Ann Ledwith, Rashid Khan
      Abstract: There is growing recognition that effective project control systems (PCS) are critical to the success of projects. The relationship between the individual elements of PCS and successfully achieving project objectives has yet to be explored. This research investigates the enablers and barriers that influence the elements of PCS success and drive project objectives. This study adopts a mixed approach of descriptive analysis and regression models to explore the impact of six PCS elements on project outcomes. Petroleum and chemical projects in Saudi Arabia were selected as a case study to validate the research model. Data from a survey of 400 project managers in Saudi’s petroleum and chemical industry reveal that successful PCS are the key to achieving all project outcomes, but they are particularly critical for meeting project cost objectives. Project Governance was identified as the most important of the six PCS elements for meeting project objectives. A lack of standard processes emerged as the most significant barrier to achieving effective project governance, while having skilled and experienced project team members was the most significant enabler for implementing earned value. The study offers a direction for implementing and developing PCS as a strategic tool and focuses on the PCS elements that can improve project outcomes. This research contributes to project management knowledge and differs from previous attempts in two ways. Firstly, it investigates the elements of PCS that are critical to achieving project scope, schedule and cost objectives; secondly, enablers and barriers of PCS success are examined to see how they influence each element independently.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-28
      DOI: 10.1108/ECAM-02-2022-0114
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Multi-criteria analysis of barriers to building information modeling (BIM)
           adoption for SMEs in New Zealand construction industry

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      Authors: Andrew Thomas Hall, Serdar Durdyev, Kerim Koc, Omer Ekmekcioglu, Laura Tupenaite
      Abstract: Building information modeling (BIM) is a prominent concept to digitalize data collection and analysis processes. Small and medium-sized enterprises (SMEs) account for a considerable percentage of the works performed in the construction industry. The adoption rate of BIM by SMEs is still, however, not at the desired level in the New Zealand construction industry. This study aims to evaluate barriers to BIM implementation for SMEs in the New Zealand construction industry. This study adopted four-step methodology to evaluate barriers to BIM adoption for SMEs. First, a comprehensive literature review, followed by a focus group discussion was performed to identify barriers to BIM adoption. Then, analytical hierarchy process (AHP) was used to assess identified barriers. Finally, experts’ agreements (both internal and external) were ensured by consistency analysis and Kendall’s coefficient of concordance (Kendall’s W) tests. The findings indicate that (1) interoperability between software platforms, (2) lack of government mandate on BIM usage at project level, (3) high cost of acquiring the software and licensing required to use BIM and (4) lack of client demand for adopting BIM were the most significant barriers in terms of technological, governmental, resource and cultural categories, respectively. Further investigation of the expert evaluation showed strong consistencies (each expert separately) and agreements (among experts) in each AHP matrix. Primary focus should be training of local market (particularly SMEs) professionals as the shortage in qualified professionals makes the country-wide adoption challenging. The publicity in the local market can help SMEs understand how BIM is leveraged for further improvements in project performance. Overall, this research not only provides a roadmap for the widespread adoption of BIM within SMEs in New Zealand through analysis of the barriers encountered but also highlights the power that policymakers hold over the mass adoption of BIM within SMEs.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-28
      DOI: 10.1108/ECAM-03-2022-0215
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Towards expediting the implementation of sustainable and successful lean
           

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      Authors: Gholamreza Dehdasht, M. Salim Ferwati, Saeed Reza Mohandes, Luai El-Sabek, David John Edwards
      Abstract: Proper identification of the key motivating factors (or key drivers) is needed to ensure successful adaption and implementation of the lean concept for construction projects. However, there lacks a study investigating the complex interrelationships existing among the key drivers contributing to Sustainable and Successful Lean Construction (SSLC) implementation for such projects. To address this shortcoming, this study aims to uncover the main critical key drivers towards the implementation of SSLC for the very first time by capturing the complexity of this vexing problem. In this study, a new hybrid framework is developed through the integration of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Social Network Analysis (SNA). The novel developed framework is called the DSNA approach. Considering the case of Malaysian construction projects, the developed DSNA gives the following major outcomes: (1) Most important critical key drivers are seen to be optimization, continuous improvement, and, improve company culture, and (2) For SSLC adoption, the critical drivers impacting other key drivers are seen to be “improve teamwork”, “reduce leadership conflict”, and “improve company culture”, thereby demanding more attention. The outcomes of this study give insight for decisions and policymakers in the construction industry regarding critical key drivers and their complex interrelationships towards the further adoption of SSLC, promoting the sustainability paradigm within the respective sector. This paper not only presents a list of critical drivers and the corresponding association among them towards SSLC adoption, but also proposes DSNA as a novel approach for uncovering the complex interrelationship existing in an intricate problem, improving the intricate process of decision-making.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-27
      DOI: 10.1108/ECAM-02-2022-0121
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Identifying the Contractor’s core competencies in post-COVID-19
           scenario: developing a survey instrument

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      Authors: Shumank Deep, Rajesh Joshi, Sanjay Patil
      Abstract: Construction industry is one of the worst affected sectors due to the impact of the current coronavirus disease 2019 (COVID-19) outbreak. Therefore, the purpose of this study was to identify the key competencies that should be demonstrated by the contractors in the post-COVID-19 scenario to make them resilient to the adverse impact of pandemic outbreaks. A survey instrument was developed using an extensive literature review and was tested using a pilot study. It was then administered online using survey monkey to 900 respondents, out of which 324 complete responses were obtained. The data analysis was performed using exploratory factor analysis and second-order confirmatory factor analysis. After analyzing the data, it was identified that the most critical competence was managing site safety (standard factor loading (SFL) = 0.91), followed by leadership skills (SFL = 0.88), technical competence (SFL = 0.81), managing supply chain disruption (SFL = 0.73) and financial stability (SFL = 0.48) that were found to be less essential from the respondents’ point of view. The study is first of its kind to identify the core competencies that should be demonstrated by the contractors to cope with COVID-19-induced disruptions. The findings of this article can be used by the practitioners to develop policies and procedures for selection of contractors.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-27
      DOI: 10.1108/ECAM-02-2022-0128
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Assessing the impact of peripheral vision on construction site safety

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      Authors: Isik Ates Kiral, Sevilay Demirkesen
      Abstract: This study aims to observe the impact of peripheral vision on construction safety. The study further intends to create awareness of eye diseases in construction safety, an important root cause for most construction-related hazards and accidents. This study focuses on the impact of peripheral vision in terms of construction site safety. Experiments were conducted with construction employees with different qualifications, ages, expertise and previous safety training experience. The experiments were conducted with an experiment set consisting of a tangent screen to measure the peripheral angle of the participants. The study measured peripheral vision, which helped determine the vision field accordingly. In this context, a total of 32 participants were investigated in terms of their peripheral visual angle and the field of vision. The data collected were analyzed in terms of several statistical tests such as One-Sample t-test, multivariate ANOVA and multiple linear regression. The results of the study indicated that there are significant differences in peripheral vision in terms of age of participants, work qualification, work experience, area of expertise and previous safety training experience. The study further revealed that most of the participants failed to satisfy both OSHA requirements about peripheral vision, and normal limits defined in the previous literature. The study further implies that participants, who reported previous sight problems or eye diseases are more vulnerable to construction site accidents. Construction site safety remains a major concern for most construction companies despite the latest developments in technology. Several companies are struggling with poor safety performance, occupational injuries and illnesses, and work-related accidents resulting in fatalities. However, the root causes behind several construction accidents are still vague due to different dynamics in the construction industry. Among these root causes, poor sight, vision and or eye diseases constitute an important part. Hence, the study provides empirical evidence with the workers checked for eye health to help policymakers and industry practitioners in terms of developing awareness for eye-related injuries and accidents and review their safety programs accordingly.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-24
      DOI: 10.1108/ECAM-01-2022-0061
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Prediction of construction accident outcomes based on an imbalanced
           dataset through integrated resampling techniques and machine learning
           methods

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      Authors: Kerim Koc, Ömer Ekmekcioğlu, Asli Pelin Gurgun
      Abstract: Central to the entire discipline of construction safety management is the concept of construction accidents. Although distinctive progress has been made in safety management applications over the last decades, construction industry still accounts for a considerable percentage of all workplace fatalities across the world. This study aims to predict occupational accident outcomes based on national data using machine learning (ML) methods coupled with several resampling strategies. Occupational accident dataset recorded in Turkey was collected. To deal with the class imbalance issue between the number of nonfatal and fatal accidents, the dataset was pre-processed with random under-sampling (RUS), random over-sampling (ROS) and synthetic minority over-sampling technique (SMOTE). In addition, random forest (RF), Naïve Bayes (NB), K-Nearest neighbor (KNN) and artificial neural networks (ANNs) were employed as ML methods to predict accident outcomes. The results highlighted that the RF outperformed other methods when the dataset was preprocessed with RUS. The permutation importance results obtained through the RF exhibited that the number of past accidents in the company, worker's age, material used, number of workers in the company, accident year, and time of the accident were the most significant attributes. The proposed framework can be used in construction sites on a monthly-basis to detect workers who have a high probability to experience fatal accidents, which can be a valuable decision-making input for safety professionals to reduce the number of fatal accidents. Practitioners and occupational health and safety (OHS) departments of construction firms can focus on the most important attributes identified by analysis results to enhance the workers' quality of life and well-being. The literature on accident outcome predictions is limited in terms of dealing with imbalanced dataset through integrated resampling techniques and ML methods in the construction safety domain. A novel utilization plan was proposed and enhanced by the analysis results.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-23
      DOI: 10.1108/ECAM-04-2022-0305
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Barriers to adopting integrated project delivery practices

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      Authors: Qiuwen Ma, Shan Li, Pei Xin Teo, Florence Yean Yng Ling
      Abstract: Compared with traditional approaches, integrated project delivery (IPD) improves project performance by enhancing integration. To adopt IPD, however, existing practices need to be changed, which creates barriers to implementation. This study aims to identify the barriers to IPD practices in China and Singapore, whose practitioners show different types and levels of integration experience. A questionnaire survey was administered to two groups of respondents: Chinese and Singaporean. The data were analyzed using three nonparametric techniques, including Wilcoxon signed-rank test, Mann-Whitney-Wilcoxon test, and Spearman rank correlation. (1) Of 39 possible barriers, 36 were consistently felt by both Chinese and Singaporean practitioners with different backgrounds; (2) The Chinese group perceived more issues to be significant barriers than the Singaporean group; (3) The Singaporean group had more experience than the Chinese group in performing integration in five areas. This lessens some barriers to adopting IPD practices. This study is important because it uncovers barriers to the effective implementation of IPD and shows the importance of certain types and levels of integration experience in overcoming these barriers. The results will be useful to practitioners planning to adopt IPD in China or Singapore.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-23
      DOI: 10.1108/ECAM-09-2019-0498
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Evaluating uncertainties to deliver enhanced service performance
           in education PPPs: a hierarchical reliability framework

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      Authors: Linna Geng, Nilupa Herath, Felix Kin Peng Hui, Xuemei Liu, Colin Duffield, Lihai Zhang
      Abstract: This study aims to develop a hierarchical reliability framework to evaluate the service delivery performance of education public–private partnerships (PPPs) effectively and efficiently during long-term operations. The research design included development and test phases. In the development phase, three performance layers, i.e. indicator, component and system, in the education service delivery system were identified. Then, service component reliability was computed through first order reliability method (FORM). Finally, the reliability of the service system was obtained using dynamic component weightings. A PPP school example in Australia was set up in the test phase, where performance indicators were collected from relevant contract documents and performance data were simulated under three assumptive scenarios. The example in the test phase yielded good results for the developed framework in evaluating uncertainties of service delivery performance for education PPPs. Potentially underperforming services from the component to the system level at dynamic timepoints were identified, and effective preventative maintenance strategies were developed. This research enriches reliability theory and performance evaluation research on education PPPs. First, a series of performance evaluation indicators are constructed for assessing the performance of the service delivery of the education PPP operations. Then, a reliability-based framework for service components and system is developed to predict service performance of the PPP school operations with consideration of a range of uncertainties during project delivery. The developed framework was illustrated with a real-world case study. It demonstrates that the developed reliability-based framework could potentially provide the practitioners of the public sector with a basis for developing effective preventative maintenance strategies with the aim of prolonging the service life of the PPP schools. Evaluating education PPPs is challenging as it involves long-term measurement of various service components under uncertainty. The developed reliability-based framework is a valuable tool to ensure that reliability is maintained throughout the service life of education PPPs in the presence of uncertainty.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-20
      DOI: 10.1108/ECAM-10-2021-0896
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • A meta-network-based management framework for megaproject social
           responsibility behaviour in China

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      Authors: Linlin Xie, Tianhao Ju, Ting Han, Lei Hou
      Abstract: As megaprojects bear extensive and profound social responsibilities throughout the project life cycle, formulating effective measures for improving construction enterprise social responsibility is key to project success. Given the current research is relatively lack of these measures, this study aims to formulate a meta-network framework to improve the megaproject social responsibility behaviour (MSRB) for construction enterprises. First, this study implements literature review, expert interview and field investigation to identify the construction enterprise MSRB and its influencing factors. Second, this study evaluates the MSRB implementation level of the selected construction enterprises and proposes the above mentioned meta-network framework. Next, this meta-network is configured to reflect the impact of MSRB strategic adjustment. Last but not least, a real-world case study is carried out to validate this framework. The best MSRB performance is always witnessed from the contractor group, followed by the project client group and the site supervisor group. The outcomes of implementing certain managerial strategies indicate that (1) social responsibility cognition is a critical factor for all the groups; (2) communication mechanism and normative pressure are the critical factors for clients; (3) coercive pressure is a critical factor for supervisors and (4) cultural cognitive pressure is a critical factor for clients and contractors. The use of the framework in proactive assessment and management of MSRB can lead to effective strategies for construction enterprises to increase the efficiency and quality of projects.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-20
      DOI: 10.1108/ECAM-11-2021-1047
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Owner-based benefit evaluation of BIM applications in China's
           engineering projects

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      Authors: Xiaojuan Li, Zhou Zhang, C.Y. Jim, Jiyu Lai, Xueqing Chen
      Abstract: This paper aims to establish a model to evaluate the benefits of building information modeling (BIM) from the owners' perspective. The model analyzes the correlation between five secondary benefit indicators and their subsystems: product, financial, organizational, management and strategic. The final key factors of BIM benefits provide a decision-making basis for owners to raise the efficiency of BIM application. Firstly, the authors combed 31 BIM-related literature and interviewed experts to identify 15 preliminary benefit indicators. The authors established a BIM benefit evaluation system based on relevant concepts, including two primary indicators, five secondary indicators and 15 tertiary indicators. Secondly, the authors analyzed the indicators by the extension theory of matter element analysis and a questionnaire survey of expert opinion. Finally, the new method was applied to a case study of a large shopping center in east China for empirical verification. A BIM benefit evaluation model, including a three-tiered hierarchy of primary, secondary and tertiary indicators, was constructed through literature review and expert opinions. The model determined the critical factors of BIM benefits, enhanced understanding of owner benefits and improved BIM application under the owners' leadership. At present, most studies focus on specific project stages or benefit indicators. This study developed an integrated BIM benefit evaluation system that targets owners. The findings could foster the development of China's construction industry, promote owner-led BIM application and advocate adopting the benefit evaluation method.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-16
      DOI: 10.1108/ECAM-01-2022-0063
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • The latest operational, contractual and organizational trends
           in IPD literature: review and future directions

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      Authors: Sara Rankohi, Mario Bourgault, Ivanka Iordanova
      Abstract: Integrated project delivery (IPD) has attracted considerable attention in recent years, however only a few review studies captured the dynamic and evolving nature of this topic. The purpose of this study is to review the most recent IPD publications, in order to shed light on future research. Using a systematic review methodology, the study aims to synthesize the current IPD literature, and frame the latest research and development in this domain. A systematic review is conducted to identify the current state-of-the-art of IPD research and the latest research themes and trends in this domain. A bibliometric analysis is performed to explain characteristics of screened articles, and through a thematic analysis the latest themes and trends are recognized. In this study, based on IPD characteristics (contractual-regulative, operational-cognitive and organizational-structural), research themes (legal, commercial, technological, procedural, cultural and structural), sub-themes and their associated trends are identified. The latest emerging trends are mostly related to the contractual characteristics of IPD, and are focused on the combination of IPD with new business models and developing contractual guidelines for promoting IPD applications in off-site and on-site construction projects. This research contributes to the body of knowledge by synthesizing the state of the art of IPD in construction literature and exposing the latest research trends in this area. A theoretical framework of integration in an IPD context is developed, based on the literature. Finally, future areas of studies are discussed.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-14
      DOI: 10.1108/ECAM-02-2022-0170
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Investigating building information modeling acceptance in the Chinese AECO
           industry

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      Authors: Xiaolong Xue, Xiliang Sun, Weirui Xue, Yaxin Wang, Longhui Liao
      Abstract: Conscious of the benefits building information modeling (BIM) has brought about to the architecture, engineering, construction and operations (AECO) industry, the Chinese government has been driving BIM adoption. Nonetheless, its acceptance and proliferation in China remain stagnant. Most relevant literature focuses on BIM diffusion at the industry and organizational levels, but the impact of non-managerial practitioners executing BIM or the traditional drafting approach in day-to-day work tends to be disregarded. This study aims to extend theoretical models pertaining to technology acceptance to understand non-managerial practitioners’ perceptions toward working with BIM in China. A new BIM acceptance model was proposed based on previous technology acceptance theories. After a pilot study, a survey was conducted with 153 non-managerial practitioners in the Chinese AECO industry. Among factors impacting non-managerial practitioners’ BIM acceptance in China, performance expectancy and task-technology fit significantly and positively influence behavioral intention to accept BIM, while the impacts from effort expectancy, social influence and facilitating conditions are not essential. Management strategies, such as improving non-managerial staff’s benefits and sense of BIM usefulness, selecting suitable tools to match with the staff’s tasks and promoting a middle-out approach in parallel with top-down interventions, are proposed for Chinese AECO organizations to enhance BIM acceptance. Few studies have explored BIM acceptance from the perspective of non-managerial users in the Chinese AECO industry, especially using the theories related to technology acceptance. The BIM acceptance model developed in this study is different from those used in previous global studies in terms of influencing factors.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-14
      DOI: 10.1108/ECAM-08-2021-0685
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Understanding the BIM actor role: a study of employer and employee
           preference and availability in the construction industry

         This is an Open Access Article Open Access Article

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      Authors: Samuel Adeniyi Adekunle, Clinton Ohis Aigbavboa, Obuks Augustine Ejohwomu
      Abstract: The implementation of BIM in the construction industry requires the coevolution of the various aspects of the BIM ecosystem. The human dimension is a very important dimension of the ecosystem necessary for BIM implementation. It is imperative to study this aspect of the BIM ecosystem both from the employer perspective and employee availability to provide insights for stakeholders (job seekers, employers, students, researchers, policymakers, higher education institutions, career advisors and curriculum developers) interested in the labour market dynamics. To understand the BIM actor roles through the employer lens and the actual BIM actors in the construction industry, this study employed data mining of job adverts from LinkedIn and Mncjobs website. Content analysis was employed to gain insights into the data collected. Also, through a quantitative approach, the existing BIM actor roles were identified. The study identified the employers' expectations of BIM actors; however, it is noted that the BIM actor recruitment space is still a loose one as recruiters put out open advertisements to get a large pool of applicants. From the data analysed, it is concluded that the BIM actor role is not an entirely new profession. However, it simply exists as construction industry professionals with BIM tool skills. Also, the professional development route is not well defined yet. This study presents a realistic angle to BIM actor roles hence enhancing BIM implementation from the human perspective. The findings present an insight into the preferred against the actual.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-14
      DOI: 10.1108/ECAM-08-2021-0714
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Reference section identification of construction specifications by a deep
           structured semantic model

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      Authors: Gitaek Lee, Seonghyeon Moon, Seokho Chi
      Abstract: Contractors must check the provisions that may cause disputes in the specifications to manage project risks when bidding for a construction project. However, since the specification is mainly written regarding many national standards, determining which standard each section of the specification is derived from and whether the content is appropriate for the local site is a labor-intensive task. To develop an automatic reference section identification model that helps complete the specification review process in short bidding steps, the authors proposed a framework that integrates rules and machine learning algorithms. The study begins by collecting 7,795 sections from construction specifications and the national standards from different countries. Then, the collected sections were retrieved for similar section pairs with syntactic rules generated by the construction domain knowledge. Finally, to improve the reliability and expandability of the section paring, the authors built a deep structured semantic model that increases the cosine similarity between documents dealing with the same topic by learning human-labeled similarity information. The integrated model developed in this study showed 0.812, 0.898, and 0.923 levels of performance in NDCG@1, NDCG@5, and NDCG@10, respectively, confirming that the model can adequately select document candidates that require comparative analysis of clauses for practitioners. The results contribute to more efficient and objective identification of potential disputes within the specifications by automatically providing practitioners with the reference section most relevant to the analysis target section.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-14
      DOI: 10.1108/ECAM-10-2021-0920
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Mark-up on construction projects: what have we learnt
           in the last 20 years'

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      Authors: Bee Lan Oo, Benson Teck-Heng Lim, Goran Runeson
      Abstract: With the aim to provide a global view of factors affecting mark-up size on construction projects, this study performs a meta-analytical review of the relevant studies over the past 20 years. The analytical process involved the identification and evaluation of the importance of critical factors affecting mark-up size on construction projects, and the assessment of the generalisability of findings of the meta-analysis. A random-effects model was adopted in the statistical meta-analysis. The results show that there are 23 critical factors, and the top five factors are: (1) competitiveness of other bidders; (2) number of bidders; (3) relationship and past experience with client; (4) experience on similar project; and (5) project size. A heterogeneity test further shows that there is no statistically significant heterogeneity across the studies, reinforcing the generalisability of the findings to a global context. The list of critical factors from a global perspective should form a good basis for future efforts in bidding model development. The research findings have practical implications to both construction clients and contractors in formulating their contracting practices and strategies. This is the first meta-analysis of a sizeable collection of replicated studies on factors affecting mark-up size on construction projects in the literature.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-13
      DOI: 10.1108/ECAM-01-2022-0070
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • ISM-based analysis of VR-AEC adoption barriers and their inner mechanisms

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      Authors: Zhengyi Chen, Keyu Chen, Jack C.P. Cheng
      Abstract: As an emerging visualization technology, virtual reality (VR) falls into the dilemma of having great potential but a low adoption degree in the architectural, engineering and construction (AEC) industry. However, few studies paid attention to studying barriers affecting VR’s adoption and their inner mechanisms. This makes AEC users hard to catch the key points for VR’s implementations. This study aims to get a clear structure of these barriers and provide insights for the improvement. First, 12 major VR-AEC adoption barriers were identified by a systematic literature review and expert interviews (EI). Second, EI and similarity aggregation method were conducted to achieve reliable barrier relationships. Third, interpretive structural modeling was used to establish a multi-level model for barriers. Finally, ten crucial barriers were targeted with a comprehensive strategy framework. The findings help AEC stakeholders get a thorough understanding of the VR-AEC adoption barriers. Besides, the inner mechanism among barriers is revealed and analyzed, followed by a systematic strategy framework. It is anticipated that users could conduct more effective VR-AEC promotions in the future. This paper is the first to propose a comprehensive literature review on the VR-AEC adoption barriers. In addition, this paper is novel in building a hierarchy model that explores barriers’ inner mechanism, where structural strategies are proposed.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-13
      DOI: 10.1108/ECAM-01-2022-0085
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • A conceptual construction management curriculum model grounded in
           scientometric analysis

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      Authors: John J. Posillico, David J. Edwards, Chris Roberts, Mark Shelbourn
      Abstract: This research aims to present a conceptual model for construction management programme curriculum development from the perspective of higher education institutes (HEIs) and aims to engender wider polemic debate and stimulate new insight into current higher education practice. The overarching epistemology adopts both interpretivist and pragmatist philosophical stances, couched within grounded theory, to critically analyse extant literature on construction management curriculum development. Inductive reasoning forms the basis of new emergent theory that maps curriculum development and highlights the external and internal factors impacting upon such. Research findings illustrate that the prevailing body of knowledge lacks a cohesive nucleus of research on construction management curriculum development. Rather, bespoke curriculum development research predominates in uncommunicative silos. Premised upon these findings, the conceptual curriculum model developed defines and delineates the universal internal factors (e.g. student marketplace, course leadership and academic precedents) and external factors (e.g. accreditation, construction industry and professional bodies) that impact upon curriculum development. Identification of these factors provides a sound basis upon which further research can be propagated to enhance curriculum development and unify the current disparate approaches adopted. This novel research highlights the lack of a cohesive agenda for curriculum development within mainstream construction management literature and based upon this, a conceptual model for future empirical analysis and testing is presented.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-09
      DOI: 10.1108/ECAM-10-2021-0899
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Influence of social media adoption on the performance of construction
           small and medium-sized enterprises (SMEs) in Abuja – Nigeria

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      Authors: Luqman Oyewobi, Olatunde Folaranmi Adedayo, Seth O. Olorunyomi, Richard Ajayi Jimoh
      Abstract: The purpose of this paper is to examine the influence of social media adoption on the performance of construction small and medium-sized enterprises (SMEs). Construction SMEs owners and managers in Nigeria were surveyed using questionnaires to gather data. Partial least square structural equation modeling (PLS-SEM) was employed to assess measurement reliability and validity, as well as the hypothesized paths provided in the conceptual model that formed part of the final conclusions. The empirical finding showed that social media usage increased knowledge accessibility, reduced costs and improved customer relations and service for organizations. Overall, social media adoption was significantly and positively related to SMEs business performance. Also, the paper revealed that learning capability mediates the relationship between social media and SMEs performance. Data for the study came from only one industry and one related line of business; thus, including more companies from different sectors or industries could be more interesting. The study's findings contributed to the growing body of knowledge about the impact of social media on the efficiency of businesses. Small and medium-sized businesses also need to understand and recognize the impact of social media on the organization's performance in order to achieve a long-term competitive edge from the adoption of social media. According to the findings, small construction firms can benefit from marketing the brands through social media channels and improved learning capability. In terms of accessibility, cost savings and improved relationships with customers, research shows that social media promotion can be beneficial to businesses. A study like this has the potential to show how social media can help striving small businesses interact cost-effectively with customers all over the world, opening new doors for sales and continuous improvement. The relationship between SME performance in Nigeria and the use of social media has received very little attention despite social media's promising potentials, particularly for small businesses. The authors hoped that this study will fill a gap in the authors' understanding of how social media affects the performance of small and medium-sized businesses (SMEs) in the construction industry.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-07
      DOI: 10.1108/ECAM-01-2022-0039
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Impacts of COVID-19 on construction project management: a life cycle
           perspective

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      Authors: Zhen Li, Yutong Jin, Wenjing Li, Qingfeng Meng, Xin Hu
      Abstract: The impacts of COVID-19 on construction projects have attracted much attention in the construction management research community. Nevertheless, a systematic review of these studies is still lacking. The purpose of this paper is to systematically analyze the impacts of COVID-19 on the different stages of a project life-cycle, and comprehensively sort out the epidemic response measures adopted by project participants. In addition, the study also attempts to explore the challenges and opportunities faced by project management practitioners under the context of COVID-19. This study comprehensively demonstrates the systematic review process of COVID-19 related research in the construction industry, systematically summarizes the research status of the impact of COVID-19 on construction projects, and defines the strategies to deal with COVID-19 in project management; and through the visualization research, determines the current key research topics and future research trends. This study identifies 11 construction activities in the project management life cycle that are affected by COVID-19 and finds that the COVID-19 epidemic has the greatest impact on construction workers, construction standards, construction contracts and construction performance. The study further summarizes the six main epidemic countermeasures and mitigation measures taken within the construction industry following the arrival of the epidemic. In addition, the results of this study identify opportunities and future trends in intelligent construction technology, rapid manufacturing engineering and project management in the construction industry in the post-epidemic era through literature results, which also provide ideas for related research. COVID-19 has brought severe challenges to society. It is of great significance for the future sustainable development of the construction industry to identify the impact of COVID-19 on all phases of the project and to promote the development of coping strategies by project stakeholders. First of all, there is little study comprehensively reviewing the impacts of COVID-19 on the different stages of construction projects and the strategies to deal with the negative impacts. In addition, from a life cycle perspective, the used articles in this study were grouped into different categories based on project stages. This promotes an integrated and comprehensive understanding of historical studies. Moreover, on the basis of a comprehensive review, this paper puts forward future research directions to promote the sustainable development of the construction sector.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-07
      DOI: 10.1108/ECAM-10-2021-0873
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Sustainability evaluation of the prefabricated medical emergency
           buildings’ renovation scheme after the COVID-19

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      Authors: Yue Teng, Zhongfu Li, Jin Cai, Min Ju
      Abstract: This study aims to focus on the sustainability of prefabricated medical emergency buildings (PMEBs) renovation after the epidemic, to address the problem that large numbers of PMEBs may be abandoned for losing their original architectural functions. This study develops an evaluation system to identify and measure sustainable factors for PMEBs’ renovation schemes. Qualitative and quantitative analysis of PMEBs’ renovation scheme was conducted based on cloud model evaluation method and selected the renovation scheme in line with sustainable development. The study promotes evaluation methods and decision-making basis for the renovation design of global PMEBs and realizes the use-value of building functions again. By referring to the existing literature, design standards and expert visiting a set of evaluation index systems which combines the renovation of the PMEBs and the sustainability concept has been established, which calculates the balanced optimal comprehensive weight of each indicator utilizing combination weighting method, and quantifies the qualitative language of different PMEBs’ renovation schemes by experts through characteristics of the cloud model. This paper takes Huoshenshan hospital a representative PMEB during the epidemic period as an example, to verify the feasibility of the cloud model evaluation method. The research results of this paper are that in the PMEBs’ renovation scheme structural reformative (T11) and corresponding nature with the original building (T13) have the most important influence; the continuity of architectural cultural value (T22) and regional development coherence (T23) are the key factors affecting the social dimension; the profitability of renovated buildings (T34) is the key factor affecting the economic dimension; the environmental impact (T41), resource utilization (T42) and ecological technology (T43) are the key factors in the environmental dimension. This study contributes to the existing body of knowledge by supplementing a set of scientific evaluation methods to make up for the sustainability measurement of PMEBs’ renovation scheme. The main objective was to make renovated PMEBs meet the needs of urban sustainable development, retain the original cultural value of the buildings, meanwhile enhance their social and economic value and realize the renovation with the least impact on the environment.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-07
      DOI: 10.1108/ECAM-10-2021-0891
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Modelling and quantitation of embodied, operational and mobile energies of
           buildings: a holistic review from 2012 to 2021

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      Authors: Vivian W.Y. Tam, Lei Liu, Khoa N. Le
      Abstract: This paper proposes an intact framework for building life cycle energy estimation (LCEE), which includes three major energy sources: embodied, operational and mobile. A systematic review is conducted to summarize the selected 109 studies published during 2012–2021 related to quantifying building energy consumption and its major estimation methodologies, tools and key influence parameters of three energy sources. Results show that the method limitations and the variety of potential parameters lead to significant energy estimation errors. An in-depth qualitative discussion is conducted to identify research knowledge gaps and future directions. With societies and economies developing rapidly across the world, a large amount of energy is consumed at an alarming rate. Unfortunately, its huge environmental impacts have forced many countries to take energy issues as urgent social problems to be solved. Even though the construction industry, as the one of most important carbon contributors, has been constantly and academically active, researchers still have not arrived at a clear consensus for system boundaries of life cycle energy. Besides, there is a significant difference between the actual and estimated values in countless current and advanced energy estimation approaches in the literature.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-01
      DOI: 10.1108/ECAM-01-2022-0050
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Cause analysis of construction collapse accidents using association rule
           mining

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      Authors: Lijia Shao, Shengyu Guo, Yimeng Dong, Hongying Niu, Pan Zhang
      Abstract: The construction collapse is one of the most serious accidents since it has several attributes (e.g. accident type and consequence) and its occurrence involves various kinds of causal factors (e.g. human factors). The impact of causal factors on construction collapse accidents and the interrelationships among causal factors remain poorly explored. Thus, the purpose of this paper is to use association rule mining (ARM) for cause analysis of construction collapse accidents. An accident analytic framework is developed to determine the accident attributes and causal factors, and then ARM is introduced as the method for data mining. The data are from 620 historical accident records on government websites of China from 2010 to 2020. Through the generated association rules, the impact of causal factors and the interrelationships among causal factors are explored. Collapse accident is easily caused by human factors, material and machine condition and management factors. Furthermore, the results show a close interrelationship between many causal factors and construction scheme and organization. The earthwork collapse is greatly related to environmental condition and the scaffolding collapse is greatly related to material and machine condition. This study found relevant knowledge about the key causes for different types of construction collapses. Besides, several suggestions are further provided for construction units to prevent construction collapse accidents. This study uses data mining methods to extract knowledge about the causes of collapse accidents. The impact of causal factors on various types of construction collapse accidents and the interrelationships among causal factors are explained from historical accident data.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-06-01
      DOI: 10.1108/ECAM-11-2021-0991
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • The influence of effort level on profit distribution strategies
           in IPD projects

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      Authors: Shuwen Guo, Junwu Wang, Huaping Xiong
      Abstract: Construction projects have become increasingly long, complex and costly with waste and inefficiencies and often fail to achieve the desired results. Integrated project delivery (IPD) is believed to change these problems. A reasonable and fair profit distribution mechanism is a critical factor for ensuring the success of the IPD projects. This study aims to investigate the strategies of all participants in the profit distribution of an IPD project with respect to the factor of the effort level. This study describes the influence of owners and participants on profit distribution due to their respective efforts in the IPD project alliance. The influence of effort level on profit distribution is discussed based on the Holmstrom-Milgrom model of asymmetric information game theory and principal-agent theory, combined with incentive compatibility (IC) constraints and individual rationality (IR) constraints. The results show that the optimal level of effort by each participant optimizes the profit distribution of an IPD project. At the same time, in the revenue incentive contract, the effort level of the participants is positively correlated with the profit distribution, proportional to their contribution coefficient and inversely proportional to the square of the cost of their creative activities in terms of effort. Each party of an IPD project can adopt a series of measures to improve their own effort level and choose the optimal level of effort based on the profit distribution, while satisfying their own utility maximization. This study introduces the Holmstrom-Milgrom model in the principal-agent theory to explore the influence of the effort level on profit distribution in IPD projects. The quantitative model can contribute to establish a fair and efficient profit distribution scheme for the IPD projects.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-05-31
      DOI: 10.1108/ECAM-02-2022-0107
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • How are social procurement actors shaping a new field of professional
           practice in the Australian construction industry'

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      Authors: Martin Loosemore, Robyn Keast, Jo Barraket
      Abstract: Social procurement is becoming an increasing policy focus for governments around the world as they seek to incentivise new collaborative partnerships with private organisations in industries like construction to meet their social obligations. The limited construction management research in this area shows that the successful implementation of these policies depends on a new generation of social procurement professionals who are promoting these policies into an institutional vacuum with little organisational identity, legitimacy and support. The purpose of this paper is to investigate what these actors do to promote and build support for the implementation of these policies in their organisations. A thematic analysis of in-depth semi-structured interviews with 15 social procurement actors in the Australian construction industry is presented. Results portray an experimental, disconnected and nascent institutional field of practice with a high degree of role ambiguity and conflict. In the absence of a clear organisational identity and legitimate power-base, social procurement actors are forced to rely on incremental rather than radical innovation and the power of stories to persuade others to engage with their vision for creating social value through construction. Contributing new insights to the emerging “practice theme” in social procurement research, this paper provides important conceptual and practical information about the attributes which determine their success, how they fit into existing organisational structures and how they build support to achieve enabling institutional change. Academically, the results advance understanding of how social procurement professionals are implementing these policies into their organisations. Practically, they provide new information which enable social procurement professionals to improve their practices and construction companies to recruit the right people into these roles and design their organisations to more effectively support them.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-05-31
      DOI: 10.1108/ECAM-02-2022-0111
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Scientometric review of construction conflict from 1991 to
           2020

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      Authors: Nan Liu, Rui Zhou, Ruoyu Jin, Qing Xiao, Zhipeng Hu
      Abstract: The purpose of this paper is to summarize the research of construction conflict from 1991 to 2020 and propose research directions for future scholarly work. During the recent decades, it is widely accepted that construction conflict is inevitable, and conflict management has become an important component of project management. However, few works were done to map the global study in this field, there is limited review that evaluates the current stage of construction conflict research. This study adopted a holistic literature review approach that incorporates bibliometric search and scientometric analysis. A total of 698 bibliographic records from the Web of Science core collection database were collected for the scientometric analysis. CiteSpace5.7 was adopted for the science mapping purpose in this study. Through co-authorship analysis, co-word analysis and co-citation analysis, influential scholars and journals are identified. Several research trends are highlighted according to the scientometric analyses of the construction conflict topics. For example, the application of simulation and algorithms to the study of construction conflict management systems. Construction is a resource-intensive, multi-participant and multi-targeted industry. Conflicts always exist in the whole life cycle of construction projects, it is important for industry practitioners to be updated of the latest movement and progress of the academic research. This study contributed to the body of knowledge in construction conflict and bridge the research gap in the thorough review of previous research work.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-05-31
      DOI: 10.1108/ECAM-06-2021-0535
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • A framework to evaluate sustainable construction principles in government
           building projects: the case of Jordan

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      Authors: Heba Ayoub, Ghaleb Sweis, Waleed Abu-Khader, Rateb Sweis
      Abstract: This study aimed to provide a framework that includes the principles of sustainable construction to evaluate their application in the construction of government building projects in various environmental, economic, and social aspects distributed over the project phases throughout its life cycle. Qualitative methods from literature review and analysis of sustainability assessment tools were used to design the framework. The designed framework included six main categories, comprising 19 indicators that include sustainable building principles to assess application levels in government construction projects. It was used to evaluate applying sustainability practices in Jordanian government construction projects. 133 questionnaires were distributed to a convenience sample of three government institutions concerned with the design, implementation, and management of government buildings in Jordan. After collecting the quantitative data, the results showed that there is an application of six sustainability principles during the initial planning, analysis, and design stages of Jordanian government construction projects. The results focused on the application levels in social sustainability principles versus environmental and economical, especially in the operating stages during the project life cycle. This study contributes by providing a tool to evaluate the sustainability of government construction projects and increase the efficiency and effectiveness of these types of buildings in both the short and long term by making them more sustainable. Subsequently, recommendations are made on reorienting government construction projects toward a sustainable building approach.
      Citation: Engineering, Construction and Architectural Management
      PubDate: 2022-05-20
      DOI: 10.1108/ECAM-01-2022-0040
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
       
  • Dynamic incentives for inhibiting private sectors' opportunistic effort
           diversion in infrastructure PPP projects: an optimal control perspective

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