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Baker, M; Ali, M; Hassett, E; Jahan Tumpa, R (2025) Tapping the untapped resource to address construction skills shortages: Perceptions of Australian women career changers and construction women. Journal of Construction Engineering and Management, 151(4).
Chang, W C; Esmaeili, B; Hasanzadeh, S (2025) Impacts of physical and informational failures on worker-autonomy trust in future construction. Journal of Construction Engineering and Management, 151(4).
Charbel, G; Assaad, R H; Tejada, T R; Karaa, F (2025) Modeling the interdependencies between the risk factors contributing to preconstruction delays in construction projects. Journal of Construction Engineering and Management, 151(4).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/JCEMD4.COENG-15871
- Abstract:
While preconstruction delays have significant ramifications on all aspects of a project, they are often overlooked. Existing research studies focused on preconstruction delay factors as isolated events without considering the interdependencies between them. This paper addresses this research gap by considering and analyzing the associations between various risk factors causing delays in the preconstruction phase. First, a list of 30 preconstruction delay risk factors was identified based on relevant literature and was validated using the Delphi technique. Second, the dependencies between the risk factors were identified by constructing a risk structure matrix (RSM) through input from a focus group of experts by following the Delphi approach. Third, the analytic hierarchy process method was applied on the obtained RSM to quantify the identified dependencies between the various risk factors by constructing a risk numerical matrix (RNM) based on a survey distributed to industry practitioners. Fourth, the relationships or correlations between the various risk factors were modeled using network analysis conducted on the obtained RNM. Finally, the key risk factors leading to preconstruction delays were determined using clustering analysis. The research findings demonstrated that the most critical preconstruction delay risk factors are (1) design changes, mistakes, errors, and omissions; and (2) conflicts among project participants. This research adds to the body of knowledge by developing a new approach that models preconstruction delay factors as an interconnected network of events rather than as independent occurrences, thus providing a better understanding of how different preconstruction delay risk factors interact with each other and how the occurrence of one risk factor can trigger other occurrences. This research motivates stakeholders to look out for preconstruction delays more actively during project planning and design and to effectively mitigate them, ultimately improving risk management strategies during the preconstruction phase of projects.
Chen, S; Zeng, N; Li, F; Yue, H; Wang, Q; Li, Q (2025) Proactive safety risk control system for deep foundation pit construction: Situational tailoring of integrated cybernetics and dual-system theory. Journal of Construction Engineering and Management, 151(4).
Dou, Y; Zhong, L; Luo, L (2025) Supply chain resilience of prefabricated construction: Perspectives of stakeholder capabilities and vulnerabilities. Journal of Construction Engineering and Management, 151(4).
He, C; Liu, M; Hsiang, S M; Pierce, N; Megahed, S; Godfrey, A (2025) An ontological knowledge-driven smart contract framework for implicit bridge preservation decision making. Journal of Construction Engineering and Management, 151(4).
Jiang, Z; Han, Y; Cheng, Y; Wang, Z; Meng, H (2025) An improved yolov8-dyhead-wiseiou model for positioning and counting detection of grouting sleeves in a prefabricated wall. Journal of Construction Engineering and Management, 151(4).
Lin, S; Cheung, S O (2025) What organizational justice brings to project dispute negotiation. Journal of Construction Engineering and Management, 151(4).
Liu, Z; Li, X; Gao, Z; Zhang, Y; Teng, Y; Wu, C (2025) A hybrid and intuitive work packaging approach with multiple task relations, general work package precedence, and BIM in modular construction. Journal of Construction Engineering and Management, 151(4).
Mai, T P A; Doan, D T; Ghaffarianhoseini, A (2025) Utilizing multiskilled resources in addressing labor shortage issues in off-site construction: Benefits, challenges, and best practices. Journal of Construction Engineering and Management, 151(4).
Onubi, H O; Carpio, M (2025) Voluntary workplace proenvironmental behavior on construction project sites: Antecedent roles of green human resource management practices, environmental awareness, and job control. Journal of Construction Engineering and Management, 151(4).
Sharma, N; Laishram, B (2025) Decoding the emergent patterns of cost of quality through the lens of sociotechnical systems: A bibliometric analysis. Journal of Construction Engineering and Management, 151(4).
Shrestha, R; Ko, T; Lee, J (2025) Quantifying project uncertainties: Leveraging historical bid and change order data for automated detection of cost and schedule impacts in new projects. Journal of Construction Engineering and Management, 151(4).
Sun, R; Yan, Q; Zhang, C; Qiao, M; Ren, J (2025) Comprehensive evaluation of grouting effectiveness combining qualitative on-site tests and improved fuzzy integration with entropy weight method: Case study of a mountain tunnel. Journal of Construction Engineering and Management, 151(4).
Tao, Y; Hu, H; Xu, F; Zhang, Z (2025) Ergonomic risk mitigation through workforce planning for construction projects. Journal of Construction Engineering and Management, 151(4).
Wang, H; Chen, X; Wang, J; Guan, W; Wei, S (2025) Multiobjective trade-off optimization of time, cost, quality, and carbon emission in the building construction stage. Journal of Construction Engineering and Management, 151(4).
Yan, H; Liu, C; Yang, X; Feng, K (2025) Real-time digital twin-driven 3D near-miss detection system at construction sites. Journal of Construction Engineering and Management, 151(4).
Yu, M; Ruan, W; Zhou, Y; Zhao, Y (2025) Flow shop scheduling for prefabricated components production considering parallel machines and buffer constraints. Journal of Construction Engineering and Management, 151(4).