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Afful, A E; Wang, C C; Sunindijo, R Y; Frimpong, S; Boadu, E; Baah, B (2025) Evolving job roles of women in the construction industry. Journal of Construction Engineering and Management, 151(3).
Alothman, A; Vilventhan, A (2025) Development of building information model-enabled facility management for metro rail stations. Journal of Construction Engineering and Management, 151(3).
Bae, J; Choi, B; Krupka, E; Lee, S (2025) Harnessing project identity and safety norms to promote construction workers' safety behavior: Field intervention study. Journal of Construction Engineering and Management, 151(3).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/JCEMD4.COENG-14923
- Abstract:
The importance of workers' social identity in shaping their safety behaviors has become increasingly acknowledged. Among various social identities (e.g., workgroup, trade, etc.), improving project identity stands out as particularly impactful; it not only promotes safer behaviors among workers but also establishes a shared identity that unites all project members, thereby enhancing their sense of belonging. However, existing management strategies, primarily designed for traditional, long-term organizations, often require substantial managerial efforts to build and maintain high-quality management-employee interactions or organizational reputation. Such strategies may be less effective and economically impractical in the temporary nature of construction projects, suggesting a notable gap in management strategies that effectively foster workers' project identity to enhance safety behaviors. To fill this knowledge gap, the authors aim to develop and evaluate affordable and easy-to-implement managerial interventions that foster workers' project identification and safety behaviors. Drawing on social identity theory, the authors designed project identity-promoting messages and symbols that could be easily embedded into everyday items, such as posters and T-shirts. To evaluate their effectiveness, longitudinal field experiments were conducted, gathering 124 self-reported surveys on project identification and safety behavior from 31 workers before and after the interventions at two separate construction sites over three months. The survey data were analyzed using repeated measures (RM) ANOVA analysis to examine changes before and after the intervention. The results indicate significant improvements in both affective and behavioral dimensions of project identification, as well as in safety participation, demonstrating the potential of social identity-based interventions in improving workers' safety behaviors and project identification. This study contributes to the body of knowledge on construction organizations and construction safety by developing and evaluating practical managerial interventions based on social identity theory, which enhance construction workers' project identification and safety behavior.
Chen, Q; Long, D; Wang, S; Chen, Q; Yuan, B (2025) Real-time detection of personal protective equipment violations for construction workers using semisupervised learning and video clips. Journal of Construction Engineering and Management, 151(3).
Fan, C L (2025) Evaluation model for crack detection with deep learning: Improved confusion matrix based on linear features. Journal of Construction Engineering and Management, 151(3).
Helaly, H; El-Rayes, K; Ignacio, E J; Joan, H J (2025) Comparison of machine-learning algorithms for estimating cost of conventional and accelerated bridge construction methods during early design phase. Journal of Construction Engineering and Management, 151(3).
Khan, A N; Kwan, H K (2025) AI, agility, and environmental performance: A new framework for construction project managers. Journal of Construction Engineering and Management, 151(3).
Kussl, S; Wald, A; Flak, L S (2025) Change must come from within: Study of digital transformation in construction client organizations. Journal of Construction Engineering and Management, 151(3).
Li, J; Chen, Y; Wang, H (2025) Human-machine system modeling and safety risk assessment in construction operations incorporating workers' performance variability. Journal of Construction Engineering and Management, 151(3).
Liu, R; Fischer, M (2025) A context taxonomy for construction field crew members. Journal of Construction Engineering and Management, 151(3).
Liu, X; Geng, L; Liu, D; Lin, S (2025) Psychological bonding mechanisms and value creation in construction projects: Mediating role of participants' behaviors. Journal of Construction Engineering and Management, 151(3).
Luu, D T, Ng, S T and Chen, S E (2003) Parameters governing the selection of procurement system - An empirical survey. Engineering, Construction and Architectural Management, 10(3), 209–18.
Mokhtari, M; Hosseinian, S M (2025) Optimal outcome sharing among clients, builders, and designers in collaborative construction contracts: Comparing design–bid–build and design–build methods using principal–agent theory. Journal of Construction Engineering and Management, 151(3).
Nassar, K (2003) Construction contracts in a competitive market: C3M, a simulation game. Engineering, Construction and Architectural Management, 10(3), 172–8.
Rahimian, A; Ahmed, R R; Fazeli, A; Aghdam, E; Kumar Singh, A; Naji, M; Mohandes, S R; Fordjour Antwi-Afari, M; Zayed, T (2025) Examining the barriers to the adoption of IoT-based technologies in green buildings. Journal of Construction Engineering and Management, 151(3).
Shen, Z; Wu, J (2025) Multiobjective ant colony system algorithm for component-level construction schedule optimization. Journal of Construction Engineering and Management, 151(3).
Toakley, A R and Marosszeky, M (2003) Towards total project quality - A review of research needs. Engineering, Construction and Architectural Management, 10(3), 219–28.
Vásquez-Hernández, A; Alarcón, L F; Pellicer, E; Barkokebas, B (2025) Construction industrialization: A mosaic of definitions. Journal of Construction Engineering and Management, 151(3).
Wen, H; AbouRizk, S; Mohamed, Y (2025) Gap analysis of digitalization levels in construction and manufacturing: A comparative study of construction 4.0 and industry 4.0. Journal of Construction Engineering and Management, 151(3).
Wirahadikusumah, R and Abraham, D M (2003) Application of dynamic programming and simulation for sewer management. Engineering, Construction and Architectural Management, 10(3), 193–208.
Wong, T; Wei, Y; Zeng, Y; Jie, Y; Zhao, X (2025) A novel real-time torque prediction of epb shield in mixed ground using machine learning method based on geological knowledge fusion. Journal of Construction Engineering and Management, 151(3).
Yang, X; Jefferson, W; Bulbul, T (2025) Evaluation of construction worker perceptions of wearable proximity sensors during the COVID-19 pandemic. Journal of Construction Engineering and Management, 151(3).
Zhan, Z; Dong, Y; Doe, D M; Hu, Y; Li, S; Cao, S; Li, W; Han, Z (2025) Deep learning and blockchain-driven contract theory: Alleviate gender bias in construction. Journal of Construction Engineering and Management, 151(3).