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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).
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).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/JCEMD4.COENG-15612
- Abstract:
The construction industry has encountered persistent stagnation in labor productivity spanning several decades. Although lean construction principles underscore the significance of information availability and transparency, advocating for bilateral communication with onsite personnel, it has come to light that the existing information levels fall short of satisfying the information requirements of field crew members. Timely and comprehensive information regarding context and context changes is crucial for construction field crew members when executing their tasks. Insufficiencies in this aspect could lead to increased variability and prolonged task cycle times for field crew members engaged in similar construction tasks. However, at present, there exists a dearth of a systematic understanding of context, rendering it challenging to promptly disseminate context-related information and its variations to field crew members. This research endeavor strives to bridge this knowledge gap by formulating a comprehensive construction context taxonomy encompassing 17 distinct context dimensions. This research contributes to the domain by (1) reviewing and amalgamating existing literature on context to delineate the potential structuring of context information, (2) developing a comprehensive context taxonomy comprising 17 diverse context dimensions, and (3) validating the taxonomy through semistructured interviews with industry experts and real-world field studies. The context taxonomy herein furnishes a structured representation of context specifically tailored to the requirements of construction field crew members. Consequently, it engenders a shared understanding of context and holds promise for catalyzing relevant research initiatives within the construction industry. For practical implementation, the context taxonomy may serve as a valuable tool for recognizing and conveying context and its fluctuations to construction field crew members, thereby enhancing their work processes and productivity.
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).