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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).

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).

  • Type: Journal Article
  • Keywords: construction industry; definitional analysis; industrialized construction; systematic literature review
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/JCEMD4.COENG-15181
  • Abstract:
    The underestimation of the conceptual divergences in the field of construction industrialization (CI) has led to the understanding of distinct positions and terms as equivalent and to their interchangeable use. This has generated ambiguity regarding the concept in literature and professional practice, limited knowledge exchange and collaboration, hindered the establishment of measurement bases and regulatory contexts, and led to incorrect assumptions about benefits. This study addresses the need for a comprehensive framework that highlights and facilitates the recognition and shared understanding of conceptual divergences in CI. An in-depth analysis of terminology and definitions was conducted through a systematic literature review, content analysis, and hierarchical cluster analysis. The findings present a comprehensive compendium of CI terms and definitions proposed between 1949 and 2023, cited at least once between 2017 and 2023. Sixty-eight underlying themes in CI definitions were identified, and the predominant conceptual approaches in contemporary literature were determined. Clarifying CI's conceptual divergences facilitates the effective exchange of knowledge and the consistent implementation of CI practices in diverse contexts. It also contributes to the work of researchers and professionals from diverse perspectives is based on the recognition and shared understanding of this diversity, promoting the advancement of the CI knowledge field.

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).