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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).
- Type: Journal Article
- Keywords: construction client; construction industry; digital technology; digital transformation; public road organization
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/JCEMD4.COENG-15089
- Abstract:
Digital transformation strategies in various industries are shifting stakeholders' expectations regarding the construction sector's capacity to provide efficient and high-value digital solutions. In response, construction organizations are adopting digital technologies to enhance the efficiency, effectiveness, and overall quality of their design, operations and project delivery. Despite the growing prevalence of digital technologies, the construction sector lags in its effective adoption and benefit realization. The construction literature predominantly addresses a direct link between the use of digital technology and its attributed benefits, overlooking the critical dimension of intraorganizational change to realize them. A notable gap exists in the systematic understanding of how construction organizations define and approach digital transformation in their daily practices and how it can be conceptualized for the construction sector. This study pivots toward exploring organizational-level impacts of digital technology implementation and delves into the evolution of strategic assumptions and management practices essential for realizing digital transformation, a concept developed in the management and information system literature. Because construction client organizations play a pivotal role in driving industry-wide change, 24 experts from six organizations across four countries were interviewed by employing an exploratory qualitative research approach. The findings underscore a critical insight: the effectiveness of digital technology implementation in construction hinges significantly on an organization's readiness to embrace holistic, internal change. This study proposes a conceptual model centered on innovation management, business transformation, data precedence, change leadership, and digital governance, framing these as the essential elements for harnessing the full potential of digital technology. This study contributes to the evolving discussion of digital transformation in the construction sector, highlighting that fundamental changes cannot solely be imposed through external forces; instead, they must originate internally-"change must come from within."
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).