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Alshboul, O; Shehadeh, A; Saleh, E (2025) Advancing construction quality management: An integrated evidential reasoning and belief functions framework. Journal of Construction Engineering and Management, 151(8).
Altalhoni, A; Liu, H; Abudayyeh, O; Kwigizile, V; Huang, W C; Kirkpatrick, K (2025) Robust forecasting models for highway construction cost indices during pandemic-era inflation. Journal of Construction Engineering and Management, 151(8).
Bhatia, A; Moselhi, O; Han, S (2025) Hybrid optimization approach for scheduling in panelized construction manufacturing. Journal of Construction Engineering and Management, 151(8).
Chau, A D; Hoang, H T; Nguyen, L D (2025) Web-based decision support system for automated pavement design and life-cycle cost analysis. Journal of Construction Engineering and Management, 151(8).
Chen, Z; Zhou, X; Zhang, Z; Yan, H; Niu, X; Li, Y (2025) Using the decomposed theory of planned behavior and a structural equation model with partial least squares to investigate construction and demolition waste reduction behavior. Journal of Construction Engineering and Management, 151(8).
Darko, A; Weerasinghe, L N K; Chan, A P C; Wu, L (2025) Partial least squares structural equation modeling of challenges to existing residential building net zero carbon retrofitting. Journal of Construction Engineering and Management, 151(8).
He, H; He, Q; Chan, A P C; Feng, X; Dong, S (2025) Exploring the driving mechanisms of interorganizational knowledge sharing based on the Bayesian network analysis. Journal of Construction Engineering and Management, 151(8).
He, P; Qin, L; Yuan, Y; Yuan, J (2025) Action reliability assessment framework for automated construction labor measurements: Case study on plastering operations. Journal of Construction Engineering and Management, 151(8).
Heravi, M Y; Jang, Y; Chauhan, H (2025) Comparative analysis of deep-learning approaches for automatic recognition of awkward postures in construction environments through wrist-worn biosensors. Journal of Construction Engineering and Management, 151(8).
Jiang, S; Wang, S; Sun, H; Liu, W; Xiao, B; Cha, H S; Zhang, J (2025) Enhancing quality management: Lightweight detection and risk warning of concrete cracks and rebar exposure using improved YOLOv8. Journal of Construction Engineering and Management, 151(8).
Ju, Q; Zheng, R; Liu, H; Shen, Z (2025) Exploring the effect of interface management on project success in complex capital projects: The moderating role of relational capital. Journal of Construction Engineering and Management, 151(8).
Li, J; Huang, W; Song, D; Zhou, L; Yang, B (2025) A constrained planning method: Considering storage space limitations and soft logic for cruise cabin assembly scheduling. Journal of Construction Engineering and Management, 151(8).
Lopez, J; Bhandari, S; Perry, L; Ayer, S K; Hallowell, M R; Jones, M (2025) Analyzing the impact of virtual reality and haptic feedback on the safety skills of construction workers. Journal of Construction Engineering and Management, 151(8).
Ma, B; Cai, Y; Zhang, H; Fan, Y; Wang, F; Wang, P; Lyu, Z; Zhao, Z (2025) Evaluating construction risks of ultralarge diameter bored pile in deep water using combination weighting with two-dimensional cloud optimization. Journal of Construction Engineering and Management, 151(8).
Ma, J; Zhao, Y; Zheng, D; Liao, X; Lu, J (2025) CSADnet: Attention-based semantic segmentation method for spraying scene images of building gables. Journal of Construction Engineering and Management, 151(8).
Ma, S; Li, Z; Shen, Y (2025) Decision-making framework for selecting sustainable prefabricated residential building technology schemes under minimum assembly rate constraints. Journal of Construction Engineering and Management, 151(8).
Ma, Z; Gu, J; Zhao, Q; Yang, M; Qian, C; He, M; Hei, X (2025) Intelligent optimization of blasting parameters in railroad tunnels based on blasting quality control. Journal of Construction Engineering and Management, 151(8).
Salhab, D; Pourrahimian, E; Lindhard, S M; Hamzeh, F (2025) Patterns, 4D simulations, and artificial intelligence-driven insights: Redefining construction workspace management. Journal of Construction Engineering and Management, 151(8).
Shao, B; Meng, J; Che, W (2025) Long-term energy usage prediction in public buildings using aggregated modal decomposition and gru. Journal of Construction Engineering and Management, 151(8).
Shiha, A; El-Adaway, I H (2025) Localized multivariate statistical assessment of United States construction labor shortages. Journal of Construction Engineering and Management, 151(8).
Wang, Z; Shen, Y; Li, K (2025) Resilience strengthening paths for precast production management in prefabricated construction. Journal of Construction Engineering and Management, 151(8).
Xiao, Q; Long, T; Huang, W; Liang, X; Klarin, A (2025) Unpacking the relationship between safety leadership and safety behaviors in the construction industry: Multistakeholder perspective. Journal of Construction Engineering and Management, 151(8).
Xu, Y; Chi, M; Lee, C Y; Chong, H Y; Wu, H (2025) Effects of the blockchain and artificial intelligence on value cocreation in construction projects: A mixed methods study. Journal of Construction Engineering and Management, 151(8).
Ying, W; Dai, X; Shen, W (2025) Rapid project delivery through bricolage and planning: A case study of the huoshenshan hospital project. Journal of Construction Engineering and Management, 151(8).
Zhang, C; Zhang, W; Shi, Y; Zhao, T; Zhang, Y (2025) Digital safety navigation for tower crane climbing process from a systematic perspective: Risk identification, safety information requirements, and related intelligent platform. Journal of Construction Engineering and Management, 151(8).
Zhang, Z; Guo, H; Li, H; Fang, Y (2025) Agent-based simulation approach to analyzing the impact of construction safety management behaviors on workers' safety behaviors. Journal of Construction Engineering and Management, 151(8).
Zhao, Z; Wang, X; Ji, Y; Liu, H; Liu, X; Yao, F (2025) Analysis of quality-influencing factors of adopting prefabricated steel structure housings: Based on the ISM-MICMAC model. Journal of Construction Engineering and Management, 151(8).
Zheng, Y; Debs, L; Besiktepe, D; Oh, H J (2025) Insights for key professional competencies of us entry-level construction positions: A structural topic modeling approach. Journal of Construction Engineering and Management, 151(8).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/JCEMD4.COENG-16343
- Abstract:
The construction industry in the United States currently faces challenges, from the high labor shortage to the prospect of an increasing trend, along with changing job demands driven by evolving technologies. To help mitigate such issues for new graduates in construction-related disciplines, this study aims to provide insights that would assist educational institutions to better align their programs to emerging industry needs by identifying key competencies for entry-level construction positions. Through the combination of the structural topic modeling (STM) text-mining method and 1,046 real-world job posting data, the research team identified 16 key competencies for young construction professionals (or early career construction professionals), with a majority related to project management. Among those, two competencies associated with virtual design and construction (VDC) were identified, namely VDC capability and field VDC coordination, potentially indicating the industry's growing need toward VDC implementation. Furthermore, this study revealed connections between different job types and required competencies through regression analysis. Results indicated that general project phase management competency was identified in all entry-level construction positions. Moreover, the presence of VDC-related competencies in numerous non-VDC positions further highlighted the increasing focus and wider adoption of VDC functions across the construction industry. This study contributes to the latest understanding of entry-level construction job competencies in the United States and provides a new analytical approach using STM within the studied field. The research findings also offer practical implications for educational institutions to adjust their curriculum designs pertaining to industry demands, job applicants to focus on relevant competencies, and companies to better match applicants' abilities based on different entry-level positions. This study ultimately facilitates better alignment of skills and job requirements in the face of evolving technologies and labor shortage challenges in the construction industry.
Zu, L; Liao, W (2025) Reinforcement learning-based multiobjective and multiconstraint production scheduling for precast concrete. Journal of Construction Engineering and Management, 151(8).