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Alashari, M, El-Rayes, K and Alotaibi, M (2023) Optimizing the planning of maintenance activities in education buildings. Journal of Construction Engineering and Management, 149(10).
Chang, R, He, T, Han, Y, Xue, R and Zhang, W E (2023) Geographical imbalance and influential characteristics of the green building market. Journal of Construction Engineering and Management, 149(10).
Cong, W, Goh, Y M, Zhang, S, Liang, H, Zhou, Z and Guo, N (2023) Linking leader-member exchange and informal safety communication of construction workers in China: A cognitive psychology perspective. Journal of Construction Engineering and Management, 149(10).
Dias Barkokebas, R and Li, X (2023) VR-ret: A virtual reality-based approach for real-time ergonomics training on industrialized construction tasks. Journal of Construction Engineering and Management, 149(10).
Elbashbishy, T and El-Adaway, I H (2023) System dynamic modeling to study the impact of construction industry characteristics and associated macroeconomic indicators on workforce size and labor retention rate. Journal of Construction Engineering and Management, 149(10).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-13410
- Abstract:
Limited skilled labor has been one of the greatest challenges facing the construction industry. The COVID-19 pandemic has further exaggerated the already strained construction labor market, leading to an additional negative impact. One of the major contributors to skilled labor shortages in construction is the issue of labor retention. Overall, this is a complex and dynamic situation that requires effective and efficient simulation-based techniques to capture the interdependent relationships that affect the performance of the construction labor market. This paper fills this knowledge gap. To this end, the authors used a multistep research methodology that involved (1) identifying factors that affect skilled labor shortages; (2) developing a one-module system dynamics model that consists of three interconnected systems (namely, construction labor market system, industry characteristics system, and economic conditions system); (3) initializing and calibrating the model to simulate the construction labor market; (4) validating the model through structural, behavioral, and calibration tests; and (5) conducting sensitivity analysis to simulate different parameters and examine their impact on skilled labor shortage. Among other findings, results indicated that all scenarios were successful in improving the conditions of the skilled labor market by increasing the workforce size and labor retention rate. Further, the model demonstrated that economic indicators have a more impactful influence on labor retention patterns compared with industry characteristics. The developed model offers industry practitioners, policymakers, business analysts, and other associated stakeholders a useful tool to test various scenarios including national-level economic policies and labor retention regulations that affect the construction skilled labor market. Consequently, this allows users to analyze the impact of variables such as fiscal policies, economic support plans, and construction spending strategies.
Han, J, Gu, F and Wu, G (2023) Managing cooperation in multipartner project teams with heterogeneous team members. Journal of Construction Engineering and Management, 149(10).
Koc, K, Ekmekcioglu, Ö and Işlk, Z (2023) Developing a hybrid fuzzy decision-making model for sustainable circular contractor selection. Journal of Construction Engineering and Management, 149(10).
Lachance, E, Lehoux, N and Blanchet, P (2023) A simulation model to analyze different automation scenarios in a mixed-assembly manufacturing line: Timber-frame prefabrication industry. Journal of Construction Engineering and Management, 149(10).
Saeed, F, Mostafa, K, Rauch, C and Hegazy, T (2023) Environmental impact and cost assessment for reusing waste during end-of-life activities on building projects. Journal of Construction Engineering and Management, 149(10).
Singh, V V and Tommelein, I D (2023) Visual workload leveling and zoning using work density method for construction process planning. Journal of Construction Engineering and Management, 149(10).
Tran, H, Robert, D, Gunarathna, P and Setunge, S (2023) Stochastic prediction of road network degradation based on field monitoring data. Journal of Construction Engineering and Management, 149(10).
Wu, S, Xie, H, Zeng, Z, Wang, M, Zhao, H and Liu, Y (2023) Influence of pea-gravel layer on segment ring support performance in shield TBM tunnels: A discrete-continuous coupling simulation and model test. Journal of Construction Engineering and Management, 149(10).