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AlChaer, E and Issa, C A (2020) Engineering Productivity Measurement: A Novel Approach. Journal of Construction Engineering and Management, 146(08).
Cai, S, Ma, Z, Skibniewski, M J, Bao, S and Wang, H (2020) Construction Automation and Robotics for High-Rise Buildings: Development Priorities and Key Challenges. Journal of Construction Engineering and Management, 146(08).
Chen, Y, Chen, S, Hu, C, Jin, L and Zheng, X (2020) Novel Probabilistic Cost Estimation Model Integrating Risk Allocation and Claim in Hydropower Project. Journal of Construction Engineering and Management, 146(08).
Han, Y, Yin, Z, Zhang, J, Jin, R and Yang, T (2020) Eye-Tracking Experimental Study Investigating the Influence Factors of Construction Safety Hazard Recognition. Journal of Construction Engineering and Management, 146(08).
Ibrahim, M W, Hanna, A S, Russell, J S, Abotaleb, I S and El-adaway, I H (2020) Quantitative Analysis of the Impacts of Out-of-Sequence Work on Project Performance. Journal of Construction Engineering and Management, 146(08).
Jiang, Y and Bai, Y (2020) Estimation of Construction Site Elevations Using Drone-Based Orthoimagery and Deep Learning. Journal of Construction Engineering and Management, 146(08).
Kim, J J, Miller, J A and Kim, S (2020) Cost Impacts of Change Orders due to Unforeseen Existing Conditions in Building Renovation Projects. Journal of Construction Engineering and Management, 146(08).
Li, H, Lv, L, Zuo, J, Su, L, Wang, L and Yuan, C (2020) Dynamic Reputation Incentive Mechanism for Urban Water Environment Treatment PPP Projects. Journal of Construction Engineering and Management, 146(08).
Li, J, Wang, H, Xie, Y and Zeng, W (2020) Human Error Identification and Analysis for Shield Machine Operation Using an Adapted TRACEr Method. Journal of Construction Engineering and Management, 146(08).
Ryu, J, Alwasel, A, Haas, C T and Abdel-Rahman, E (2020) Analysis of Relationships between Body Load and Training, Work Methods, and Work Rate: Overcoming the Novice Mason’s Risk Hump. Journal of Construction Engineering and Management, 146(08).
Sonmez, R, Aminbakhsh, S and Atan, T (2020) Activity Uncrashing Heuristic with Noncritical Activity Rescheduling Method for the Discrete Time-Cost Trade-Off Problem. Journal of Construction Engineering and Management, 146(08).
Tan, T, Lu, W, Tan, G, Xue, F, Chen, K, Xu, J, Wang, J and Gao, S (2020) Construction-Oriented Design for Manufacture and Assembly Guidelines. Journal of Construction Engineering and Management, 146(08).
Yin, X, Chen, Y, Bouferguene, A, Zaman, H, Al-Hussein, M and Russell, R (2020) Data-Driven Framework for Modeling Productivity of Closed-Circuit Television Recording Process for Sewer Pipes. Journal of Construction Engineering and Management, 146(08).
Zhan, W and Pan, W (2020) Formulating Systemic Construction Productivity Enhancement Strategies. Journal of Construction Engineering and Management, 146(08).
Zhang, R P, Lingard, H and Oswald, D (2020) Impact of Supervisory Safety Communication on Safety Climate and Behavior in Construction Workgroups. Journal of Construction Engineering and Management, 146(08).
Zheng, J, Wen, Q and Qiang, M (2020) Understanding Demand for Project Manager Competences in the Construction Industry: Data Mining Approach. Journal of Construction Engineering and Management, 146(08).
- Type: Journal Article
- Keywords: Project manager competences; Construction industry; Data mining; Industry demand;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001865
- Abstract:
Construction project managers (CPMs) are highly in demand in the construction industry, but this has not yet comprehensively been studied from a demand-side perspective. This study investigated the real-world demand for CPMs’ competences by mining the big data of job advertisements. Using a large data set of 243,521 job advertisements that covered nearly the whole online job market for CPMs in China over 1 year, we tracked the demands for CPM competences at the industry level. A structural topic model (STM), a text-mining method, was used to analyze the descriptions of the CPM competences requirements to identify the major competences dimensions emphasized in the advertisements. The results suggest that there are eight major competences dimensions that recruiters expect from CPMs. Compared with relatively smaller firms, larger firms place more emphasis on construction site management, project objective monitoring, and organizational management capability. Compared with public firms, private firms prefer coordination and communication, external stakeholder management, and organizational management capability. Cluster analysis of job advertisements further suggested that there are five major types of CPMs, each of which specializes in only a few competences instead of being competent in all aspects. These findings revealed the real-world demands for CPMs and provided theoretical implications for developing a CPM competences framework from a realistic demand-side perspective. The findings also can be utilized to assist construction firms in formulating more-informed recruiting strategies and to help practitioners benchmark their own competences with industry demands.
Zhu, L, Cheung, S O, Gao, X, Li, Q and Liu, G (2020) Success DNA of a Record-Breaking Megaproject. Journal of Construction Engineering and Management, 146(08).