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Adeleye, T, Huang, M, Huang, Z and Sun, L (2013) Predicting Loss for Large Construction Companies. Journal of Construction Engineering and Management, 139(09), 1224–36.
Alsamadani, R, Hallowell, M R, Javernick-Will, A and Cabello, J (2013) Relationships among Language Proficiency, Communication Patterns, and Safety Performance in Small Work Crews in the United States. Journal of Construction Engineering and Management, 139(09), 1125–34.
Cruz, C O and Marques, R C (2013) Exogenous Determinants for Renegotiating Public Infrastructure Concessions: Evidence from Portugal. Journal of Construction Engineering and Management, 139(09), 1082–90.
Damci, A, Arditi, D and Polat, G (2013) Multiresource Leveling in Line-of-Balance Scheduling. Journal of Construction Engineering and Management, 139(09), 1108–16.
Franz, B W, Leicht, R M and Riley, D R (2013) Project Impacts of Specialty Mechanical Contractor Design Involvement in the Health Care Industry: Comparative Case Study. Journal of Construction Engineering and Management, 139(09), 1091–7.
Hanna, A S, Thomas, G and Swanson, J R (2013) Construction Risk Identification and Allocation: Cooperative Approach. Journal of Construction Engineering and Management, 139(09), 1098–107.
Hegazy, T, Abdel-Monem, M, Saad, D A and Rashedi, R (2013) Hands-On Exercise for Enhancing Students’ Construction Management Skills. Journal of Construction Engineering and Management, 139(09), 1135–43.
Hollar, D A, Rasdorf, W, Liu, M, Hummer, J E, Arocho, I and Hsiang, S M (2013) Preliminary Engineering Cost Estimation Model for Bridge Projects. Journal of Construction Engineering and Management, 139(09), 1259–67.
Jafari, A and Love, P E D (2013) Quality Costs in Construction: Case of Qom Monorail Project in Iran. Journal of Construction Engineering and Management, 139(09), 1244–9.
Jin, Z, Deng, F, Li, H and Skitmore, M (2013) Practical Framework for Measuring Performance of International Construction Firms. Journal of Construction Engineering and Management, 139(09), 1154–67.
Li, J, Chiang, Y H, Choi, T N Y and Man, K F (2013) Determinants of Efficiency of Contractors in Hong Kong and China: Panel Data Model Analysis. Journal of Construction Engineering and Management, 139(09), 1211–23.
Liu, J Y, Zou, P X W and Gong, W (2013) Managing Project Risk at the Enterprise Level: Exploratory Case Studies in China. Journal of Construction Engineering and Management, 139(09), 1268–74.
Marzouk, M and Amin, A (2013) Predicting Construction Materials Prices Using Fuzzy Logic and Neural Networks. Journal of Construction Engineering and Management, 139(09), 1190–8.
Menesi, W, Golzarpoor, B and Hegazy, T (2013) Fast and Near-Optimum Schedule Optimization for Large-Scale Projects. Journal of Construction Engineering and Management, 139(09), 1117–24.
Shahandashti, S M and Ashuri, B (2013) Forecasting {[}Engineering News-Record{]} Construction Cost Index Using Multivariate Time Series Models. Journal of Construction Engineering and Management, 139(09), 1237–43.
Sunindijo, R Y and Zou, P X W (2013) Conceptualizing Safety Management in Construction Projects. Journal of Construction Engineering and Management, 139(09), 1144–53.
- Type: Journal Article
- Keywords: Construction management; Project management; Personnel management; Occupational safety; Conceptual skill; Construction safety; Project management personnel; Safety climate; Safety management tasks; Labor and personnel issues;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000711
- Abstract:
In construction projects, the management team needs to conceptualize the management of safety in order to foster a strong safety culture. The aim of this research is to investigate what constitutes project management personnel’s conceptual skill and how this skill can be developed and applied in the context of construction safety. To achieve this aim, a conceptual skill questionnaire was developed, validated, and used to collect data in which 273 sets of valid responses were received. Factor analysis of the collected data found two components of conceptual skill important to construction safety: visioning, and scoping and integration. Based on this, a theoretical model was derived and analyzed using a structural equation modeling (SEM) method to demonstrate the influence of conceptual skill on construction safety. The results showed that conceptual skill helps project management personnel implement safety management tasks, which in turn promotes an onsite safety climate. Thereafter, interviews were conducted with experienced personnel to confirm the SEM results and to recommend skill development approaches, which include lifelong learning, learning in practice, intrinsic motivation, and specific training programs. Theoretically, this research advances the existing body of knowledge on conceptual skill by providing empirical evidence of its contribution to improve construction safety. Practically, this research suggests that construction organizations recognize the importance of project management personnel’s conceptual skill for managing construction safety and provide relevant training opportunities for them to improve the skill.
Tas, E, Cakmak, P I and Levent, H (2013) Determination of Behaviors in Building Product Information Acquisition for Developing a Building Product Information System in Turkey. Journal of Construction Engineering and Management, 139(09), 1250–8.
Wang, S, Tang, W and Li, Y (2013) Relationship between Owners’ Capabilities and Project Performance on Development of Hydropower Projects in China. Journal of Construction Engineering and Management, 139(09), 1168–78.
Xie, J and Thomas Ng, S (2013) Multiobjective Bayesian Network Model for Public-Private Partnership Decision Support. Journal of Construction Engineering and Management, 139(09), 1069–81.
Yorucu, V (2013) Construction in an Open Economy: Autoregressive Distributed Lag Modeling Approach and Causality Analysis—Case of North Cyprus. Journal of Construction Engineering and Management, 139(09), 1199–210.
Zhao, X, Hwang, B and Low, S P (2013) Developing Fuzzy Enterprise Risk Management Maturity Model for Construction Firms. Journal of Construction Engineering and Management, 139(09), 1179–89.