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Chan, I Y S, Leung, M and Yu, S S W (2012) Managing the Stress of Hong Kong Expatriate Construction Professionals in Mainland China: Focus Group Study Exploring Individual Coping Strategies and Organizational Support. Journal of Construction Engineering and Management, 138(10), 1150–60.

Chang, A S, Du, S and Shen, F (2012) Engineer Self-Evaluation Checklist for Effective Site Visits. Journal of Construction Engineering and Management, 138(10), 1220–9.

Chow, P T, Kong, F and Cheung, S O (2012) Mediating and Moderating Effect of Tension on Withdrawal-Commitment Relationship in Construction Dispute Negotiation. Journal of Construction Engineering and Management, 138(10), 1230–8.

Ding, Z, Ng, F, Wang, J and Zou, L (2012) Distinction between Team-Based Self-Esteem and Company-Based Self-Esteem in the Construction Industry. Journal of Construction Engineering and Management, 138(10), 1212–9.

Lin, Y, Wu, D, Wang, X, Wang, X and Gao, S (2012) Statics-Based Simulation Approach for Two-Crane Lift. Journal of Construction Engineering and Management, 138(10), 1139–49.

Mitropoulos, P and Memarian, B (2012) Team Processes and Safety of Workers: Cognitive, Affective, and Behavioral Processes of Construction Crews. Journal of Construction Engineering and Management, 138(10), 1181–91.

Praticò, F G, Antonio, C and Domenico, T (2012) Influence of Dispersion and Location on Pay Adjustment in Construction Engineering. Journal of Construction Engineering and Management, 138(10), 1125–30.

Sing, C, Love, P E D and Tam, C M (2012) Multiplier Model for Forecasting Manpower Demand. Journal of Construction Engineering and Management, 138(10), 1161–8.

  • Type: Journal Article
  • Keywords: Forecasting; Labor; Construction management; Hong Kong; Forecasting; Manpower demand; Labor multiplier; Distributed lag model;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000529
  • Abstract:
    To better manage and forecast the demand for labor in the construction industry, a mathematical model is developed using a distributed lag model and labor multiplier approach. The model is tested using economic statistics and manpower data derived from Hong Kong construction projects. The model can be used by public and private sectors to forecast future labor demand so that an optimal workforce can be attained.

Tabish, S Z S and Jha, K N (2012) Success Traits for a Construction Project. Journal of Construction Engineering and Management, 138(10), 1131–8.

Wambeke, B W, Liu, M and Hsiang, S M (2012) Using Pajek and Centrality Analysis to Identify a Social Network of Construction Trades. Journal of Construction Engineering and Management, 138(10), 1192–201.

Wong, P S P and Lam, K Y (2012) Facing Turbulence: Driving Force for Construction Organizations to Regain Unlearning and Learning Traction. Journal of Construction Engineering and Management, 138(10), 1202–11.

Yasamis-Speroni, F, Lee, D and Arditi, D (2012) Evaluating the Quality Performance of Pavement Contractors. Journal of Construction Engineering and Management, 138(10), 1114–24.

Zhou, Z, Li, Q and Wu, W (2012) Developing a Versatile Subway Construction Incident Database for Safety Management. Journal of Construction Engineering and Management, 138(10), 1169–80.