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Alhumaidi, H M (2015) Construction Contractors Ranking Method Using Multiple Decision-Makers and Multiattribute Fuzzy Weighted Average. Journal of Construction Engineering and Management, 141(04).

Barry, W, Leite, F and O’Brien, W J (2015) Late Deliverable Risk Catalog: Evaluating the Impacts and Risks of Late Deliverables to Construction Sites. Journal of Construction Engineering and Management, 141(04).

Birgonul, M T, Dikmen, I and Bektas, S (2015) Integrated Approach to Overcome Shortcomings in Current Delay Analysis Practices. Journal of Construction Engineering and Management, 141(04).

Cao, M, Cheng, M and Wu, Y (2015) Hybrid Computational Model for Forecasting Taiwan Construction Cost Index. Journal of Construction Engineering and Management, 141(04).

Dharmapalan, V, Gambatese, J A, Fradella, J and Moghaddam Vahed, A (2015) Quantification and Assessment of Safety Risk in the Design of Multistory Buildings. Journal of Construction Engineering and Management, 141(04).

Liu, J, Love, P E D, Sing, M C P, Carey, B and Matthews, J (2015) Modeling Australia’s Construction Workforce Demand: Empirical Study with a Global Economic Perspective. Journal of Construction Engineering and Management, 141(04).

  • Type: Journal Article
  • Keywords: Construction workforce demand; Global economic turbulence; Vector error correction (VEC) model; Labor and Personnel Issues;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000953
  • Abstract:
    Workforce planning is vital for implementing strategic human resource planning. A causal model that incorporates a global economic perspective is derived in this paper by undertaking a detailed review of the normative literature and empirically estimated by a vector error correction (VEC) model. The reliability of the developed VEC model is validated by using several tests (e.g., Lagrange multiplier test, White’s test, and Jarque-Bera test), all of which indicate that the proposed models are able to forecast construction workforce demand in the context of global economic turbulence. This paper contributes to the literature by systematically developing advanced models that not only model construction workforce demand, but also examine the impact of the global economic climate on the labor market. It provides policy makers with a practical tool and insight into future workforce demand, which serves to assist to launch an effective human resources strategy in the construction industry.

Vogl, B and Abdel-Wahab, M (2015) Measuring the Construction Industry’s Productivity Performance: Critique of International Productivity Comparisons at Industry Level. Journal of Construction Engineering and Management, 141(04).

Wanberg, J, Javernick-Will, A, Chinowsky, P and Taylor, J E (2015) Spanning Cultural and Geographic Barriers with Knowledge Pipelines in Multinational Communities of Practice. Journal of Construction Engineering and Management, 141(04).

Wauters, M and Vanhoucke, M (2015) Study of the Stability of Earned Value Management Forecasting. Journal of Construction Engineering and Management, 141(04).