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Chih, Y, Kiazad, K, Zhou, L, Capezio, A, Li, M and D. Restubog, S L (2016) Investigating Employee Turnover in the Construction Industry: A Psychological Contract Perspective. Journal of Construction Engineering and Management, 142(06).

Du, J, Kim, B and Zhao, D (2016) Cost Performance as a Stochastic Process: EAC Projection by Markov Chain Simulation. Journal of Construction Engineering and Management, 142(06).

Jung, M, Park, M, Lee, H and Kim, H (2016) Weather-Delay Simulation Model Based on Vertical Weather Profile for High-Rise Building Construction. Journal of Construction Engineering and Management, 142(06).

Liu, J, Zhao, X and Yan, P (2016) Risk Paths in International Construction Projects: Case Study from Chinese Contractors. Journal of Construction Engineering and Management, 142(06).

Love, P E D, Edwards, D J and Smith, J (2016) Rework Causation: Emergent Theoretical Insights and Implications for Research. Journal of Construction Engineering and Management, 142(06).

Lu, W, Zhang, L and Zhang, L (2016) Effect of Contract Completeness on Contractors’ Opportunistic Behavior and the Moderating Role of Interdependence. Journal of Construction Engineering and Management, 142(06).

Shen, X, Marks, E, Pradhananga, N and Cheng, T (2016) Hazardous Proximity Zone Design for Heavy Construction Excavation Equipment. Journal of Construction Engineering and Management, 142(06).

Siu, M F, Lu, M, AbouRizk, S and Tidder, V (2016) Quantitative Assessment of Budget Sufficiency and Resource Utilization for Resource-Constrained Project Schedules. Journal of Construction Engineering and Management, 142(06).

Vashani, H, Sullivan, J and El Asmar, M (2016) DB 2020: Analyzing and Forecasting Design-Build Market Trends. Journal of Construction Engineering and Management, 142(06).

  • Type: Journal Article
  • Keywords: Alternative project delivery methods; Clustering; Design-build (DB);
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001113
  • Abstract:
    A leading engineering and construction industry magazine has been collecting revenue data from construction firms and publishes the list of the 100 largest design-build (DB) firms every year. According to this magazine and many technical articles, DB has grown drastically over the last decade; however, information about growth trends for different firm sizes is lacking. Also missing is a forecast of future market trends over the next five years. Using revenue data from the top 100 DB firms, the authors have divided the firms into subsets, using k-means clustering, and analyzed the growth rates of each subset compared with the average of the top 100 DB firms as a whole. Whereas the results show increasing market share only for the largest firms, the authors have found that: (1) a large portion of this growth is occurring in international markets; and (2) all subsets of the top 100 DB firms have increased revenues over the past decade. Regression and time-series analyses allowed for the forecasting of the top 100 DB firms’ revenue growth, which the authors anticipate to increase by approximately 50% to nearly US$150 billion in 2020. This paper contributes to the construction engineering and management body of knowledge by (1) analyzing the DB market data using statistical clustering techniques to uncover differences in behavior for firms of different sizes, for the first time; and (2) forecasting DB market trends on the basis of these new findings. These contributions can help public agencies see how DB firms of all sizes are growing, while also understanding how international markets are driving the faster growth rate of larger DB firms. Additionally, the contributions of this paper can help DB practitioners anticipate market changes, on the basis of their firm’s size, and strategically plan their firms’ growth accordingly.

Zhang, S, Zhang, S, Gao, Y and Ding, X (2016) Contractual Governance: Effects of Risk Allocation on Contractors’ Cooperative Behavior in Construction Projects. Journal of Construction Engineering and Management, 142(06).