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Cleveland, T G and Fashokun, A (2006) Construction-Associated Solids Loads with a Temporary Sediment Control BMP. Journal of Construction Engineering and Management, 132(10), 1122–5.

Doğan, S Z, Arditi, D and Günaydın, H M (2006) Determining Attribute Weights in a CBR Model for Early Cost Prediction of Structural Systems. Journal of Construction Engineering and Management, 132(10), 1092–8.

Kassab, M, Hipel, K and Hegazy, T (2006) Conflict Resolution in Construction Disputes Using the Graph Model. Journal of Construction Engineering and Management, 132(10), 1043–52.

Lapinski, A R, Horman, M J and Riley, D R (2006) Lean Processes for Sustainable Project Delivery. Journal of Construction Engineering and Management, 132(10), 1083–91.

Na, L J, Ofori, G and Park, M (2006) Stimulating Construction Innovation in Singapore through the National System of Innovation. Journal of Construction Engineering and Management, 132(10), 1069–82.

Perng, Y, Juan, Y and Chien, S (2006) Exploring the Bidding Situation for Economically Most Advantageous Tender Projects Using a Bidding Game. Journal of Construction Engineering and Management, 132(10), 1037–42.

Spielholz, P, Davis, G and Griffith, J (2006) Physical Risk Factors and Controls for Musculoskeletal Disorders in Construction Trades. Journal of Construction Engineering and Management, 132(10), 1059–68.

Srour, I M, Haas, C T and Borcherding, J D (2006) What Does the Construction Industry Value in Its Workers?. Journal of Construction Engineering and Management, 132(10), 1053–8.

  • Type: Journal Article
  • Keywords: Construction industry; Salaries; Employees; Regression analysis; Training;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2006)132:10(1053)
  • Abstract:
    This paper briefly characterizes today’s United States (U.S.) construction workforce, and attempts to provide evidence for what the construction industry most values in its workers. It presents the social and demographic characteristics of a sample of 862 construction workers, from 19 project sites that were interviewed in 2002, as part of a research effort at the University of Texas at Austin, and compares them with broader-based Bureau of Labor Statistics data to establish the degree to which they represent the U.S. construction workforce. Via statistical analysis, the paper explores the relationships between workers’ attributes and how the industry compensates them as reflected in both hourly wages and average annual incomes. The statistical results reinforce what is known about the importance of years of experience; however, it also provides evidence of the importance of number of crafts each worker possessed, and computer knowledge. Less, but significant, evidence was obtained for the importance of the number of years spent with his/her current firm, craft training hours, age, or self-assessed performance.

Tang, C M, Leung, A Y and Lam, K C (2006) Entropy Application to Improve Construction Finance Decisions. Journal of Construction Engineering and Management, 132(10), 1099–113.

Yiu, T W, Cheung, S O and Mok, F M (2006) Logistic Likelihood Analysis of Mediation Outcomes. Journal of Construction Engineering and Management, 132(10), 1026–36.

Yu, J, Lee, H and Kim, W (2006) Evaluation Model for Information Systems Benefits in Construction Management Processes. Journal of Construction Engineering and Management, 132(10), 1114–21.