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Canales, A R, Arbelaez, M, Vasquez, E, Aveiga, F, Strong, K, Walters, R, Jaselskis, E J and Jahren, C T (2009) Exploring Training Needs and Development of Construction Language Courses for American Supervisors and Hispanic Craft Workers. Journal of Construction Engineering and Management, 135(05), 387–96.

Dai, J, Goodrum, P M, Maloney, W F and Srinivasan, C (2009) Latent Structures of the Factors Affecting Construction Labor Productivity. Journal of Construction Engineering and Management, 135(05), 397–406.

  • Type: Journal Article
  • Keywords: Productivity; Labor; Construction sites; Construction management;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2009)135:5(397)
  • Abstract:
    At any moment in time, a multitude of factors simultaneously impact construction productivity. Utilizing the knowledge of thousands of construction craft workers, the writers quantitatively analyzed the underlying structure of the factors affecting construction productivity and identified which factors the craft workers consider to be more relatively important as well. This research identified 83 factors affecting construction labor productivity through 18 focus groups with craft workers and their immediate supervisors on nine jobsites throughout the U.S. Next, a nationwide survey was administered to 1,996 craft workers to assess the impact of these factors on construction labor productivity. Principal factor analyses identified 10 latent factors to represent the underlying structure of 83 productivity factors. In addition, the relative importance of the factors’ impact on construction productivity was examined based on the crafts’ union status, trade, and position (craft worker versus foreman). The writers also compared their results to similar previous efforts, and more importantly, identified significant differences that may impact future productivity improvement strategies. This research will help industry and the research community better understand the factors affecting construction labor productivity and more effectively direct future efforts to improve its performance.

Hegab, M and Smith, G R (2009) Labor Performance Analysis for Microtunneling Projects. Journal of Construction Engineering and Management, 135(05), 432–5.

Hinze, J and Olbina, S (2009) Empirical Analysis of the Learning Curve Principle in Prestressed Concrete Piles. Journal of Construction Engineering and Management, 135(05), 425–31.

Hwang, S (2009) Dynamic Regression Models for Prediction of Construction Costs. Journal of Construction Engineering and Management, 135(05), 360–7.

Jang, W and Skibniewski, M J (2009) Cost-Benefit Analysis of Embedded Sensor System for Construction Materials Tracking. Journal of Construction Engineering and Management, 135(05), 378–86.

Lewis, P, Rasdorf, W, Frey, H C, Pang, S and Kim, K (2009) Requirements and Incentives for Reducing Construction Vehicle Emissions and Comparison of Nonroad Diesel Engine Emissions Data Sources. Journal of Construction Engineering and Management, 135(05), 341–51.

Lucko, G and Peña Orozco, A A (2009) Float Types in Linear Schedule Analysis with Singularity Functions. Journal of Construction Engineering and Management, 135(05), 368–77.

Mao, X, Zhang, X and AbouRizk, S M (2009) Enhancing Value Engineering Process by Incorporating Inventive Problem-Solving Techniques. Journal of Construction Engineering and Management, 135(05), 416–24.

Mitropoulos, P and Cupido, G (2009) Safety as an Emergent Property: Investigation into the Work Practices of High-Reliability Framing Crews. Journal of Construction Engineering and Management, 135(05), 407–15.

Moynihan, G, Zhou, H and Cui, Q (2009) Stochastic Modeling for Pavement Warranty Cost Estimation. Journal of Construction Engineering and Management, 135(05), 352–9.