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Dunston, P S and Wang, X (2005) Mixed Reality-Based Visualization Interfaces for Architecture, Engineering, and Construction Industry. Journal of Construction Engineering and Management, 131(12), 1301–9.

El-Rayes, K and Hyari, K (2005) Optimal Lighting Arrangements for Nighttime Highway Construction Projects. Journal of Construction Engineering and Management, 131(12), 1292–300.

Ibbs, W and Liu, M (2005) Improved Measured Mile Analysis Technique. Journal of Construction Engineering and Management, 131(12), 1249–56.

Irizarry, J, Simonsen, K L and Abraham, D M (2005) Effect of Safety and Environmental Variables on Task Durations in Steel Erection. Journal of Construction Engineering and Management, 131(12), 1310–9.

Lee, E, Harvey, J T and Thomas, D (2005) Integrated Design/Construction/Operations Analysis for Fast-Track Urban Freeway Reconstruction. Journal of Construction Engineering and Management, 131(12), 1283–91.

Nassar, K M, Gunnarsson, H G and Hegab, M Y (2005) Using Weibull Analysis for Evaluation of Cost and Schedule Performance. Journal of Construction Engineering and Management, 131(12), 1257–62.

Navon, R and Berkovich, O (2005) Development and On-Site Evaluation of an Automated Materials Management and Control Model. Journal of Construction Engineering and Management, 131(12), 1328–36.

Pulaski, M H and Horman, M J (2005) Continuous Value Enhancement Process. Journal of Construction Engineering and Management, 131(12), 1274–82.

Shapira, A and Goldenberg, M (2005) AHP-Based Equipment Selection Model for Construction Projects. Journal of Construction Engineering and Management, 131(12), 1263–73.

Uwakweh, B O (2005) Effect of Foremen on Construction Apprentice. Journal of Construction Engineering and Management, 131(12), 1320–7.

  • Type: Journal Article
  • Keywords: Labor; Employees; Personnel management; Supervision; Construction industry;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:12(1320)
  • Abstract:
    Construction apprentices in a Midwestern city were surveyed to find out their perceptions on their foremen. Based on the analysis of our data, seven foreman factor scales were identified. These scales are: Performance Improvement, Work Facilitation, Achievement Orientation, Support, Work Participation, Bias, and Recognition. These dimensions have varying relationships with motivation and performance of the construction apprentice. These dimensions provide important issues that need to be addressed in developing foremen training programs and in particular how they affect apprentice. Further research may encompass various segments of the construction industry to analyze motivation of craft workers.