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Ahadzie, D K, Proverbs, D G and Olomolaiye, P O (2008) Model for Predicting the Performance of Project Managers at the Construction Phase of Mass House Building Projects. Journal of Construction Engineering and Management, 134(08), 618–29.

Easa, S M and Hossain, K M A (2008) New Mathematical Optimization Model for Construction Site Layout. Journal of Construction Engineering and Management, 134(08), 653–62.

Giritli, H and Civan, I (2008) Personality Study of Construction Professionals in the Turkish Construction Industry. Journal of Construction Engineering and Management, 134(08), 630–4.

Hegazy, T and Menesi, W (2008) Delay Analysis under Multiple Baseline Updates. Journal of Construction Engineering and Management, 134(08), 575–82.

Imriyas, K, Low, S P, Teo, A L and Chan, S L (2008) Premium-Rating Model for Workers’ Compensation Insurance in Construction. Journal of Construction Engineering and Management, 134(08), 601–17.

Kataoka, M (2008) Automated Generation of Construction Plans from Primitive Geometries. Journal of Construction Engineering and Management, 134(08), 592–600.

Koo, D and Ariaratnam, S T (2008) Application of a Sustainability Model for Assessing Water Main Replacement Options. Journal of Construction Engineering and Management, 134(08), 563–74.

Leung, M, Chan, Y and Olomolaiye, P (2008) Impact of Stress on the Performance of Construction Project Managers. Journal of Construction Engineering and Management, 134(08), 644–52.

Leung, M, Chan, Y, Chong, A and Sham, J F (2008) Developing Structural Integrated Stressor–Stress Models for Clients’ and Contractors’ Cost Engineers. Journal of Construction Engineering and Management, 134(08), 635–43.

  • Type: Journal Article
  • Keywords: Contractors; Cost control; Construction management; Client relationships;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2008)134:8(635)
  • Abstract:
    Estimation is not a purely scientific task. It requires cost engineers equipped with a wide knowledge of construction and a professional ability to make judgments. However, stress will deaden their use of knowledge and influence their professional judgment in estimating. In the construction industry, cost engineers can generally be divided into two main groups: clients’ cost engineers in consultant firms or in a development company who serve clients; and contractors’ cost engineers in construction companies working for the contractors. This study investigates the causal relationships between the stressors and stress of clients’ and contractors’ cost engineers. Two stressor–stress integrated models were developed for these two cost engineer groups by using the structural equation model. The findings revealed some stressors that affected both clients’ and contractors’ cost engineers: (1) poor environment, role conflict and work underload affect their stress positively; (2) social support and Type A behavior affect their stress negatively; and (3) work underload induces stress via the role conflict among cost engineers, their supervisors, and the organization. On the other hand, some deviations between these two groups of cost engineers also occur: (1) social support acts as a source of stressors of clients’ cost engineers; (2) a private life stressor only affects the stress of contractors’ cost engineers; and (3) a closed interactive looping relationship among role conflict, Type A behavior, and work underload affects contractors’ cost engineers. Based on the results of this study, some recommendations are suggested to manage cost engineers’ stress well.

Walters, R, Jaselskis, E, Zhang, J, Mueller, K and Kaewmoracharoen, M (2008) Using Scanning Lasers to Determine the Thickness of Concrete Pavement. Journal of Construction Engineering and Management, 134(08), 583–91.