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Alhozaimy, A M and Al-Negheimish, A I (1999) Introducing and Managing Quality Scheme for RMC Industry in Saudi Arabia. Journal of Construction Engineering and Management, 125(04), 249–55.
Bing, L, Tiong, R L, Fan, W W and Chew, D A (1999) Risk Management in International Construction Joint Ventures. Journal of Construction Engineering and Management, 125(04), 277–84.
Chan, E H W and Chan, A T S (1999) Imposing ISO 9000 Quality Assurance System on Statutory Agents in Hong Kong. Journal of Construction Engineering and Management, 125(04), 285–91.
Dulaimi, M F and Langford, D (1999) Job Behavior of Construction Project Managers: Determinants and Assessment. Journal of Construction Engineering and Management, 125(04), 256–64.
El-Razek, M E A (1999) New Method for Construction of Diaphragm Walls. Journal of Construction Engineering and Management, 125(04), 233–41.
Hanna, A S, Russell, J S, Nordheim, E V and Bruggink, M J (1999) Impact of Change Orders on Labor Efficiency for Electrical Construction. Journal of Construction Engineering and Management, 125(04), 224–32.
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)0733-9364(1999)125:4(224)
- Abstract:
Change orders are a source of many disputes in today's construction industry. The issue at hand is whether or not the execution of change orders work has a negative impact on overall labor efficiency on a construction project. Previous literature demonstrates evidence that change orders affect labor efficiency. Attempts have been made to quantify these impacts by many researchers, with limited success. Using the electrical construction industry, a research study has been conducted to quantify the impacts of change orders on labor efficiency. In this paper, results of hypothesis testing and regression analysis are presented. A linear regression model that estimates the loss of efficiency, based on a number of independent variables, is also presented. The independent variables used in this model are (1) qualitative and quantitative criteria used to determine whether projects are impacted by changes or not; (2) the estimate of change order hours for the project as a percentage of the original estimate of work hours; (3) the estimate of change order hours for the project; and (4) the total number of years that the project manager had worked in the construction industry. Additional projects were used to validate the model, with an average error rate of 5%. The results of this research study are useful for owners, construction managers, general contractors, and electrical specialty contractors, because they provide a means to estimate the impact of a change order under certain project conditions. This research also identifies factors, which, when understood and effectively managed, may be used to mitigate the impact of a change order on project costs and efficiency.
Kululanga, G K, McCaffer, R, Price, A D F and Edum-Fotwe, F (1999) Learning Mechanisms Employed by Construction Contractors. Journal of Construction Engineering and Management, 125(04), 215–23.
Martinez, J C and Ioannou, P G (1999) General-Purpose Systems for Effective Construction Simulation. Journal of Construction Engineering and Management, 125(04), 265–76.
Pregenzer, L J, Seppanen, P J, Kunz, J C and Paulson, B C (1999) Value-Added Assessment of Construction Plans. Journal of Construction Engineering and Management, 125(04), 242–8.