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Abudayyeh, O, Federicks, T, Palmquist, M and Torres, H N (2003) Analysis of Occupational Injuries and Fatalities in Electrical Contracting Industry. Journal of Construction Engineering and Management, 129(02), 152–8.
Ammar, A, Hanna, A S, Nordheim, E V and Russell, J S (2003) Indicator Variables Model of Firm’s Size-Profitability Relationship of Electrical Contractors Using Financial and Economic Data. Journal of Construction Engineering and Management, 129(02), 192–7.
Brown, D C (2003) Novel Method of Excavation. Journal of Construction Engineering and Management, 129(02), 222–5.
Brunso, T P and Siddiqi, K M (2003) Using Benchmarks and Metrics to Evaluate Project Delivery of Environmental Restoration Programs. Journal of Construction Engineering and Management, 129(02), 119–30.
Chua, D K H, Wang, Y and Tan, W T (2003) Impacts of Obstacles in East Asian Cross-Border Construction. Journal of Construction Engineering and Management, 129(02), 131–41.
Cox, R F, Issa, R R A and Ahrens, D (2003) Management’s Perception of Key Performance Indicators for Construction. Journal of Construction Engineering and Management, 129(02), 142–51.
- Type: Journal Article
- Keywords: Performance evaluation; Productivity; Project management; Construction industry; performance evaluation; project engineering; project management; construction industry;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)0733-9364(2003)129:2(142)
- Abstract:
There is a great need in the construction industry for identifying a set of common indicators to be used by construction executive and project managers in measuring construction performance at the project level. The focus of this research was to collect management perceptions of the key performance indicators currently utilized in the construction industry. Both quantitative performance indicators and qualitative performance indicators are represented. A literature search was used to generate the initial set of perceived key performance indicators, which were administered to the construction industry via a survey. A statistical analysis of the collected survey responses provided information for the identification of a common set of perceived Key Performance Indicators (KPIs) by construction sector, management level, and experience level. Correlations were performed for both the quantitative and qualitative indicators to determine which type of indicator is used most extensively. Basic statistical analyses and frequency distributions provided evidence in support of some of the hypotheses of the research. The results of the survey data analysis support the hypothesis that KPIs vary according to management’s perspective. Further analysis displayed a substantial difference between construction executive and project management’s perceptions. However, six indicators were reported as being most useful by every segment of the construction industry involved in this study. The correlation between quantitative indicators and qualitative indicators proved to be inconclusive.
Elliott, M E and Heymsfield, E (2003) Inspection of Luling Bridge Cable Stays: Case Study. Journal of Construction Engineering and Management, 129(02), 226–30.
Hinze, J and Gambatese, J (2003) Factors That Influence Safety Performance of Specialty Contractors. Journal of Construction Engineering and Management, 129(02), 159–64.
Maloney, W F (2003) Labor-Management Cooperation and Customer Satisfaction. Journal of Construction Engineering and Management, 129(02), 165–72.
Marzouk, M and Moselhi, O (2003) Object-oriented Simulation Model for Earthmoving Operations. Journal of Construction Engineering and Management, 129(02), 173–81.
Palaneeswaran, E and Kumaraswamy, M M (2003) Knowledge Mining of Information Sources for Research in Construction Management. Journal of Construction Engineering and Management, 129(02), 182–91.
Schaufelberger, J E and Wipadapisut, I (2003) Alternate Financing Strategies for Build-Operate-Transfer Projects. Journal of Construction Engineering and Management, 129(02), 205–13.
Shi, J J and Halpin, D W (2003) Enterprise Resource Planning for Construction Business Management. Journal of Construction Engineering and Management, 129(02), 214–21.
Trost, S M and Oberlender, G D (2003) Predicting Accuracy of Early Cost Estimates Using Factor Analysis and Multivariate Regression. Journal of Construction Engineering and Management, 129(02), 198–204.