TECHNICAL PAPERS
Jan 8, 2011

Identification of Key Performance Indicators for Measuring the Performance of Value Management Studies in Construction

Publication: Journal of Construction Engineering and Management
Volume 137, Issue 9

Abstract

Value management (VM) is widely regarded as a useful tool for management to meet the challenges, such as limited resources and tight schedules arising in the construction industry. A rigorous measurement on the performance of VM studies is likely to improve the implementation of the VM methodology and enhance the confidence of clients about their investment in VM. The identification of key performance indicators (KPIs) is an essential first step in developing a proper performance measurement framework. This paper aims to identify the KPIs for measuring the performance of VM studies in construction. Delegates of international VM conferences hosted by SAVE International and Hong Kong Institute of Value Management during the period 2005 to 2007 were used as the target group for a questionnaire survey. The survey results identified 18 KPIs out of 47 potential performance indicators. They are divided into three groups: predicting indicators, process-related indicators, and outcome-related indicators, according to their characteristics. Three principal components were identified by using factor analysis of the KPIs, which reveals the interrelationship among the KPIs. Details on how to implement these KPIs, such as data providers, weightings, and scoring methods, are also presented.

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Acknowledgments

The work described in this paper was substantially supported by grants from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. PolyU UNSPECIFIED5161/04E).

References

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Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 137Issue 9September 2011
Pages: 698 - 706

History

Received: Jun 10, 2008
Accepted: Jan 6, 2011
Published online: Jan 8, 2011
Published in print: Sep 1, 2011

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Authors

Affiliations

Gongbo Lin
Project Fellow, Dept. of Building and Real Estate, The Hong Kong Polytechnic Univ.
Geoffrey Qiping Shen, M.ASCE [email protected]
Chair Professor, Head of Dept., Dept. of Building and Real Estate, The Hong Kong Polytechnic Univ. (corresponding author). E-mail: [email protected]
Ming Sun
Professor, School of the Built and Natural Environment, Univ. of the West England.
John Kelly
Professor, Axoss Ltd, 8 Pilgrims Hill, Linlithgow, Scotland, U.K.

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