Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19427
Title: Identification of key performance indicators for measuring the performance of value management studies in construction
Authors: Lin, G
Shen, GQ 
Sun, M
Kelly, J
Keywords: Measurement
Performance characteristics
Questionnaires
Value engineering
Issue Date: 2011
Source: Journal of construction engineering and management, 2011, v. 137, no. 9, p. 698-706 How to cite?
Journal: Journal of Construction Engineering and Management 
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.
URI: http://hdl.handle.net/10397/19427
ISSN: 0733-9364
DOI: 10.1061/(ASCE)CO.1943-7862.0000348
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