Identification of key performance indicators for measuring the performance of value management studies in construction

Lin, Gongbo; Shen, Geoffrey Qiping; Sun, Ming; Kelly, John

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. © 2011 American Society of Civil Engineers.

• Journal Article Type: Article
• Publication Date: Sep 1, 2011
• Journal: Journal of Construction Engineering and Management
• Print ISSN: 0733-9364
• Electronic ISSN: 1943-7862
• Publisher: American Society of Civil Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 137
• Issue: 9
• Pages: 698-706
• DOI: https://doi.org/10.1061/%28ASCE%29CO.1943-7862.0000348
• Public URL: https://uwe-repository.worktribe.com/output/966089
• Publisher URL: http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000348