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contributor authorGongbo Lin
contributor authorGeoffrey Qiping Shen
contributor authorMing Sun
contributor authorJohn Kelly
date accessioned2017-05-08T21:39:24Z
date available2017-05-08T21:39:24Z
date copyrightSeptember 2011
date issued2011
identifier other%28asce%29co%2E1943-7862%2E0000355.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/58506
description abstractValue 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.
publisherAmerican Society of Civil Engineers
titleIdentification of Key Performance Indicators for Measuring the Performance of Value Management Studies in Construction
typeJournal Paper
journal volume137
journal issue9
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)CO.1943-7862.0000348
treeJournal of Construction Engineering and Management:;2011:;Volume ( 137 ):;issue: 009
contenttypeFulltext


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