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

    Source: Journal of Construction Engineering and Management:;2011:;Volume ( 137 ):;issue: 009
    Author:
    Gongbo Lin
    ,
    Geoffrey Qiping Shen
    ,
    Ming Sun
    ,
    John Kelly
    DOI: 10.1061/(ASCE)CO.1943-7862.0000348
    Publisher: American Society of Civil Engineers
    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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      Identification of Key Performance Indicators for Measuring the Performance of Value Management Studies in Construction

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    http://yetl.yabesh.ir/yetl1/handle/yetl/58506
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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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