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    Mathematical Models for Predicting Organizational Flexibility of Construction Firms in Singapore

    Source: Journal of Construction Engineering and Management:;2012:;Volume ( 138 ):;issue: 003
    Author:
    Benson T. H. Lim
    ,
    Florence Y. Y. Ling
    ,
    C. William Ibbs
    ,
    Benny Raphael
    ,
    George Ofori
    DOI: 10.1061/(ASCE)CO.1943-7862.0000439
    Publisher: American Society of Civil Engineers
    Abstract: The ability to predict and develop organizational flexibility is important for firms to survive and prosper in volatile business environments. The aim of this study is to investigate the constituents of and the constructs for predicting organizational flexibility. The specific objectives are to ascertain the relative importance of different constituents of flexibility and to construct and validate mathematical models to predict organizational flexibility of Singaporean construction firms. The research was conducted by a questionnaire survey and data were collected by face-to-face interviews with 41 construction industry experts. Three mathematical models were developed and validated by using the structural equation modeling (SEM) technique. The validation data consisted of ratings provided by four subject matter experts whose data were not used in the model development. The results show that the mathematical model for predicting strategic flexibility is able to predict to a good level of accuracy. The models show that the cost leadership initiative and supply chain capabilities of firms are the most important factors driving organizational flexibility. It is recommended that construction industry practitioners use the mathematical models that were developed to make a preliminary assessment on their firm’s flexibility potential.
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      Mathematical Models for Predicting Organizational Flexibility of Construction Firms in Singapore

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    http://yetl.yabesh.ir/yetl1/handle/yetl/58601
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    contributor authorBenson T. H. Lim
    contributor authorFlorence Y. Y. Ling
    contributor authorC. William Ibbs
    contributor authorBenny Raphael
    contributor authorGeorge Ofori
    date accessioned2017-05-08T21:39:34Z
    date available2017-05-08T21:39:34Z
    date copyrightMarch 2012
    date issued2012
    identifier other%28asce%29co%2E1943-7862%2E0000445.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/58601
    description abstractThe ability to predict and develop organizational flexibility is important for firms to survive and prosper in volatile business environments. The aim of this study is to investigate the constituents of and the constructs for predicting organizational flexibility. The specific objectives are to ascertain the relative importance of different constituents of flexibility and to construct and validate mathematical models to predict organizational flexibility of Singaporean construction firms. The research was conducted by a questionnaire survey and data were collected by face-to-face interviews with 41 construction industry experts. Three mathematical models were developed and validated by using the structural equation modeling (SEM) technique. The validation data consisted of ratings provided by four subject matter experts whose data were not used in the model development. The results show that the mathematical model for predicting strategic flexibility is able to predict to a good level of accuracy. The models show that the cost leadership initiative and supply chain capabilities of firms are the most important factors driving organizational flexibility. It is recommended that construction industry practitioners use the mathematical models that were developed to make a preliminary assessment on their firm’s flexibility potential.
    publisherAmerican Society of Civil Engineers
    titleMathematical Models for Predicting Organizational Flexibility of Construction Firms in Singapore
    typeJournal Paper
    journal volume138
    journal issue3
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0000439
    treeJournal of Construction Engineering and Management:;2012:;Volume ( 138 ):;issue: 003
    contenttypeFulltext
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