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    Governance of Learning Mechanisms: Evidence from Construction Firms

    Source: Journal of Construction Engineering and Management:;2012:;Volume ( 138 ):;issue: 009
    Author:
    Patrick S. W. Fong
    ,
    Le Chen
    DOI: 10.1061/(ASCE)CO.1943-7862.0000521
    Publisher: American Society of Civil Engineers
    Abstract: The focus of knowledge management (KM) in the construction industry is moving towards capability building for value creation. The study reported by this paper is motivated by recent assertions about the genesis and evolution of knowledge management capability (KMC) in the strategic management field. It attempts to shed light on the governance of learning mechanisms that develop KMC within the context of construction firms. A questionnaire survey was administered to a sample of construction contractors operating in the very dynamic Hong Kong market to elicit opinions on the learning mechanisms and business outcomes of targeted firms. On the basis of a total of 149 usable responses, structural equation modeling (SEM) analysis identified relationships among knowledge-governance mechanisms, knowledge processes, and business performance, thereby supporting the existence of strategic learning loops. The study findings provide evidence from the construction context for capability assertions that knowledge-governance mechanisms and processes form learning mechanisms that carry out strategic learning to create value, effect performance outcomes, and ultimately drive the evolution of KMC. The findings imply that it is feasible for managing construction firms to govern learning mechanisms through managing the capability-based holistic KM system, thereby reconfiguring KMC to match needs in the dynamic market environment over time.
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      Governance of Learning Mechanisms: Evidence from Construction Firms

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    http://yetl.yabesh.ir/yetl1/handle/yetl/58683
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    contributor authorPatrick S. W. Fong
    contributor authorLe Chen
    date accessioned2017-05-08T21:39:43Z
    date available2017-05-08T21:39:43Z
    date copyrightSeptember 2012
    date issued2012
    identifier other%28asce%29co%2E1943-7862%2E0000527.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/58683
    description abstractThe focus of knowledge management (KM) in the construction industry is moving towards capability building for value creation. The study reported by this paper is motivated by recent assertions about the genesis and evolution of knowledge management capability (KMC) in the strategic management field. It attempts to shed light on the governance of learning mechanisms that develop KMC within the context of construction firms. A questionnaire survey was administered to a sample of construction contractors operating in the very dynamic Hong Kong market to elicit opinions on the learning mechanisms and business outcomes of targeted firms. On the basis of a total of 149 usable responses, structural equation modeling (SEM) analysis identified relationships among knowledge-governance mechanisms, knowledge processes, and business performance, thereby supporting the existence of strategic learning loops. The study findings provide evidence from the construction context for capability assertions that knowledge-governance mechanisms and processes form learning mechanisms that carry out strategic learning to create value, effect performance outcomes, and ultimately drive the evolution of KMC. The findings imply that it is feasible for managing construction firms to govern learning mechanisms through managing the capability-based holistic KM system, thereby reconfiguring KMC to match needs in the dynamic market environment over time.
    publisherAmerican Society of Civil Engineers
    titleGovernance of Learning Mechanisms: Evidence from Construction Firms
    typeJournal Paper
    journal volume138
    journal issue9
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0000521
    treeJournal of Construction Engineering and Management:;2012:;Volume ( 138 ):;issue: 009
    contenttypeFulltext
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