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    Structural Equation Model of the Factors Affecting Construction Labor Productivity

    Source: Journal of Construction Engineering and Management:;2018:;Volume ( 144 ):;issue: 004
    Author:
    Durdyev Serdar;Ismail Syuhaida;Kandymov Nurmurat
    DOI: 10.1061/(ASCE)CO.1943-7862.0001452
    Publisher: American Society of Civil Engineers
    Abstract: Construction sector productivity is of great importance for the government and policymakers because it determines a nation’s future living standards and creates a competitive business environment. Addressing the factors influencing labor productivity is crucial for improving the productivity performance of the sector. A theoretical structural model is developed to understand the influence of six key factors on construction labor productivity and their links to labor productivity performance on a project. A structural equation modeling technique is used to analyze data collected via a questionnaire survey of 185 respondents consisting of government authorities and construction actors. The final model adapts 29 attributes across six labor productivity factors, namely, management and control, workforce, financial, external, project, and material and equipment. The outcomes of the final structural equation model confirm the significance of management team competency level and workforce quality in enhancing labor productivity. Moreover, client support and efforts by government authorities are found to be significant for labor productivity improvements. Despite the limitations of the study, it is hoped that the research outcomes will significantly contribute to improve the labor productivity performance in the Malaysian construction industry for faster delivery of construction projects with lower cost and higher quality.
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      Structural Equation Model of the Factors Affecting Construction Labor Productivity

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4250316
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    contributor authorDurdyev Serdar;Ismail Syuhaida;Kandymov Nurmurat
    date accessioned2019-02-26T07:55:33Z
    date available2019-02-26T07:55:33Z
    date issued2018
    identifier other%28ASCE%29CO.1943-7862.0001452.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4250316
    description abstractConstruction sector productivity is of great importance for the government and policymakers because it determines a nation’s future living standards and creates a competitive business environment. Addressing the factors influencing labor productivity is crucial for improving the productivity performance of the sector. A theoretical structural model is developed to understand the influence of six key factors on construction labor productivity and their links to labor productivity performance on a project. A structural equation modeling technique is used to analyze data collected via a questionnaire survey of 185 respondents consisting of government authorities and construction actors. The final model adapts 29 attributes across six labor productivity factors, namely, management and control, workforce, financial, external, project, and material and equipment. The outcomes of the final structural equation model confirm the significance of management team competency level and workforce quality in enhancing labor productivity. Moreover, client support and efforts by government authorities are found to be significant for labor productivity improvements. Despite the limitations of the study, it is hoped that the research outcomes will significantly contribute to improve the labor productivity performance in the Malaysian construction industry for faster delivery of construction projects with lower cost and higher quality.
    publisherAmerican Society of Civil Engineers
    titleStructural Equation Model of the Factors Affecting Construction Labor Productivity
    typeJournal Paper
    journal volume144
    journal issue4
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0001452
    page4018007
    treeJournal of Construction Engineering and Management:;2018:;Volume ( 144 ):;issue: 004
    contenttypeFulltext
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