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    Latent Structures of the Factors Affecting Construction Labor Productivity

    Source: Journal of Construction Engineering and Management:;2009:;Volume ( 135 ):;issue: 005
    Author:
    Jiukun Dai
    ,
    Paul M. Goodrum
    ,
    William F. Maloney
    ,
    Cidambi Srinivasan
    DOI: 10.1061/(ASCE)0733-9364(2009)135:5(397)
    Publisher: American Society of Civil Engineers
    Abstract: At any moment in time, a multitude of factors simultaneously impact construction productivity. Utilizing the knowledge of thousands of construction craft workers, the writers quantitatively analyzed the underlying structure of the factors affecting construction productivity and identified which factors the craft workers consider to be more relatively important as well. This research identified 83 factors affecting construction labor productivity through 18 focus groups with craft workers and their immediate supervisors on nine jobsites throughout the U.S. Next, a nationwide survey was administered to 1,996 craft workers to assess the impact of these factors on construction labor productivity. Principal factor analyses identified 10 latent factors to represent the underlying structure of 83 productivity factors. In addition, the relative importance of the factors’ impact on construction productivity was examined based on the crafts’ union status, trade, and position (craft worker versus foreman). The writers also compared their results to similar previous efforts, and more importantly, identified significant differences that may impact future productivity improvement strategies. This research will help industry and the research community better understand the factors affecting construction labor productivity and more effectively direct future efforts to improve its performance.
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      Latent Structures of the Factors Affecting Construction Labor Productivity

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    http://yetl.yabesh.ir/yetl1/handle/yetl/29287
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    contributor authorJiukun Dai
    contributor authorPaul M. Goodrum
    contributor authorWilliam F. Maloney
    contributor authorCidambi Srinivasan
    date accessioned2017-05-08T20:51:11Z
    date available2017-05-08T20:51:11Z
    date copyrightMay 2009
    date issued2009
    identifier other%28asce%290733-9364%282009%29135%3A5%28397%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/29287
    description abstractAt any moment in time, a multitude of factors simultaneously impact construction productivity. Utilizing the knowledge of thousands of construction craft workers, the writers quantitatively analyzed the underlying structure of the factors affecting construction productivity and identified which factors the craft workers consider to be more relatively important as well. This research identified 83 factors affecting construction labor productivity through 18 focus groups with craft workers and their immediate supervisors on nine jobsites throughout the U.S. Next, a nationwide survey was administered to 1,996 craft workers to assess the impact of these factors on construction labor productivity. Principal factor analyses identified 10 latent factors to represent the underlying structure of 83 productivity factors. In addition, the relative importance of the factors’ impact on construction productivity was examined based on the crafts’ union status, trade, and position (craft worker versus foreman). The writers also compared their results to similar previous efforts, and more importantly, identified significant differences that may impact future productivity improvement strategies. This research will help industry and the research community better understand the factors affecting construction labor productivity and more effectively direct future efforts to improve its performance.
    publisherAmerican Society of Civil Engineers
    titleLatent Structures of the Factors Affecting Construction Labor Productivity
    typeJournal Paper
    journal volume135
    journal issue5
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)0733-9364(2009)135:5(397)
    treeJournal of Construction Engineering and Management:;2009:;Volume ( 135 ):;issue: 005
    contenttypeFulltext
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