YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Management in Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Management in Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Labor Productivity Losses across Construction Trades: A Machine Learning Approach

    Source: Journal of Management in Engineering:;2025:;Volume ( 041 ):;issue: 005::page 04025043-1
    Author:
    Elbashbishy, Tamima
    ,
    El-adaway, Islam H.
    DOI: 10.1061/JMENEA.MEENG-6671
    Publisher: American Society of Civil Engineers
    Abstract: AbstractLabor productivity is a major concern in the construction industry. Existing research on construction labor productivity (CLP) within specific trades has produced inconsistent findings due to differences in the factors analyzed. This lack of ...
    • Download: (1.975Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Labor Productivity Losses across Construction Trades: A Machine Learning Approach

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4312713
    Collections
    • Journal of Management in Engineering

    Show full item record

    contributor authorElbashbishy, Tamima
    contributor authorEl-adaway, Islam H.
    date accessioned2026-08-20T11:49:11Z
    date available2026-08-20T11:49:11Z
    date copyright2025/07/12
    date issued2025
    identifier otherJMENEA.MEENG-6671.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312713
    description abstractAbstractLabor productivity is a major concern in the construction industry. Existing research on construction labor productivity (CLP) within specific trades has produced inconsistent findings due to differences in the factors analyzed. This lack of ...
    publisherAmerican Society of Civil Engineers
    titleLabor Productivity Losses across Construction Trades: A Machine Learning Approach
    typeJournal Article
    journal volume41
    journal issue5
    journal titleJournal of Management in Engineering
    identifier doi10.1061/JMENEA.MEENG-6671
    journal fristpage04025043-1
    journal lastpage04025043-19
    page19
    treeJournal of Management in Engineering:;2025:;Volume ( 041 ):;issue: 005
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian