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    Is AI the Solution or the Problem? Empirical Evidence on Risk Evolution in Construction Project Management

    Source: Journal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 002::page 04025064-1
    Author:
    Zhan, Hanzhang
    ,
    Hwang, Bon-Gang
    ,
    Yin, Jolyn Chia Xin
    DOI: 10.1061/JMENEA.MEENG-7193
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe integration of artificial intelligence (AI) into construction project management represents a transformative shift that fundamentally changes traditional risk landscapes while introducing unprecedented challenges. This study aims to (1) ...
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      Is AI the Solution or the Problem? Empirical Evidence on Risk Evolution in Construction Project Management

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4312761
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    contributor authorZhan, Hanzhang
    contributor authorHwang, Bon-Gang
    contributor authorYin, Jolyn Chia Xin
    date accessioned2026-08-20T11:51:11Z
    date available2026-08-20T11:51:11Z
    date copyright2025/11/21
    date issued2026
    identifier otherJMENEA.MEENG-7193.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312761
    description abstractAbstractThe integration of artificial intelligence (AI) into construction project management represents a transformative shift that fundamentally changes traditional risk landscapes while introducing unprecedented challenges. This study aims to (1) ...
    publisherAmerican Society of Civil Engineers
    titleIs AI the Solution or the Problem? Empirical Evidence on Risk Evolution in Construction Project Management
    typeJournal Article
    journal volume42
    journal issue2
    journal titleJournal of Management in Engineering
    identifier doi10.1061/JMENEA.MEENG-7193
    journal fristpage04025064-1
    journal lastpage04025064-12
    page12
    treeJournal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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