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    Exploring the Determinants of Generative Artificial Intelligence Use Intention: A Mixed Methods Study

    Source: Journal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 007::page 04026091-1
    Author:
    Cheng, Mengyuan
    ,
    Chong, Heap-Yih
    ,
    Xu, Yongshun
    ,
    Wu, Haitao
    DOI: 10.1061/JCEMD4.COENG-17763
    Publisher: American Society of Civil Engineers
    Abstract: AbstractGenerative artificial intelligence (GAI) is driving digital transformation in the architecture, engineering, and construction (AEC) sector and has become an influential tool for enhancing design processes, project management, and operational ...
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      Exploring the Determinants of Generative Artificial Intelligence Use Intention: A Mixed Methods Study

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4311187
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    contributor authorCheng, Mengyuan
    contributor authorChong, Heap-Yih
    contributor authorXu, Yongshun
    contributor authorWu, Haitao
    date accessioned2026-08-20T10:43:57Z
    date available2026-08-20T10:43:57Z
    date copyright2026/04/29
    date issued2026
    identifier otherJCEMD4.COENG-17763.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311187
    description abstractAbstractGenerative artificial intelligence (GAI) is driving digital transformation in the architecture, engineering, and construction (AEC) sector and has become an influential tool for enhancing design processes, project management, and operational ...
    publisherAmerican Society of Civil Engineers
    titleExploring the Determinants of Generative Artificial Intelligence Use Intention: A Mixed Methods Study
    typeJournal Article
    journal volume152
    journal issue7
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-17763
    journal fristpage04026091-1
    journal lastpage04026091-15
    page15
    treeJournal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 007
    contenttypeFulltext
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