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    Embracing Generative AI in Construction through a Quantitative Analysis and Weighted Score Ranking of Perceptions, Applications, and Complexities

    Source: Journal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 005::page 04026041-1
    Author:
    Sadeh, Hooman
    ,
    Zhang, Ruichuan
    ,
    Gaedicke, Cristian
    ,
    Shahbodaghlou, Farzad
    ,
    Lee, Min Jae
    ,
    Todorov, Dimitar
    DOI: 10.1061/JCEMD4.COENG-17444
    Publisher: American Society of Civil Engineers
    Abstract: Abstract As generative artificial intelligence (AI) tools such as generative pretrained transformer–based language models gain prominence, the construction industry faces adoption challenges that differ from deterministic tools. Generative AI (GenAI) is ...
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      Embracing Generative AI in Construction through a Quantitative Analysis and Weighted Score Ranking of Perceptions, Applications, and Complexities

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4311152
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    • Journal of Construction Engineering and Management

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    contributor authorSadeh, Hooman
    contributor authorZhang, Ruichuan
    contributor authorGaedicke, Cristian
    contributor authorShahbodaghlou, Farzad
    contributor authorLee, Min Jae
    contributor authorTodorov, Dimitar
    date accessioned2026-08-20T10:42:35Z
    date available2026-08-20T10:42:35Z
    date copyright2026/03/13
    date issued2026
    identifier otherJCEMD4.COENG-17444.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311152
    description abstractAbstract As generative artificial intelligence (AI) tools such as generative pretrained transformer–based language models gain prominence, the construction industry faces adoption challenges that differ from deterministic tools. Generative AI (GenAI) is ...
    publisherAmerican Society of Civil Engineers
    titleEmbracing Generative AI in Construction through a Quantitative Analysis and Weighted Score Ranking of Perceptions, Applications, and Complexities
    typeJournal Article
    journal volume152
    journal issue5
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-17444
    journal fristpage04026041-1
    journal lastpage04026041-20
    page20
    treeJournal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 005
    contenttypeFulltext
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