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dc.contributor.authorAli, Aftab
dc.contributor.authorZhifeng, Shen
dc.contributor.authorTahir, Muhammad
dc.contributor.authorYe, Yongming
dc.contributor.authorWang, Guanghui
dc.contributor.authorWei, Xiangdong
dc.contributor.authorZang, Xiao
dc.date.accessioned2026-08-20T10:44:27Z
dc.date.available2026-08-20T10:44:27Z
dc.date.copyright2026/05/06
dc.date.issued2026
dc.identifier.otherJCEMD4.COENG-17946.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311199
dc.description.abstractAbstractThe recognition of the potential for artificial intelligence (AI) and human–robot collaboration (HRC) to enhance megaproject performance (MPP) is widespread, among both academic and industry professionals. The claim, however, lacks evidence; there ...
dc.publisherAmerican Society of Civil Engineers
dc.titleEnhancing Megaproject Performance by Integrating Artificial Intelligence, Human–Robot Collaboration, and BIM-Integration Management: The Moderating Role of Top Management Support
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue7
dc.journal.titleJournal of Construction Engineering and Management
dc.identifier.doi10.1061/JCEMD4.COENG-17946
dc.journal.fristpage04026094-1
dc.journal.lastpage04026094-14
dc.page14
dc.treeJournal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 007
dc.contenttypeFulltext


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