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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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