| dc.contributor.author | Cheng, Mengyuan | |
| dc.contributor.author | Chong, Heap-Yih | |
| dc.contributor.author | Xu, Yongshun | |
| dc.contributor.author | Wu, Haitao | |
| dc.date.accessioned | 2026-08-20T10:43:57Z | |
| dc.date.available | 2026-08-20T10:43:57Z | |
| dc.date.copyright | 2026/04/29 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JCEMD4.COENG-17763.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311187 | |
| dc.description.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 ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Exploring the Determinants of Generative Artificial Intelligence Use Intention: A Mixed Methods Study | |
| dc.type | Journal Article | |
| dc.journal.volume | 152 | |
| dc.journal.issue | 7 | |
| dc.journal.title | Journal of Construction Engineering and Management | |
| dc.identifier.doi | 10.1061/JCEMD4.COENG-17763 | |
| dc.journal.fristpage | 04026091-1 | |
| dc.journal.lastpage | 04026091-15 | |
| dc.page | 15 | |
| dc.tree | Journal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 007 | |
| dc.contenttype | Fulltext | |
