| contributor author | Sadeh, Hooman | |
| contributor author | Zhang, Ruichuan | |
| contributor author | Gaedicke, Cristian | |
| contributor author | Shahbodaghlou, Farzad | |
| contributor author | Lee, Min Jae | |
| contributor author | Todorov, Dimitar | |
| date accessioned | 2026-08-20T10:42:35Z | |
| date available | 2026-08-20T10:42:35Z | |
| date copyright | 2026/03/13 | |
| date issued | 2026 | |
| identifier other | JCEMD4.COENG-17444.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311152 | |
| description 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 ... | |
| publisher | American Society of Civil Engineers | |
| title | Embracing Generative AI in Construction through a Quantitative Analysis and Weighted Score Ranking of Perceptions, Applications, and Complexities | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 5 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/JCEMD4.COENG-17444 | |
| journal fristpage | 04026041-1 | |
| journal lastpage | 04026041-20 | |
| page | 20 | |
| tree | Journal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 005 | |
| contenttype | Fulltext | |
