| dc.contributor.author | Elbashbishy, Tamima | |
| dc.contributor.author | El-adaway, Islam H. | |
| dc.date.accessioned | 2026-08-20T11:49:11Z | |
| dc.date.available | 2026-08-20T11:49:11Z | |
| dc.date.copyright | 2025/07/12 | |
| dc.date.issued | 2025 | |
| dc.identifier.other | JMENEA.MEENG-6671.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312713 | |
| dc.description.abstract | AbstractLabor productivity is a major concern in the construction industry. Existing research
on construction labor productivity (CLP) within specific trades has produced inconsistent
findings due to differences in the factors analyzed. This lack of ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Labor Productivity Losses across Construction Trades: A Machine Learning Approach | |
| dc.type | Journal Article | |
| dc.journal.volume | 41 | |
| dc.journal.issue | 5 | |
| dc.journal.title | Journal of Management in Engineering | |
| dc.identifier.doi | 10.1061/JMENEA.MEENG-6671 | |
| dc.journal.fristpage | 04025043-1 | |
| dc.journal.lastpage | 04025043-19 | |
| dc.page | 19 | |
| dc.tree | Journal of Management in Engineering:;2025:;Volume ( 041 ):;issue: 005 | |
| dc.contenttype | Fulltext | |
