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Uncovering the Organizational Vulnerability toward Construction Project Accidents: BERTopic-Based Text Mining Analysis

dc.contributor.authorZhang, Yuguo
dc.contributor.authorWang, Wenshun
dc.contributor.authorMi, Lingyun
dc.contributor.authorSun, Guangyan
dc.contributor.authorQiao, Lijie
dc.contributor.authorTao, Min
dc.contributor.authorWang, Li
dc.date.accessioned2026-08-20T21:32:36Z
dc.date.available2026-08-20T21:32:36Z
dc.date.copyright2025/08/29
dc.date.issued2025
dc.identifier.otherJCEMD4.COENG-15499.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314623
dc.description.abstractAbstractConstruction projects are renowned for their high-risk work environments, complex process flow, and stringent time and cost constraints, which impose prolonged pressure on project organizations, particularly for vulnerable organizations, where any ...
dc.publisherAmerican Society of Civil Engineers
dc.titleUncovering the Organizational Vulnerability toward Construction Project Accidents: BERTopic-Based Text Mining Analysis
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue11
dc.journal.titleJournal of Construction Engineering and Management
dc.identifier.doi10.1061/JCEMD4.COENG-15499
dc.journal.fristpage04025179-1
dc.journal.lastpage04025179-24
dc.page24
dc.treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 011
dc.contenttypeFulltext


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