Predicting Performance of Organizations in Project Networks Using Machine Learning: Evidence from China’s PPP Industry

dc.contributor.author	Feng, Xiaowei
dc.contributor.author	Cao, Jiming
dc.contributor.author	Liu, Liang
dc.contributor.author	Liu, Cong
dc.date.accessioned	2026-08-20T11:49:48Z
dc.date.available	2026-08-20T11:49:48Z
dc.date.copyright	2025/08/20
dc.date.issued	2025
dc.identifier.other	JMENEA.MEENG-6888.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4312727
dc.description.abstract	AbstractAlthough research in the organizational performance area inherently involves a network perspective, existing work is limited to exploring the causal relationship between a single type of organizational network position—typically the global network ...
dc.publisher	American Society of Civil Engineers
dc.title	Predicting Performance of Organizations in Project Networks Using Machine Learning: Evidence from China’s PPP Industry
dc.type	Journal Article
dc.journal.volume	41
dc.journal.issue	6
dc.journal.title	Journal of Management in Engineering
dc.identifier.doi	10.1061/JMENEA.MEENG-6888
dc.journal.fristpage	04025049-1
dc.journal.lastpage	04025049-18
dc.page	18
dc.tree	Journal of Management in Engineering:;2025:;Volume ( 041 ):;issue: 006
dc.contenttype	Fulltext