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

    Source: Journal of Management in Engineering:;2025:;Volume ( 041 ):;issue: 006::page 04025049-1
    Author:
    Feng, Xiaowei
    ,
    Cao, Jiming
    ,
    Liu, Liang
    ,
    Liu, Cong
    DOI: 10.1061/JMENEA.MEENG-6888
    Publisher: American Society of Civil Engineers
    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 ...
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      Predicting Performance of Organizations in Project Networks Using Machine Learning: Evidence from China’s PPP Industry

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4312727
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    contributor authorFeng, Xiaowei
    contributor authorCao, Jiming
    contributor authorLiu, Liang
    contributor authorLiu, Cong
    date accessioned2026-08-20T11:49:48Z
    date available2026-08-20T11:49:48Z
    date copyright2025/08/20
    date issued2025
    identifier otherJMENEA.MEENG-6888.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312727
    description abstractAbstractAlthough 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 ...
    publisherAmerican Society of Civil Engineers
    titlePredicting Performance of Organizations in Project Networks Using Machine Learning: Evidence from China’s PPP Industry
    typeJournal Article
    journal volume41
    journal issue6
    journal titleJournal of Management in Engineering
    identifier doi10.1061/JMENEA.MEENG-6888
    journal fristpage04025049-1
    journal lastpage04025049-18
    page18
    treeJournal of Management in Engineering:;2025:;Volume ( 041 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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