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    Combining Stakeholder and Risk Management: Multilayer Network Analysis for Complex Megaprojects

    Source: Journal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 002::page 04023161-1
    Author:
    Gabriel Castelblanco
    ,
    Enrico Maria Fenoaltea
    ,
    Alberto De Marco
    ,
    Paolo Demagistris
    ,
    Sandro Petruzzi
    ,
    Davide Zeppegno
    DOI: 10.1061/JCEMD4.COENG-13807
    Publisher: ASCE
    Abstract: Although megaprojects are complex socio-technical systems that cannot be fully understood by analyzing their components in an isolated way, integrated approaches combining risk and stakeholder analyses remain underdeveloped in the literature. This study proposes a multilayer network analysis that integrates economic transactions between stakeholders and risks to identify discrepancies that may lead to underperformance. This technique was implemented in an Italian megaproject case. The comparison between traditional stakeholders and the proposed multidimensional risk-stakeholder networks reveals the capacity of the latter to accurately capture misalignments between multiple dimensions, such as risk allocation, economic transactions, and project performance. While previous studies have explored one-dimensional networks involving either stakeholders or risks, the novel approach proposed in this paper integrates both dimensions. This research contributes to stakeholder and risk management theory by highlighting the significance of combined stakeholder-risk multilayer networks and introducing a multidimensional approach to quantitatively assess risk propagation and its impact on project outcomes while considering the stakeholders’ role.
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      Combining Stakeholder and Risk Management: Multilayer Network Analysis for Complex Megaprojects

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4297419
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    contributor authorGabriel Castelblanco
    contributor authorEnrico Maria Fenoaltea
    contributor authorAlberto De Marco
    contributor authorPaolo Demagistris
    contributor authorSandro Petruzzi
    contributor authorDavide Zeppegno
    date accessioned2024-04-27T22:45:24Z
    date available2024-04-27T22:45:24Z
    date issued2024/02/01
    identifier other10.1061-JCEMD4.COENG-13807.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4297419
    description abstractAlthough megaprojects are complex socio-technical systems that cannot be fully understood by analyzing their components in an isolated way, integrated approaches combining risk and stakeholder analyses remain underdeveloped in the literature. This study proposes a multilayer network analysis that integrates economic transactions between stakeholders and risks to identify discrepancies that may lead to underperformance. This technique was implemented in an Italian megaproject case. The comparison between traditional stakeholders and the proposed multidimensional risk-stakeholder networks reveals the capacity of the latter to accurately capture misalignments between multiple dimensions, such as risk allocation, economic transactions, and project performance. While previous studies have explored one-dimensional networks involving either stakeholders or risks, the novel approach proposed in this paper integrates both dimensions. This research contributes to stakeholder and risk management theory by highlighting the significance of combined stakeholder-risk multilayer networks and introducing a multidimensional approach to quantitatively assess risk propagation and its impact on project outcomes while considering the stakeholders’ role.
    publisherASCE
    titleCombining Stakeholder and Risk Management: Multilayer Network Analysis for Complex Megaprojects
    typeJournal Article
    journal volume150
    journal issue2
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-13807
    journal fristpage04023161-1
    journal lastpage04023161-12
    page12
    treeJournal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 002
    contenttypeFulltext
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