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    Risk Response of Complex Projects: Risk Association Network Method

    Source: Journal of Management in Engineering:;2021:;Volume ( 037 ):;issue: 004::page 05021004-1
    Author:
    Lin Yang
    ,
    Jiaming Lou
    ,
    Xianbo Zhao
    DOI: 10.1061/(ASCE)ME.1943-5479.0000916
    Publisher: ASCE
    Abstract: A complex project, which has been recognized as a complex system with intricate interactions among organizations, is inevitably plagued with diverse risks and has fuzzy risk boundaries. Risk systems emerging from organizations and their interactions cannot be accounted for by traditional risk management theory. Research concerning risk response strategies that focus on these areas is urgently required. Through literature review and case analysis, 78 complex project organization-associated risks were identified. Three rounds of brainstorming meetings were used to collect risk association data from nine professional senior engineers participating in the construction process for complex projects within the last decade. The data were processed to model the complex network of complex project risk association. Targeted immunization and improved acquaintance immunization were applied to risk network of specific complex projects to empirically analyze changes in network density, helping to determine the optimal immunization strategy, including identification of critical risks and prevention of abnormal risk-associated transmission. Results demonstrated the feasibility and superiority of the model and the applicability of the response strategies developed. This research develops, for the first time, a list of complex project risks as well as a risk association complex-network model that is applicable to engineering practice, thus providing theoretical support for risk management in complex projects and an understanding of risk response strategies for decision makers.
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      Risk Response of Complex Projects: Risk Association Network Method

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4269844
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    contributor authorLin Yang
    contributor authorJiaming Lou
    contributor authorXianbo Zhao
    date accessioned2022-01-31T23:30:30Z
    date available2022-01-31T23:30:30Z
    date issued7/1/2021
    identifier other%28ASCE%29ME.1943-5479.0000916.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4269844
    description abstractA complex project, which has been recognized as a complex system with intricate interactions among organizations, is inevitably plagued with diverse risks and has fuzzy risk boundaries. Risk systems emerging from organizations and their interactions cannot be accounted for by traditional risk management theory. Research concerning risk response strategies that focus on these areas is urgently required. Through literature review and case analysis, 78 complex project organization-associated risks were identified. Three rounds of brainstorming meetings were used to collect risk association data from nine professional senior engineers participating in the construction process for complex projects within the last decade. The data were processed to model the complex network of complex project risk association. Targeted immunization and improved acquaintance immunization were applied to risk network of specific complex projects to empirically analyze changes in network density, helping to determine the optimal immunization strategy, including identification of critical risks and prevention of abnormal risk-associated transmission. Results demonstrated the feasibility and superiority of the model and the applicability of the response strategies developed. This research develops, for the first time, a list of complex project risks as well as a risk association complex-network model that is applicable to engineering practice, thus providing theoretical support for risk management in complex projects and an understanding of risk response strategies for decision makers.
    publisherASCE
    titleRisk Response of Complex Projects: Risk Association Network Method
    typeJournal Paper
    journal volume37
    journal issue4
    journal titleJournal of Management in Engineering
    identifier doi10.1061/(ASCE)ME.1943-5479.0000916
    journal fristpage05021004-1
    journal lastpage05021004-15
    page15
    treeJournal of Management in Engineering:;2021:;Volume ( 037 ):;issue: 004
    contenttypeFulltext
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