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    Unveiling and Evaluating the Collaboration in Engineering Projects through a Two-Layer Information Collaboration Network Model

    Source: Journal of Management in Engineering:;2024:;Volume ( 040 ):;issue: 003::page 04024014-1
    Author:
    Xin Chen
    ,
    Qian Shi
    ,
    Chao Xiao
    ,
    Dong Zhao
    ,
    Kewei Tang
    DOI: 10.1061/JMENEA.MEENG-5871
    Publisher: ASCE
    Abstract: Engineering projects necessitate efficient and resilient collaboration. Enhancing collaboration requires designing and optimizing information interactions. Current methodologies lack a processual and relational lens; also, they seldom emphasize the significance of information. This study focused on information collaboration (IC) in engineering projects. We devised an integrated framework with an information perspective and a network perspective. The framework comprises (1) a two-layer information collaboration network model, integrating information demands and flows; (2) network analysis across different project levels, detecting stakeholder roles in collaboration, revealing unevenly distributed collaboration configurations, and presenting overall collaboration patterns; and (3) a novel assessment method for collaboration performance considering the efficiency and resilience of IC. The framework’s practicality was validated through a large-scale international airport project. It offers strategies for enhancing collaboration via network interventions and information optimization. Findings promote the recognition of collaboration, clarify the mechanism between information demands and flows, and improve collaboration performance. It also paves the way for project resilience management.
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      Unveiling and Evaluating the Collaboration in Engineering Projects through a Two-Layer Information Collaboration Network Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4296588
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    contributor authorXin Chen
    contributor authorQian Shi
    contributor authorChao Xiao
    contributor authorDong Zhao
    contributor authorKewei Tang
    date accessioned2024-04-27T22:24:30Z
    date available2024-04-27T22:24:30Z
    date issued2024/05/01
    identifier other10.1061-JMENEA.MEENG-5871.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4296588
    description abstractEngineering projects necessitate efficient and resilient collaboration. Enhancing collaboration requires designing and optimizing information interactions. Current methodologies lack a processual and relational lens; also, they seldom emphasize the significance of information. This study focused on information collaboration (IC) in engineering projects. We devised an integrated framework with an information perspective and a network perspective. The framework comprises (1) a two-layer information collaboration network model, integrating information demands and flows; (2) network analysis across different project levels, detecting stakeholder roles in collaboration, revealing unevenly distributed collaboration configurations, and presenting overall collaboration patterns; and (3) a novel assessment method for collaboration performance considering the efficiency and resilience of IC. The framework’s practicality was validated through a large-scale international airport project. It offers strategies for enhancing collaboration via network interventions and information optimization. Findings promote the recognition of collaboration, clarify the mechanism between information demands and flows, and improve collaboration performance. It also paves the way for project resilience management.
    publisherASCE
    titleUnveiling and Evaluating the Collaboration in Engineering Projects through a Two-Layer Information Collaboration Network Model
    typeJournal Article
    journal volume40
    journal issue3
    journal titleJournal of Management in Engineering
    identifier doi10.1061/JMENEA.MEENG-5871
    journal fristpage04024014-1
    journal lastpage04024014-18
    page18
    treeJournal of Management in Engineering:;2024:;Volume ( 040 ):;issue: 003
    contenttypeFulltext
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