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    Conceptual Profit Allocation Framework for Construction Joint Ventures: Shapley Value Approach

    Source: Journal of Management in Engineering:;2021:;Volume ( 037 ):;issue: 003::page 04021016-1
    Author:
    Radwa Eissa
    ,
    Mohamed S. Eid
    ,
    Emad Elbeltagi
    DOI: 10.1061/(ASCE)ME.1943-5479.0000911
    Publisher: ASCE
    Abstract: Construction joint ventures (CJVs) execute business by pooling diverse technical and financial contributions from collaborating entities. Traditional CJV profit-allocation approaches account only for investment shares, and do not address the marginal contribution of the participating parties. Therefore, disagreements may arise between stakeholders. This research aims to reduce profit-share-related disagreements among multiple CJV members by allocating profit based on the marginal contribution of each party. The authors developed a conceptual framework using the Shapley value as an alternative to the traditional investment-based approach. Three illustrative examples demonstrated the possible use of the developed conceptual framework. Results of the study highlighted the potential of Shapley value as an alternative profit allocation scheme. The stability of the generated results was validated mathematically, and decision makers’ perception of fairness was addressed following the methods of prior experimental cooperative game theory research. This paper contributes to the body of knowledge by proposing an axiomatically fair methodology for profit-sharing negotiations among multiple collaborating parties in a project. This approach can be utilized in other engineering domains where the management needs to foster stable and fair collaborations among its stakeholders.
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      Conceptual Profit Allocation Framework for Construction Joint Ventures: Shapley Value Approach

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4269839
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    contributor authorRadwa Eissa
    contributor authorMohamed S. Eid
    contributor authorEmad Elbeltagi
    date accessioned2022-01-31T23:30:18Z
    date available2022-01-31T23:30:18Z
    date issued5/1/2021
    identifier other%28ASCE%29ME.1943-5479.0000911.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4269839
    description abstractConstruction joint ventures (CJVs) execute business by pooling diverse technical and financial contributions from collaborating entities. Traditional CJV profit-allocation approaches account only for investment shares, and do not address the marginal contribution of the participating parties. Therefore, disagreements may arise between stakeholders. This research aims to reduce profit-share-related disagreements among multiple CJV members by allocating profit based on the marginal contribution of each party. The authors developed a conceptual framework using the Shapley value as an alternative to the traditional investment-based approach. Three illustrative examples demonstrated the possible use of the developed conceptual framework. Results of the study highlighted the potential of Shapley value as an alternative profit allocation scheme. The stability of the generated results was validated mathematically, and decision makers’ perception of fairness was addressed following the methods of prior experimental cooperative game theory research. This paper contributes to the body of knowledge by proposing an axiomatically fair methodology for profit-sharing negotiations among multiple collaborating parties in a project. This approach can be utilized in other engineering domains where the management needs to foster stable and fair collaborations among its stakeholders.
    publisherASCE
    titleConceptual Profit Allocation Framework for Construction Joint Ventures: Shapley Value Approach
    typeJournal Paper
    journal volume37
    journal issue3
    journal titleJournal of Management in Engineering
    identifier doi10.1061/(ASCE)ME.1943-5479.0000911
    journal fristpage04021016-1
    journal lastpage04021016-13
    page13
    treeJournal of Management in Engineering:;2021:;Volume ( 037 ):;issue: 003
    contenttypeFulltext
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