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    Influence of Prior Ties on Trust and Contract Functions for BIM-Enabled EPC Megaproject Performance

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 007::page 04021057-1
    Author:
    Cen-Ying Lee
    ,
    Heap-Yih Chong
    DOI: 10.1061/(ASCE)CO.1943-7862.0002076
    Publisher: ASCE
    Abstract: Drawing on transaction cost theory as well as social exchange perspective, this study investigates the influence of prior ties on trust and contract functions—contractual control, coordination, and contingency adaptability—for improving building information modeling (BIM)–enabled engineering, procurement, and construction (EPC) megaproject performance. This study compares questionnaire data collected from stakeholders in oil and gas megaprojects with and without prior working relationships and uses partial least squares structural equation modeling (PLS-SEM) to analyze the relationship between trust, contract functions, and project performance in prior ties and nonprior ties model. The results reveal that trust influences project performance via contract functions significantly in both models. This study found that parties without a prior working relationship are more willing to rely on contractual control to improve project performance, whereas contracting parties with a prior working relationship are more likely to use contingency adaptability to enhance project performance. The findings of this study expand the theoretical understanding of how the trust engendered from prior ties influences the formation of contract functions to improve the performance of BIM-enabled EPC megaprojects.
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      Influence of Prior Ties on Trust and Contract Functions for BIM-Enabled EPC Megaproject Performance

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4271045
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    contributor authorCen-Ying Lee
    contributor authorHeap-Yih Chong
    date accessioned2022-02-01T00:11:11Z
    date available2022-02-01T00:11:11Z
    date issued7/1/2021
    identifier other%28ASCE%29CO.1943-7862.0002076.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271045
    description abstractDrawing on transaction cost theory as well as social exchange perspective, this study investigates the influence of prior ties on trust and contract functions—contractual control, coordination, and contingency adaptability—for improving building information modeling (BIM)–enabled engineering, procurement, and construction (EPC) megaproject performance. This study compares questionnaire data collected from stakeholders in oil and gas megaprojects with and without prior working relationships and uses partial least squares structural equation modeling (PLS-SEM) to analyze the relationship between trust, contract functions, and project performance in prior ties and nonprior ties model. The results reveal that trust influences project performance via contract functions significantly in both models. This study found that parties without a prior working relationship are more willing to rely on contractual control to improve project performance, whereas contracting parties with a prior working relationship are more likely to use contingency adaptability to enhance project performance. The findings of this study expand the theoretical understanding of how the trust engendered from prior ties influences the formation of contract functions to improve the performance of BIM-enabled EPC megaprojects.
    publisherASCE
    titleInfluence of Prior Ties on Trust and Contract Functions for BIM-Enabled EPC Megaproject Performance
    typeJournal Paper
    journal volume147
    journal issue7
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0002076
    journal fristpage04021057-1
    journal lastpage04021057-12
    page12
    treeJournal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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