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    Party Selection for Integrated Project Delivery Based on Interorganizational Transactive Memory System

    Source: Journal of Construction Engineering and Management:;2016:;Volume ( 142 ):;issue: 003
    Author:
    Lianying Zhang
    ,
    Jiajia Cheng
    ,
    Weijie Fan
    DOI: 10.1061/(ASCE)CO.1943-7862.0001068
    Publisher: American Society of Civil Engineers
    Abstract: As a new delivery mode, integrated project delivery (IPD) relies on highly trust-based collaboration among project parties. Thus, selecting the appropriate parties is important for successful IPD. Although traditional selection methods, which are primarily based on only the lowest tender price or multiple criteria other than price, can help select parties that can complete an integrated project, they are not completely suitable for IPD when trust and collaborative relationship among the project parties are considered. To improve upon this shortcoming of established methods, a new method based on the concept of an interorganizational transactive memory system (I-TMS) is established in this paper. The I-TMS drives group members to be mutually trusting and cooperatively integrate their professional knowledge, which reflects the idea of collaboration that underlies IPD. In this study, party selection for IPD was achieved via two processes. First, this study developed an I-TMS rating scale and conducted a questionnaire-based analysis to verify its reliability and validity quantitatively. Second, this study selected an appropriate combination from seven combinations of party candidates. In addition, this study analyzed the appropriate combination using social network analysis (SNA). The results suggest that project parties with a low I-TMS degree should engage in frequent interaction to foster mutual cognition and trust and improve team collaboration for IPD.
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      Party Selection for Integrated Project Delivery Based on Interorganizational Transactive Memory System

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    http://yetl.yabesh.ir/yetl1/handle/yetl/81591
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    contributor authorLianying Zhang
    contributor authorJiajia Cheng
    contributor authorWeijie Fan
    date accessioned2017-05-08T22:29:58Z
    date available2017-05-08T22:29:58Z
    date copyrightMarch 2016
    date issued2016
    identifier other46993634.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/81591
    description abstractAs a new delivery mode, integrated project delivery (IPD) relies on highly trust-based collaboration among project parties. Thus, selecting the appropriate parties is important for successful IPD. Although traditional selection methods, which are primarily based on only the lowest tender price or multiple criteria other than price, can help select parties that can complete an integrated project, they are not completely suitable for IPD when trust and collaborative relationship among the project parties are considered. To improve upon this shortcoming of established methods, a new method based on the concept of an interorganizational transactive memory system (I-TMS) is established in this paper. The I-TMS drives group members to be mutually trusting and cooperatively integrate their professional knowledge, which reflects the idea of collaboration that underlies IPD. In this study, party selection for IPD was achieved via two processes. First, this study developed an I-TMS rating scale and conducted a questionnaire-based analysis to verify its reliability and validity quantitatively. Second, this study selected an appropriate combination from seven combinations of party candidates. In addition, this study analyzed the appropriate combination using social network analysis (SNA). The results suggest that project parties with a low I-TMS degree should engage in frequent interaction to foster mutual cognition and trust and improve team collaboration for IPD.
    publisherAmerican Society of Civil Engineers
    titleParty Selection for Integrated Project Delivery Based on Interorganizational Transactive Memory System
    typeJournal Paper
    journal volume142
    journal issue3
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0001068
    treeJournal of Construction Engineering and Management:;2016:;Volume ( 142 ):;issue: 003
    contenttypeFulltext
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