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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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