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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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