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    Empirical Bid or No Bid Decision Process in International Construction Projects: Structural Equation Modeling Framework

    Source: Journal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 006
    Author:
    Guanghua Li
    ,
    Guomin Zhang
    ,
    Chuan Chen
    ,
    Igor Martek
    DOI: 10.1061/(ASCE)CO.1943-7862.0001830
    Publisher: ASCE
    Abstract: The bid or no bid decision in international construction projects requires complex multiattribute analysis. Thus far, there exists no comprehensive framework to support the decision process. The objective of this study is to construct such a framework to support international contractors. Following a comprehensive literature review, five criteria and 41 factors were identified that bear on the decision. Questionnaire surveys were used to collect experts’ opinions on the importance of these factors in the decision of Chinese international contractors (CICs). The 41 factors were classified into six groups using factor analysis, with relationships among them validated through structural equation modeling (SEM). By integrating the five criteria with the six factors, a systematic framework for a no bid decision was developed. The outcome reveals that the bidding decision is a multistage decision process conducted in the following sequence: country risk vulnerability → ability to perform → project risk vulnerability → profitability → probability of winning. In validating this framework, a case study was also examined. Thus, this paper contributes to the body of knowledge on bid or no bid decision-making by offering an empirical framework that effectively links factors to criteria, and which sets out a basis on which contractors may rationally base a bid or no bid decision in the international arena.
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      Empirical Bid or No Bid Decision Process in International Construction Projects: Structural Equation Modeling Framework

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4265197
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    contributor authorGuanghua Li
    contributor authorGuomin Zhang
    contributor authorChuan Chen
    contributor authorIgor Martek
    date accessioned2022-01-30T19:23:10Z
    date available2022-01-30T19:23:10Z
    date issued2020
    identifier other%28ASCE%29CO.1943-7862.0001830.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4265197
    description abstractThe bid or no bid decision in international construction projects requires complex multiattribute analysis. Thus far, there exists no comprehensive framework to support the decision process. The objective of this study is to construct such a framework to support international contractors. Following a comprehensive literature review, five criteria and 41 factors were identified that bear on the decision. Questionnaire surveys were used to collect experts’ opinions on the importance of these factors in the decision of Chinese international contractors (CICs). The 41 factors were classified into six groups using factor analysis, with relationships among them validated through structural equation modeling (SEM). By integrating the five criteria with the six factors, a systematic framework for a no bid decision was developed. The outcome reveals that the bidding decision is a multistage decision process conducted in the following sequence: country risk vulnerability → ability to perform → project risk vulnerability → profitability → probability of winning. In validating this framework, a case study was also examined. Thus, this paper contributes to the body of knowledge on bid or no bid decision-making by offering an empirical framework that effectively links factors to criteria, and which sets out a basis on which contractors may rationally base a bid or no bid decision in the international arena.
    publisherASCE
    titleEmpirical Bid or No Bid Decision Process in International Construction Projects: Structural Equation Modeling Framework
    typeJournal Paper
    journal volume146
    journal issue6
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0001830
    page04020050
    treeJournal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 006
    contenttypeFulltext
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