Technical Papers
Mar 24, 2020

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

Publication: Journal of Construction Engineering and Management
Volume 146, Issue 6

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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Data Availability Statement

Data used and analyzed during this study is available from the corresponding author by request.

Acknowledgments

This study is supported by the National Natural Science Foundation of China (No. 71371131) and Chengdu University of Technology (No. JG183029). Acknowledgment is also made to the China Association of Construction Enterprise Management for support in the collection of data.

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Journal of Construction Engineering and Management
Volume 146Issue 6June 2020

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Received: Apr 17, 2019
Accepted: Nov 12, 2019
Published online: Mar 24, 2020
Published in print: Jun 1, 2020
Discussion open until: Aug 24, 2020

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Guanghua Li [email protected]
Lecturer, College of Environment and Civil Engineering, Chengdu Univ. of Technology, Chengdu 610059, China; Ph.D. Candidate, Business School, Sichuan Univ., Chengdu 610065, China. Email: [email protected]
Guomin Zhang [email protected]
Professor, School of Engineering, RMIT Univ., Melbourne, VIC 3001, Australia. Email: [email protected]
Professor, Business School, Sichuan Univ., Chengdu 610065, China (corresponding author). Email: [email protected]
Senior Lecturer, School of Architecture and Built Environment, Deakin Univ., Geelong, VIC 3220, Australia. ORCID: https://orcid.org/0000-0001-6573-1291. Email: [email protected]

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