Decision-Making Model for Evaluating Joint Venture Contractors in Construction of Complex Infrastructure Megaprojects
Publication: Journal of Construction Engineering and Management
Volume 149, Issue 9
Abstract
Due to the complexity of infrastructure megaprojects, using joint venture contractors (JVCs) is an effective method to deliver projects. However, this process is constrained by several factors, including the quality of competing JVCs and knowledge level of decision-makers (DMs). However, existing decision-making methods for megaprojects and JVC selection lack comprehensive JVC evaluation criteria and cannot handle decision-making scenarios using incomplete data. To address these issues, in this study, we propose a novel model based on a hesitant fuzzy soft set and a linear programming techniques for multidimensional analysis of preferences called LINMAP, which can process incomplete decision data and improve decision accuracy. Moreover, a set of criteria was constructed from four dimensions (economy, society, environment, and cooperation), which upholds the sustainable development and internal cooperation of the built environment. Finally, by applying the approach to a complex infrastructure megaproject and conducting a sensitivity analysis, the feasibility and effectiveness of the proposed model were verified. Research shows that DMs in different specialized areas choose different criterion subsets, which leads to different decision-making results. For one, allowing DMs to choose a subset of the criteria can improve the accuracy of a decision and reduce the accompanying risks; further, a large gap exists between partial and global evaluations, so partial and global consistence must be included in the context of multicriteria decision-making; finally, cooperation is the premise of competition, i.e., good cooperation has a positive effect on competition, so the sustainable development of a JVC needs to consider not only economic, environmental, and social factors but also cooperation. This study contributes to the knowledge domain of multicriteria decision-making, extends the knowledge domain in terms of clarifying complicated evaluation scenarios in infrastructure megaprojects, and renders practical managerial implications for future complex evaluation processes in infrastructure megaprojects.
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Data Availability Statement
All data and models generated or used during the study appear in the published article.
Acknowledgments
This work was partly supported by the National Natural Science Foundation of China (Nos. 72101141 and 72071105).
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Published In
Journal of Construction Engineering and Management
Volume 149 • Issue 9 • September 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Nov 22, 2022
Accepted: Apr 3, 2023
Published online: Jun 17, 2023
Published in print: Sep 1, 2023
Discussion open until: Nov 17, 2023
ASCE Technical Topics:
- Analysis (by type)
- Business management
- Business organizations
- Construction engineering
- Construction industry
- Construction management
- Contracts and subcontracts
- Decision making
- Engineering fundamentals
- Infrastructure
- Infrastructure construction
- Joint ventures
- Linear analysis
- Organizations
- Practice and Profession
- Project management
- Sensitivity analysis
- Structural analysis
- Structural engineering
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