Risk response incorporating risk preferences in international construction projects

PurposeThe objective of this research is to develop a decision method that can generate appropriate risk response strategies for international construction project managers (PMs) and allow these strategies to reflect their different risk preferences.Design/methodology/approachThe optimal model appro...

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Bibliographic Details
Published in:Engineering, construction, and architectural management Vol. 29; no. 9; pp. 3499 - 3519
Main Authors: Yan, Peng, Liu, Junying, Zhao, Xianbo, Skitmore, Martin
Format: Journal Article
Language:English
Published: Bradford Emerald Publishing Limited 24.11.2022
Emerald Group Publishing Limited
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ISSN:0969-9988, 1365-232X
Online Access:Get full text
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Summary:PurposeThe objective of this research is to develop a decision method that can generate appropriate risk response strategies for international construction project managers (PMs) and allow these strategies to reflect their different risk preferences.Design/methodology/approachThe optimal model approach is adopted. A credibility-based fuzzy chance constrained programming (CFCCP) model is developed, which simultaneously minimizes the expected losses of risk events and total costs of risk response. To solve this multi-objective model, a fuzzy interactive solution method is used. Moreover, the model performance is demonstrated by a real international industrial plant project. In addition, a sensitivity analysis of the model is conducted.FindingsThe result of the sensitivity analysis indicates that PMs with a greater risk aversion can lead to a higher mitigation ratio of expected losses of risk events and a higher total cost of risk response.Practical implicationsThis research provides contractors with an effective decision-making model to develop a project risk response plan, and it will assist contractors to minimize risk losses and enhance the project performance in the international construction market.Originality/valuePrevious studies overlook the risk preference, which is an important behavioral factor influencing decisions in risk response strategy selection. This research proposed a novel risk response strategy selection decision method that considers different attitudes toward risk among decision makers.
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ISSN:0969-9988
1365-232X
DOI:10.1108/ECAM-03-2019-0132