Technical Papers
Jul 14, 2023

Research on the Differences between Risk-Factor Attention and Risk Losses in PPP Projects

Publication: Journal of Construction Engineering and Management
Volume 149, Issue 9

Abstract

Public–private partnership (PPP) project risk management through risk-factor attention has been widely studied for a long time; however, it remains unknown whether the attention degree of risk indicators corresponds to their loss degrees. This study investigated the difference between risk-factor attention and losses in PPP projects by utilizing text mining, questionnaire survey, fuzzy comprehensive evaluation, and importance-performance analysis methods (IPA). The results show a surprising attention-loss phenomenon: some factors attract more attention but bring fewer losses; other factors attract less attention while causing more losses. The research findings provided valuable references not only for PPP project managers but also for further studies on the risk management of PPP projects.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 149Issue 9September 2023

History

Received: Sep 8, 2022
Accepted: May 22, 2023
Published online: Jul 14, 2023
Published in print: Sep 1, 2023
Discussion open until: Dec 14, 2023

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Fangye Jiang [email protected]
College of Architecture and Urban and Rural Planning, Sichuan Agricultural Univ., 288 Jianshe Rd., Chengdu, Sichuan Province 611830, China. Email: [email protected]
Lecturer, College of Architecture and Urban and Rural Planning, Sichuan Agricultural Univ., 288 Jianshe Rd., Chengdu, Sichuan Province 611830, China (corresponding author). ORCID: https://orcid.org/0000-0001-9224-4069. Email: [email protected]
Yupeng Zhang [email protected]
China Telecom Digital Intelligence Technology Co., Ltd., Shandong Branch, 1999 Shunhua Rd., Jinan, Shandong Province 250000, China. Email: [email protected]
Sichuan Agricultural Univ., 288 Jianshe Rd., Chengdu, Sichuan Province 611830, China. Email: [email protected]

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