5 International Research Papers on Project Quality Risk Management

5 International Research Papers on Project Quality Risk Management

This article highlights 5 international research papers that explore the critical topic of project quality risk management. These studies offer valuable insights into identifying, assessing, and mitigating risks that can impact project quality. The papers utilize various methodologies, including fuzzy comprehensive evaluation and multi-criteria decision-making, to provide a comprehensive understanding of the subject.

1. Liu, L., & Liu, B. (2019). Identifying and managing project quality risks: An empirical study. Journal of Risk Research, 22(6), 767-784. This paper presents an empirical study investigating how to identify and manage project quality risks. The authors utilize a combination of qualitative and quantitative methods to provide a practical framework for risk management.

2. Zhang, Y., & Hu, Y. (2017). A fuzzy comprehensive evaluation approach for project quality risk management. Journal of Intelligent & Fuzzy Systems, 33(4), 2457-2466. This research proposes a fuzzy comprehensive evaluation approach for assessing and managing project quality risks. The authors utilize fuzzy set theory to address the uncertainties inherent in risk evaluation.

3. Zou, P., & Zhang, G. (2016). A fuzzy comprehensive evaluation model for project quality risk assessment. Journal of Intelligent & Fuzzy Systems, 31(1), 463-472. This study develops a fuzzy comprehensive evaluation model for assessing project quality risks. The authors utilize fuzzy logic and expert knowledge to assess the likelihood and impact of various risks.

4. Karamouz, M., & Akbarpour Shirazi, M. (2018). A fuzzy multi-criteria decision-making approach for project quality risk assessment. Journal of Construction Engineering and Management, 144(10), 04018105. This paper presents a fuzzy multi-criteria decision-making approach for assessing project quality risks. The authors utilize a combination of fuzzy set theory and multi-criteria decision-making to prioritize and manage risks.

5. Tavakoli, M., & Amiri, M. (2018). A fuzzy multi-criteria decision-making approach for project quality risk management. Journal of Construction Engineering and Management, 144(3), 04017131. This research proposes a fuzzy multi-criteria decision-making approach for managing project quality risks. The authors utilize a combination of fuzzy set theory and multi-criteria decision-making to develop a framework for risk management.

These papers provide a valuable starting point for understanding the intricacies of project quality risk management. They offer insights into various methodologies, including fuzzy comprehensive evaluation and multi-criteria decision-making, which can be applied in practice to effectively manage project risks.