CONCEPTUAL FRAMEWORK TO EVALUATE AND ENHANCE RESILIENCE OF PUBLIC-PRIVATE PARTNERSHIP PROJECTS

Date

2025-2-13

Author

KAMALI, SAEED

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Public-Private Partnerships (PPPs) serve as a vital mechanism for addressing infrastructure demands by fostering collaboration between public and private entities. While these partnerships hold immense potential to revolutionize service delivery, they are frequently undermined by inherent uncertainties and disruptions that threaten their success. The concept of resilience, an evolving paradigm in project management, offers a transformative lens to mitigate these challenges and enhance project sustainability. This study presents a comprehensive framework to evaluate and fortify the resilience of PPP projects. By synthesizing the interconnected dimensions of uncertainty, resilience, and performance, this research delineates the fundamental attributes of resilience and identifies its critical determinants. Drawing from an analysis of 15 PPP projects in Türkiye and employing Principal Component Analysis (PCA) over collected data from a second round of questionnaire survey, the study illuminates the intricate relationships among resilience, uncertainty, and project performance and proposes a comprehensive definition for resilience and its dimensions. This research systematically identifies and classifies key resilience factors into four fundamental dimensions: preparation, absorption, recovery, and adaptation. Building upon these insights, the research culminates in the creation of the Uncertainty-Resilience Assessment Tool (URAT), an innovative instrument designed to equip practitioners with actionable strategies for evaluating the degree of uncertainty and resilience and taking the necessary actions, if required, on time to improve the level of resilience and maintaining operational continuity. By embedding resilience as a cornerstone of project planning and execution, URAT empowers decision-makers to significantly enhance the robustness and success rate of PPP initiatives in dynamic and complex environments.

Subject Keywords

Resilience, Uncertainty, Public-Private-Partnership, Principal Component Analysis, R Programming Language

URI

https://hdl.handle.net/11511/113762

Collections

Graduate School of Natural and Applied Sciences, Thesis