Examining the Relationship between Risks Associated with Public-Private Partnership Projects in Emerging Markets Using Fuzzy Cognitive Mapping Methodology

Authors

    Nima Valizadeh Chari Ph.D. Student, Department of Industrial Management (Financial), Faculty Islamic Azad University, Science And Research Branch, Tehran, Iran
    Hoda Hemmati * Assistant Professor, Department of Accounting, Roudehen Branch, Islamic Azad University, Roudehen, Iran. hemmati.hoda@gmail.com
https://doi.org/10.61838/kman.ijimob.4.4.10

Keywords:

Public-Private Partnerships (PPPs), Risk, Emerging Markets, Fuzzy Cognitive Mapping

Abstract

Objective: The adoption of Public-Private Partnerships (PPPs) has sparked a surge in research interest in this area in recent years. This study aims to identify and prioritize the risks associated with PPP projects.

Methodology: A questionnaire was designed to assess the significance of each of the 35 research variables (risks) derived from the literature in explaining the risks associated with PPP projects. The respondents included experts in risk associated with PPP-based projects in emerging markets, specializing in policy making, production, sales, and export. These experts were considered knowledgeable due to their practical experience in management, expert, academic, and research activities related to risks and emerging projects and markets. Using purposive sampling and following a snowball method, semi-structured in-depth interviews were conducted with 19 experts until theoretical saturation was achieved.

Findings: The results were analyzed using the methodology of fuzzy cognitive maps, and the relationships between the research factors were examined.

Conclusion: The analysis revealed that financial constraints risk, demand risk, and government support risk are of high importance in the context of PPP projects.

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Published

2024-09-07

How to Cite

Valizadeh Chari, N., & Hemmati, H. . (2024). Examining the Relationship between Risks Associated with Public-Private Partnership Projects in Emerging Markets Using Fuzzy Cognitive Mapping Methodology. International Journal of Innovation Management and Organizational Behavior (IJIMOB), 4(4), 82-91. https://doi.org/10.61838/kman.ijimob.4.4.10