Document Type : Original Article
Authors
1
PhD Candidate, Financial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2
Associate Professor, Department of Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
3
Associate Professor, Department of Accounting, Borujerd Branch, Islamic Azad University, Borujerd, Iran
4
Associate Professor, Department of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Abstract
Abstract
The “Second Step of the Revolution” statement, as a charter for transformation in economic governance and combating corruption, has necessitated the establishment of efficient risk identification and management systems, especially for politically exposed persons (PEPs) in the Iranian financial system. The present study aimed to design a comprehensive framework for risk management of politically exposed persons, with a mixed approach (qualitative and quantitative) and based on grounded theory and structural equation modeling. First, qualitative data obtained from in-depth interviews with experts revealed the key dimensions of the model, and then, through a questionnaire and quantitative modeling, the proposed indicators and relationships were tested using financial experts and experts in the country. In the qualitative stage, by using the grounded theoretical framework and interviews with key experts in the fields of finance and banking, and analyzing specialized texts, the dimensions of the paradigmatic model of risk management of politically exposed persons were calculated. The model structure not only revealed the causal and contextual mechanisms of the Iranian financial market, but also explained the intervening conditions, efficient strategies, and final outcomes.
Finally, by combining qualitative and quantitative findings, a comprehensive paradigmatic model was presented as the final roadmap; a model that combines the strengths of hierarchy and specialization with the advantages of synergy and agility. By emphasizing the structured relationship between different levels as well as the role of political, economic, technological, and organizational factors, this model proposes evidence-based solutions and theoretical logic for preventing, identifying, and managing the risk of politically exposed persons.