A model for strengthening banks with approach of antifragility to financial crises

Subject Areas : Journal of Investment Knowledge

Ebrahim Partovi ¹ , Mohammad hasan Maleki ^{2 *} , hosein Jahangirnia ³ , reza gholami jamkarani ⁴ , Seyyed kazem Chavoshi ⁵

1 - PhD Candidate, Department of Management, Qom branch, Islamic Azad University, Qom, Iran.
2 - Department of Management, Faculty of Management and Economics, University of Qom, Qom, Iran.
3 - Department of Accounting, Qom Branch, Islamic Azad University, Qom, Iran.
4 - Department of Accounting, Qom Branch, Islamic Azad University, Qom, Iran.
5 - Department of Business Management, Faculty of Management, Kharazami University, Tehran, Iran.

Received: 2021-03-27 Accepted : 2021-05-26 Published : 2024-06-21

Keywords: resilience, banking Strengthening, Financial crises, Anti-fragility, banking resilience,

Abstract :

The present study seeks to identify the factors affecting the strengthening of banks with the approach of antifragility and determine the priority of these factors and finally provide a solution to strengthen banks. The present study is mixed due to the use of qualitative and quantitative methods. The theoretical population of research is senior banking managers and experts in the field of resilience and economic resilience. The research sampling method was judgmental and non-probabilistic and samples were selected based on expertise in the field of research. Two tools of interview and questionnaire (expertise and SMART) were used to collect data. Binominal statistical test and SMART were used to analyze the research data. In the first stage, the effective factors on banking strengthening were extracted through literature systematic review and interviews with experts. Due to the large number of factors, low importance factors were eliminated by using Binominal test. The remaining 28 factors were classified into 6 main categories: risk acceptance, organizational structure, learning, high reliability, degree of system softness, and support mechanisms. Then, using the SMART, sub-factors were ranked in each category. According to the score of factors, the sub-criterion of the existence of stress analysis mechanisms in the risk acceptance factor has the highest priority. Sub-factors of system interchangeability, rational selection, creative destruction, holism, and the existence of support systems were given the highest priority in the remaining categories.

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