Analysis of the modeling of indicators affecting bank runs in the banking industry

Document Type : Research Paper

Authors

1 Department of Management, Shahid Ashrafi Esfahani University, Isfahan, Iran

2 Department of Management, University of Isfahan, Isfahan, Iran

3 Department of Marketing, Business Management Faculty, University of Tehran, Tehran, Iran

10.22075/ijnaa.2023.31857.4727

Abstract

This article aims to identify indicators affecting bank runs for their modeling in the banking industry (to predict, prevent, prepare, restrain, recover, improve, learn, and increase accuracy in bank run processes). For this purpose, the data extracted by the researchers from their previous research, which was collected with the theme analysis method, was used to test the 20 main indicators of this model using Interpretive Structural Modeling (ISM). Economic crises, microeconomic problems, and tax laws are the most effective indicators of a bank run. The lack of management of the 8 triggers intensifies the political crisis. With neglect and lack of planning in curbing previous crises, internal technology disruptions and technology crises occur. Ultimately, the combined pressure of the three previous crises brings the final blow to the social structure, and a social crisis occurs. It is suggested that banks use the proposed model of this research by forming bank-run management in their organizational chart and considering the 3 actions of pre-bank run, during bank run, and after bank run, the process of preparing and managing any emergency or unexpected situation. Plan the banks' business, shareholders, employees, customers, and income. Bank-run management helps banks maintain their professional reputation with customers, competitors, and industry managers during and after a crisis, ultimately increasing productivity during and after a crisis.

Keywords

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Articles in Press, Corrected Proof
Available Online from 30 January 2024
  • Receive Date: 28 June 2023
  • Revise Date: 21 September 2023
  • Accept Date: 16 November 2023