Presenting a cybersecurity model in electronic banking

Document Type : Original Article

Authors

1 PhD Student, Department of Information Technology Management, CT.C, Islamic Azad University, Tehran, Iran

2 Associate Professor, Department of Business Administration, CT.C, Islamic Azad University, Tehran, Iran

3 Assistant Professor, Department of Public Administration, CT.C, Islamic Azad University, Tehran, Iran

4 Assistant Professor, Department of Financial Management and Accounting, ST.C, Islamic Azad University, Tehran, Iran

Abstract

This research was a fundamental research in terms of purpose. The analysis of the present study was conducted qualitatively using the grounded theory approach. The statistical population consisted of 15 experts in the field of electronic banking and cybersecurity. The sampling method was purposive. The data collection tool was semi-structured interviews with semi-open-ended questions, for which the opinions of the supervisors and consultants were used. In this research, ATLAS TI software was used for qualitative content analysis. In this study, the interviews were first rewritten and analyzed, and then in subsequent interviews, an attempt was made to identify subcategories and the relationships between them using axial coding for theoretical saturation and better understanding of the subject. Using selective coding and with internal consistency and determining the dimensional levels of the categories, the relationships between the concepts were validated. Accordingly, the linear relationship between the research categories, including the central category, causal conditions, underlying conditions, intervening conditions, strategies, and consequences, was determined, and finally, the qualitative research model was presented.

Keywords

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References

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Passive Defense
Volume 16, Issue 3 - Serial Number 63
Serial number 63. Autumn 2025
October 2025
Pages 39-54

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History

  • Receive Date: 08 January 2025
  • Revise Date: 23 June 2025
  • Accept Date: 20 September 2025
  • Publish Date: 22 October 2025

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