طراحی مدل بومی مدیریتی نظارت دیجیتال بانک مرکزی برای سیاست‌گذاری‌های آینده‌نگرانه در نظام بانکی ایران

نوع مقاله : مقاله پژوهشی( کیفی )

نویسندگان

1 گروه مدیریت دولتی، واحد بین المللی کیش، دانشگاه آزاد اسلامی، کیش، ایران

2 گروه مدیریت دولتی، واحد رامهرمز، دانشگاه آزاد اسلامی، رامهرمز، ایران

3 استاد، گروه مدیریت دولتی، دانشگاه پیام نور، تهران، ایران.

چکیده
هدف این پژوهش طراحی مدل بومی مدیریتی نظارت دیجیتال بانک مرکزی برای سیاست‌گذاری‌های آینده‌نگرانه در نظام بانکی ایران می‎با‎شد. این پژوهش، با اتخاذ رویکرد کیفی توصیفی-کاوشی به بررسی تجربیات و دیدگاه‌های کارشناسان می‌پردازد. جامعه آماری پژوهش شامل 20 نفر از مدیران ارشد بانک مرکزی ، بانک‌های دولتی و خصوصی، و متخصصان فین‌تک می باشد که با استفاده از روش نمونه گیری هدفمند انتخاب شدند. ابزار گردآوری اطلاعات مصاحبه نیمه ساختاریافته می باشد. برای تجزیه و تحلیل داده‌ها از نرم‌افزار مکس کیودا استفاده گردید. نتایج نشان داد ۱۸۴ کد اولیه که ۴۲ تم فرعی و سه بعد اصلی 1- ابعاد ساختاری، 2- ابعاد فرآیندی، و 3- ابعاد انسانی شناسایی شد. یافته‌های پژوهش حاکی از آن است که این مدل، پتانسیل کاهش ۴۰ درصدی ریسک‌های سیستمیک را داراست و با شرایط بومی ایران، از جمله تحریم‌های بین‌المللی و تنش‌های ژئوپلیتیکی، سازگار است. پژوهش حاضر، خلأ موجود در مدل‌های بومی‌شده نظارت دیجیتال را پر کرده و پیشنهادهایی عملی نظیر تصویب لایحه مقررات CBDC و اجرای برنامه‌های آموزشی سالانه CBI را ارائه می‌دهد. در نهایت، این مدل، چارچوبی استراتژیک برای سیاست‌گذاری‌های آینده‌نگرانه در نظام بانکی ایران فراهم می‌آورد و به تعالی پایداری مالی و نوآوری دیجیتال یاری می‌رساند.

کلیدواژه‌ها

موضوعات

عنوان مقاله English

Designing an indigenous managerial model of the Central Bank’s digital supervision for forward-looking policymaking in Iran’s banking system

نویسندگان English

Hamzeh Zohrabi 1
ALI RAEIS POOR 2
Seyedaliakbar Ahmadi 3
1 Department of Public Administration, Ki.C., Islamic Azad University, Kish, Iran
2 Department of Public Administration,Ramh.C,Islamic Azad University,Ramhormoz,Iran.
3 Professor, Department of Public Administration, Payame_ Noor University, Tehran, Iran
چکیده English

The aim of this study is to design an indigenous managerial model of the Central Bank’s digital supervision for forward‑looking policymaking in Iran’s banking system. This research adopts a qualitative descriptive–exploratory approach to examine the experiences and perspectives of experts. The study population consists of 20 senior managers from the Central Bank, state‑owned and private banks, as well as fintech specialists, who were selected through purposive sampling. Data were collected through semi‑structured interviews. The data were analyzed using MAXQDA software.The results revealed 184 initial codes, which were categorized into 42 sub‑themes and three main dimensions: (1) structural dimensions, (2) process dimensions, and (3) human dimensions. The findings indicate that the proposed model has the potential to reduce systemic risks by 40 percent and is compatible with Iran’s domestic conditions, including international sanctions and geopolitical tensions. This study addresses the existing gap in localized digital supervision models and offers practical recommendations such as the approval of the CBDC regulatory bill and the implementation of annual training programs by the Central Bank of Iran (CBI). Ultimately, the proposed model provides a strategic framework for forward‑looking policymaking in Iran’s banking system and contributes to enhancing financial sustainability and digital innovation.

کلیدواژه‌ها English

Banking Supervision
Electronic Banking
Structural Dimensions
Process Dimensions
Human Dimensions
Central Bank of Iran
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  • تاریخ دریافت 22 دی 1404
  • تاریخ بازنگری 07 اسفند 1404
  • تاریخ پذیرش 10 فروردین 1405