Enhancing Sustainable Social Banking Performance through Artificial Intelligence: A System Dynamics Analysis of Iranian Cooperative Banks

Document Type : Research Article

Authors

• ramin khoshchehreh mohammadi
• Mehrdad Hosseini Shakib
• mahmood khodam
• Ali Ramezani

Department of Industrial Management, Ka.C., Islamic Azad University, Karaj, Iran.

10.22067/jstinp.2025.93087.1152

Abstract

With the expansion of innovative technologies, the banking industry has faced profound transformations. Artificial intelligence, as one of the most significant of these technologies, has the potential to transform the nature of banking services; however, its impact on social banking, particularly in cooperative banks, has received less attention. This research aims to investigate the impact of artificial intelligence functions on the performance of social banking in Iranian cooperative banks, utilizing a system dynamics approach. The study adopts a mixed approach (qualitative-quantitative). In the qualitative section, key variables were identified using an expert panel, and in the quantitative section, a system dynamics model was developed using Vensim software. The stock-flow model simulated the relationships between main variables, including sustainable development, bank reputation, unpredictable liquidity, non-performing loans, and artificial intelligence infrastructure, over 10 years (2021-2031). The results of the sensitivity analysis and scenario development demonstrated that strategic investments in artificial intelligence infrastructure, enhanced data protection protocols, and improved financial transparency contribute significantly to an enhanced bank reputation, substantially reduce unpredictable liquidity fluctuations, and notably decrease non-performing loans, thereby supporting sustainable banking operations. Model validation tests, including boundary conditions tests, structural tests, uncertainty tests, and integration tests, confirmed the accuracy of the relationships. This model can serve as a tool for decision-making and policy-making regarding the application of artificial intelligence in the country's social banking system. 

Keywords

• Social banking
• Artificial intelligence
• System Dynamics
• Liquidity
• Cooperative banks

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References

Musleh Al-Sartawi, A.M., Hussainey, K. and Razzaque, A., 2022. The role of artificial intelligence in sustainable finance. Journal of Sustainable Finance & Investment, pp.1-6. https://doi.org/10.1080/20430795.2022.2057405.

Al-Sartawi, A.M.M. ed., 2022. Artificial Intelligence for Sustainable Finance and Sustainable Technology: Proceedings of ICGER 2021 (Vol. 423). Springer Nature. http://dx.doi.org/10.1007/978-3-030-93464-4.

Amiri, M., Radfar, R. and Faezi Razi, F., 2022. Presenting a model of Social Banking effect on reducing the financial conflict between banks and manufacturing firms using the fuzzy Dimatel technique: A study on Resalat Qarz al-Hasana Bank. Iranian journal of management sciences, 17(67), pp.27-46.[In Persian].

Andrikopoulos, A., 2020. Delineating social finance. International Review of Financial Analysis, 70, p.101519. https://doi.org/10.1016/j.irfa.2020.101519.

Bushman, R.M. and Smith, A.J., 2001. Financial accounting information and corporate governance. Journal of accounting and Economics, 32(1-3), pp.237-333. https://doi.org/10.1016/S0165-4101(01)00027-1.

Castelli, M., Manzoni, L. and Popovič, A., 2016. An artificial intelligence system to predict quality of service in banking organizations. Computational intelligence and neuroscience, 2016(1), p.9139380. https://doi.org/10.1155/2016/9139380.

Davenport, T.H. and Ronanki, R., 2018. Artificial intelligence for the real world. Harvard business review, 96(1), pp.108-116.

de Andreis, F., Comite, U., Gallo, A.M., Andone, D.M. and Ciaschi, G., 2024. Social business, artificial intelligence, and sustainability: An integrated approach for the future. Sustainable Economies, 2(1), pp.18-18. https://doi.org/10.62617/se.v2i1.18 .

Degregori, G., Brescia, V., Calandra, D. and Secinaro, S., 2025. Evaluating sustainability reporting in SMEs: insights from an ethical cooperative bank’s approach. Journal of Global Responsibility, (ahead-of-print). https://doi.org/10.1108/JGR-10-2024-0197.

Fombrun, C.J., 1996. Reputation: Realizing value from the corporate image. Harvard Business School.

Fourie, L. and Bennett, T., 2019. Super intelligent financial services. Journal of payments strategy & systems, 13(2), pp.151-164. http://dx.doi.org/10.69554/ITYX9650.

Gautam, T., Srivastava, A. and Jain, S., 2024. Efficiency evaluation of state cooperative banks employing data envelopment analysis and neural network technique. International Journal of Business Process Integration and Management, 11(3), pp.179-185. https://doi.org/10.1504/IJBPIM.2024.140141.

Gitman, L.J. and Zutter, C.J., 2015. Principles of managerial finance, 14th Edition. Pearson.

Gyau, E.B., Appiah, M., Gyamfi, B.A., Achie, T. and Naeem, M.A., 2024. Transforming banking: Examining the role of AI technology innovation in boosting banks financial performance. International Review of Financial Analysis, 96, p.103700. https://doi.org/10.1016/j.irfa.2024.103700.

Iannaci, D. and Gideon, M.J., 2020. Islamic finance and social finance, an opportunity for social enterprises. European Journal of Islamic Finance, 1, pp.1-12. https://doi.org/10.13135/2421-2172/4242.

Jakšič, M. and Marinč, M., 2019. Relationship banking and information technology: The role of artificial intelligence and FinTech. Risk Management, 21(1), pp.1-18. http://dx.doi.org/10.2139/ssrn.3059426.

Karki, U., Kumar, A. and Sharma, D., 2025. Banking in sustainability: an integrated MCDM framework for evaluating the environmental, social, and governance (ESG) sustainable banking performance. Global Knowledge, Memory and Communication. https://doi.org/10.1108/GKMC-04-2024-0241.

Kil, K., Ciukaj, R. and Chrzanowska, J., 2021. Scoring models and credit risk: The case of cooperative banks in Poland. Risks, 9(7), p.132. https://doi.org/10.3390/risks9070132.

Koch TW, MacDonald SS. 2014. Bank Management. 8th Edition. South-Western Cengage Learning.

Korzeb, Z., Niedziółka, P., Szpilko, D. and De la Torre, A., 2024. A bibliometric analysis of ESG performance in the cooperative banks: from the current status to future directions. Economics and Environment, 89(2), p. 809.  https://doi.org/10.34659/eis.2024.89.2.809.

Masoudi S, Cheshmi A and Razmi SMJ., 2021. An analysis of the impact of financial supervision quality on credit risk in Iranian banks using panel quantile regression. Journal of Monetary and Banking Research. 14(48) , pp. 395–420. [In Persian].

Mishkin, F.S., 2019. The economics of money, banking, and financial markets. 12th Edition. Pearson Pearson education.

Nethala, V.J., Pathan, M.F.I. and Sekhar, M.S.C., 2022. A study on cooperative banks in India with special reference to marketing strategies. Journal of Contemporary Issues in Business and Government Vol, 28(04). https://doi.org/10.47750/cibg.2022.28.04.041.

Ozili, P.K., 2025. Financial inclusion in banking: A literature review and future research directions. https://doi.org/10.61351/mf.v3i1.236.

Parasuraman, A.B.L.L., Zeithaml, V.A. and Berry, L., 1988. SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. 1988, 64(1), pp.12-40.

Pérez, M.E.S., 2017. SEBI index: Measuring the commitment to the principles of social banking. Contaduría y Administración, 62(4), pp.1393-1407. https://doi.org/10.1016/j.cya.2017.06.015.

Radhakrishna, V., Ravi, H., Elango, S., Divyashree, V., Jaganathan, A. and Ponnusamy, M., 2024. Future of knowledge management in investment banking: Role of personal intelligent assistants. Methodological Innovations, 17(4), pp.229-247. https://doi.org/10.1177/20597991241287118.

Rahman, M., Ming, T.H., Baigh, T.A. and Sarker, M., 2023. Adoption of artificial intelligence in banking services: an empirical analysis. International Journal of Emerging Markets, 18(10), pp.4270-4300. https://doi.org/10.1108/IJOEM-06-2020-0724.

Reputation Institute., 2020. Global RepTrak 100: The World's Most Reputable Companies. Reputation Institute.

Ross, SA., Westerfield RW. and Jaffe J., 2019. Corporate Finance. 12th Edition. McGraw-Hill Education.

Sadok, H., Sakka, F. and El Maknouzi, M.E.H., 2022. Artificial intelligence and bank credit analysis: A review. Cogent Economics & Finance, 10(1), p.2023262. https://doi.org/10.1080/23322039.2021.2023262.

Saunders, A. and Allen, L., 2010. Credit risk management in and out of the financial crisis: new approaches to value at risk and other paradigms. John Wiley & Sons. https://doi.org/10.1002/9781118267981.

Stavropoulou, E., Spinthiropoulos, K., Garefalakis, A., Ragazou, K. and Gonidakis, F., 2023. The role of social banking in the success and sustainable business continuity of SSMEs. International Journal of Financial Studies, 11(3), p.86. https://doi.org/10.3390/ijfs11030086.

Sterman, J.D., 2000. Business Dynamics: Systems thinking and modeling for a complex world. MacGraw-Hill Company.

Su, X. and Wang, Y., 2025. Factor conditions and capability building of artificial intelligence empowered digital transformation in the banking sector: a case study of a Chinese bank. International Journal of Technology Management, 97(2-3), pp.162-194. https://doi.org/10.1504/IJTM.2025.143587.

Terko, A., Žunić, E., Ðonko, D. and Dželihodžić, A., 2019, October. Credit scoring model implementation in a microfinance context. In 2019 XXVII International Conference on Information, Communication and Automation Technologies (ICAT) (pp. 1-6). IEEE. http://dx.doi.org/10.1109/ICAT47117.2019.8939036.

Thongsri, N. and Tripak, O., 2024. Does social banking matter in times of crisis? Evidence from the COVID-19 pandemic: a combined SEM-neural network approach. International Journal of Social Economics, 51(2), pp.227-247. https://doi.org/10.1108/IJSE-10-2022-0709.

Venanzi, D. and Matteucci, P., 2022. The largest cooperative banks in Continental Europe: a sustainable model of banking. International Journal of Sustainable Development & World Ecology, 29(1), pp.84-97. https://doi.org/10.1080/13504509.2021.1919784.

Zamany, A., Khamseh, A. and Iranbanfard, S., 2024. Unveiling the Landscape of High-Tech Transfer in Industry 5.0: A Text Mining Exploration. Journal of AI and Data Mining, 12(3), pp.369-392. https://doi.org/10.22044/jadm.2024.14580.2558.