Main Digital Technologies Applied in Banking Services
DOI:
https://doi.org/10.14513/tge-jres.00647Keywords:
artificial intelligence, blockchain, big data, cybersecurity, mobile bankingAbstract
Purpose – This article examines the role of digital technologies in the transformation of banking services. It focuses on how innovations such as artificial intelligence, blockchain, cloud computing, and big data are improving operational processes and customer experience. The purpose of this study is to identify the main advantages, challenges, and emerging trends related to the digitalization of banking services.
Design/methodology/approach – This study adopts a qualitative and exploratory approach, conducting an in-depth analysis of the existing literature and industry reports. It examines the evolution of banking services from the traditional branch-based model to a digital ecosystem. It also assesses the adoption and impact of the main technological innovations in the banking services.
Findings – The study demonstrates that digital technologies significantly improve the customer experience by providing better accessibility, personalization, and real-time services. They also enhance operational efficiency by automating processes, reducing costs, and improving risk management. However, the study also identified significant challenges, including cybersecurity risks, data privacy concerns, and regulatory complexity. Furthermore, emerging trends such as fintech companies, neobanks, central bank digital currencies, and AI-powered automation are expected to continue to transform banking services.
Originality – This study provides a comprehensive and integrated view of the digitalization of banking services. It covers technological, operational, and strategic aspects. It also helps to better understand how banks and financial institutions can balance innovation with risk management as they adapt to the constantly changing digital environment.
References
Alnaser, F., Rahi, S., Alghizzawi, M. & Ngah, A. (2023). Does artificial intelligence (AI) boost digital banking user satisfaction? Integration of the expectation confirmation model and antecedents of artificial intelligence enabled digital banking. Heliyon, 9(8). https://doi.org/10.1016/j.heliyon.2023.e18930
Anholon, R., Carrión-Salazar, J., Minatogawa, V., Rojas-Córdova, C., Tapia-Ubeda, F. & Rampasso, I. (2025). Analysis of the challenges faced by the Latin American banking sector in the context of Big Data. Journal of Modelling in Management, 20(6), 2114–2135. https://doi.org/10.1108/JM2-11-2023-0264
Bouteraa, M., Al-Daihani, M., Chekima, B. & Baddou, A. (2026). Empirical analysis of blockchain integration and ESG moderation in sustainable digital transformation: Evidence from the banking sector. Journal of Strategy & Innovation, 37(1). https://doi.org/10.1016/j.jsinno.2026.200564
Cheng, M., Qu, Y., Jiang, C. & Zhao, C. (2022). Is cloud computing the digital solution to the future of banking? Journal of Financial Stability, Volume 63, December 2022. https://doi.org/10.1016/j.jfs.2022.101073
Daoud, S. & Anaya, L. (2025). Implementation of Robotic Process Automation in Jordanian Banking Sector: Benefits and Challenges. Procedia Computer Science, Volume 263, 471-480. https://doi.org/10.1016/j.procs.2025.07.057
He, W., Hung, J., & Liu, L. (2023). Impact of big data analytics on banking: a case study. Journal of Enterprise Information Management, 36(2), 459-479. https://doi.org/10.1108/JEIM-05-2020-0176
Hemingway, B. (2025). The role of central bank digital currency in an increasingly digital economy. Journal of Economic Dynamics and Control, Volume 179, October 2025. https://doi.org/10.1016/j.jedc.2025.105161
Horobets, N., Reznik, O., Maliyk, V., Vyhivskyi, I. & Bobrishova, L. (2025). Artificial intelligence technologies in banking: challenges and opportunities for anti-money laundering in the context of EU regulatory initiatives. Journal of Money Laundering Control, 28(4–5), 593–608. https://doi.org/10.1108/JMLC-03-2025-0041
Khass, O. & Valilaim O. (2026). Application of Generative AI-Based Robotic Process Automation to Alleviate Pain Points in Last-mile Delivery Operations. Procedia Computer Science, Volume 276, 289–296. https://doi.org/10.1016/j.procs.2026.02.034
Mansour, M., Albawwat, A., Marei, A. & Abozeid, H. (2026). Cybersecurity disclosure and digital maturity as strategic drivers of banking performance: Evidence from Europe. International Journal of Information Management Data Insights, 6(1). https://doi.org/10.1016/j.jjimei.2026.100403
Martins, C., Mamede, H. & Silva, M. (2026). A lean approach to robotic process automation in banking. Heliyon, 9(7). https://doi.org/10.1016/j.heliyon.2023.e18041
Modesti, P., Freitas, L., Shotomiwa, Q. & Almehrej, A. (2025). Security analysis of the open banking account and transaction API protocol. Cyber Security and Applications, Volume 3, December 2025. https://doi.org/10.1016/j.csa.2025.100097
Moharrak, M. & Mogaji, E. (2024). Generative AI in banking: empirical insights on integration, challenges and opportunities in a regulated industry. International Journal of Bank Marketing, 43(4), 871-896. https://doi.org/10.1108/IJBM-08-2024-0490
Palos-Sánchez, P., Chang-Tam, R. & Folgado-Fernández, J. (2025). The role of Neobanks and FinTech in sustainable finance and technology. The customer/user perspective for entrepreneurs. Sustainable Technology and Entrepreneurship, 4(3). https://doi.org/10.1016/j.stae.2025.100109
Patel, R., Migliavacca, M. & Oriani, M. (2022). Blockchain in banking and finance: A bibliometric review. Research in International Business and Finance, Volume 62, December 2022. https://doi.org/10.1016/j.ribaf.2022.101718
Rupeika-Apoga, R., Priede, J., Berzins, G. & Kehris , E. (2025). Regulation and innovation in digital finance: The transformation of Latvia's banking sector. Digital Business, 5(2). https://doi.org/10.1016/j.digbus.2025.100147
Ryan, M. & Mukherjee, A. (2026). Open banking and digital financial inclusion: Early evidence. Economics Letters, Volume 263, April 2026. https://doi.org/10.1016/j.econlet.2026.112931
Said, Y., Khaddar, A., Hassine, L., Eddaoui, A. & Chafiq, T. (2026). The impact of blockchain on the banking sector: A systematic review of applications, challenges, and future directions. Asia and the Global Economy, 6(1). https://doi.org/10.1016/j.aglobe.2025.100133
Singh, J., Singh, G., Gahlawat, M., & Prabha, C. (2022). Big Data as a Service and Application for Indian Banking Sector. Procedia Computer Science, Volume 215, 878–887. https://doi.org/10.1016/j.procs.2022.12.090
Sonehekpon, E. (2025). Effect of artificial intelligence on banking stability: Evidence from developed countries. Finance Research Open, 1(4). https://doi.org/10.1016/j.finr.2025.100074
Vinoth, S., Vemula, H., Haralayya, B., Mamgain, P., Hasan, M., & Naved, M. (2022). Application of cloud computing in banking and e-commerce and related security threats. Materials today: proceedings, 51(8), 2172–2175. https://doi.org/10.1016/j.matpr.2021.11.121
Wang, S., Asif, M., Shahzad, M., Ashfaq, M. (2024). Data privacy and cybersecurity challenges in the digital transformation of the banking sector. Computers & Security, Volume 147, December 2024. https://doi.org/10.1016/j.cose.2024.104051
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Nizami Khudiyev, Ragib Mammadli (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All articles published in the Tér- Gazdaság - Ember / Journal of Region, Economy and Society are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
This permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided that the original work is properly cited.
How to Cite
