Customer trust in artificial intelligence applied to banking services: trends and research agenda

Authors

DOI:

https://doi.org/10.58763/rc2026520

Keywords:

Artificial Intelligence, Banking Services, Customer Trust, Technology Adoption, Risk Perception, Research Agenda

Abstract

Introduction: This study conducted a literature review based on scientific articles related to Artificial Intelligence, banking services, and customer trust, given that AI has become a phenomenon of growing research interest due to its transformative potential. Furthermore, the banking sector, where customers are the central focus, was considered, and customer trust, sensitive to the changes generated by innovation, was included. The main objective was to conduct a literature review of scientific articles on artificial intelligence in banking services to identify its effect on customer trust, trends, and lines of research. Methodology: The methodology was developed within the positivist paradigm, using a non-experimental, quantitative-descriptive research approach, which allowed for the review of databases. Results: The results identified the determining factors for the acceptance of AI with an impact on critical dimensions. Conclusions: It was concluded that AI generates innovation in banking services with positive effects on customer satisfaction. Future research should include longitudinal studies, comparative analysis between different customer segments, and evaluation of AI's effectiveness in relation to the environment with which it interacts.

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References

Abbas, J., Balsalobre-Lorente, D., Amjid, M. A., Al-Sulaiti, K., Al-Sulaiti, I., & Aldereai, O. (2024). Financial innovation and digitalization promote business growth: The interplay of green technology innovation, product market competition and firm performance. Innovation and Green Development, 3(1), 100111. https://doi.org/10.1016/j.igd.2023.100111

Abdeljawad, I., Alia, M. A., Kharoub, T., & Abulrub, S. (2025). The Impact of AI on Customer Service and Financial Decision-Making: The Perceptions of Bank Clients. En A. M. A. Musleh Al-Sartawi, A. I. Nour, & I. Abdeljawad (Eds.), Business Resilience and Business Innovation for Sustainability (Vol. 587, pp. 845–861). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-87584-7_60

Abueid, A. I., Mohammad, S. I., Mohammad, A. A. S., Vasudevan, A., Al Sarayreh, A., Alrfai, M. M., Aldaihani, F. M. F., Al-Momani, A. M., & Saraireh, S. (2025). Digital Finance and Fintech Innovations Towards Disrupting Finance Innovation. En A. Al-Sartawi & H. Ghura (Eds.), Artificial Intelligence, Sustainable Technologies, and Business Innovation: Opportunities and Challenges of Digital Transformation (Vol. 1171, pp. 17–31). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-77925-1_2

Adam, M., Wessel, M., & Benlian, A. (2021). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 31(2), 427–445. https://doi.org/10.1007/s12525-020-00414-7

Alaamer, A., & Prasanth, A. (2024). Human-AI Interaction in FinTech: The Prospects and Risks of Using Chatbots as Conversational Agents in Financial Customer Service. En M. Al Mubarak & A. Hamdan (Eds.), Innovative and Intelligent Digital Technologies; Towards an Increased Efficiency (Vol. 569, pp. 489–502). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-71649-2_42

Alquqa, E. K. (2026). Revolutionising Business Intelligence in Banking: The Mediating Role of Fifth Industrial Revolution Technology in Artificial Intelligence Integration in the Commercial Sector. En H. M. Alzoubi & S. Joghee (Eds.), Integrating 4IR and 5IR Technologies for Digital Business Innovation (pp. 137–148). Emerald Publishing Limited. https://doi.org/10.1108/978-1-83608-578-220251011

Alshurideh, M. T., Ahmed, G., Shrouf, H., Shwedeh, F., & Alzoubi, H. M. (2026). Leveraging Artificial Intelligence and Data Analytics for Digital Innovation: Insights from Banking Sector. En H. M. Alzoubi & S. Joghee (Eds.), Integrating 4IR and 5IR Technologies for Digital Business Innovation (pp. 81–93). Emerald Publishing Limited. https://doi.org/10.1108/978-1-83608-578-220251007

Banco Mundial. (2025). Servicios financieros digitales inclusivos [Portal corporativo del Banco Mundial]. Servicios Financieros Digitales Inclusivos. https://www.worldbank.org/

Belanche, D., Casaló, L. V., Flavián, C., & Schepers, J. (2020). Service robot implementation: A theoretical framework and research agenda. The Service Industries Journal, 40(3–4), 203–225. https://doi.org/10.1080/02642069.2019.1672666

Bhattacharya, C., & Sinha, M. (2022). The Role of Artificial Intelligence in Banking for Leveraging Customer Experience. Australasian Business, Accounting and Finance Journal, 16(5), 89–105. https://doi.org/10.14453/aabfj.v16i5.07

Bilgihan, A., Ostinelli, M. (Max), Zhang, Y., & Lorenz, M. (2025). Artificial intelligence (AI) agents and the future of customer loyalty. International Journal of Contemporary Hospitality Management, 37(9), 3240–3262. https://doi.org/10.1108/IJCHM-03-2025-0373

Briones, G. (1996). Epistemología de las ciencias sociales. INSTITUTO COLOMBIANO PARA EL FOMENTO DE LA EDUCACIÓN SUPERIOR, ICFES.

Bussmann, N., Giudici, P., Marinelli, D., & Papenbrock, J. (2021). Explainable Machine Learning in Credit Risk Management. Computational Economics, 57(1), 203–216. https://doi.org/10.1007/s10614-020-10042-0

Cil, A. E., & Yildiz, K. (2025). A systematic literature review on applications of explainable artificial intelligence in the financial sector. Internet of Things, 33, 101696. https://doi.org/10.1016/j.iot.2025.101696

Comisión para el Mercado Financiero. (2025). EDUCA Portal de Educación Financiera [Portal de Educación Financiera]. EDUCA Portal de Educación Financiera. https://www.cmfchile.cl/educa/621/w3-channel.html

Comunidad de Madrid. (2024). Productos y servicios bancarios [Portal informativo de la Comunidad de Madrid]. Productos y servicios bancarios. https://www.comunidad.madrid/

Dixit, P., Kohli, R., Acevedo-Duque, A., Gonzalez-Diaz, R. R., & Jhaveri, R. H. (2021). Comparing and Analyzing Applications of Intelligent Techniques in Cyberattack Detection. Security and Communication Networks, 2021, 1–23. https://doi.org/10.1155/2021/5561816

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070

Fernández, A. (2019). Inteligencia artificial en los servicios financieros.

Foroudi, P., Robson, M. J., Marvi, R., & Spyropoulou, S. (2026). Enhancing Customer Engagement Through Artificial Intelligence Authenticity. Journal of Product Innovation Management, 43(1), 76–98. https://doi.org/10.1111/jpim.70008

Ganesh, C. N., Rani, M. S., Pradeep, S., Dahiya, R., Gupta, A., & Veeraiah, V. (2025). Optimizing Customer Relationship Management (CRM) Systems Using Advanced Machine Learning Algorithms. 2025 Seventh International Conference on Computational Intelligence andCommunication Technologies (CCICT), 215–220. https://doi.org/10.1109/CCICT65753.2025.00042

Gursoy, D., & Cai, R. (2025). Artificial intelligence: An overview of research trends and future directions. International Journal of Contemporary Hospitality Management, 37(1), 1–17. https://doi.org/10.1108/IJCHM-03-2024-0322

Hakimi, T. I., Jaafar, J. A., & Aziz, N. A. A. (2023). What factors influence the usage of mobile banking among digital natives? Journal of Financial Services Marketing, 28(4), 763–778. https://doi.org/10.1057/s41264-023-00212-0

Han, N., Guo, H., Zhang, B., Huang, Z., Zhou, Y., Weidenkaff, A., & Chen, G. (2026). Artificial intelligence as a driver of sustainable materials and circularity. Nature Reviews Materials, 11(7), 510–512. https://doi.org/10.1038/s41578-026-00912-8

Huang, M.-H., & Rust, R. T. (2018). Artificial Intelligence in Service. Journal of Service Research, 21(2), 155–172. https://doi.org/10.1177/1094670517752459

Huang, M.-H., & Rust, R. T. (2021). Engaged to a Robot? The Role of AI in Service. Journal of Service Research, 24(1), 30–41. https://doi.org/10.1177/1094670520902266

Iqbal, M. N., & Jan, M. T. (2025). AI-Powered Business Strategies for Enhancing Consumer Behavior and Brand Loyalty in the Bancassurance Sector: En R. Sharma, T. Maqableh, F. Rabby, R. Sharma, & R. Bansal (Eds.), Advances in Marketing, Customer Relationship Management, and E-Services (pp. 101–132). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-9954-5.ch006

Kumar, J., & Rani, V. (2025). Financial innovation and gender dynamics: A comparative study of male and female FinTech adoption in emerging economies. International Journal of Accounting & Information Management, 33(2), 334–353. https://doi.org/10.1108/IJAIM-03-2024-0098

Kumar, J., Rani, V., Rani, G., & Sandhu, K. (2025). What attracts me or prevents me from using AI-enabled neo-banking services? Unveiling the nexus between service quality and customer loyalty. International Journal of Quality & Reliability Management, 42(10), 2793–2814. https://doi.org/10.1108/IJQRM-11-2024-0421

Larrán Jorge, M., & Muriel de los Reyes, M. J. (2007). LA BANCA POR INTERNET COMO INNOVACIÓN TECNOLÓGICA EN EL SECTOR BANCARIO. 13.

Lévy Mangin, J.-P., Bourgault, N., Calvo Porral, C., & Trudel, M. (2020). La influencia de la confianza y satisfacción del cliente en la intención de uso de los servicios bancarios por internet: Un modelo estructural. CIENCIA ergo sum, 27(2), 1–23. https://doi.org/10.30878/ces.v27n2a3

Lissillour, R., & Sahut, J.-M. (2026). What future for AI chatbots in banking: From current challenges to mirages? Information Technology & People, 39(5), 2027–2062. https://doi.org/10.1108/ITP-01-2025-0008

Lu, V. N., Wirtz, J., Kunz, W. H., Paluch, S., Gruber, T., Martins, A., & Patterson, P. G. (2020). Service robots, customers and service employees: What can we learn from the academic literature and where are the gaps? Journal of Service Theory and Practice, 30(3), 361–391. https://doi.org/10.1108/JSTP-04-2019-0088

Mancuso, I., Petruzzelli, A. M., Panniello, U., & Vaia, G. (2025). Business model innovation in the banking sector: How digital technologies transform innovation drivers in value mechanisms innovations. Journal of Engineering and Technology Management, 75, 101858. https://doi.org/10.1016/j.jengtecman.2024.101858

Manser Payne, E., Peltier, J. W., & Barger, V. A. (2018). Mobile banking and AI-enabled mobile banking: The differential effects of technological and non-technological factors on digital natives’ perceptions and behavior. Journal of Research in Interactive Marketing, 12(3), 328–346. https://doi.org/10.1108/JRIM-07-2018-0087

Mas, I., & Siedek, H. (2008). Servicios bancarios a tráves de redes de establecimientos minoristas (No. 47). CGAP.

Mukherjee, D., Lim, W. M., Kumar, S., & Donthu, N. (2022). Guidelines for advancing theory and practice through bibliometric research. Journal of Business Research, 148, 101–115. https://doi.org/10.1016/j.jbusres.2022.04.042

Naimi-Sadigh, A., Asgari, T., & Rabiei, M. (2022). Digital Transformation in the Value Chain Disruption of Banking Services. Journal of the Knowledge Economy, 13(2), 1212–1242. https://doi.org/10.1007/s13132-021-00759-0

Narasapuram, N. K., Shah, S. A. A., Shiratuddin, M. F., & Sohel, F. (2026). Explainable artificial intelligence models for detecting suspicious bank transactions. International Journal of Machine Learning and Cybernetics, 17(3), 111. https://doi.org/10.1007/s13042-026-02994-w

Northey, G., Hunter, V., Mulcahy, R., Choong, K., & Mehmet, M. (2022). Man vs machine: How artificial intelligence in banking influences consumer belief in financial advice. International Journal of Bank Marketing, 40(6), 1182–1199. https://doi.org/10.1108/IJBM-09-2021-0439

Norzelan, N. A., Mohamed, I. S., & Mohamad, M. (2024). Technology acceptance of artificial intelligence (AI) among heads of finance and accounting units in the shared service industry. Technological Forecasting and Social Change, 198, 123022. https://doi.org/10.1016/j.techfore.2023.123022

Othayoth, P. K., & Khanna, S. (2025). Implementation of Artificial Intelligence and Chatbot for the Enhancement of New Age Banking Systems: A Systematic Review. En S. Dutta, Á. Rocha, A. K. Agarwal, R. G. Tiwari, & A. Bhattacharya (Eds.), Generative AI in FinTech: Revolutionizing Finance Through Intelligent Algorithms (Vol. 26, pp. 1–19). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-76957-3_1

Rabbani, M. R., Lutfi, A., Ashraf, M. A., Nawaz, N., & Ahmad Watto, W. (2023). Role of artificial intelligence in moderating the innovative financial process of the banking sector: A research based on structural equation modeling. Frontiers in Environmental Science, 10, 978691. https://doi.org/10.3389/fenvs.2022.978691

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

Reinartz, W. J. (2026). Customer Relationship Management: Past, Present, and Future. International Journal of Research in Marketing, 43(1), 8–27. https://doi.org/10.1016/j.ijresmar.2025.12.001

Roongruangsee, R., & Patterson, P. (2024). Engaging Robo-advisors in Financial Advisory Services: The Role of Psychological Comfort and Client Psychological Characteristics. Australasian Marketing Journal, 32(4), 339–354. https://doi.org/10.1177/14413582231195990

Ruiz-Real, J. L., Uribe-Toril, J., Torres, J. A., & De Pablo, J. (2020). ARTIFICIAL INTELLIGENCE IN BUSINESS AND ECONOMICS RESEARCH: TRENDS AND FUTURE. Journal of Business Economics and Management, 22(1), 98–117. https://doi.org/10.3846/jbem.2020.13641

Russell, S., & Norvig, P. (2004). INTELIGENCIA ARTIFICIAL. UN ENFOQUE MODERNO (Segunda edición). PEARSON EDUCACIÓN, S.A.

Sánchez Castillo, V., Pérez Gamboa, A. J., & Gómez Cano, C. A. (2024). Trends and evolution of Scientometric and Bibliometric research in the SCOPUS database. Bibliotecas. Anales de investigación, 20(1), 1. https://dialnet.unirioja.es/servlet/articulo?codigo=9740327

Torres-Salinas, D. (2020). Ritmo de crecimiento diario de la producción científica sobre Covid-19. Análisis en bases de datos y repositorios en acceso abierto. El Profesional de la Información, 29(2). https://doi.org/10.3145/epi.2020.mar.15

Tuge, N. B., & Msweli, N. T. (2026). Explainable Artificial Intelligence in the Banking Sector: A Systematic Literature Review. Applied Artificial Intelligence, 40(1), 2676353. https://doi.org/10.1080/08839514.2026.2676353

Yuan, J., Shah, S. K., Popp, J., & Acevedo-Duque, A. (2024). Understanding the Forced Adoption of an AI-Based Health Code System in China. Amfiteatru Economic, 26(66), 550. https://doi.org/10.24818/EA/2024/66/550

Yuniawan, A., Hersugondo, H., Mas’ud, F., Latan, H., & Renwick, D. W. S. (2025). Determinants of artificial intelligence adoption in the financial services industry: Understanding employees’ perspectives. International Journal of Information Management Data Insights, 5(2), 100371. https://doi.org/10.1016/j.jjimei.2025.100371

Published

2026-01-02

How to Cite

Padilla Hernández, S. G. (2026). Customer trust in artificial intelligence applied to banking services: trends and research agenda. Región Científica, 5(1), 2026520. https://doi.org/10.58763/rc2026520

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Section

Review article