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Sustainable Automation in Financial Services: Evaluating Chatbot Efficiency, Equity, and Experience in Costa Rica’s Digital Transformation Cover

Sustainable Automation in Financial Services: Evaluating Chatbot Efficiency, Equity, and Experience in Costa Rica’s Digital Transformation

Open Access
|Jul 2026

References

  1. Accenture. (2023). The rise of chatbots in Latin America: Driving customer engagement and efficiency. Accenture Insights. https://www.accenture.com/usen/insights/banking/chatbots-latin-america
  2. Arbuckle, J. L. (2022). IBM SPSS Amos 29 User’s Guide. IBM Corporation.
  3. Bazrkar, A., Moradzad, M., & Shayegan, S. (2024). The use of artificial intelligence in employee recruitment in the furniture industry of Iran, according to the role of contextual factors. Studia Universitatis Vasile Goldiș Arad, Seria Științe Economice, 34(2), 86-109. https://doi.org/10.2478/sues-2024-0009
  4. Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2023). On the dangers of stochastic parrots: Can language models be too big? Communications of the ACM, 66(3), 56–65. https://doi.org/10.1145/3568252
  5. Cheng, J., Navarro, C., & López, D. (2023). Hybrid customer service models in Latin American banking. Journal of Financial Services Technology, 15(2), 77–95. https://doi.org/10.1016/j.jfst.2023.04.005
  6. Chinnaraju, A. (2025). Explainable AI (XAI) for trustworthy and transparent decision-making: A theoretical framework for AI interpretability. World Journal of Advanced Engineering Technology and Sciences, 14(3), 170-207. https://doi.org/10.30574/wjaets.2025.14.3.0106
  7. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
  8. Dwivedi, Y. K., Hughes, D. L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., & Williams, M. D. (2023). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice, and policy. International Journal of Information Management, 71, 102456. https://doi.org/10.1016/j.ijinfomgt.2022.102456
  9. Eustaquio-Jiménez R, DurandAzurza M, Gamboa-Cruzado J, et al. (2024). Chatbots for customer service in financial entities—A comprehensive systematic review. Journal of Infrastructure, Policy and Development. 8(16): 10122. https://doi.org/10.24294/jipd10122
  10. Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses. Behavior research methods, 41(4), 1149-1160. https://doi.org/10.3758/BRM.41.4.1149
  11. Følstad, A., & Taylor, C. (2021). Investigating the user experience of customer service chatbot interaction: a framework for qualitative analysis of chatbot dialogues. Quality and User Experience, 6(1), 6. https://doi.org/10.1007/s41233-021-00046-5
  12. Fonseca, A. (2022). The benefits and perils of digital and automated technologies: impact assessment methods in the fourth industrial revolution. Handbook of Environmental Impact Assessment, 126-145. https://doi.org/10.4337/9781800379633.00013
  13. Gartner. (2023). Forecast analysis: AI in banking and investment services, worldwide. Gartner Research. https://www.gartner.com/en/documents/4107819
  14. Haugeland, I. K. F., Følstad, A., Taylor, C., & Bjørkli, C. A. (2022). Understanding the user experience of customer service chatbots: An experimental study of chatbot interaction design. International Journal of Human-Computer Studies, 161, 102788. https://doi.org/10.1016/j.ijhcs.2022.102788
  15. Hsu, C. L., & Lin, J. C. C. (2023). Understanding the user satisfaction and loyalty of customer service chatbots. Journal of Retailing and Consumer Services, 71, 103211. https://doi.org/10.1016/j.jretconser.2022.103211
  16. Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50. https://doi.org/10.1007/s11747-020-00749-9
  17. Hyndman, R. J., & Athanasopoulos, G. (2018). Forecasting: Principles and Practice (2nd ed.). OTexts. https://otexts.com/fpp2/
  18. Inter-American Development Bank (IDB). (2023). Digital banking adoption in Latin America: Insights from Costa Rica. IDB Publications. https://publications.iadb.org/en/digital-banking-latin-america
  19. Jiang, N., Liu, X., Liu, H., Lim, E. T. K., Tan, C. W., & Gu, J. (2023). Beyond AI-powered context-aware services: the role of human–AI collaboration. Industrial Management & Data Systems, 123(11), 2771-2802. https://doi.org/10.1108/IMDS-03-2022-0152
  20. Kulkarni, A., Arora, M., & Johnson, D. (2023). Emotional intelligence and trust in AI-powered customer interactions. Journal of Service Research, 26(1), 55–71. https://doi.org/10.1177/10946705221076147
  21. Liao, Q. V., Gruen, D. M., & Miller, S. (2023). Questioning the AI: Informing design practices for explainable AI user experiences. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW2), 1–24. https://doi.org/10.1145/3610495
  22. Lu, V. N., Wirtz, J., Kunz, W. H., Paluch, S., Gruber, T., Martins, A., & Patterson, P.
  23. 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
  24. Mariani, M. M., Borghi, M., & Kazlauskaitė, R. (2023). Chatbots in customer service: A review and research agenda. Journal of Business Research, 158, 113632. https://doi.org/10.1016/j.jbusres.2022.113632
  25. McLean, G., & Osei-Frimpong, K. (2021). Examining satisfaction with the experience during a live chat service encounter—Implications for customer retention. Psychology & Marketing, 38(2), 275–289. https://doi.org/10.1002/mar.21328
  26. Okot, T., & Jarquin, M. (2025). The Impact of Smart Digitalization Technologies on Mitigating Incremental Risks in Sustainable Sourcing Practices. Journal of Technology Management & Innovation, 20(1).
  27. Okot, T., Ramirez, M., & Deckert, R. (2025). Employer Branding as a Catalyst for Workforce Diversity and Excellence: An In-Depth Study from Costa Rica. Organizacija, 58(1), 64-84. https://doi.org/10.2478/orga-2025-0005
  28. Pandow, B. A. (2024). Revolutionizing Finance: The Impact of AI-Driven Innovations. In Navigating the Future of Finance in the Age of AI (pp. 1-24). IGI Global. https://doi.org/10.4018/979-8-3693-4382-1.ch001
  29. SAP. (2023). Chatbot deployment metrics in European banks. SAP Whitepaper. https://www.sap.com/documents/2023/03/3f96f3a0-207e-0010-bca6-c68f7e60039b.html
  30. Seymour, M., Yuan, L., Riemer, K., & Dennis, A. R. (2024). Less artificial, more intelligent: understanding affinity, trustworthiness, and preference for digital humans. Information Systems Research. https://doi.org/10.1287/isre.2022.0203
  31. Shin, D. (2021). The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI. International journal of human-computer studies, 146, 102551. https://doi.org/10.1016/j.ijhcs.2020.102551
  32. Stryzhak, O. (2023). Analysis of labor market transformation in the context of Industry 4.0. Studia Universitatis Vasile Goldiş, Arad-Seria Ştiinţe Economice, 33(4), 23-44. https://doi.org/10.2478/sues-2023-0017
  33. Susanto, A., & Khaq, H. (2024). Reducing customer handling time through AI chatbots. Journal of Artificial Intelligence Research in Business, 19(1), 22–39. https://doi.org/10.1016/j.jaibrb.2024.01.003
  34. Susanto, E., & Khaq, Z. D. (2024). Enhancing customer service efficiency in start-ups with AI: A focus on personalization and cost reduction. Journal of Management and Informatics, 3(2), 267-281. https://orcid.org/0009-0001-3072-5825
  35. UNEP. (2023). AI and sustainability: Guidelines for green digital transformation. United Nations Environment Programme. https://www.unep.org/resources/report/aiand-sustainability-guidelines
  36. Uzoka, A., Cadet, E., & Ojukwu, P. U. (2024). Leveraging AI-Powered chatbots to enhance customer service efficiency and future opportunities in automated support. Computer Science & IT Research Journal. 5(10), 2485–2510.
  37. Vargo, S. L., & Lusch, R. F. (2008). Service-dominant logic: Continuing the evolution. Journal of the Academy of Marketing Science, 36(1), 1–10. https://doi.org/10.1007/s11747-007-0069-6
  38. Xu, Y., Zhang, J., & Deng, G. (2022). Enhancing customer satisfaction with chatbots: The influence of communication styles and consumer attachment anxiety. Frontiers in Psychology, 13, 902782. https://doi.org/10.3389/fpsyg.2022.902782
  39. Zewe, A. (2025). Explained: Generative AI’s environmental impact. MIT News. https://news.mit.edu/2025/explained-generative-ai-environmental-impact-0117news.mit.edu
DOI: https://doi.org/10.2478/sues-2026-0014 | Journal eISSN: 2285-3065 | Journal ISSN: 1584-2339
Language: English
Page range: 92 - 127
Submitted on: May 1, 2025
Accepted on: Oct 1, 2025
Published on: Jul 23, 2026
In partnership with: Paradigm Publishing Services

© 2026 Tom Okot, Yirlany Melissa Salas Jiménez, published by Vasile Goldis Western University of Arad
This work is licensed under the Creative Commons Attribution 4.0 License.