International Journal of Academic Research in Business and Social Sciences

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Key Drivers Influencing Gen Z’s Use of Chatbots in Malaysia’s Digital Banking Sector: A Conceptual Model

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The objective of this article is to determine the key factors influencing the adoption of chatbots in e-banking services among Gen Z customers in Malaysia. While digital banking services have grown rapidly, there is still a significant gap in understanding the factors that influence Gen Z's decision to use chatbots as well, within e-banking platforms in the region. This highlights a clear need for further research to better understand the unique behaviors and preferences of this important consumer segment regarding chatbot use in Malaysia's evolving digital banking landscape. This article was motivated by the increasing importance of chatbots as a digital innovation in the banking industry in Malaysia, particularly given that Gen Z customers are digital natives with specific preferences and expectations. From the synthesis review of literature, the study identified four important determinants elements including perceived usefulness, perceived ease of use, risk and trust, that may support or reject Gen Z's acceptance of chatbot technology. With this conceptual analysis, we aim to address this knowledge gap that can inform banks on how to enhance the design of their digital strategies, based on Gen Z customers' digital requirements, improve their user experience and successfully adopt Chatbot e-banking services in Malaysia. This study identifies important considerations for banks in Malaysia to create digital strategies and chatbot designs that are tailored to Gen Z customers, allowing banks to maximise user experience and adoption success. Most interestingly, this study is only a conceptual mode, with at best received an empirical result.
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2016). Digital banking adoption: A review and future research agenda. Journal of Retailing and Consumer Services, 34, 69-82. https://doi.org/10.1016/j.jretconser.2016.07.007
Aliza, N. A., Abdul Rahim, N., & Ramayah, T. (2025). Exploring the influence of perceived value as a mediator on the adoption intention of digital banking services among Malaysian users. Journal of Financial Services Marketing, Advance online publication. https://doi.org/10.1057/s41264-024-00128-7
Ashfaq, M., Hamid, S., & Lee, S. (2020). The impact of chatbot response accuracy on trust and user engagement in financial services. Journal of Financial Services Marketing, 25(3), 149-160. https://doi.org/10.1057/s41264-020-00075-9
Azmi, N. H., Salim, N. A., & Faezah, N. (2022). The impact of perceived usefulness on chatbots adoption in digital banking services among Malaysian Gen Z. International Journal of Bank Marketing, 40(4), 985-1004. https://doi.org/10.1108/IJBM-07-2021-0397
Baptista, G., & Oliveira, T. (2017). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418–430. https://doi.org/10.1016/j.chb.2015.04.024
Chocarro, R., Cortiñas, M., & Marques, D. P. (2021). Understanding chatbot service encounters and customer satisfaction. Journal of Service Theory and Practice, 31(7), 797-815. https://doi.org/10.1108/JSTP-09-2020-0235
Curran, J. M., & Meuter, M. L. (2007). Encouraging existing customers to adopt self-service technologies: Put a little fun in their lives. Journal of Marketing Theory and Practice, 15(4), 283–298. https://doi.org/10.2753/MTP1069-6679150402
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
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human–Computer Studies, 59(4), 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90. https://doi.org/10.2307/30036519
Go, E., & Sundar, S. S. (2019). Humanizing chatbots: The effects of visual, identity and conversational cues on humanness perception, trust, and acceptance. Computers in Human Behavior, 97, 304-316. https://doi.org/10.1016/j.chb.2019.03.004
Hussain, M., Abdullah, N., & Manzoor, F. (2021). Trust and perceived risk in the adoption of digital banking services: The Malaysian context. Journal of Internet Banking and Commerce, 26(2), 1-17.
Kang, J., & Namkung, Y. (2019). Factors influencing the customer acceptance of AI-based service robots in the hotel industry. International Journal of Contemporary Hospitality Management, 31(11), 4235-4258. https://doi.org/10.1108/IJCHM-02-2019-0123
Klopfenstein, L. C., Delpriori, S., Malatini, S., & Bogliolo, A. (2017). The rise of bots: A survey of conversational interfaces, patterns, and paradigms. Proceedings of the 2017 Conference on Designing Interactive Systems, 555-565. https://doi.org/10.1145/3064663.3064672
Liao, J., Li, C., & Chen, A. (2022). Building trust toward AI chatbots in digital banking: The roles of credibility, transparency, and response quality. Journal of Retailing and Consumer Services, 65, 102823. https://doi.org/10.1016/j.jretconser.2021.102823
Salimon, M. G., Mohamed, Z., Othman, M. S., & Wahab, E. (2017). The acceptance of online banking in Malaysia: An integration of technology acceptance model and theory of planned behaviour. Proceedings of the Asia Pacific Management Conference, 70–80.
San, A., & Othman, M. (2021). Barriers to chatbot adoption by Gen Z in Malaysia: Privacy concerns and system failures. International Journal of Bank Marketing, 39(5), 927–948. https://doi.org/10.1108/IJBM-12-2020-0681
San, A., & Othman, M. (2021). Barriers to chatbot usage in Malaysian banking sector among Gen Z: Privacy concerns and trust issues. International Journal of Bank Marketing, 39(5), 927-948. https://doi.org/10.1108/IJBM-12-2020-0681
Shankar, V., Smith, A. K., & Rangaswamy, A. (2020). Customer engagement and chatbot adoption: Understanding Gen Z preferences. Journal of Interactive Marketing, 50, 34–49. https://doi.org/10.1016/j.intmar.2019.11.001
Sivathanu, B. (2019). Role of trust and perceived risk in mobile banking adoption in India. The Journal of Internet Banking and Commerce, 24(1), 1-17. https://doi.org/10.1016/j.chb.2019.07.002
Sjöström, J., & Ågerfalk, P. J. (2022). Chatbot acceptance in banking: A framework integrating user expectations and trust formation. Information Systems Journal, 32(3), 465-494. https://doi.org/10.1111/isj.12345
Smith, A. (2022). Gen Z and their digital banking habits: A review of behavioral trends. Journal of Financial Services Marketing, 27(2), 80-92. https://doi.org/10.1057/s41264-021-00112-3
Tian, Y., Basri, W. S., & Ismail, A. (2023). The role of trust and perceived risk in digital banking adoption in Malaysia. Electronic Commerce Research, 23(1), 123-143. https://doi.org/10.1007/s10660-022-09542-7
Toh, R. S., & Tay, K. L. (2022). Understanding AI Service Adoption in Banking: A Cultural and Demographic Perspective on Malaysian Gen Z Users. Asian Journal of Business Research, 12(1), 45–62. https://doi.org/10.14707/ajbr.220045 (Note: Please verify exact journal details/pagination if available.)
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
Wang, Y., Tang, T., & Yang, Y. (2020). The effects of trust and perceived security on users’ continued adoption of mobile banking services: An integrated perspective. International Journal of Information Management, 50, 343–357. https://doi.org/10.1016/j.ijinfomgt.2019.08.001
Rahim, F. A., Shafiee, Y. A., & Jamil, N. (2025). Key Drivers Influencing Gen Z’s Use of Chatbots in Malaysia’s Digital Banking Sector: A Conceptual Model. International Journal of Academic Research in Business and Social Sciences, 15(8), 1580–1589.