Nghiên cứu hành vi tiếp tục sử dụng chatbot trong ngân hàng: Tiếp cận từ mô hình ISS và cảm nhận giá trị

Authors

  • Le Xuan Cu Trường Đại học Thương mại Author

DOI:

https://doi.org/10.24311/jabes/2025.36.1.01

Keywords:

Chatbot, Perceived value, ISS model, Continuance intention

Abstract

The study aims to explain the factors influencing users’ continuance intention toward banking chatbots (BCs). The research model is developed based on the extended Information System Success (ISS) theory. Data were collected from 527 BC users in Hanoi using a convenience sampling approach and analyzed through structural equation modeling (SEM). The findings indicate that key ISS factors including information quality, system quality (i.e., interactivity, automation, and usefulness), and service quality (i.e., understandability, friendliness, and personalization) significantly influence perceived value (i.e., extrinsic and intrinsic value) in BCs. Moreover, these perceived values positively affect users' continuance intention toward BCs. This study offers academic and practical implications for enhancing perceived value and promoting users’ sustained engagement with banking chatbots.

References

Chen, J.-S., Le, T.-T.-Y., & Florence, D. (2021). Usability and responsiveness of artificial intelligence chatbot on online customer experience in e-retailing. International Journal of Retail & Distribution Management, 49(11), 1512-1531. https://doi.org/10.1108/IJRDM-08-2020-0312

Cheng, X., Bao, Y., Zarifis, A., Gong, W., & Mou, J. (2022). Exploring consumers' response to text-based chatbots in e-commerce: the moderating role of task complexity and chatbot disclosure. Internet Research, 32(2), 496-517. https://doi.org/10.1108/INTR-08-2020-0460

Chung, M., Ko, E., Joung, H., & Kim, S. J. (2020). Chatbot e-service and customer satisfaction regarding luxury brands. Journal of Business Research, 117, 587-595. https://doi.org/10.1016/j.jbusres.2018.10.004

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x

DeLone, W. H., & McLean, E. R. (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of Electronic Commerce, 9(1), 31-47. https://doi.org/10.1080/10864415.2004.11044317

Dhiman, N., & Jamwal, M. (2023). Tourists’ post-adoption continuance intentions of chatbots: Integrating task–technology fit model and expectation–confirmation theory. Foresight, 25(2), 209-224. https://doi.org/10.1108/FS-10-2021-0207

Dung, M. N., Chiu, Y.-T. H., & Le, H. D. (2021). Determinants of continuance intention towards banks’ chatbot services in Vietnam: A necessity for sustainable development. Sustainability, 13(14), 7625. https://doi.org/10.3390/su13147625

Fan, H., & Poole, M. S. (2006). What is personalization? Perspectives on the design and implementation of personalization in information systems. Journal of Organizational Computing and Electronic Commerce, 16(3), 179-202. https://doi.org/10.1207/s15327744joce1603&4_2

Hair, F., Babin, B., Black, W. J., & Anderson, R. E. (2018). Multivariate data analysis. Australia: Cengage.

Harman, H. H. (1976). Modern Factor Analysis. University of Chicago Press.

Hong Phuc. (2024). Chatbot Vietnam: Thinking big despite “humble format”. Vietnam Investment Review. Retrieved from https://vir.com.vn/chatbot-vietnam-thinking-big-despite-humble-format-67566.html

Jenneboer, L., Herrando, C., & Constantinides, E. (2022). The Impact of chatbots on customer loyalty: A systematic literature review. Journal of Theoretical and Applied Electronic Commerce Research, 17(1), 212-229. https://doi.org/10.3390/jtaer17010011

Kang, W., & Shao, B. (2023). The impact of voice assistants’ intelligent attributes on consumer well-being: Findings from PLS-SEM and fsQCA. Journal of Retailing and Consumer Services, 70, 103130. https://doi.org/10.1016/j.jretconser.2022.103130

Lê Nguyễn Quỳnh Hương, & Nguyễn Hữu Bình. (2022). Chatbot trong lĩnh vực ngân hàng: Thực trạng và xu hướng ứng dụng tại Việt Nam. Tạp chí Kinh tế - Luật và Ngân hàng, 236+237,

64-78.

Le, X. C. (2022). Charting sustained usage toward mobile social media application: The criticality of expected benefits and emotional motivations. Asia Pacific Journal of Marketing and Logistics, 34(3), 576-593. https://doi.org/10.1108/APJML-11-2020-0779

Le, X. C. (2023a). Inducing AI-powered chatbot use for customer purchase: The role of information value and innovative technology. Journal of Systems and Information Technology, 25(2), 219-241. https://doi.org/10.1108/JSIT-09-2021-0206

Le, X. C. (2023b). Refining mobile location-based service adoption: The lens of pull effect- and push effect-related motivations. Journal of Asian Business and Economic Studies, 30(4), 309-324. https://doi.org/10.1108/JABES-09-2021-0159

Le, X. C. (2024). Propagation of information-sharing in social media: The perspective of intrinsic and extrinsic cues. VINE Journal of Information and Knowledge Management Systems, 54(5), 973-989. https://doi.org/10.1108/VJIKMS-01-2022-0006

Levenson, E. A. (1974). Changing concepts of intimacy in psychoanalytic practice. Contemporary Psychoanalysis, 10(3), 359-369. https://doi.org/10.1080/00107530.1974.10745341

Li, L., Lee, K. Y., Emokpae, E., & Yang, S.-B. (2021). What makes you continuously use chatbot services? Evidence from Chinese online travel agencies. Electronic Markets, 31(3), 575-599. https://doi.org/10.1007/s12525-020-00454-z

Mostafa, R. B., & Kasamani, T. (2022). Antecedents and consequences of chatbot initial trust. European Journal of Marketing, 56(6), 1748-1771. https://doi.org/10.1108/EJM-02-2020-0084

Nguyen, M. D., Chiu, Y.-T. H., & Le, H. D. (2021). Determinants of continuance intention towards banks’ chatbot services in Vietnam: a necessity for sustainable development. Sustainability, 13(14), 7625.

https://doi.org/10.3390/su13147625

Nguyen, Y. T. H., Tapanainen, T., & Nguyen, H. T. T. (2022). Reputation and its consequences in Fintech services: The case of mobile banking. International Journal of Bank Marketing, 40(7), 1364-1397. https://doi.org/10.1108/IJBM-08-2021-0371

Parasuraman, R., & Riley, V. (1997). Humans and automation: Use, misuse, disuse, abuse. Human Factors, 39(2), 230-253. https://doi.org/10.1518/001872097778543886

Park, G., Chung, J., & Lee, S. (2023). Effect of AI chatbot emotional disclosure on user satisfaction and reuse intention for mental health counseling: A serial mediation model. Current Psychology, 42(32), 28663-28673. https://doi.org/10.1007/s12144-022-03932-z

Trivedi, J. (2019). Examining the customer experience of using banking chatbots and its impact on brand love: The moderating role of perceived risk. Journal of Internet Commerce, 18(1), 91-111. https://doi.org/10.1080/15332861.2019.1567188

Yang, H., & Lee, H. (2019). Understanding user behavior of virtual personal assistant devices. Information Systems and e-Business Management, 17(1), 65-87. https://doi.org/10.1007/s10257-018-0375-1

Published

2025-01-20

Issue

Section

Articles

How to Cite

Le Xuan, C. (2025). Nghiên cứu hành vi tiếp tục sử dụng chatbot trong ngân hàng: Tiếp cận từ mô hình ISS và cảm nhận giá trị. JOURNAL OF ASIAN BUSINESS AND ECONOMIC STUDIES, 36(1), 04-19. https://doi.org/10.24311/jabes/2025.36.1.01