Tác giả: Le Thi Lan Huong - Hoang Thi Kim Lien - Le Van Nam

Số trang: 332-344

DOI url: 10.62831/202526049

Tóm tắt:

With the rise of generative AI (GenAI) chatbots such as ChatGPT, Copilot, and Gemini, digital marketing is undergoing a significant transformation, allowing businesses to enhance customer engagement and deliver more personalized experiences. In the banking sector, GenAI chatbots offer relevant and responsive digital service interactions that can improve customer satisfaction; however, their effectiveness may vary depending on customers’ familiarity with technology. This study surveyed 346 banking customers in Vietnam to examine the moderating role of technological familiarity in the relationship between GenAI chatbot experiences and satisfaction with digital banking services. The findings provide practical implications for banks seeking to optimize customer satisfaction through the strategic integration of GenAI chatbots, while also contributing to the broader body of research on digital marketing and AI-driven customer experience.

TÀI LIỆU THAM KHẢO:

Abdaljaleel, M., Barakat, M., Alsanafi, M., Salim, N. A., Abazid, H., Malaeb, D., Mohammed, A. H., Hassan, B. A. R., Wayyes, A. M., & Farhan, S. S. (2024). A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT. Scientific Reports, 14(1), 1983. https://doi.org/10.1038/s41598-024-52549-8 Abdelkader, O. (2021). Impacts of perceived-value and key features of distance education on marketing-students' overall-satisfaction. Elem. Educ. Online, 20(4), 3232-3244. Ajlouni, A. O., Wahba, F. A.-A., & Almahaireh, A. S. (2023). Students' Attitudes Towards Using ChatGPT as a Learning Tool: The Case of the University of Jordan. International Journal of Interactive Mobile Technologies, 17(18). https://doi.org/10.3991/ijim.v17i18.41753 Armstrong, J. S., & Overton, T. S. (1977). Estimating Nonresponse Bias in Mail Surveys. Journal of marketing Research, 14(3), 396-402. https://doi.org/10.1177/002224377701400320 Ashfaq, M., Yun, J., Yu, S., & Loureiro, S. M. C. (2020). I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents. Telematics and Informatics, 54, 101473. https://doi.org/10.1016/j.tele.2020.101473 Buchanan Lunsford, N., Berktold, J., Holman, D. M., Stein, K., Prempeh, A., & Yerkes, A. (2018). Skin cancer knowledge, awareness, beliefs and preventive behaviors among black and hispanic men and women. Preventive Medicine Reports, 12, 203-209. https://doi.org/10.1016/j.pmedr.2018.09.017 Chen, C., & Chen, F. (2021). Chatbots and customer experience: an empirical investigation. J. Interact. Market, 56, 101-113. https://doi.org/10.1016/j.intmar.2021.01.005 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 Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340. https://doi.org/https://doi.org/10.2307/249008 El Bakkouri, B., Raki, S., & Belgnaoui, T. (2022). The role of chatbots in enhancing customer experience: literature review. Procedia Computer Science, 203, 432-437. https://doi.org/10.1016/j.procs.2022.07.057 Elkhodr, M., Gide, E., Wu, R., & Darwish, O. (2023). ICT students’ perceptions towards ChatGPT: An experimental reflective lab analysis. STEM Education, 3(2), 70-88. https://doi.org/10.3934/steme.2023006 Fabrigar, L. R., MacCallum, R. C., Wegener, D. T., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research [Review]. Psychological Methods, 4(3), 272-299. https://doi.org/10.1037/1082-989X.4.3.272 Finch, J. F., & West, S. G. (1997). The Investigation of Personality Structure: Statistical Models. Journal of Research in Personality, 31(4), 439-485. https://doi.org/10.1006/jrpe.1997.2194 Flstad, A., & Brandtzỉg, P. B. (2017). Chatbots and the new world of HCI. interactions, 24(4), 38-42. https://doi.org/10.1145/3098277 Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of marketing Research, 19(4), 440-452. https://doi.org/10.1177/002224378201900406 Gilson, A., Safranek, C. W., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2023). How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment. JMIR Medical Education, 9(1), e45312. https://doi.org/10.2196/45312 Gordijn, B., & Have, H. t. (2023). ChatGPT: evolution or revolution? Medicine, Health Care and Philosophy, 26(1), 1-2. https://doi.org/10.1007/s11019-023-10000-w Gunawan, J. (2023). Exploring the future of nursing: Insights from the ChatGPT model. Belitung Nursing Journal, 9(1), 1. https://doi.org/10.33546/bnj.1675 Hair, J. (2009). Multivariate Data Analysis: A Global Perspective (7th ed.). Prentice Hall. Haugeland, I. K. F., Flstad, A., Taylor, C., & Bjrkli, 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 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 Karatepe, O. M. (2011). Service quality, customer satisfaction and loyalty: the moderating role of gender. Journal of Business Economics and Management, 12(2), 278-300. https://doi.org/10.1108/JSTP-12-2019-0316 Kim, J., Choi, I., & Li, Q. (2021). Customer satisfaction of recommender system: Examining accuracy and diversity in several types of recommendation approaches. Sustainability, 13(11), 6165. https://doi.org/10.3390/su13116165 Kim, S., & Lee, K. (2014). The role of technological familiarity and user experience in customer satisfaction: A study in the context of mobile applications. International Journal of Information Management, 34(4), 456-468. Klang, E., & Levy-Mendelovich, S. (2023). Evaluation of OpenAI’s large language model as a new tool for writing papers in the field of thrombosis and hemostasis. Journal of Thrombosis and Haemostasis, 21(4), 1055-1058. https://doi.org/10.1111/jth.15453 Lin, H.-F. (2008). Determinants of successful virtual communities: Contributions from system characteristics and social factors. Information & Management, 45(8), 522-527. https://doi.org/10.1016/j.im.2008.08.002 Loh, E. (2023). ChatGPT and generative AI chatbots: challenges and opportunities for science, medicine and medical leaders. BMJ leader, leader-2023-000797. https://doi.org/10.1136/leader-2023-000797 McColl-Kennedy, J., & Schneider, U. (2000). Measuring customer satisfaction: why, what and how. Total quality management, 11(7), 883-896. https://doi.org/10.1080/09544120050135434 Meyers, L. S., Gamst, G., & Guarino, A. J. (2016). Applied Multivariate Research: Design and Interpretation. SAGE Publications. https://books.google.com.vn/books?id=bm51DQAAQBAJ Misischia, C. V., Poecze, F., & Strauss, C. (2022). Chatbots in customer service: Their relevance and impact on service quality. Procedia Computer Science, 201, 421-428. https://doi.org/10.1016/j.procs.2022.03.055 OpenAI, A. (2018). Openai five. In. Parasuraman, A., & Colby, C. L. (2007). Techno-ready marketing: How and why your customers adopt technology. The Free Press. Quintino, A. R. P. (2019). The impact of chatbot technology attributes on customer experience: an example in telecom Ramesh, A., & Chawla, V. (2022). Chatbots in marketing: A literature review using morphological and co-occurrence analyses. Journal of Interactive Marketing, 57(3), 472-496. https://doi.org/10.1177/ 10949968221095549 Rieke, T. D. (2018). The impact of Chatbots characteristics on Customer Satisfaction within the Portuguese Millennial population. Rospigliosi, P. a. (2023). Artificial intelligence in teaching and learning: what questions should we ask of ChatGPT? In (Vol. 31, pp. 1-3): Taylor & Francis. Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of applied learning and teaching, 6(1), 342-363. https://doi.org/10.37074/jalt.2023.6.1.6 Shumanov, M., & Johnson, L. (2021). Making conversations with chatbots more personalized. Computers in Human Behavior, 117, 106627. https://doi.org/10.1016/j.chb.2020.106627 Silva, F. A., Shojaei, A. S., & Barbosa, B. (2023). Chatbot-based services: a study on customers’ reuse intention. Journal of Theoretical and Applied Electronic Commerce Research, 18(1), 457-474. https://doi.org/10.3390/ jtaer18010024 Smith, T. M. F. (1983). On the Validity of Inferences from Non-random Sample. Journal of the Royal Statistical Society. Series A (General), 146(4), 394-403. https://doi.org/10.2307/2981454 Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257-285. https://doi.org/10.1016/0364-0213(88)90023-7 Taecharungroj, V. (2023). “What can ChatGPT do?” Analyzing early reactions to the innovative AI chatbot on Twitter. Big Data and Cognitive Computing, 7(1), 35. https://doi.org/10.3390/bdcc7010035 Van den Broeck, E., Zarouali, B., & Poels, K. (2019). Chatbot advertising effectiveness: When does the message get through? Computers in Human Behavior, 98, 150-157. https://doi.org/10.1016/j.chb.2019.04.009 Yang, X., & Zhang, M. (2024). GenAI Distortion: The Effect of GenAI Fluency and Positive Affect. Computers & education. https://doi.org/10.48550/arXiv.2404.17822 Yeo-Teh, N. S. L., & Tang, B. L. (2023). Letter to editor: NLP systems such as ChatGPT cannot be listed as an author because these cannot fulfill widely adopted authorship criteria. Accountability in research, 1-3. https://doi.org/10.1080/08989621.2023.2032765

Từ khóa:

genAI chatbot, customer experience, customer satisfaction, familiarity with technology, digital banking.

File PDF