Integrating the Technology Acceptance Model and Theory of Planned Behavior to Explain Continuance Use of E-Commerce Chatbots: A Theoretical Perspective


International Research Journal of Economics and Management Studies
© 2026 by IRJEMS
Volume 5  Issue 10
Year of Publication : 2026
Authors : Catherine Christiana Tjandra, Haris Maupa, Cokki
irjems doi : 10.56472/25835238/IRJEMS-V5I10P105

Citation:

Catherine Christiana Tjandra, Haris Maupa, Cokki "Integrating the Technology Acceptance Model and Theory of Planned Behavior to Explain Continuance Use of E-Commerce Chatbots: A Theoretical Perspective" International Research Journal of Economics and Management Studies, Vol. 5, No. 10, pp. 35-44, 2026. Crossref. https://doi.org/10.56472/25835238/IRJEMS-V5I10P105

Abstract:

This paper aims to develop a theoretical perspective integrating the Technology Acceptance Model and the Theory of Planned Behavior to explain continuance use intention toward e-commerce chatbots. Although existing research has examined technology acceptance and chatbot adoption, the theoretical understanding of consumers’ continued chatbot usage remains an important area for further development. This paper conceptually examines the complementary roles of perceived ease of use, perceived usefulness, attitude, and subjective norm in explaining continuance use intention. Chatbot quality and user satisfaction are also incorporated to extend the discussion beyond initial technology acceptance toward users’ post-adoption experiences. The proposed theoretical framework illustrates how technology-related perceptions and social influences may jointly shape users’ attitudes and continued engagement with e-commerce chatbots. By integrating TAM and TPB, this paper contributes to the theoretical discussion of chatbot continuance by connecting technology acceptance, social influence, and post-use evaluations within a unified perspective. The framework provides a foundation for future empirical research and offers implications for understanding consumer–chatbot interactions in e-commerce, particularly in emerging digital markets.

References:

[1] Adamopoulou, E., & Moussiades, L. An Overview of Chatbot Technology. IFIP Advances in Information and Communication Technology, 584(2) (2020), 373–383.
[2] F. D. Davis, Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly. 13(3) (1989) 319–340.
[3] I. Ajzen, The theory of planned behavior, Organizational Behavior and Human Decision Processes. 50(2) (1991) 179–211.
[4] [V. Venkatesh and F. D. Davis, A theoretical extension of the technology acceptance model: Four longitudinal field studies, Management Science. 46(2) (2000) 186–204.
[5] A. Bhattacherjee, Understanding information systems continuance: An expectation-confirmation model, MIS Quarterly. 25(3) (2001) 351–370.
[6] V. Venkatesh, M. G. Morris, G. B. Davis and F. D. Davis, User acceptance of information technology: Toward a unified view, MIS Quarterly. 27(3) (2003) 425–478.
[7] E. Adamopoulou and L. Moussiades, Chatbots: History, technology, and applications, Machine Learning with Applications. 2 (2020) 100006.
[8] M. Yan, R. Filieri and M. Gorton, Continuance intention of online technologies: A systematic literature review, International Journal of Information Management. 58 (2021) 102315.
[9] J. Kim, Y. Li and J. Choi, Understanding the continuance intention to use chatbot services, Asia Marketing Journal. 25(3) (2023) 99–110.
[10] B. Foroughi, T. Q. Huy, M. Iranmanesh, M. Ghobakhloo, A. Rejeb and D. Nikbin, Why users continue E-commerce chatbots? Insights from PLS-fsQCA-NCA approach, The Service Industries Journal. 45(11–12) (2025) 935–965.
[11] A. M. Sundjaja, P. Utomo and F. Colline, The determinant factors of continuance use of customer service chatbot in Indonesia e-commerce: Extended expectation confirmation theory, Journal of Science and Technology Policy Management. 16(1) (2025) 182–203.
[12] J. Gao, A. P. Opute, C. Jawad and M. Zhan, The influence of artificial intelligence chatbot problem solving on customers’ continued usage intention in e-commerce platforms: An expectation-confirmation model approach, Journal of Business Research. 200 (2025) 115661.
[13] T. T. A. Ngo, H. K. L. Chau, N. P. N. Tran and C. T. Bui, The impact of AI-powered service on customer continuance usage intention in E-retailing: An extended expectation confirmation model, Acta Psychologica. 262 (2026) 106095.

Keywords:

Technology Acceptance Model, Theory Of Planned Behavior, E-Commerce Chatbots, Continuance Use Intention,Chatbot Quality.