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Determinants of Continuance Intention towards Banks’ Chatbot Services in Vietnam: A Necessity for Sustainable Development

Author

Listed:
  • Dung Minh Nguyen

    (Department of Marketing and Distribution Management, College of Management, National Kaohsiung University of Science and Technology, Kaohsiung 824005, Taiwan)

  • Yen-Ting Helena Chiu

    (Department of Marketing and Distribution Management, College of Management, National Kaohsiung University of Science and Technology, Kaohsiung 824005, Taiwan)

  • Huy Duc Le

    (UCSI Graduate Business School, UCSI University, Wilayah Persekutuan Kuala Lumpur, Cheras 56000, Malaysia)

Abstract

To improve customer experience and achieve sustainable development, many industries, especially banking, have leveraged artificial intelligence to implement a chatbot into their customer service. By integrating DeLone and McLean’s information systems success (D&M ISS) model and the expectation confirmation model (ECM) with the factor of trust, the aim of this study was to investigate the determinants of users’ continuance intentions towards chatbot services in the context of banking in Vietnam. A total of 359 questionnaire surveys were collected from a real bank’s chatbot users and analyzed using structural equation modeling. The findings revealed that users’ continuance intentions towards the banks’ chatbot services were influenced by satisfaction, trust, and perceived usefulness, of which trust had the strongest effect. The results also indicate that information quality, system quality, service quality, and confirmation of expectations had significant effects on three drivers of continuance intention in different ways. Our study contributes to the literature by providing a more comprehensive viewpoint to understand the perceptions and reactions of chatbot users in the post-adoption stage. The results of this study also yield several key suggestions for banking service providers on how to increase their customers’ intentions to continue using chatbot services, serving as a basis for long-term and sustainable development strategies in the current digital era.

Suggested Citation

  • Dung Minh Nguyen & Yen-Ting Helena Chiu & Huy Duc Le, 2021. "Determinants of Continuance Intention towards Banks’ Chatbot Services in Vietnam: A Necessity for Sustainable Development," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7625-:d:590502
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    Cited by:

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    2. Berrin Arzu Eren, 2024. "Antecedents of robo-advisor use intention in private pension investments: an emerging market country example," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 683-698, September.
    3. Noor Irliana Mohd Rahim & Noorminshah A. Iahad & Ahmad Fadhil Yusof & Mohammed A. Al-Sharafi, 2022. "AI-Based Chatbots Adoption Model for Higher-Education Institutions: A Hybrid PLS-SEM-Neural Network Modelling Approach," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    4. Shahzad, Muhammad Farrukh & Xu, Shuo & An, Xin & Javed, Iqra, 2024. "Assessing the impact of AI-chatbot service quality on user e-brand loyalty through chatbot user trust, experience and electronic word of mouth," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    5. Jinmin Kim & Jaeyoung Kim, 2021. "An Integrated Analysis of Value-Based Adoption Model and Information Systems Success Model for PropTech Service Platform," Sustainability, MDPI, vol. 13(23), pages 1-17, November.

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