• ISSN: 2301-3567 (Print), 2972-3981 (Online)
    • Abbreviated Title: J. Econ. Bus. Manag.
    • Frequency: Quarterly
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms. Fiona Chu
    • Abstracting/ Indexing:  CNKI, Google Scholar, Crossref
    • Article Processing Charge (APC): 500 USD
    • E-mail: joebm.editor@gmail.com
JOEBM 2026 Vol.14(2): 91-96
doi: 10.18178/joebm.2026.14.2.915

Evaluating User Experience of a Retrieval-Augmented Generation-Based Customer Service Chatbot

Syuan-Yu Chen , Chang-Yi Kao

  • Department of Computer Science & Information Management, Soochow University, Taiwan
  • Manuscript received December 15, 2025
  • accepted January 29, 2026
  • published May 22, 2026

Abstract

As digital services become increasingly widespread, online real-time customer support has become a key way for consumers to seek help. A good service experience can boost customer satisfaction and loyalty, particularly in the financial sector. However, traditional

Keywords

  • retrieval-augmented generation
  • customer service
  • chatbot
  • sentiment analysis
JOEBM-V14N2-915

How to Cite

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Syuan-Yu Chen and Chang-Yi Kao, "Evaluating User Experience of a Retrieval-Augmented Generation-Based Customer Service Chatbot," Journal of Economics, Business and Management, vol. 14, no. 2, pp. 91-96, 2026. https://doi.org/10.18178/joebm.2026.14.2.915

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Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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