AI-Driven Customer Service and Customer Satisfaction: A Conceptual Review

References

[1] Adam, M., Wessel, M., & Benlian, A. (2021). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 31(2), 427–445. https://doi.org/10.1007/s12525-020-00414-7

[2] Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921

[3] Chatterjee, S., Rana, N. P., Dwivedi, Y. K., Baabdullah, A. M., & Wamba, S. F. (2021). Understanding AI adoption in customer relationship management: A literature review and future research agenda. Journal of Business Research, 129, 69–84.

[4] Davenport, T. H., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42. https://doi.org/10.1007/s11747-019-00696-0

[5] Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

[6] Gnewuch, U., Morana, S., Adam, M. T. P., & Maedche, A. (2017). Faster is not always better: Understanding the effect of dynamic response delays in human–chatbot interaction. In Proceedings of the 25th European Conference on Information Systems (ECIS).

[7] Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in service. Journal of the Academy of Marketing Science, 49(1), 30–50. https://doi.org/10.1007/s11747-020-00749-9

[8] Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25. https://doi.org/10.1016/j.bushor.2018.08.004

[9] Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40.

[10] Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022

[11] Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

[12] Xu, A., Liu, Z., Guo, Y., Sinha, V., & Akkiraju, R. (2017). A new chatbot for customer service on social media. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 3506–3510. https://doi.org/10.1145/3025453.3025496

[13] Zeithaml, V. A., Bitner, M. J., & Gremler, D. D. (2018). Services marketing: Integrating customer focus across the firm (7th ed.). McGraw-Hill Education.

@article{1719392,
      author = {Ankur},
      title = {AI-Driven Customer Service and Customer Satisfaction: A Conceptual Review},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {12},
      pages = {3024-3030},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1719392.pdf},
      abstract = {Artificial Intelligence (AI) has emerged as a transformative technology in customer service by enabling businesses to deliver personalized, efficient, and round-the-clock support. AI-powered tools such as chatbots, virtual assistants, recommendation systems, and predictive analytics have significantly enhanced customer interactions while reducing operational costs. However, despite these advantages, concerns regarding privacy, trust, emotional intelligence, and service quality continue to influence customer satisfaction. This conceptual review examines existing literature on AI-driven customer service and its impact on customer satisfaction. Drawing upon secondary data from journals, books, and industry reports, the paper explores the relationship between AI-enabled service quality, personalization, response speed, perceived usefulness, and customer satisfaction. The review concludes that while AI substantially improves service efficiency and customer experience, organizations should integrate human support with AI technologies to maximize customer satisfaction and long-term loyalty.},
      keywords = {Artificial Intelligence, Customer Service, Customer Satisfaction, Chatbots, Service Quality, Customer Experience, Digital Transformation.},
      month = {June},
      doi = {https://doi.org/10.64388/IREV9I12-1719392}
  }