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How Service Quality Influences Customer Acceptance and Usage of Chatbots?

Author

Listed:
  • Giulia Pavon

    (TSM - Toulouse School of Management Research - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - TSM - Toulouse School of Management - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse)

  • Lars Meyer-Waarden

    (TSM - Toulouse School of Management Research - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - TSM - Toulouse School of Management - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse)

  • Thanida Poocharoentou
  • Piyanut Prayatsup
  • Maelis Ratinaud
  • Sara Torne

Abstract

The present study aims to investigate consumers' acceptance of and intention to reuse a chatbot in the context of automated customer service in the airline industry. In particular, we identify the most valuable factors that affect acceptance of an intention to reuse a chatbot by integrating the theoretical framework SERVQUAL. The main results show that reliability and perceived usefulness are the most important criteria that affect the intention to reuse the chatbot. Contrary to our expectations, empathy does not have any significant effect. The study suggests that in the case of an interaction with a chatbot for a purpose that may involve an economic transaction, customers prefer the chatbot for its utilitarian value, as reliability and usefulness are considered to be more important than empathy. Moreover, tangible elements play an important role in increasing the perceived ease of use.

Suggested Citation

  • Giulia Pavon & Lars Meyer-Waarden & Thanida Poocharoentou & Piyanut Prayatsup & Maelis Ratinaud & Sara Torne, 2020. "How Service Quality Influences Customer Acceptance and Usage of Chatbots?," Post-Print hal-03145866, HAL.
    • Handle: RePEc:hal:journl:hal-03145866
    DOI: 10.15358/2511-8676-2020-1-35
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    Cited by:

    1. Balakrishnan, Janarthanan & Abed, Salma S. & Jones, Paul, 2022. "The role of meta-UTAUT factors, perceived anthropomorphism, perceived intelligence, and social self-efficacy in chatbot-based services?," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    2. Tom Lewandowski & Emir Kučević & Stephan Leible & Mathis Poser & Tilo Böhmann, 2023. "Enhancing conversational agents for successful operation: A multi-perspective evaluation approach for continuous improvement," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-20, December.

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