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Appreciation vs. apology: Research on the influence mechanism of chatbot service recovery based on politeness theory

Author

Listed:
  • Song, Mengmeng
  • Zhang, Huixian
  • Xing, Xinyu
  • Duan, Yucong

Abstract

Failures in human-chatbot interactions are becoming inevitable such as failure of chatbots to maintain contextual awareness. Thus, an effective service recovery strategy is essential for e-commerce enterprises to restore customers and resolve their complaints. Therefore, based on politeness theory, this study explores the fundamental mechanism and boundary conditions for a chatbot politeness strategy (appreciation vs. apology) on consumers' post-recovery satisfaction using four scenario-based experiments. The results indicate that establishing a good human-chatbot relationship (appreciation) is a more effective recovery strategy than admitting the chatbot's limited competence (apology) in redressing service failures; face concern mediates the effect of the politeness strategy on post-recovery satisfaction; and time pressure plays a moderating role in the effect of the politeness strategy on face concern and post-recovery satisfaction. This study extends the research of politeness theory and face concern in the field of chatbot marketing, and provide practical guidance for e-commerce enterprises to deal effectively with chatbot failure.

Suggested Citation

  • Song, Mengmeng & Zhang, Huixian & Xing, Xinyu & Duan, Yucong, 2023. "Appreciation vs. apology: Research on the influence mechanism of chatbot service recovery based on politeness theory," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    • Handle: RePEc:eee:joreco:v:73:y:2023:i:c:s096969892300070x
    DOI: 10.1016/j.jretconser.2023.103323
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    References listed on IDEAS

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