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Pathways linking expectations for AI chatbots to loyalty: A moderated mediation analysis

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  • Yao, Xintong
  • Xi, Yipeng

Abstract

Despite the prevalence of generative AI chatbots such as GPT and Bard, scholarly inquiry into how users' enduring expectations influence their engagement with AI chatbots remains scant. Drawing on expectation violation theory, the present study examines how user expectations, informed by belief in machine heuristics and concerns over human uniqueness, impact chatbot loyalty through a moderated mediation framework. A questionnaire survey of 900 participants in China revealed that belief in machine capabilities bolsters users' perceptions of machine intelligence, which in turn, enhances user loyalty. Interestingly, when users encounter service failures that challenge their expectations, their perceived intelligence of the chatbot intensifies rather than diminishes. In contrast, expectations shaped by human uniqueness concerns diminish users' perceptions of machine intelligence and, consequently, their loyalty, which remains consistent regardless of the encounter with AI failure. The study also delves into the theoretical contributions of these findings to the evolution of expectation violation theory within the sphere of human-robot interaction.

Suggested Citation

  • Yao, Xintong & Xi, Yipeng, 2024. "Pathways linking expectations for AI chatbots to loyalty: A moderated mediation analysis," Technology in Society, Elsevier, vol. 78(C).
    • Handle: RePEc:eee:teinso:v:78:y:2024:i:c:s0160791x24001738
    DOI: 10.1016/j.techsoc.2024.102625
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    References listed on IDEAS

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    1. Lim, Joon Soo & Zhang, Jun, 2022. "Adoption of AI-driven personalization in digital news platforms: An integrative model of technology acceptance and perceived contingency," Technology in Society, Elsevier, vol. 69(C).
    2. Logg, Jennifer M. & Minson, Julia A. & Moore, Don A., 2019. "Algorithm appreciation: People prefer algorithmic to human judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 151(C), pages 90-103.
    3. Brown, Susan A. & Venkatesh, Viswanath & Kuruzovich, Jason & Massey, Anne P., 2008. "Expectation confirmation: An examination of three competing models," Organizational Behavior and Human Decision Processes, Elsevier, vol. 105(1), pages 52-66, January.
    4. Khogali, Hisham O. & Mekid, Samir, 2023. "The blended future of automation and AI: Examining some long-term societal and ethical impact features," Technology in Society, Elsevier, vol. 73(C).
    5. Ou, Yi-Chun & Verhoef, Peter C., 2017. "The impact of positive and negative emotions on loyalty intentions and their interactions with customer equity drivers," Journal of Business Research, Elsevier, vol. 80(C), pages 106-115.
    6. Xing, Xinyu & Song, Mengmeng & Duan, Yucong & Mou, Jian, 2022. "Effects of different service failure types and recovery strategies on the consumer response mechanism of chatbots," Technology in Society, Elsevier, vol. 70(C).
    7. Schiavo, Gianluca & Businaro, Stefano & Zancanaro, Massimo, 2024. "Comprehension, apprehension, and acceptance: Understanding the influence of literacy and anxiety on acceptance of artificial Intelligence," Technology in Society, Elsevier, vol. 77(C).
    8. Nicole Davis & Nils Olsen & Vanessa G. Perry & Marcus M. Stewart & Tiffany B. White, 2023. "I’m Only Human? The Role of Racial Stereotypes, Humanness, and Satisfaction in Transactions with Anthropomorphic Sales Bots," Journal of the Association for Consumer Research, University of Chicago Press, vol. 8(1), pages 47-58.
    9. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    10. Araz Taeihagh, 2021. "Governance of artificial intelligence [Application of artificial intelligence for development of intelligent transport system in smart cities]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 137-157.
    11. Niu, Ben & Mvondo, Gustave Florentin Nkoulou, 2024. "I Am ChatGPT, the ultimate AI Chatbot! Investigating the determinants of users' loyalty and ethical usage concerns of ChatGPT," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    12. Hsu, Chin-Lung & Lin, Judy Chuan-Chuan, 2023. "Understanding the user satisfaction and loyalty of customer service chatbots," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    13. Liu, Dewen & Lv, Yiliang & Huang, Weidong, 2023. "How do consumers react to chatbots' humorous emojis in service failures," Technology in Society, Elsevier, vol. 73(C).
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