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Calming the customers by AI: Investigating the role of chatbot acting-cute strategies in soothing negative customer emotions

Author

Listed:
  • Tao Zhang

    (Northwestern Polytechnical University)

  • Chao Feng

    (Nanjing University of Aeronautics and Astronautics)

  • Hui Chen

    (Ginling College, Nanjing Normal University)

  • Junjie Xian

    (Northwestern Polytechnical University)

Abstract

Although intelligent chatbot has been widely used in online customer service settings in modern E-business, scholars still have little understanding of the chatbot strategies implemented in product or service failure context. Aiming at this gap, this study explored whether, how, and when two chatbot acting-cute strategies (i.e. whimsical chatbot strategy and kindchenschema chatbot strategy) could soothe negative customer emotions when product or service failure happened. By using two experimental studies, the results demonstrated that both the whimsical chatbot strategy and the kindchenschema (baby schema) chatbot strategy could placate negative customer emotions via two mechanisms. In the high product or service failure severity context, the soothing effects of both strategies would weaken, while the kindchenschema chatbot strategy weakens less. The whimsical chatbot strategy is suitable for customers with high technology anxiety while the kindchenschema chatbot strategy is suitable for those who have low technology anxiety. The whimsical chatbot strategy was more effective with male customers than with female customers, while the kindchenschema chatbot strategy had the opposite effect. Finally, the theoretical and managerial implications were discussed.

Suggested Citation

  • Tao Zhang & Chao Feng & Hui Chen & Junjie Xian, 2022. "Calming the customers by AI: Investigating the role of chatbot acting-cute strategies in soothing negative customer emotions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2277-2292, December.
  • Handle: RePEc:spr:elmark:v:32:y:2022:i:4:d:10.1007_s12525-022-00596-2
    DOI: 10.1007/s12525-022-00596-2
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    as
    1. Michelle L. Roehm & Michael K. Brady, 2007. "Consumer Responses to Performance Failures by High-Equity Brands," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(4), pages 537-545, July.
    2. Joireman, Jeff & Grégoire, Yany & Devezer, Berna & Tripp, Thomas M., 2013. "When do customers offer firms a “second chance” following a double deviation? The impact of inferred firm motives on customer revenge and reconciliation," Journal of Retailing, Elsevier, vol. 89(3), pages 315-337.
    3. Bagherzadeh, Ramin & Rawal, Monika & Wei, Shuqin & Saavedra Torres, Jose Luis, 2020. "The journey from customer participation in service failure to co-creation in service recovery," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    4. Przegalinska, Aleksandra & Ciechanowski, Leon & Stroz, Anna & Gloor, Peter & Mazurek, Grzegorz, 2019. "In bot we trust: A new methodology of chatbot performance measures," Business Horizons, Elsevier, vol. 62(6), pages 785-797.
    5. Lisa C. Wan & Michael K. Hui & Robert S. Wyer Jr., 2011. "The Role of Relationship Norms in Responses to Service Failures," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 38(2), pages 260-277.
    6. Gergana Y. Nenkov & J. Jeffrey Inman & John Hulland, 2008. "Considering the Future: The Conceptualization and Measurement of Elaboration on Potential Outcomes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(1), pages 126-141, November.
    7. Rese, Alexandra & Ganster, Lena & Baier, Daniel, 2020. "Chatbots in retailers’ customer communication: How to measure their acceptance?," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    8. Sylvie Borau & Tobias Otterbring & Sandra Laporte & Samuel Fosso Wamba, 2021. "The most human bot: Female gendering increases humanness perceptions of bots and acceptance of AI," Post-Print hal-03648092, HAL.
    9. Su, Lujun & Hsu, Maxwell K. & Boostrom, Robert E., 2020. "From recreation to responsibility: Increasing environmentally responsible behavior in tourism," Journal of Business Research, Elsevier, vol. 109(C), pages 557-573.
    10. Wang, Yi-Shun & Wu, Shun-Cheng & Lin, Hsin-Hui & Wang, Yu-Yin, 2011. "The relationship of service failure severity, service recovery justice and perceived switching costs with customer loyalty in the context of e-tailing," International Journal of Information Management, Elsevier, vol. 31(4), pages 350-359.
    11. Richins, Marsha L, 1997. "Measuring Emotions in the Consumption Experience," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(2), pages 127-146, September.
    12. Meuter, Matthew L. & Ostrom, Amy L. & Bitner, Mary Jo & Roundtree, Robert, 2003. "The influence of technology anxiety on consumer use and experiences with self-service technologies," Journal of Business Research, Elsevier, vol. 56(11), pages 899-906, November.
    13. Chung, Minjee & Ko, Eunju & Joung, Heerim & Kim, Sang Jin, 2020. "Chatbot e-service and customer satisfaction regarding luxury brands," Journal of Business Research, Elsevier, vol. 117(C), pages 587-595.
    14. Sarkar Sengupta, Aditi & Balaji, M.S. & Krishnan, Balaji C., 2015. "How customers cope with service failure? A study of brand reputation and customer satisfaction," Journal of Business Research, Elsevier, vol. 68(3), pages 665-674.
    15. Severin Weiler & Christian Matt & Thomas Hess, 2022. "Immunizing with information – Inoculation messages against conversational agents’ response failures," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 239-258, March.
    16. John Hulland & Hans Baumgartner & Keith Marion Smith, 2018. "Marketing survey research best practices: evidence and recommendations from a review of JAMS articles," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 92-108, January.
    17. Roy, Rajat & Naidoo, Vik, 2021. "Enhancing chatbot effectiveness: The role of anthropomorphic conversational styles and time orientation," Journal of Business Research, Elsevier, vol. 126(C), pages 23-34.
    18. Tussyadiah, Iis P. & Zach, Florian J. & Wang, Jianxi, 2020. "Do travelers trust intelligent service robots?," Annals of Tourism Research, Elsevier, vol. 81(C).
    19. Sheehan, Ben & Jin, Hyun Seung & Gottlieb, Udo, 2020. "Customer service chatbots: Anthropomorphism and adoption," Journal of Business Research, Elsevier, vol. 115(C), pages 14-24.
    20. Yuanyuan Zhou & Zhuoying Fei & Yuanqiong He & Zhilin Yang, 2022. "How Human–Chatbot Interaction Impairs Charitable Giving: The Role of Moral Judgment," Journal of Business Ethics, Springer, vol. 178(3), pages 849-865, July.
    21. Holger Roschk & Susanne Kaiser, 2013. "The nature of an apology: An experimental study on how to apologize after a service failure," Marketing Letters, Springer, vol. 24(3), pages 293-309, September.
    22. Tsai, Juin-Ming & Cheng, Min-Jhih & Tsai, Her-Her & Hung, Shiu-Wan & Chen, Ya-Ling, 2019. "Acceptance and resistance of telehealth: The perspective of dual-factor concepts in technology adoption," International Journal of Information Management, Elsevier, vol. 49(C), pages 34-44.
    23. Wei, Chuang & Liu, Maggie Wenjing & Keh, Hean Tat, 2020. "The road to consumer forgiveness is paved with money or apology? The roles of empathy and power in service recovery," Journal of Business Research, Elsevier, vol. 118(C), pages 321-334.
    24. Lin Li & Kyung Young Lee & Emmanuel Emokpae & Sung-Byung Yang, 2021. "What makes you continuously use chatbot services? Evidence from chinese online travel agencies," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 575-599, September.
    25. Krafft, Manfred & Sajtos, Laszlo & Haenlein, Michael, 2020. "Challenges and Opportunities for Marketing Scholars in Times of the Fourth Industrial Revolution," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 1-8.
    26. Gergana Y. Nenkov & Maura L. Scott, 2014. ""So Cute I Could Eat It Up": Priming Effects of Cute Products on Indulgent Consumption," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(2), pages 326-341.
    27. Lee, Yong-Ki & Lee, Choong-Ki & Lee, Seung-Kon & Babin, Barry J., 2008. "Festivalscapes and patrons' emotions, satisfaction, and loyalty," Journal of Business Research, Elsevier, vol. 61(1), pages 56-64, January.
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    Cited by:

    1. Rainer Alt, 2022. "Electronic Markets on AI and standardization," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 1795-1805, December.

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    More about this item

    Keywords

    Artificial intelligence; Acting-cute strategies; Chatbot; Negative customer emotion; Product or service failure;
    All these keywords.

    JEL classification:

    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics

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