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AI service may backfire: Reduced service warmth due to service provider transformation

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  • Lv, Xingyang
  • Yang, Yufan
  • Qin, Dazhi
  • Liu, Xiaoyan

Abstract

Perceived service warmth, arising from interactions between customers and employees, is a fundamental component of the hospitality industry. However, as artificial intelligence (AI) facilities such as service robots and chatbots gradually replace the role of human staff, the inherent warmth of the hospitality industry may be under threat. Therefore, the current research aims to investigate how such service provider transformations might influence customer warmth perceptions, the underlying mechanism, and practical solutions for firms that plan to deploy AI facilities in the future. Using five studies (and a supplemental study), we demonstrate that AI (vs. human) service significantly reduces customers’ perceived service warmth due to the diminished mind perceptions (i.e., experience and agency) of AI staff as service providers. Such a warmth loss effect further leads to lower customers’ continuous usage intention of AI service. However, the effect is attenuated when AI staff interacts with customers using an informal (vs. formal) language style or for customers with a utilitarian (vs. hedonic) motivation. The findings of this research contribute to the literature on AI service and provide valuable insights for marketers into effective AI deployment in the hospitality industry.

Suggested Citation

  • Lv, Xingyang & Yang, Yufan & Qin, Dazhi & Liu, Xiaoyan, 2025. "AI service may backfire: Reduced service warmth due to service provider transformation," Journal of Retailing and Consumer Services, Elsevier, vol. 85(C).
  • Handle: RePEc:eee:joreco:v:85:y:2025:i:c:s096969892500061x
    DOI: 10.1016/j.jretconser.2025.104282
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    References listed on IDEAS

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    1. Pham, Hong Chuong & Duong, Cong Doanh & Nguyen, Giang Khanh Huyen, 2024. "What drives tourists’ continuance intention to use ChatGPT for travel services? A stimulus-organism-response perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    2. Chiara Longoni & Andrea Bonezzi & Carey K Morewedge, 2019. "Resistance to Medical Artificial Intelligence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(4), pages 629-650.
    3. Patrizi, Michela & Šerić, Maja & Vernuccio, Maria, 2024. "Hey Google, I trust you! The consequences of brand anthropomorphism in voice-based artificial intelligence contexts," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    4. Prentice, Catherine & Nguyen, Mai, 2020. "Engaging and retaining customers with AI and employee service," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    5. El Hedhli, Kamel & Zourrig, Haithem & Al Khateeb, Amr & Alnawas, Ibrahim, 2023. "Stereotyping human-like virtual influencers in retailing: Does warmth prevail over competence?," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    6. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    7. Peter Hofmann & Caroline Samp & Nils Urbach, 2020. "Robotic process automation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(1), pages 99-106, March.
    8. Dhruv Grewal & Stephanie M. Noble & Anne L. Roggeveen & Jens Nordfalt, 2020. "The future of in-store technology," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 96-113, January.
    9. Cheng, Zhendong & Fan, Wenfang & Shao, Bingjia & Jia, Wenli & Zhang, Yong, 2024. "The impact of intelligent customer service agents’ initial response on consumers’ continuous interaction intention," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    10. Aaker, David A & Stayman, Douglas M & Hagerty, Michael R, 1986. "Warmth in Advertising: Measurement, Impact, and Sequence Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(4), pages 365-381, March.
    11. Jin Han & Yong Sohn & Kun Yoo, 2015. "The Korean language and the effects of its honorifics system in advertising: deferential vs. informal speech as regulatory prime on persuasive impact," Marketing Letters, Springer, vol. 26(3), pages 321-333, September.
    12. Ronan de Kervenoael & Rajibul Hasan & Alexandre Schwob & Edwin Goh, 2020. "Leveraging human-robot interaction in hospitality services: Incorporating the role of perceived value, empathy, and information sharing into visitors’ intentions to use social robots," Post-Print hal-02782265, HAL.
    13. Gretry, Anaïs & Horváth, Csilla & Belei, Nina & van Riel, Allard C.R., 2017. "“Don't pretend to be my friend!” When an informal brand communication style backfires on social media," Journal of Business Research, Elsevier, vol. 74(C), pages 77-89.
    14. Moore, Simon & Bulmer, Sandy & Elms, Jonathan, 2022. "The social significance of AI in retail on customer experience and shopping practices," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    15. Barcelos, Renato Hübner & Dantas, Danilo C. & Sénécal, Sylvain, 2018. "Watch Your Tone: How a Brand's Tone of Voice on Social Media Influences Consumer Responses," Journal of Interactive Marketing, Elsevier, vol. 41(C), pages 60-80.
    16. Lv, Xingyang & Liu, Yue & Luo, Jingjing & Liu, Yuqing & Li, Chunxiao, 2021. "Does a cute artificial intelligence assistant soften the blow? The impact of cuteness on customer tolerance of assistant service failure," Annals of Tourism Research, Elsevier, vol. 87(C).
    17. Peiyu Zhou & Yuguang Xie & Changyong Liang, 2023. "How to increase consumers’ continued use intention of artificial intelligence voice assistants? The role of anthropomorphic features," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-18, December.
    18. Zhao, Lu & Zhang, Mingli & Ming, Yaxin & Niu, Tao & Wang, Yu, 2023. "The effect of image richness on customer engagement: Evidence from Sina Weibo," Journal of Business Research, Elsevier, vol. 154(C).
    19. Lee, Kuo-Wei & Li, Chia-Ying, 2023. "It is not merely a chat: Transforming chatbot affordances into dual identification and loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    20. Liu, Fanjue & Lee, Yu-Hao, 2024. "Virtually responsible? Attribution of responsibility toward human vs. virtual influencers and the mediating role of mind perception," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    21. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    22. Eeva-Liisa Oikarinen & Saila Saraniemi, 2016. "Categorizing Humorous Employer Brand Message in a Small Company’s Online Job Ads," Corporate Reputation Review, Palgrave Macmillan, vol. 19(3), pages 198-218, October.
    23. Quach, Sara & Barari, Mojtaba & Moudrý, Dann Vit & Quach, Ken, 2022. "Service integration in omnichannel retailing and its impact on customer experience," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    24. Tussyadiah, Iis, 2020. "A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism," Annals of Tourism Research, Elsevier, vol. 81(C).
    25. Lv, Xingyang & Shi, Kewei & He, Yueying & Ji, Yingchao & Lan, Tian, 2024. "My colleague is not “human”: Will working with robots make you act more indifferently?," Journal of Business Research, Elsevier, vol. 176(C).
    26. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    27. Chuah, Stephanie Hui-Wen & Yu, Joanne, 2021. "The future of service: The power of emotion in human-robot interaction," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    28. Wu, Laurie & Shen, Han & Fan, Alei & Mattila, Anna S., 2017. "The impact of language style on consumers′ reactions to online reviews," Tourism Management, Elsevier, vol. 59(C), pages 590-596.
    29. Gursoy, Dogan & Chi, Oscar Hengxuan & Lu, Lu & Nunkoo, Robin, 2019. "Consumers acceptance of artificially intelligent (AI) device use in service delivery," International Journal of Information Management, Elsevier, vol. 49(C), pages 157-169.
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