IDEAS home Printed from https://ideas.repec.org/a/eee/anture/v103y2023ics016073832300141x.html
   My bibliography  Save this article

Humor type and service context shape AI service recovery

Author

Listed:
  • Liu, Juan
  • Xu, Xing'an

Abstract

While artificial intelligence (AI) service failure is inevitable in tourism and hospitality, scholarly attention to it is limited. This study investigated how the type of humor (self-deprecating or self-enhancing) that AI agents adopt interacted with the service context (hedonic-dominant or utilitarian-dominant) in influencing customers' intentions to continue using AI devices. Findings indicate that in hedonic-dominant service contexts, self-deprecating and self-enhancing humor increase continuous usage intention; in utilitarian-dominant service contexts, only self-deprecating humor boosts continuous usage intention. Results also reveal the mediating roles of positive emotion and inferred negative motives along with the moderating effect of anthropomorphism. This study enriches theories on AI service recovery and offers tourism firms suggestions on how to use humor to resolve AI service failures.

Suggested Citation

  • Liu, Juan & Xu, Xing'an, 2023. "Humor type and service context shape AI service recovery," Annals of Tourism Research, Elsevier, vol. 103(C).
    • Handle: RePEc:eee:anture:v:103:y:2023:i:c:s016073832300141x
    DOI: 10.1016/j.annals.2023.103668
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S016073832300141X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.annals.2023.103668?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Liu, Xing (Stella) & Yi, Xiao (Shannon) & Wan, Lisa C., 2022. "Friendly or competent? The effects of perception of robot appearance and service context on usage intention," Annals of Tourism Research, Elsevier, vol. 92(C).
    3. Yang, Hongyan & Xu, Hong & Zhang, Yan & Liang, Yan & Lyu, Ting, 2022. "Exploring the effect of humor in robot failure," Annals of Tourism Research, Elsevier, vol. 95(C).
    4. Taekyung Kim & Hwirim Jo & Yerin Yhee & Chulmo Koo, 2022. "Robots, artificial intelligence, and service automation (RAISA) in hospitality: sentiment analysis of YouTube streaming data," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 259-275, March.
    5. Kobel, Sarah & Groeppel-Klein, Andrea, 2021. "No laughing matter, or a secret weapon? Exploring the effect of humor in service failure situations," Journal of Business Research, Elsevier, vol. 132(C), pages 260-269.
    6. Xu, Xing'an & Liu, Juan, 2022. "Artificial intelligence humor in service recovery," Annals of Tourism Research, Elsevier, vol. 95(C).
    7. Claudia Townsend & Sanjay Sood, 2012. "Self-Affirmation through the Choice of Highly Aesthetic Products," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(2), pages 415-428.
    8. 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.
    9. Fernandes, Teresa & Oliveira, Elisabete, 2021. "Understanding consumers’ acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption," Journal of Business Research, Elsevier, vol. 122(C), pages 180-191.
    10. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Park, Junsung & Yoo, Joon Woo & Cho, Youngju & Park, Heejun, 2023. "Examining the impact of service robot communication styles on customer intimacy following service failure," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    2. Xie, Yuguang & Liang, Changyong & Zhou, Peiyu & Jiang, Li, 2024. "Exploring the influence mechanism of chatbot-expressed humor on service satisfaction in online customer service," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    3. Choi, Sungwoo & Wan, Lisa C. & Mattila, Anna S., 2024. "Unintended indulgence in robotic service encounters," Annals of Tourism Research, Elsevier, vol. 106(C).
    4. Xu, Xing'an & Liu, Juan, 2022. "Artificial intelligence humor in service recovery," Annals of Tourism Research, Elsevier, vol. 95(C).
    5. 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).
    6. Xu, Xing'an & Liu, Juan, 2024. "Promotional games in service recovery: Luck works," Annals of Tourism Research, Elsevier, vol. 105(C).
    7. Yang, Hongyan & Xu, Hong & Zhang, Yan & Liang, Yan & Lyu, Ting, 2022. "Exploring the effect of humor in robot failure," Annals of Tourism Research, Elsevier, vol. 95(C).
    8. Khaksar, Seyed Mohammad Sadegh & Shahmehr, Fatemeh S. & Miah, Shah & Daim, Tugrul & Ozdemir, Dilek, 2024. "Privacy concerns versus personalisation benefits in social robot acceptance by employees: A paradox theory — Contingency perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    9. Liu, Xing (Stella) & Yi, Xiao (Shannon) & Wan, Lisa C., 2022. "Friendly or competent? The effects of perception of robot appearance and service context on usage intention," Annals of Tourism Research, Elsevier, vol. 92(C).
    10. Song, Jinzhu & Gao, Yanhuan & Huang, Youlin & Chen, Lihan, 2023. "Being friendly and competent: Service robots' proactive behavior facilitates customer value co-creation," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    11. Yao, Ruiqi & Qi, Guijie & Wu, Zhiqiang & Sun, Hua & Sheng, Dongfang, 2024. "Digital human calls you dear: How do customers respond to virtual streamers’ social-oriented language in e-commerce livestreaming? A stereotyping perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    12. van Esch, Patrick & Cui, Yuanyuan (Gina) & Das, Gopal & Jain, Shailendra Pratap & Wirtz, Jochen, 2022. "Tourists and AI: A political ideology perspective," Annals of Tourism Research, Elsevier, vol. 97(C).
    13. Santiago, Joanna & Borges-Tiago, Maria Teresa & Tiago, Flávio, 2024. "Embracing RAISA in restaurants: Exploring customer attitudes toward robot adoption," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    14. Zhu, Yimin & Zhang, Jiemin & Wu, Jifei & Liu, Yingyue, 2022. "AI is better when I'm sure: The influence of certainty of needs on consumers' acceptance of AI chatbots," Journal of Business Research, Elsevier, vol. 150(C), pages 642-652.
    15. Agnihotri, Arpita & Bhattacharya, Saurabh & Vrontis, Demetris, 2024. "Can salespersons help firms overcome brand image crisis? Role of facial appearance," Journal of Business Research, Elsevier, vol. 176(C).
    16. 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).
    17. Pelau Corina & Barbul Maria & Bojescu Irina, 2022. "A conceptual comparative approach on personal AI assistants and external service robots," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 16(1), pages 1466-1474, August.
    18. Xu, Xing'an & Liu, Juan & Gursoy, Dogan, 2022. "Emotional intelligence similarity in service recovery," Annals of Tourism Research, Elsevier, vol. 96(C).
    19. Liu, Biqiang & Li, Yaoqi, 2022. "Teddy-bear effect in service recovery," Annals of Tourism Research, Elsevier, vol. 94(C).
    20. Haase, Janina & Wiedmann, Klaus-Peter & Labenz, Franziska, 2022. "Brand hate, rage, anger & co.: Exploring the relevance and characteristics of negative consumer emotions toward brands," Journal of Business Research, Elsevier, vol. 152(C), pages 1-16.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:anture:v:103:y:2023:i:c:s016073832300141x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/annals-of-tourism-research/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.