IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v14y2024i3p21582440241281570.html
   My bibliography  Save this article

Research on Unmanned Smart Hotels Resistance from the Perspective of Innovation Resistance Theory

Author

Listed:
  • Yingying Yang
  • Peng Lu
  • Yuanyuan Niu
  • Guohong Yuan

Abstract

With the development of Artificial intelligence (AI) technology, more and more AI-based smart devices are being applied in the service. Although this brings many benefits to enterprises and consumers, AI’s rapid development and application also induces consumers’ anxiety. This negative emotion affects consumers’ cognitive decision-making process. However, previous studies have focused more on the impact of positive emotion induced by AI and less on negative emotion induced by AI. Therefore, this paper starts from the negative emotion induced by AI and builds an influencing factor model of unmanned smart hotels (USH) resistance guided by feelings-as-information theory (FIT) and innovation resistance theory (IRT). Based on 355 questionnaires, the data are empirically tested. The results show that surveillance anxiety and delegation anxiety induced by AI positively impact functional barriers evaluation of USH, and functional barriers evaluation of USH has a positive impact on USH resistance. This paper enriches the research results in AI and USH by exploring the factors affecting USH resistance and providing suggestions for USH’s future development.

Suggested Citation

  • Yingying Yang & Peng Lu & Yuanyuan Niu & Guohong Yuan, 2024. "Research on Unmanned Smart Hotels Resistance from the Perspective of Innovation Resistance Theory," SAGE Open, , vol. 14(3), pages 21582440241, September.
    • Handle: RePEc:sae:sagope:v:14:y:2024:i:3:p:21582440241281570
    DOI: 10.1177/21582440241281570
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440241281570
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440241281570?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
    ---><---

    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:sae:sagope:v:14:y:2024:i:3:p:21582440241281570. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: SAGE Publications (email available below). General contact details of provider: .

    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.