When disclosing the artificial intelligence (AI) technology integration into service delivery backfires: Roles of fear of AI, identity threat and existential threat

被引:6
|
作者
Xu, Yingwei [1 ]
Zhou, Gongmei [2 ]
Cai, Ruiying [1 ]
Gursoy, Dogan [1 ,3 ]
机构
[1] Washington State Univ, Carson Coll Business, Sch Hospitality Business Management, Pullman, WA 99163 USA
[2] Chongqing Technol & Business Univ, Sch Business Adm, Chongqing, Peoples R China
[3] Univ Johannesburg, Sch Tourism & Hospitality, Johannesburg, South Africa
关键词
AI presence; Technological singularity; Fear of AI; Existential threat; Identity threat; Customers' acceptance; INTERGROUP THREAT; TRUST; AVOIDANCE;
D O I
10.1016/j.ijhm.2024.103829
中图分类号
F [经济];
学科分类号
02 ;
摘要
Grounded in technological singularity theory, this research assesses how disclosing AI integration in hospitality services impact customers' attitudes and behavioral intentions in three studies. Specifically, study 1 lays the foundation by showing that disclosing the AI presence reduces customers' cognitive and affective trust, perceived quality, and usage intention in hedonic services but not in utilitarian ones. Study 2 further reveals that disclosing AI integration in hedonic contexts significantly heightens the adverse effects of fear of AI on customers' responses. Study 3 identifies that existential and identity threats of AI are the primary drivers of customers' fear of AI, with existential threats being more impactful. The findings indicate that disclosing AI integration hinders customers' acceptance of such technologies in hospitality services. This research identifies the key indicators of such effects and provides implications for strategizing the disclosure of AI in hospitality services to alleviate customers' negative reactions.
引用
收藏
页数:12
相关论文
共 11 条
  • [1] The rise of artificial intelligence – understanding the AI identity threat at the workplace
    Milad Mirbabaie
    Felix Brünker
    Nicholas R. J. Möllmann Frick
    Stefan Stieglitz
    Electronic Markets, 2022, 32 : 73 - 99
  • [2] The rise of artificial intelligence - understanding the AI identity threat at the workplace
    Mirbabaie, Milad
    Bruenker, Felix
    Moellmann , Nicholas R. J.
    Stieglitz, Stefan
    ELECTRONIC MARKETS, 2022, 32 (01) : 73 - 99
  • [3] AI Enabled Threat Detection: Leveraging Artificial Intelligence for Advanced Security and Cyber Threat Mitigation
    Dhanushkodi, Kavitha
    Thejas, S.
    IEEE ACCESS, 2024, 12 : 173127 - 173136
  • [4] Assessing Artificial Intelligence for Humanity Will AI be Our Biggest Ever Advance - or the Biggest Threat?
    Nowak, Andrzej
    Lukowicz, Paul
    Horodecki, Pawel
    IEEE TECHNOLOGY AND SOCIETY MAGAZINE, 2018, 37 (04) : 26 - 34
  • [5] Fear of AI: an inquiry into the adoption of autonomous cars in spite of fear, and a theoretical framework for the study of artificial intelligence technology acceptance
    Cugurullo, Federico
    Acheampong, Ransford A.
    AI & SOCIETY, 2024, 39 (04) : 1569 - 1584
  • [6] Fear of the new technology: Investigating the factors that influence individual attitudes toward generative Artificial Intelligence (AI)
    Wang, Guoyu
    Obrenovic, Bojan
    Gu, Xiao
    Godinic, Danijela
    CURRENT PSYCHOLOGY, 2025,
  • [7] Integration of Carbon Dioxide Removal (CDR) Technology and Artificial Intelligence (AI) in Energy System Optimization
    Li, Guanglei
    Luo, Tengqi
    Liu, Ran
    Song, Chenchen
    Zhao, Congyu
    Wu, Shouyuan
    Liu, Zhengguang
    PROCESSES, 2024, 12 (02)
  • [8] Technology acceptance of artificial intelligence (AI) among heads of finance and accounting units in the shared service industry
    Norzelan, Nur Azira
    Mohamed, Intan Salwani
    Mohamad, Maslinawati
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2024, 198
  • [9] Reimagining the role of technology in sport officiating: how artificial intelligence (AI) supports the design and delivery of ecologically dynamic development processes
    O'Brien, Katherine A.
    O'Keeffe, Michael
    MANAGING SPORT AND LEISURE, 2022,
  • [10] Integration of artificial intelligence (AI) to predict the behavior of milk enhanced with silver and zinc oxide nanoparticles when subjected to rapid heating in a movable electromagnetic channel
    Karmakar, Poly
    Das, Sanatan
    MODERN PHYSICS LETTERS B, 2025,