Rethinking information disclosure to GenAI in hotels: An extended parallel process model

IF 9.9 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM
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引用次数: 0

Abstract

A critical, yet understudied aspect of generative AI functionality in hotels is consumers’ disclosure of personal information, which carries significant risks. By expanding the Extended Parallel Process Model, this research investigates the role of trust in hotels in impacting consumers’ perceptions of threat and coping efficacy. These perceptions, in turn, influence consumers’ fear perceptions and drive both adaptive behaviors (e.g., protective action and seeking help) and maladaptive behaviors (e.g., avoidance). Ultimately, the disclosure of personal information is strongly influenced by avoidance and, to some extent, by seeking help behaviors, but not by protective action behaviors. As the first study to examine consumers’ disclosure of personal information to generative AI, it extends the literature on processing arguments related to opaque systems like generative AI. Additionally, it provides insightful managerial implications, especially at a time when the hotel industry lacks clear guidance regarding the use of consumers’ personal information within generative AI.
重新思考向酒店中的 GenAI 披露信息:扩展并行程序模型
酒店中的生成式人工智能功能的一个关键方面是消费者披露个人信息,这具有重大风险,但却未得到充分研究。通过扩展并行过程模型,本研究调查了酒店信任在影响消费者的威胁感和应对效能方面的作用。这些感知反过来又会影响消费者的恐惧感,并驱动适应性行为(如采取保护措施和寻求帮助)和不适应性行为(如回避)。最终,个人信息的披露会受到回避行为的强烈影响,并在一定程度上受到寻求帮助行为的影响,但不会受到保护行动行为的影响。作为第一项研究消费者向生成式人工智能披露个人信息的研究,它扩展了与生成式人工智能等不透明系统相关的处理论点的文献。此外,它还提供了深刻的管理启示,尤其是在酒店业对生成式人工智能中消费者个人信息的使用缺乏明确指导的情况下。
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来源期刊
International Journal of Hospitality Management
International Journal of Hospitality Management HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
21.20
自引率
9.40%
发文量
218
审稿时长
85 days
期刊介绍: The International Journal of Hospitality Management serves as a platform for discussing significant trends and advancements in various disciplines related to the hospitality industry. The publication covers a wide range of topics, including human resources management, consumer behavior and marketing, business forecasting and applied economics, operational management, strategic management, financial management, planning and design, information technology and e-commerce, training and development, technological developments, and national and international legislation. In addition to covering these topics, the journal features research papers, state-of-the-art reviews, and analyses of business practices within the hospitality industry. It aims to provide readers with valuable insights and knowledge in order to advance research and improve practices in the field. The journal is also indexed and abstracted in various databases, including the Journal of Travel Research, PIRA, Academic Journal Guide, Documentation Touristique, Leisure, Recreation and Tourism Abstracts, Lodging and Restaurant Index, Scopus, CIRET, and the Social Sciences Citation Index. This ensures that the journal's content is widely accessible and discoverable by researchers and practitioners in the hospitality field.
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