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Artificial intelligence through the lens of hospitality employees: A systematic review
International Journal of Hospitality Management ( IF 9.9 ) Pub Date : 2024-11-07 , DOI: 10.1016/j.ijhm.2024.103986 Ekta Kumawat, Amit Datta, Catherine Prentice, Rosanna Leung
International Journal of Hospitality Management ( IF 9.9 ) Pub Date : 2024-11-07 , DOI: 10.1016/j.ijhm.2024.103986 Ekta Kumawat, Amit Datta, Catherine Prentice, Rosanna Leung
The hospitality industry has undergone a comprehensive transformation with the infusion of artificial intelligence into its processes, but the employees’ adoption of artificial intelligence has been scantly studied. This systematic review comprises 80 empirical articles listed in the Scopus database that study hospitality employees as key participants, which were selected using the PRISMA approach. We used bibliometric analysis to identify the most prominent countries, journals, authors, and keywords and then applied the TCCM framework to gain a deeper understanding. The synthesis draws upon various theories, characteristics, contexts, and methodologies. The prominent antecedents, outcomes, mediators, and moderators are identified while highlighting their linkage. This study will help managers, policymakers, and owners comprehensively understand AI adoption and its impact on hospitality employees. The future research agenda provides theoretical, contextual, empirical, and methodological directions paving the way for hospitality to move toward the achievement of Sustainable Development Goals (SDGs).
中文翻译:
酒店员工视角下的人工智能:系统评价
随着人工智能的注入,酒店业经历了一场全面的转型,但员工对人工智能的采用却很少研究。本系统综述包括 Scopus 数据库中列出的 80 篇实证文章,这些文章将酒店员工作为关键参与者进行研究,这些文章是使用 PRISMA 方法选择的。我们使用文献计量分析来确定最突出的国家、期刊、作者和关键词,然后应用 TCCM 框架来获得更深入的理解。该综合借鉴了各种理论、特征、背景和方法。确定了突出的前因、结果、中介和调节因素,同时突出了它们的联系。这项研究将帮助管理人员、政策制定者和业主全面了解 AI 的采用及其对酒店员工的影响。未来的研究议程提供了理论、背景、实证和方法论方向,为酒店业朝着实现可持续发展目标 (SDG) 铺平了道路。
更新日期:2024-11-07
中文翻译:
酒店员工视角下的人工智能:系统评价
随着人工智能的注入,酒店业经历了一场全面的转型,但员工对人工智能的采用却很少研究。本系统综述包括 Scopus 数据库中列出的 80 篇实证文章,这些文章将酒店员工作为关键参与者进行研究,这些文章是使用 PRISMA 方法选择的。我们使用文献计量分析来确定最突出的国家、期刊、作者和关键词,然后应用 TCCM 框架来获得更深入的理解。该综合借鉴了各种理论、特征、背景和方法。确定了突出的前因、结果、中介和调节因素,同时突出了它们的联系。这项研究将帮助管理人员、政策制定者和业主全面了解 AI 的采用及其对酒店员工的影响。未来的研究议程提供了理论、背景、实证和方法论方向,为酒店业朝着实现可持续发展目标 (SDG) 铺平了道路。