Artificial intelligence in hospitality: A transactional stress perspective on the mental health of hospitality workers

IF 9.9 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM
Jiaqi Yan , Qijie Xiao , Stephen X. Zhang , Priyanko Guchait
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Abstract

The rapid technological development of Artificial Intelligence (AI) in the hospitality industry significantly influences the mental health of hospitality workers. Based on the transactional theory of stress and coping (TTSC), we examined how AI awareness among hospitality workers may influence their mental health symptoms (e.g. depression and anxiety as measured by the PHQ-4). We collected data from 258 hotel workers by using a time-lagged design with a one-month interval. Results showed that AI awareness contributed to depression and anxiety through role conflict. Furthermore, the AI-enabled human resource (HR) analytics and HR management (HRM) system strength moderated the relationship between AI awareness and role conflict. The moderating effect of AI-enabled HR analytics is facilitated by HRM system strength. Our model, which elucidates the complex mechanisms involved in how AI shapes workers’ mental health, carries important implications for understanding how hospitality organizations can effectively manage technological transformation while supporting workers’ mental health.
酒店业中的人工智能:从交易压力角度看酒店业员工的心理健康
人工智能(AI)在酒店业的快速技术发展对酒店员工的心理健康产生了重大影响。基于压力与应对的交易理论(TTSC),我们研究了酒店员工的人工智能意识如何影响他们的心理健康症状(例如,PHQ-4测量的抑郁和焦虑)。我们采用间隔一个月的时间滞后设计收集了258名酒店员工的数据。结果表明,人工智能意识通过角色冲突导致抑郁和焦虑。此外,人工智能支持的人力资源分析和人力资源管理系统强度调节了人工智能意识与角色冲突之间的关系。人力资源管理系统的强度促进了人工智能支持的人力资源分析的调节作用。我们的模型阐明了人工智能如何塑造工人心理健康的复杂机制,对于理解酒店组织如何在支持工人心理健康的同时有效地管理技术转型具有重要意义。
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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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