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.

中文翻译：

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酒店业人工智能：关于酒店业员工心理健康的交易压力观点


酒店业人工智能 （AI） 的快速技术发展显着影响了酒店工作人员的心理健康。基于压力与应对交易理论 （TTSC），我们研究了酒店工作人员的 AI 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）。我们使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，AI 意识通过角色冲突导致了抑郁和焦虑。此外，人工智能支持的人力资源 （HR） 分析和人力资源管理 （HRM） 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优势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员工心理健康所涉及的复杂机制，对于理解酒店组织如何在支持员工心理健康的同时有效管理技术转型具有重要意义。