AI Technology in Contemporary Hotels: Impact on Employee Turnover Intentions

Strategic Insights -

Research conducted by Shandong Women's University has shed light on the effects of artificial intelligence (AI) technology on employee turnover intentions in contemporary hotels. The study, published in the Journal of Hospitality and Tourism Technology, demonstrated that perceived organizational support (POS) significantly impacts employee turnover intentions, with both the perceived value and threat of AI playing partial mediating roles. The findings have significant implications for hotel managers, employees, and AI technology developers, providing practical guidance on how to minimize turnover intentions among hotel employees caused by AI technology.

Key Takeaways:

  • The study, which collected 554 valid questionnaires, found that POS significantly impacts employee turnover intentions in contemporary hotels with AI applications.
  • The perceived value and threat of AI played partial mediating roles between POS and employee turnover intentions.
  • The research provides practical guidance for hotel managers, employees, and AI technology developers to minimize turnover intentions among hotel employees caused by AI technology.
  • The study offers a dual mediation model with perceived AI for the POS-turnover intention relationship.
  • This research is the initial attempt to design a dual mediation model with perceived AI for the POS-turnover intention relationship.
  • The findings have significant implications for the contemporary hotel industry with AI applications, providing practical enlightenment for hotel managers and employees.

Statistics:

  • A total of 554 valid questionnaires were collected using the random sampling technique.
  • 24 interviewees were involved in Stage 2 - Qualitative Methodology, using the objective sampling technique.
  • The study used SPSS and SmartPLS software to verify hypotheses.
  • 21-23 Wellington Street, Leeds, W Yorkshire, England, serves as the contact address for Emerald Group Publishing Ltd, the publisher of the Journal of Hospitality and Tourism Technology.

Sources:

  • Extension of the Pos-ti Relationship - In the Context of Contemporary Hotels With Ai Applications. Journal of Hospitality and Tourism Technology, 2025.
  • NewsRx. Findings from Shandong Women's University Update Knowledge of Hospitality and Tourism Technology (Extension of the Pos-ti Relationship - In the Context of Contemporary Hotels With Ai Applications). Leisure & Travel Week. October 18, 2025; p 33.