Examining the impact of artificial intelligence on hotel employees through job insecurity perspectives

Abstract Artificial intelligence is another advance in technology for the hotel industry and its role is undetermined at this time. The overarching purpose of this treatise was to examine hotel employees’ perception of AI and its impact by identifying the critical role of job insecurity, job engagement, and turnover intention through a pragmatic approach. An explanatory sequential mixed-methods design was used by conducting a quantitative study with an empirical survey method followed by a qualitative study with a case study method. The results from the quantitative study demonstrated that perceived job insecurity significantly affected perceived job engagement and perceived job insecurity indirectly affected turnover intention through intermediary variable of perceived job engagement. There were no statistical differences between non-managerial positions and managerial positions. These results were fully supported by the qualitative study. The implications from these findings were provided to articulate the influence of AI on hotel employees.