Addressing the needs of an aging workforce in luxury hotels with a focus on perceived job insecurity and AI attitudes

Purpose The adoption of artificial intelligence (AI) in the luxury hotel industry may increase job insecurity, especially for older workers who struggle to adapt to new technologies. Thus, this study aims to design to examine the impact of employee age on perceived job insecurity, incorporating AI attitudes within the luxury hotel sector. Design/methodology/approach The two-step approach was used to test the proposed hypotheses. Structural equation modeling analysis was conducted to test the proposed measurement model and confirm the significance of the hypothesis and multi-group analysis was performed to confirm the differential influence of employee departments. Findings The findings indicated that employee age significantly increased perceived job insecurity and fostered negative attitudes toward AI. In addition, AI attitudes acted as a key mediator in this relationship. However, the expectation regarding the potential moderating roles of job types (front-of-house vs back-of-house) was not supported. Originality/value This study expands the traditional age-based approach to job insecurity by incorporating the evolving dynamics of today’s workforce, contributing to the existing knowledge and offering actionable insights for management. Building upon this evidence, the finding regarding the significant impact of age on perceived job insecurity provides valuable implications for hotel management to develop more effective strategies for retaining older employees.