TY - JOUR
T1 - Artificial intelligence in hospitality
T2 - a transactional stress perspective on the mental health of hospitality workers
AU - Yan, Jiaqi
AU - Xiao, Qijie
AU - Zhang, Stephen X.
AU - Guchait, Priyanko
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2025/4
Y1 - 2025/4
N2 - 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.
AB - 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.
KW - Artificial intelligence awareness
KW - HR analytics
KW - HRM system strength
KW - Mental health
KW - Role conflict
KW - The transactional theory of stress and coping
UR - http://www.scopus.com/inward/record.url?scp=85211053634&partnerID=8YFLogxK
U2 - 10.1016/j.ijhm.2024.104029
DO - 10.1016/j.ijhm.2024.104029
M3 - Article
AN - SCOPUS:85211053634
SN - 0278-4319
VL - 126
JO - International Journal of Hospitality Management
JF - International Journal of Hospitality Management
M1 - 104029
ER -