“They” threaten my work: How AI service robots negatively impact frontline hotel employees through organizational dehumanization
ORCID
- Jinhua Zhang: 0000-0002-0182-4306
Abstract
This study aims to investigate the potential effects of AI service robots on frontline employees (FLEs) in the hospitality industry. Drawing on coping theory, we established a theoretical model to study the responses of FLEs when they work alongside service robots, which is represented by the variables of infrastructure capability (IC) and service robot performance (SRP). We considered organizational dehumanization (OD) as a state of stress for FLEs resulting from the presence of service robots. The findings of partial least squares structural equation modelling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) suggest that OD mediates the positive influence of AI service robot adoption on FLEs’ service performance. Simultaneously, the adoption of AI service robots significantly undermines FLE’s service passion through OD’s mediation. This study provides new insights into the mechanisms of human-robot interaction and suggests practical approaches for the hospitality industry.
Publication Date
2025-03-20
Publication Title
International Journal of Hospitality Management
Volume
128
ISSN
1873-4693
Embargo Period
2028-03-20
Keywords
AI service robot, Frontline employee, Frontline employee passion, Infrastructure capabilities, Organizational dehumanization, Service performance
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Xu, T., Zheng, Y., Zhang, J., & Wang, Z. (2025) '“They” threaten my work: How AI service robots negatively impact frontline hotel employees through organizational dehumanization', International Journal of Hospitality Management, 128. Available at: 10.1016/j.ijhm.2025.104162
