Transforming hospitality 5.0: a systematic review of AI’s impact on employee experience and well-being

Shobha Maindola et al.

International Journal of Quality and Service Sciences2026https://doi.org/10.1108/ijqss-09-2025-0245article
AJG 1ABDC B
Weight
0.50

Abstract

Purpose Organisations are becoming increasingly invested in artificial intelligence (AI), and many face challenges in helping employees adapt to these new technologies. This study aims to consolidate and synthesise the existing literature to underscore the importance of understanding employees’ experiences in AI-enabled work environments and the potential impact on their psychological well-being. Design/methodology/approach The review employed a structured process of searching, screening and synthesising studies, as proposed by Tranfield et al. (2003). The study selection followed PRISMA, and thematic analysis was used to analyse 137 articles to identify significant patterns and concepts. Findings This study identifies six key themes. 1. Present State of AI-Employee-AI Collaboration: Defining Employee Roles and Guest Experiences in Hospitality 5.0; 2. AI Transforming the Employee Experience; 3. AI Integration and Its Impact on Employee Psychological Well-Being in the Hospitality Sector; 4. Implications of Employee Experience on Employee Psychological Well-Being; 5. Importance of Embracing AI in Hospitality; and 6. Theoretical Frameworks for Employees’ Acceptance of AI in the Workplace. Together, these themes show both how AI empowers and limits employees, highlighting the importance of employee-centred methods. Originality/value This review provides a unified synthesis of how AI reshapes employee experience and psychological well-being in hospitality, explicitly linking two constructs that have remained under-theorised in prior research. This study concludes with a research agenda of six key areas to advance understanding of human–AI collaboration and employee experience, and also offers strategic guidance for practitioners managing Industry transformations in Hospitality 5.0.

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https://doi.org/https://doi.org/10.1108/ijqss-09-2025-0245

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@article{shobha2026,
  title        = {{Transforming hospitality 5.0: a systematic review of AI’s impact on employee experience and well-being}},
  author       = {Shobha Maindola et al.},
  journal      = {International Journal of Quality and Service Sciences},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/ijqss-09-2025-0245},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.