Algorithmic Management in Hospitality: Examining Hotel Employees’ Attitudes and Work–Life Balance Under AI-Driven HR Systems
Milena Turčinović (),
Aleksandra Vujko () and
Vuk Mirčetić ()
Additional contact information
Vuk Mirčetić: Assistant Professor, Faculty of Applied Management, Economics and Finance (MEF)
Post-Print from HAL
Abstract:
This study investigates hotel employees' perceptions of AI-driven human resource (HR) management systems within the Accor Group's properties across three major European cities: Paris, Berlin, and Amsterdam. These diverse urban contexts, spanning a broad portfolio of hotel brands from luxury to economy, provide a rich setting for exploring how AI integration affects employee attitudes and work-life balance. A total of 437 employees participated in the survey, offering a robust dataset for structural equation modeling (SEM) analysis. Exploratory factor analysis identified two primary factors shaping perceptions: AI Perceptions, which encompasses employee views on AI's impact on job performance, communication, recognition, and retention, and balanced management, reflecting attitudes toward fairness, personal consideration, productivity, and skill development in AI-managed environments. The results reveal a complex but optimistic view, where employees acknowledge AI's potential to enhance operational efficiency and career optimism but also express concerns about flexibility loss and the need for human oversight. The findings underscore the importance of transparent communication, contextual sensitivity, and continuous training in implementing AI systems that support both organizational goals and employee well-being. This study contributes valuable insights to hospitality management by highlighting the relational and ethical dimensions of algorithmic HR systems across varied organizational and cultural settings.
Keywords: work-life balance; AI-driven HR systems; employee perceptions; hospitality industry; algorithmic management; algorithmic management hospitality industry employee perceptions work-life balance AI-driven HR systems (search for similar items in EconPapers)
Date: 2025-10-04
New Economics Papers: this item is included in nep-tur
Note: View the original document on HAL open archive server: https://hal.science/hal-05475493v1
References: Add references at CitEc
Citations:
Published in Tourism and Hospitality, 2025, 6, ⟨10.3390/tourhosp6040203⟩
Downloads: (external link)
https://hal.science/hal-05475493v1/document (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05475493
DOI: 10.3390/tourhosp6040203
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().