Assessing Turnover Intentions of Algorithmically Managed Hospitality Workers

Mónica Segovia-Perez; Branislava Jianu; Iis Tussyadiah

doi:10.1007/978-3-031-25752-0_39

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Assessing Turnover Intentions of Algorithmically Managed Hospitality Workers

Mónica Segovia-Perez, Branislava Jianu and Iis Tussyadiah

Information and Communication Technologies in Tourism 2023 - Proceedings of the ENTER 2023 eTourism Conference, January 18-20, 2023

Springer Proceedings in Business and Economics

Information and Communication Technologies in Tourism 2023 (ENTER23) (Johannesburg, South Africa, 18/01/2023 - 20/01/2023)

15/01/2023

DOI: https://doi.org/10.1007/978-3-031-25752-0_39

Abstract

algorithmic management

turnover intention

AI awareness

Employee turnover has been one of the main concerns facing the hospitality industry. This issue seems to be aggravated in artificial intelligence (AI) environment, where AI implementation is associated with pressure, job alienation, and labor replacement, increasing workers’ desire to quit their job. To analyze the relationship between AI awareness, job alienation, discrimination, and turnover intention, an online survey was distributed to hospitality employees (n = 450). From a series of independent-samples T-tests and regression analyses, this study found employees’ turnover intentions are significantly associated with employees’ concerns of being replaced by AI, perception of job alienation, and workplace discrimination. Importantly, current algorithmically managed workers tend to feel more powerless and discriminated against, and thus have higher turnover intentions. Recommendations for practice and future research are provided.

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Title: Assessing Turnover Intentions of Algorithmically Managed Hospitality Workers
Creators: Mónica Segovia-Perez - University of Rey Juan Carlos
Branislava Jianu (Corresponding Author) - University of Surrey, Surrey Hospitality and Tourism Management
Iis Tussyadiah (Author) - University of Surrey, Surrey Hospitality and Tourism Management
Publication Details: Information and Communication Technologies in Tourism 2023 - Proceedings of the ENTER 2023 eTourism Conference, January 18-20, 2023
Conference: Information and Communication Technologies in Tourism 2023 (ENTER23) (Johannesburg, South Africa, 18/01/2023 - 20/01/2023)
Series: Springer Proceedings in Business and Economics
Publisher: Springer
Date published: 15/01/2023
Identifiers: 99728066402346
Copyright: © 2023 The Author(s). Open Access. This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Academic Unit: Surrey Hospitality and Tourism Management
Resource Type: Conference proceeding
SDG (Scopus 2023): SDG 10

Assessing Turnover Intentions of Algorithmically Managed Hospitality Workers

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