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Technological Advancements and Organizational Discrimination: The Dual Impact of Industry 5.0 on Migrant Workers

Author

Listed:
  • Erhan Aydin

    (Liverpool Business School, Liverpool John Moores University, Liverpool L3 5UG, UK
    Management and CSR, IPAG Business School Paris, 75006 Paris, France)

  • Mushfiqur Rahman

    (Human Resource and Business Management, University of Wales Trinity Saint David London Campus, London E14 4HA, UK)

  • Cagri Bulut

    (Euro-Mediterranean University EMUNI, 6000 Koper, Slovenia)

  • Roberto Biloslavo

    (Faculty of Management, University of Primorska, 6000 Koper, Slovenia
    Institute for Behavioural Economics, Science and Research Centre Koper, 6000 Koper, Slovenia)

Abstract

This study explores the impact of Industry 5.0 on discriminatory behaviors toward migrant employees within organizations. Through semi-structured qualitative interviews with 15 migrant workers in the UK, this research identifies key challenges faced by migrant employees amidst the integration of advanced technologies like AI and robotics in HRM systems. Thematic analysis reveals that while Industry 5.0 has the potential to mitigate human biases, it can also perpetuate existing prejudices if not managed effectively. This study highlights two main themes: the experiences of discrimination and challenges in the context of Industry 5.0, and the role of technology in HRM systems. The findings indicate that automated HR systems can both reduce and increase biases, highlighting the importance of inclusive practices and targeted support programs to help migrant workers adapt to a technologically advanced labor market. This research contributes to the literature by providing insights into the duality of technological advancements in reducing and reinforcing workplace discrimination.

Suggested Citation

  • Erhan Aydin & Mushfiqur Rahman & Cagri Bulut & Roberto Biloslavo, 2024. "Technological Advancements and Organizational Discrimination: The Dual Impact of Industry 5.0 on Migrant Workers," Administrative Sciences, MDPI, vol. 14(10), pages 1-13, September.
    • Handle: RePEc:gam:jadmsc:v:14:y:2024:i:10:p:240-:d:1488496
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