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Innovating for the Future: AI and HRM Capabilities for Sustainability in Higher Education

Author

Listed:
  • Tricia Cleland Silva

    (Helsinki Metropolia University of Applied Sciences)

  • Mika Hämäläinen

    (Helsinki Metropolia University of Applied Sciences)

Abstract

This paper investigates the intersection of sustainability strategies and artificial intelligence (AI) in Human Resource Management (HRM) with a Finnish University of Applied Sciences as its case study. Drawing from a multi-level framework, the paper explores and discusses the interplay of barriers and drivers shaping sustainability practices in teaching and the potential of leveraging AI for consistent messaging and accountability to the organizational goals. The historical evolution of AI in HRM is presented with an emphasis on the need for strategic frameworks. The research design uses a cross-disciplinary approach, focusing on case study analyses within the educational context. Preliminary findings reveal a gap in translating institutional and strategic sustainability capabilities into operational practices, prompting the introduction of AI plugins for enhanced accountability and transparency in the digital learning platform. The study concludes with recommendations for future research, emphasizing the potential of AI in HRM system and practices to drive sustainability in higher education.

Suggested Citation

  • Tricia Cleland Silva & Mika Hämäläinen, 2024. "Innovating for the Future: AI and HRM Capabilities for Sustainability in Higher Education," Post-Print hal-04665987, HAL.
    • Handle: RePEc:hal:journl:hal-04665987
    DOI: 10.5465/AMPROC.2024.19249abstract
    Note: View the original document on HAL open archive server: https://hal.science/hal-04665987
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    References listed on IDEAS

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    3. Sidney G. Winter, 2003. "Understanding dynamic capabilities," Strategic Management Journal, Wiley Blackwell, vol. 24(10), pages 991-995, October.
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