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Unlocking the Potential of HR Analytics in Mexican Organisations: An Analysis of Challenges and Opportunities

In: HRM, Artificial Intelligence and the Future of Work

Author

Listed:
  • Femi S. Olawoyin

    (Sheffield Hallam University)

  • Md Asadul Islam

    (Sunway University)

  • Mutiat Owolewa

    (Birmingham City University)

Abstract

In the fast-paced, technology-dependent world we are now engrossed in, the importance of data cannot be understated. In businesses’ unending quest to gain a competitive edge and optimise efficiency, they have exploited their access to this ‘new oil’ in shaping decision-making strategies and policy formation. Among the most transformative utilisation of data in organisations is Human Resource Analytics (HR analytics). At the core of HR analytics is the understanding that personnel are not uniform assets. Each comprises a unique combination of skills, capabilities, and motivations that require specific cultivation to optimise their contributions to an organisation. As such, HR analytics involves collecting, analysing, and utilising data to inform human resource decisions and better harness the potential inherent in individuals. In Mexico, while the enthusiasm for HR analytics has been increasingly apparent, implementation has been dogged by multifaceted challenges. This chapter investigates the exploration and utilisation of HR analytics in the Mexican context. The chapter explores the current landscape of HR analytics in Mexico, highlighting the unique challenges faced by Mexican businesses and HR professionals. The chapter also discusses the opportunities and benefits of harnessing big data for HR decision-making.

Suggested Citation

  • Femi S. Olawoyin & Md Asadul Islam & Mutiat Owolewa, 2024. "Unlocking the Potential of HR Analytics in Mexican Organisations: An Analysis of Challenges and Opportunities," Springer Books, in: Olatunji David Adekoya & Chima Mordi & Hakeem Adeniyi Ajonbadi (ed.), HRM, Artificial Intelligence and the Future of Work, chapter 0, pages 193-207, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-62369-1_10
    DOI: 10.1007/978-3-031-62369-1_10
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