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Unlocking the potential of HR analytics in Mexican organisations: An analysis of challenges and opportunities

  • Femi S. Olawoyin*
  • , Md Asadul Islam
  • , Mutiat Owolewa
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationHRM, Artificial Intelligence and the Future of Work
Subtitle of host publicationInsights from the Global South
PublisherSpringer
Pages193-207
Number of pages15
ISBN (Electronic)9783031623691
ISBN (Print)9783031623684
DOIs
StatePublished - 22 Aug 2024

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • Big data
  • HR analytics
  • Human resources
  • Mexico

ASJC Scopus subject areas

  • General Economics, Econometrics and Finance
  • General Business, Management and Accounting

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