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This paper provides a comprehensive review of the literature on the use of HR analytics in decision-making, highlighting its evolution, applications, and challenges. By analyzing 125 articles from the Scopus database, the study explores the theoretical foundations and practical implementations of HR analytics across various HR functions, including talent acquisition, performance management, and employee retention. The findings underscore the significant impact of HR analytics on enhancing organizational performance through data-driven insights. However, the study also identifies barriers to adoption, such as skill gaps, data quality issues, and privacy concerns. Future research directions include integrating AI and machine learning to enhance predictive capabilities and understanding cultural influences on HR analytics adoption. This review aims to bridge the gap between theory and practice, offering valuable insights for HR professionals, policymakers, and researchers to leverage HR analytics for strategic decision-making and competitive advantage.
"A Review of Literature on use of HR Analytics in Decision-Making", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 10, page no.362 - 371, October-2023, Available :http://www.ijrti.org/papers/IJRTI2310151.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator