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Prerna Ahuja, Meenu Gupta, Jinesh Jain, Kiran Sood, Luan Vardari: HR Analytics Research
Landscape (2003–2024): A Systematic, Bibliometric, and Content Analysis

CONCLUSION
HR Analytics is the practice of utilising data-driven insights to improve human
resource management and optimise decision-making, particularly in aspects such as
recruitment, employee performance, employee retention, and compensation structure.
Using an integrated approach that combines systematic review, bibliometric mapping,
and content analysis, the present study examines the evolution of HR analytics
research, its dominant themes, and its growing relevance in the contemporary world.
Beyond mapping the intellectual landscape, this systematic review also identifies
practical implications and proposes some preliminary guidelines for the successful
implementation of HR analytics in different organisational contexts. The study also
emphasised the development of comprehensive ethical frameworks to ensure
responsible and fair use of AI in HR analytics. These frameworks should not only deal
with data governance and privacy concerns but also clearly define responsible
guidelines for the ethical use of analytics in workforce management and development.

CREDIT AUTHOR STATEMENT

Dr. Prerna Ahuja contributed to conceptualisation and data analysis. Ms. Meenu Gupta
was responsible for conceptualisation and writing the original draft. Dr. Jinesh Jain
handled the research methodology. Dr. Kiran Sood contributed through literature
search and writing – review and editing. Dr. Luan was responsible for preparing
figures, tables, graphs, bibliometric maps, and draft refinement.

• FUNDING: This research did not receive any specific grant from funding agencies.

• DECLARATION OF COMPETING INTEREST: The authors declare no conflict
of interest.
• ACKNOWLEDGMENTS: The authors gratefully acknowledge their institution for
providing the support and a conducive environment necessary to carry out this
research.

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