Page 4 - Azerbaijan State University of Economics

THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.82, # 2, 2025, pp. 4-31

HR Analytics Research Landscape (2003–2024): A Systematic,
Bibliometric, and Content Analysis

2
4
1
3
Prerna Ahuja , Meenu Gupta , Jinesh Jain , Kiran Sood , Luan Vardari 5*
(Corresponding author)
1,2,3 Sri Aurobindo College of Commerce and Management, Ludhiana, India
1 ORCID ID: 0000-0002-5757-1862, [email protected]
2 ORCID ID: 0009-0002-9755-8467, [email protected]
3 ORCID ID: 0000-0003-1774-8704 , [email protected]
4 Chitkara Business School, Chitkara University, Punjab, India,
ORCID ID: 0000-0001-6177-5318, [email protected]
5* University “Ukshin Hoti” Prizren, ORCID ID: 0000-0003-3212-5783,
[email protected]

https://doi.org/10.30546/jestp.2025.82.02.2005

Received: June 06; accepted October 30, 2025; published online December 16, 2025

ABSTRACT
Extant literature on HR analytics has explored a range of topics, including the drivers
and barriers to adoption, the applications of analytics in various HR domains, and the
potential benefits that can be derived from the adoption of these practices, yet a
comprehensive understanding of the current state of HR analytics research is essential.
The objective of the current study is to provide a thorough and systematic overview
of the existing body of knowledge in HR analytics. The current study utilises 198
articles published between 2003 and 2024 retrieved from the Scopus database. This
study adopts a three-pronged approach, combining systematic literature review (SLR),
bibliometric analysis, and content analysis to delineate the existing literature in the
domain of HR Analytics. The software R-Studio, Biblioshiny, and VOS viewer have
been used to analyse the studies. The investigations conducted in this context have
explicitly highlighted that by leveraging the power of analytics, HR professionals can
gain a deep understanding of workforce dynamics, predict future trends, and customise
the training and development requirements to align with the specific organisational
goals. At the same time, substantial academic literature exists in this context, such as
data-driven insights to improve human resource management and optimise decision-
making. Several emerging areas remain unexplored, necessitating further empirical
studies to validate the generalizability of previous findings.

Keywords: Bibliometric, Systematic Literature Review, HR Analytics, Workplace
Analytics, Performance Analytics

Jel classification: C55, M12, M15

4