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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

RESEARCH METHODOLOGY
To systematically review the papers, a three-tier analysis with Systematic literature
review (SLR), Bibliometric analysis, and content analysis has been used to observe
contemporary views and significant gaps in the area of HR analytics. Initially, an SLR
was conducted by defining the search terms and establishing the inclusion and
exclusion criteria.

It provides a structural base for further analysing the studies of a particular research
domain [Tranfield D, Denyer D, Smart P. 2003]. Furthermore, bibliometric analysis
offers a comprehensive view of the current and future directions within the same
domain [Li C, Wu K, Wu J. 2017]. Bibliometric analysis captures key metrics,
including authorship, publication sources, geographic distribution, keywords, and
citation trends [Thanuskodi S. 2011]. This evaluative technique is the best suited for
establishing intellectual constructs of a research area. The software utilised for the
current study is R-Studio and VOSviewer.

Content analysis is a popular research method that enables scholars to examine the past and
future growth of scientific work [Di Stefano G, Peteraf M, Verona G.,2010; Fatma, F. 2024].
Content analysis is a qualitative method that researchers utilise for extracting the insights of
a study and its objectives [Williamson I, Leeming D, Lyttle S, Johnson S., 2015].

Database, Keywords and Inclusion Criteria
The literature search in this paper focuses on research conducted in the field of HR
analytics. The study's sample spans the period from 2003 to 2024. The current study uses
the Scopus database for data collection and screening of the peer-reviewed journal articles.
Scopus is one of the best encyclopedic databases for retrieving literature on topics covered
in the social sciences. Scopus is widely used for bibliometric analysis due to its
comprehensive coverage of peer-reviewed literature [Ferreira MP, Santos JC, De Almeida
MIR, Reis NR. 2014]. It was preferred over the other databases, such as Web of Science
and Google Scholar, because it is the largest database of abstract and citation data of more
than 20,000 peer-reviewed articles by renowned publishers such as Wiley, Inderscience,
Emerald, Springer, Sage, Taylor and Francis, Elsevier [Bhattacharjee DR, Pradhan D,
Swani K. 2021]. Moreover, it does not include predatory articles as included in Google
Scholar and is more diverse in comparison to Web of Science [Paul J, Lim WM, O’Cass
A, Hao AW, Bresciani S. 2021]. To eliminate uncertainty about the non-inclusion of some
research while undergoing systematic research, three stages were used: database
searching, abstract scrutiny, reference and citation checking [Eduardsen J, Marinova S.
2020; Gebreselassie, A. M. 2022].

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