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Human Resource Analytics: A Hybrid Review

Tulsee Giri Goswami & Mansi

South Asian Journal of Human Resources Management2025https://doi.org/10.1177/23220937251322236review
AJG 1ABDC C
Weight
0.41

What the paper says

Harnessing the power of human resource (HR) analytics revolutionises human resource management, optimises resource allocation, refines recruitment and retention strategies and propels organisational growth to unprecedented heights. This article analyses 121 HR analytics records from the Web of Science, using a hybrid approach, combining bibliometrics (to identify the emerging themes) and systematic review analysis (to find connections between emerging themes using the PRISMA technique). It provides value-adding information through descriptive, keyword, author and network analysis using ‘R’ software and VOSviewer. The article concludes that strategic decision-making is one of the fundamental blocks enabled by technology and analytical abilities, further enhancing performance, strategic management and effectiveness. This review supports HR analytics as a sustainable competitive advantage source. The scientific contribution of this article is to make proper organisational policies for the effective implementation of HR analytics. This article illuminates critical research lacunae and delineates avenues for future scholarly inquiry, enriching the discourse and charting a course for advancing knowledge in the field.

2 citations

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https://doi.org/https://doi.org/10.1177/23220937251322236

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@article{tulsee2025,
  title        = {{Human Resource Analytics: A Hybrid Review}},
  author       = {Tulsee Giri Goswami & Mansi},
  journal      = {South Asian Journal of Human Resources Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/23220937251322236},
}

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.