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Digital transformation in human resource management: what we know and where we are heading

Shefali Srivastava

Journal of Information Communication and Ethics in Society2026https://doi.org/10.1108/jices-07-2025-0181article
ABDC B
Weight
0.50

Abstract

Purpose Recent years have shown the increasing relevance of digital transformation, specifically in the human resource management (HRM) realm. The purpose of this study is to systematically review and evaluate the past progression and current state of affairs of digital transformation in the HRM domain. Design/methodology/approach To achieve study’s objective, the author analyzed the research corpus in this field using Bibliometric techniques. For this research, the author has retrieved a set of 195 research documents from Scopus and analyzed the Bibliometric metadata of these papers using Bibliometric analysis such as performance analysis and knowledge mapping. Findings This analysis suggests top performing constituencies of the present research field, that is, top authors, most influential journals, most influential individual research document, keyword trend topic, word frequency over time and intellectual and conceptual structure. In addition, the annual publication trend and description of this research field are presented as well. Originality/value This paper is an early effort that contributes to the research and practice of digital transformation in the HRM research field. This paper systematically evaluates and structures the extant knowledge in this field and offers a comprehensive understanding of what is known.

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https://doi.org/https://doi.org/10.1108/jices-07-2025-0181

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@article{shefali2026,
  title        = {{Digital transformation in human resource management: what we know and where we are heading}},
  author       = {Shefali Srivastava},
  journal      = {Journal of Information Communication and Ethics in Society},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/jices-07-2025-0181},
}

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Digital transformation in human resource management: what we know and where we are heading

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Evidence weight

0.50

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

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
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.