Exploring the Digital Transformation of HR: Insights from a Bibliometric Analysis

Abstract: This study conducts a comprehensive bibliometric investigation into the scholarly literature on Human Resource (HR) digitalization, with the aim of outlining the most recent advances in the domain. Drawing on a dataset of 774 articles published between 2010 and 2024, it applies bibliometric techniques, particularly through the VOSviewer software, to trace research trajectories and pinpoint core thematic areas. The analysis enhances the overall understanding of how digital transformation is shaping HR management while also shedding light on the challenges and opportunities it introduces for organizations. Findings indicate a consistent rise in academic output, particularly around themes such as artificial intelligence, big data, and digital HR platforms. The study further uncovers collaborative patterns among leading authors and institutions and identifies promising directions for future inquiry in this fast-developing research field. In addition to its descriptive contribution, the article advances theory by distinguishing the main conceptual streams that underpin HR digitalization research, exposing insufficiently explored topics, and suggesting an analytical framework to examine how digitalization influences HR practices and organizational performance. Collectively, these insights not only strengthen comprehension of the impact of digital transformation on HR but also provide valuable theoretical orientations to support future academic endeavors and practical decision-making. Keywords: HR digitalization, Human Resources Management, Digital transformation, Bibliometric analysis, Research trends.Classification JEL: M12, M15, O33.Paper type: Theoretical Research.

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Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-09-18
DOI
https://doi.org/10.5281/zenodo.17148651
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring the Digital Transformation of HR: Insights from a Bibliometric Analysis

SPIRE - Sciences Po Institutional REpository
Geochemistry and Geologic Mapping
article

Exploring the Digital Transformation of HR: Insights from a Bibliometric Analysis

article en

Abstract

Abstract: This study conducts a comprehensive bibliometric investigation into the scholarly literature on Human Resource (HR) digitalization, with the aim of outlining the most recent advances in the domain. Drawing on a dataset of 774 articles published between 2010 and 2024, it applies bibliometric techniques, particularly through the VOSviewer software, to trace research trajectories and pinpoint core thematic areas. The analysis enhances the overall understanding of how digital transformation is shaping HR management while also shedding light on the challenges and opportunities it introduces for organizations. Findings indicate a consistent rise in academic output, particularly around themes such as artificial intelligence, big data, and digital HR platforms. The study further uncovers collaborative patterns among leading authors and institutions and identifies promising directions for future inquiry in this fast-developing research field. In addition to its descriptive contribution, the article advances theory by distinguishing the main conceptual streams that underpin HR digitalization research, exposing insufficiently explored topics, and suggesting an analytical framework to examine how digitalization influences HR practices and organizational performance. Collectively, these insights not only strengthen comprehension of the impact of digital transformation on HR but also provide valuable theoretical orientations to support future academic endeavors and practical decision-making. Keywords: HR digitalization, Human Resources Management, Digital transformation, Bibliometric analysis, Research trends.Classification JEL: M12, M15, O33.Paper type: Theoretical Research.

SPIRE - Sciences Po Institutional REpository
Université Sultan Moulay Slimane (MA)
Openalex Percentile: Top 37%
Geochemistry and Geologic Mapping
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