Mapping the intellectual structure of HR analytics and sustainability performance - A bibliometric analysis using the Dimensions database

The study explores the intellectual composition and thematic development of research on HR Analytics and Sustainability Performance. HR analytics has become a strategic enabler for data-driven workforce management that contributes to environmental, social, and governance (ESG) outcomes. Although research interest has increased, the intellectual composition of this research domain remains fragmented. This study has adopted a bibliometric approach based on peer-reviewed publications from the Dimensions database covering the period 2017–2026. It has explored publication trends through the application of Microsoft Excel and VOSviewer tools for citation, co-author, bibliographic coupling, and co-occurrence breakdown. The research has identified a significant increase in publication output after 2020, indicating the growing scholarly attention to the intersection of HR analytics, ESG integration, and organizational performance. HR analytics has also been identified as a research theme that integrates technological innovation and sustainability performance. The results also identify influential authors, emerging thematic clusters and strong thematic linkages between HR analytics, ESG integration, digital transformation and organizational performance. The study contributes by consolidating dispersed research streams and positioning HR analytics as a strategic capability that supports sustainable organizational performance.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-04-10
DOI
https://doi.org/10.1051/shsconf/202623005001/pdf
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Mapping the intellectual structure of HR analytics and sustainability performance - A bibliometric analysis using the Dimensions database

Arati S. Bhokare, P.M. Kulkarni, Snehkant S. Thanekar, Helena Hakweenda et al.
Springer Link (Chiba Institute of Technology)
AI and HR Technologies
article

Mapping the intellectual structure of HR analytics and sustainability performance - A bibliometric analysis using the Dimensions database

Arati S. Bhokare, P.M. Kulkarni, Snehkant S. Thanekar, Helena Hakweenda, Hitesh S. Dayma
article en

Abstract

The study explores the intellectual composition and thematic development of research on HR Analytics and Sustainability Performance. HR analytics has become a strategic enabler for data-driven workforce management that contributes to environmental, social, and governance (ESG) outcomes. Although research interest has increased, the intellectual composition of this research domain remains fragmented. This study has adopted a bibliometric approach based on peer-reviewed publications from the Dimensions database covering the period 2017–2026. It has explored publication trends through the application of Microsoft Excel and VOSviewer tools for citation, co-author, bibliographic coupling, and co-occurrence breakdown. The research has identified a significant increase in publication output after 2020, indicating the growing scholarly attention to the intersection of HR analytics, ESG integration, and organizational performance. HR analytics has also been identified as a research theme that integrates technological innovation and sustainability performance. The results also identify influential authors, emerging thematic clusters and strong thematic linkages between HR analytics, ESG integration, digital transformation and organizational performance. The study contributes by consolidating dispersed research streams and positioning HR analytics as a strategic capability that supports sustainable organizational performance.

Springer Link (Chiba Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 16%
AI and HR Technologies
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