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Related Experiment Video

Updated: Aug 5, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
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Exploring the Evolution of Human Resource Analytics: A Bibliometric Study.

Eithel F Bonilla-Chaves1, Pedro R Palos-Sánchez2

  • 1School of Business Administration, Technological Institute of Costa Rica, Cartago 30109, Costa Rica.

Behavioral Sciences (Basel, Switzerland)
|March 28, 2023
PubMed
Summary
This summary is machine-generated.

This study analyzes HR analytics research from 2008-2022, revealing key topics and trends. It highlights how human resources analytics transforms traditional practices for better organizational performance.

Keywords:
HR analyticsbibliometric analysisbibliometrixmanagement and organisational behaviourpeople analyticsstrategic HRM practices

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Area of Science:

  • Business and Management
  • Information Systems
  • Data Science

Background:

  • Human Resources (HR) analytics is an emerging field.
  • It offers transformative potential for traditional HR practices.
  • Understanding its intellectual and social structure is crucial for knowledge expansion.

Purpose of the Study:

  • To identify and analyze key scientific work in HR analytics.
  • To understand the conceptual, intellectual, and social evolution of HR analytics.
  • To guide the expansion of empirical and conceptual knowledge in the field.

Main Methods:

  • Bibliometric analysis was conducted using Bibliometrix and Biblioshiny.
  • Data was sourced from academic articles indexed in Scopus and Web of Science (WoS).
  • A total of 218 relevant articles published between 2008 and 2022 were analyzed.

Main Results:

  • Identified notable topics and trends within HR analytics research.
  • Provided a quantitative overview of the field, including main performance indicators.
  • Presented findings through tables, graphs, and maps for clarity.

Conclusions:

  • HR analytics is a novel and adaptive area with significant potential.
  • It enables the transformation of HR strategies and enhances organizational performance.
  • Technology-driven HR analytics improves employee experiences and strategic decision-making.