Mapping the Intellectual Landscape of Employee Performance Research: A Bibliometric and Mapping Analysis (2020-2025)

  • 0Brawijaya University, Malang, East Java, Indonesia.

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Summary

This summary is machine-generated.

This study maps employee performance research from 2020-2025, revealing a shift towards digital leadership and well-being. Key themes and influential studies were identified using bibliometric analysis.

Area Of Science

  • Business and Management
  • Organizational Psychology
  • Information Science

Background

  • Organizational complexity and post-pandemic work dynamics necessitate understanding employee performance research evolution.
  • Bibliometric mapping provides crucial insights into thematic development and knowledge advancement in this field.

Purpose Of The Study

  • To identify research trends and map the academic structure of employee performance studies over the past five years (2020-2025).
  • To understand the evolution of themes, identify key literature contributions, and explore future research directions.

Main Methods

  • A bibliometric analysis of 2,044 articles from the Scopus database (2020-2025) using PRISMA 2020 guidelines.
  • Science mapping techniques with Bibliometrix R and VOSviewer, including performance analysis and network visualization.
  • Analysis of trending topics, word clouds, highly cited documents, and thematic clusters.

Main Results

  • Research trends are shifting from general topics to contemporary themes like digital leadership, work well-being, and organizational adaptation.
  • Seven primary research clusters were identified, reflecting structural, psychological, and contextual dimensions.
  • Highly cited articles often stem from practical, cross-sectoral studies, highlighting their significant contributions.

Conclusions

  • The study provides a novel mapping of employee performance research trends and intellectual structure for the post-pandemic era.
  • Emerging themes and influential publications were identified through trending topic and normalized citation analysis, offering valuable insights for researchers.

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