Digital Transformation: A Bibliometric Analysis

Lin Shi, Yingping Mai, Yenchun Jim Wu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

This paper aims to provide an overview of academic research within the field of digital transformation. The authors conduct a bibliometric analysis using VOSviewer, Harzing’s Publish or Perish, and SciMAT to evaluate and visualize the bibliographic materials. The analysis focuses on journals, papers, researchers, institutions, and countries, using bibliometric indicators such as productivity, citations, H-index values, and TLS values. Graphical analyses illustrate co-authorship, co-occurrence of keywords, evolution of research topics, and network of influential researchers within digital transformation. The results complement each other and show that Germany, the United States, and the Russian Federation are the most influential countries in digital transformation research. Additionally, the results suggest that collaboration within this field is still weak, and many research topics are just beginning to emerge. This research provides a summary of most of the key aspects in digital transformation research and helps lay the groundwork to shape the future of this growing field.

Original languageEnglish
Article number302637
JournalJournal of Organizational and End User Computing
Volume34
Issue number7
DOIs
Publication statusPublished - 2022

Keywords

  • Bibliometric Analysis
  • Bibliometric Mapping
  • Bibliometrics
  • Digital Transformation
  • H-Index
  • Harzing’s Publish or Perish
  • Literature Review
  • SciMAT
  • VOSviewer

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Science Applications
  • Strategy and Management

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