Digital Government Transformation and Sustainable Development Goals: To What Extent Are They Interconnected? Bibliometric Analysis Results

Anna Sanina, Evgeny Styrin, Eran Vigoda-Gadot, Maria Yudina, Anna Semenova

Research output: Contribution to journalArticlepeer-review

Abstract

The increasing prevalence of digital technologies has sparked interest in the relationship between digital transformation and sustainable development, leading to a surge in theoretical and practical research on this topic. This study conducts a bibliometric analysis of publications in the Web of Science database to examine the extent to which sustainable development goals are integrated into digital government transformation discourses. Using statistical properties of the citation network and the main path approach to identify key publication clusters, the analysis reveals limited research explicitly focusing on the link between digital government transformation and sustainable development goals. Furthermore, articles exploring this interconnection are notably scarce in public administration journals, indicating a significant gap in the literature that requires further investigation.

Original languageEnglish
Article number9761
JournalSustainability (Switzerland)
Volume16
Issue number22
DOIs
StatePublished - Nov 2024

Bibliographical note

Publisher Copyright:
© 2024 by the authors.

Keywords

  • bibliometric studies
  • digital government transformation
  • sustainable development
  • sustainable development goals

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Environmental Science (miscellaneous)
  • Energy Engineering and Power Technology
  • Hardware and Architecture
  • Computer Networks and Communications
  • Management, Monitoring, Policy and Law

Fingerprint

Dive into the research topics of 'Digital Government Transformation and Sustainable Development Goals: To What Extent Are They Interconnected? Bibliometric Analysis Results'. Together they form a unique fingerprint.

Cite this