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Tracing the Evolution of E-Government: A Visual Bibliometric Analysis from 2000 to 2023

Author

Listed:
  • Yifan Song

    (Graduate School of Technology Management, Ritsumeikan University, Osaka 567-8570, Japan)

  • Takashi Natori

    (Graduate School of Technology Management, Ritsumeikan University, Osaka 567-8570, Japan)

  • Xintao Yu

    (School of Economics and Management, Liaoning University of Technology, Jinzhou 121004, China)

Abstract

In the continuously evolving field of E-government, understanding the breadth and depth of academic research is crucial for advancing governmental digital transformation and policy development. This study employs visual bibliometric analysis, using the Web of Science database to map the evolution trajectory of E-government research from 2000 to 2023. By utilizing CiteSpace for a comprehensive examination of 4536 academic articles, this paper outlines the growth patterns and thematic evolution within the field. The development of the E-government field is delineated into four distinct phases: the budding period (2000–2003), the bottleneck period (2004–2014), the development period (2015–2018), and the growth period (2019–2023), which are each marked by unique thematic shifts and technological advancements. The research results reveal the transformation of research focus in different periods, from the initial focus on the technological means and the electronic transformation of government services, moving on to more complex issues such as E-government acceptance and government transparency and corruption, and ultimately to the current focus on innovation and smart cities. In addition, the paper also clarifies that the research boom that began in 2019 is driven by technological innovation opportunities, the improvement in infrastructure, and multidisciplinary research. By depicting these developmental stages and emerging trends, this study not only unveils past academic efforts but also forecasts future research directions, thereby providing valuable insights for researchers and policymakers aiming to understand and implement effective E-government strategies.

Suggested Citation

  • Yifan Song & Takashi Natori & Xintao Yu, 2024. "Tracing the Evolution of E-Government: A Visual Bibliometric Analysis from 2000 to 2023," Administrative Sciences, MDPI, vol. 14(7), pages 1-25, June.
    • Handle: RePEc:gam:jadmsc:v:14:y:2024:i:7:p:133-:d:1420850
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    References listed on IDEAS

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    1. Yi Cui & Jian Mou & Yanping Liu, 2018. "Knowledge mapping of social commerce research: a visual analysis using CiteSpace," Electronic Commerce Research, Springer, vol. 18(4), pages 837-868, December.
    2. Naveed Naeem Abbas & Tanveer Ahmed & Syed Habib Ullah Shah & Muhammad Omar & Han Woo Park, 2019. "Investigating the applications of artificial intelligence in cyber security," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1189-1211, November.
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