Domestic Enterprise Digital Transformation Field Bibliometric Research — Based on CiteSpace Visualization Analysis
- DOI
- 10.2991/978-94-6463-638-3_57How to use a DOI?
- Keywords
- Enterprise Digital Transformation; Research Trends; Research Progress; CiteSpace
- Abstract
The rapid development of information technology has transformed society. The continuous development of digital transformation has become an important characteristic of the global economic system, This paper uses bibliometric research methods and the visualization literature analysis tool CiteSpace to analyze the literature on enterprise digital transformation in the China National Knowledge Infrastructure (CNKI) and Web of Science collections, systematically sorting out the research hotspots, frontiers, and development laws in this field from the aspects of literature annual distribution, keyword analysis, and keyword clustering analysis. The study found that there is no high-productivity author group formed yet, institutional cooperation is relatively rare, led by colleges and universities, and research institutions are geographically dispersed; keywords mainly include digital economy, financing constraints, enterprise innovation, as well as small and medium-sized enterprises, and digital-related content.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Chunlan Li AU - Minghui Jiang PY - 2024 DA - 2024/12/30 TI - Domestic Enterprise Digital Transformation Field Bibliometric Research — Based on CiteSpace Visualization Analysis BT - Proceedings of the 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024) PB - Atlantis Press SP - 574 EP - 582 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-638-3_57 DO - 10.2991/978-94-6463-638-3_57 ID - Li2024 ER -