Bibliometric research on business data analysis based on knowledge graph
With the development of big data technology, data plays a significant role in assisting business decisions and maximizing business value and benefits. In recent years, there have been numerous academic discussions on business data analysis, with scholars researching from different perspectives on how to analyze and mine data in the business field and how to make business data serve businesses. This paper collects literature on business data analysis from the CNKI database, including publications from the PKU core, CSSCI, and CSCD journals from 2013 to 2023. The CiteSpace literature visualization software is employed to conduct descriptive statistical analysis, research hotspot analysis, and research frontier analysis of the research achievements in this field. The results indicate that the research hotspots in this field can be categorized into three main themes: business data profitability and performance analysis, business data mining and intelligent transformation of business models, and business data risk analysis and security protection. Future research should focus on exploring the theme of business data sharing under the backdrop of the digital economy.
Authors
- Jiajun Hou (ORCID: https://orcid.org/0009-0001-7802-0904)
- Jiangping Wan (ORCID: https://orcid.org/0000-0002-4367-7578)
Institutions
- City University of Macau (MO)
- South China University of Technology (CN)
Publication Details
- Published
- 2024-09-14
- DOI
- https://doi.org/10.1145/3697355.3697403
- Primary Topic
- Knowledge Management and Sharing
- Type
- article
- Field-Weighted Citation Impact
- 0.00