Current research hotspots and frontiers in cross-border e-commerce ——Based on CiteSpace visual knowledge graph data analysis
- DOI
- 10.2991/978-94-6463-102-9_52How to use a DOI?
- Keywords
- Cross-border e-commerce; Visual analysis; Research hotspots
- Abstract
The emergence and outbreak of the new corona-virus directly aggravated the turbulence of world trade, and had a huge impact on the global economic development for a long time. Therefore, modern advanced science and technologies such as block-chain technology, artificial intelligence, digital economy, and cloud computing have begun to participate in the development and progress of cross-border e-commerce more and more frequently. In this context, the healthy development of the cross-border e-commerce industry is not only of great benefit to my country's recovery of stable import and export trade, but also of great practical significance to the gradual development of international trade. This paper uses CiteSpace to analyze the data of 401 cross-border e-commerce related documents on CNKI, and draws relevant keyword tables and maps. It focuses on the current research hotspots and frontiers in the field of cross-border e-commerce. E-commerce scholars carry out research and exchange and cooperation to provide certain help and reference.
- Copyright
- © 2023 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 - Xuan Zhang PY - 2022 DA - 2022/12/29 TI - Current research hotspots and frontiers in cross-border e-commerce ——Based on CiteSpace visual knowledge graph data analysis BT - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022) PB - Atlantis Press SP - 494 EP - 501 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-102-9_52 DO - 10.2991/978-94-6463-102-9_52 ID - Zhang2022 ER -