The Impact of Big Data on Sustainable Supply Chains: Visualized Analysis Based on Bibliometrics
- DOI
- 10.2991/978-94-6463-308-5_29How to use a DOI?
- Keywords
- Big data; supply chain; sustainability; bibliometrics; blockchain
- Abstract
This article aims to visually analyze 460 articles related to big data and sustainable supply chain in the Web of Science core database based on the Bibliometrix bibliometric package. Annual trends, major countries, authors and sources, conceptual structure factor analysis, and thematic maps were analyzed using qualitative analysis and visual network analysis. The study found that the field is developing rapidly, and China is the main research country. Multidisciplinary research is reflected in a wide range of literature sources. Topics such as green innovation, competitive advantage and green technology provide theoretical support for sustainable supply chain management. The research also analyzes the clustering field of different dimensions, and identifies the current hot topics and future research directions. At present, there is relatively little literature review on the visualization of big data and sustainable supply chain. These research results are conducive to filling this gap and have important reference value for understanding the development trends in the field of big data and sustainable supply chain and guiding future research.
- 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 - Lanlin Ni AU - Yuxin He AU - Shangpin Zeng AU - Shuyi Huang PY - 2023 DA - 2023/12/11 TI - The Impact of Big Data on Sustainable Supply Chains: Visualized Analysis Based on Bibliometrics BT - Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023) PB - Atlantis Press SP - 273 EP - 281 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-308-5_29 DO - 10.2991/978-94-6463-308-5_29 ID - Ni2023 ER -