Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

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A Scientometric Analysis: The Application of Big Data in the Enterprise Supply Chain

Authors
Chung-lien Pan1, Yongzhen Yan1, *, Nuanjia Wang1, Lingyan Guo1, Xinxin Liu1
1Guangzhou Nanfang College, School of Accounting, Guangzhou, China
*Corresponding author. Email: 610778675@qq.com
Corresponding Author
Yongzhen Yan
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_69How to use a DOI?
Keywords
Big data; supply chain; enterprise
Abstract

Using big data analytics to deliver services to businesses is becoming increasingly popular among professionals. At the same time, the application in the supply chain is very important for practitioners. As a part of enterprises, the supply chain plays an important role in enterprises. Although many domestic and foreign researchers mainly discuss the impact of big data and supply chain on the internal environment, external environment, and the whole enterprise, few researchers have linked big data with the enterprise supply chain. Based on the 140 articles retrieved by Web of Science, this paper gives a systematic review, which provides directions for the application research of supply chain in the future, and makes up the research gap. Research papers published between 1989 and 2021 were grouped according to their source and year of publication. The results showed that in recent years, the research fields involve finance, business, management, and other disciplines. In addition, Chinese and U.S. institutions are more prominent in the field of research. In addition, big data and different keywords show important interactions in visualizations: (a) research based on big data, (b) big data and enterprise models, (c) big data and supply chains, and (d) big data and design.

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.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-064-0_69
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_69How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Chung-lien Pan
AU  - Yongzhen Yan
AU  - Nuanjia Wang
AU  - Lingyan Guo
AU  - Xinxin Liu
PY  - 2022
DA  - 2022/12/27
TI  - A Scientometric Analysis: The Application of Big Data in the Enterprise Supply Chain
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 674
EP  - 682
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_69
DO  - 10.2991/978-94-6463-064-0_69
ID  - Pan2022
ER  -