Proceedings of the International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2019)

Collaborative Control of Supply Chain Risk in Big Data Environment

Authors
De-Yi Dai
Corresponding Author
De-Yi Dai
Available Online 17 February 2020.
DOI
10.2991/assehr.k.200207.019How to use a DOI?
Keywords
supply chain, big data, risk, control
Abstract

In the new technology environment, the mode of operation of the supply chain has changed. Big data creates new value for the operation of the supply chain, enhances the efficiency of information transmission in the supply chain, and increases the production profit of the enterprise. This paper analyzes the operation mode of the supply chain in the big data environment and compares it with the traditional supply chain. Based on this, the article analyzes the risk factors of supply chain operation, and expounds the sources of these risk factors, and puts forward the prevention of supply chain prevention risks. This paper has practical significance for the application of big data technology in the supply chain.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
17 February 2020
ISBN
978-94-6252-905-2
ISSN
2352-5398
DOI
10.2991/assehr.k.200207.019How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - De-Yi Dai
PY  - 2020
DA  - 2020/02/17
TI  - Collaborative Control of Supply Chain Risk in Big Data Environment
BT  - Proceedings of the International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2019)
PB  - Atlantis Press
SP  - 120
EP  - 123
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200207.019
DO  - 10.2991/assehr.k.200207.019
ID  - Dai2020
ER  -