Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018)

Big Data "Kill Cooked" Management Policy Tool Selection

Authors
Yuxia Zhang, Xiaofang Wang
Corresponding Author
Xiaofang Wang
Available Online December 2018.
DOI
https://doi.org/10.2991/febm-18.2018.97How to use a DOI?
Keywords
Big data; kill cooked; Policy tools
Abstract

Since 2018, big data kill cooked has become the most important public topic in the Internet industry. The practice of big data kill cooked not only deviates from the most basic business ethics and violates the principle of good faith management, but also deprives consumers of the right to know and the right to choose. It seriously damages the legitimate rights and interests of consumers. The most important choice of policy tools for governance is that supervision should be in place, laws should be strengthened, and rigid laws and regulations should be used to severely punish it. Meanwhile, joint efforts should be made to strengthen social supervision, enterprise self-discipline and personal prevention.

Copyright
© 2018, 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 Third International Conference on Economic and Business Management (FEBM 2018)
Series
Advances in Economics, Business and Management Research
Publication Date
December 2018
ISBN
978-94-6252-623-5
ISSN
2352-5428
DOI
https://doi.org/10.2991/febm-18.2018.97How to use a DOI?
Copyright
© 2018, 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  - Yuxia Zhang
AU  - Xiaofang Wang
PY  - 2018/12
DA  - 2018/12
TI  - Big Data "Kill Cooked" Management Policy Tool Selection
BT  - Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018)
PB  - Atlantis Press
SP  - 423
EP  - 425
SN  - 2352-5428
UR  - https://doi.org/10.2991/febm-18.2018.97
DO  - https://doi.org/10.2991/febm-18.2018.97
ID  - Zhang2018/12
ER  -