Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)

Application and Research of Big Data in E-Commerce Enterprises.Amazon as the Case

Authors
Yujie Chen
Corresponding Author
Yujie Chen
Available Online February 2017.
DOI
10.2991/emcm-16.2017.251How to use a DOI?
Keywords
Component; Big data; Application; Electronic commerce enterprise; Case analysis
Abstract

With the change of people's living habit and consumption concept, the demand of highly personalized products and accurate products is increasing. This condition has a huge impact on the enterprise which cannot adapt to the transformations in the Big Data Era. This paper based on the supply chain which analyzes the electric commercial enterprises, Amazon, provides the recommendation about big date applications to other enterprises by using case evidence. We hope that other firms are able to absorb the experience, to promote the development of their enterprises and the economic progression in Big Data Era.

Copyright
© 2017, 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 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
Series
Advances in Computer Science Research
Publication Date
February 2017
ISBN
978-94-6252-297-8
ISSN
2352-538X
DOI
10.2991/emcm-16.2017.251How to use a DOI?
Copyright
© 2017, 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  - Yujie Chen
PY  - 2017/02
DA  - 2017/02
TI  - Application and Research of Big Data in E-Commerce Enterprises.Amazon as the Case
BT  - Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
PB  - Atlantis Press
SP  - 481
EP  - 487
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-16.2017.251
DO  - 10.2991/emcm-16.2017.251
ID  - Chen2017/02
ER  -