Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

The Demand Analysis of Green Food in E-commerce

Authors
SaiShuo Zheng
Corresponding Author
SaiShuo Zheng
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.64How to use a DOI?
Keywords
green food, demand analysis, SPSS, E-commerce, data analysis.
Abstract

Although green food have many benefits and have got many achievements, green food penetration and consumer awareness in China is not enough, and the E-commerce marketing strategy is not perfect at the same time. On the basis of these problems, this paper investigate customers' demand motivation through a questionnaire, including price, logistics, quality, safety, taste, experience new products, quality, environmental protection, consumer recommendations, customer service, service level, service attitude and business credit to analysis their relationship and what motivation is the most decisional by cross tabulation, correlation analysis, cluster analysis and factor analysis. After that, this paper provides some marketing strategies and E-commerce advice.

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 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.64
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.64How 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  - SaiShuo Zheng
PY  - 2017/04
DA  - 2017/04
TI  - The Demand Analysis of Green Food in E-commerce
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 309
EP  - 312
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.64
DO  - 10.2991/icmmct-17.2017.64
ID  - Zheng2017/04
ER  -