Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)

Analysis of Product Competitive Factors in Agricultural B2C Platform Based on Factor Analysis

Authors
Zhangyuan Xiong, Hongzhi Yu, Lulu Liu, Fucheng Wan
Corresponding Author
Zhangyuan Xiong
Available Online November 2016.
DOI
10.2991/icmia-16.2016.89How to use a DOI?
Keywords
factor analysis; products competitive factors; B2C; evaluation mode.
Abstract

Based on factor analysis, this paper study on the current product competitive factors in agricultural B2C platform. By analyzing the data that is the sales of commodities, price, number of popular, shop credit rating, and evaluation of commodity, and explore the factors of commodity competitiveness, then get commodity competitiveness evaluation model. On one hand, the research results can provide a basis decision for settled sellers in e-commerce platform to improve the competitiveness of their products. On the other hand, the results based on product competitiveness rankings can recommend valuable products to the buyers, the substance is providing recommended service.

Copyright
© 2016, 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 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
10.2991/icmia-16.2016.89
ISSN
1951-6851
DOI
10.2991/icmia-16.2016.89How to use a DOI?
Copyright
© 2016, 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  - Zhangyuan Xiong
AU  - Hongzhi Yu
AU  - Lulu Liu
AU  - Fucheng Wan
PY  - 2016/11
DA  - 2016/11
TI  - Analysis of Product Competitive Factors in Agricultural B2C Platform Based on Factor Analysis
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.89
DO  - 10.2991/icmia-16.2016.89
ID  - Xiong2016/11
ER  -