| Issue |
SHS Web Conf.
Volume 163, 2023
2023 8th International Conference on Social Sciences and Economic Development (ICSSED 2023)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 4 | |
| Section | Marketing and Organizational Behavior Management | |
| DOI | https://doi.org/10.1051/shsconf/202316302002 | |
| Published online | 28 April 2023 | |
Business marketing analysis of agricultural products on online platforms based on big data
Southwestern University of Finance and Econom-ics, Chengdu, Szechwan, 610000, China
* Corresponding author: 2972389961@qq.com
In recent years, online platform shopping has gradually become a mainstream shopping method for the public. And with the continuous development of China’s poverty alleviation cause in rural areas, marketing of agricultural products has al-so been added to online marketing, but in the process of development, various unsuitable situations have emerged, and data cannot be combined with products, resulting in the further development of agricultural products in this marketing mode has been restricted. Nowadays has entered the big data era and the market-ing of big data has appeared in many industries. This paper, through a systematic review of domestic and foreign literature, uncovers a basic framework of big data for agricultural products in online platform marketing, explaining the basic defini-tion and characteristics of big data, and elaborating the application. Although there is logistic regression model to truly realize big data in agricultural products online platform. The application of big data in agricultural products online plat-form marketing is explained.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/).
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