| Issue |
E3S Web Conf.
Volume 218, 2020
2020 International Symposium on Energy, Environmental Science and Engineering (ISEESE 2020)
|
|
|---|---|---|
| Article Number | 01018 | |
| Number of page(s) | 7 | |
| Section | Research on Energy Technology Application and Consumption Structure | |
| DOI | https://doi.org/10.1051/e3sconf/202021801018 | |
| Published online | 11 December 2020 | |
Research on Consumers’ Attitudes towards Online and Offline Shopping
University of Washington. College of arts & science. Seattle. USA. 98105
* Corresponding author:1215657479@qq.com
This paper collects data by means of questionnaire survey and analyzes the data to study consumers’ psychological survey and the relationship between consumer characteristics and online and offline shopping, so as to speculate how to maximize their own interests for online and offline businesses. In the early stage, a wide range of data through questionnaires are used in this research. A total of 300 questionnaires are collected, 282 of which are valid. Excel and Python are used to analyze the relationship between various factors. The relationship between each other is inferred by analyzing the linear relationship and the data distribution. Through analysis, it shows that most people still prefer online shopping, which has become a development trend. Only a minority of consumers over the age of 30 remain enthusiastic about offline shopping. Most of the online products are clothes, cosmetics, skin care products, snacks, etc., while offline products tend to be fresh products, drinks, and clothing, etc. In addition, online shopping has become a trend in the future. Offline merchants should improve consumers’ shopping experience by emphasizing more on the actual consumption experience and feelings brought by shopping and improve other supporting services that can be implemented offline to attract more consumers’ offline shopping.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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