Abstract
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.
Highlights
IntroductionTheir research sample shows that women are more likely than men to buy clothing online, while men are more likely than women to buy electronics and computer products online
It is mentioned that consumers' online and offline shopping preferences vary with different products, consumers and stages of shopping experience
Their research sample shows that women are more likely than men to buy clothing online, while men are more likely than women to buy electronics and computer products online. Those who study individual differences in online shopping preferences need to consider that these may have different effects on different products, and for those who study product differences. Their subjects are more computer-literate and internet-savvy than the average consumer, so the absolute number of online shopping preferences may be higher than the average consumer
Summary
Their research sample shows that women are more likely than men to buy clothing online, while men are more likely than women to buy electronics and computer products online. Those who study individual differences in online shopping preferences need to consider that these may have different effects on different products, and for those who study product differences. Their subjects are more computer-literate and internet-savvy than the average consumer, so the absolute number of online shopping preferences may be higher than the average consumer. Consumers are more inclined to purchase geometric products online than physical products.[4]
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