LAUSR

With the continuous development of e-commerce technology, the online shopping volume of Chinese consumers has been increasing year by year,which will rapid development in the future. The emergence of B2C platform allows consumers to exchange shopping information online, which making shopping easier. Online reviews belong to an online sales tool, which influences the shopping behavior of consumers by commenting content, and becomes the main influence means of online shopping. This paper based on the B2C platform technology; take the online review content of Jingdong Mall in 2017 as data, which in order to study the relationship between shopping behavior and online review through classification, sorting and assignment. We based on the conceptual model to propose six research hypotheses, and conduct questionnaires and interviews. The 200 questionnaires were distributed, and 192 valid questionnaires were obtained, the overall effective rate is 82%. The results show that economic-related comments, service-related comments have a significant impact on the online shopping behavior.