Analysis of Consumer Behavior under B2c e-Commerce Model
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DOI: 10.23977/ieesasm.2019.627
Author(s)
Yanxia Zhang, Xiang Gao
Corresponding Author
Yanxia Zhang
ABSTRACT
With the rapid development of the internet in china, the number of internet users is increasing, and the bottlenecks restricting the development of e-commerce such as logistics distribution, online payment, network technology, and security guarantees have been continuously improved, and online shopping has also increased to a certain extent. Especially during the sars period in 2003, the advantages of e-commerce were further highlighted. At the critical moment of the internet e-commerce bubble, internet e-commerce has been recognized by all walks of life. Now Chinese enterprises have recognized the importance of e-commerce, and large and medium-sized enterprises have gone online to find a business model suitable for their own business. B2b and b2c websites have sprung up throughout the internet, but problems have followed. In the face of numerous websites and huge amounts of information, how can online companies attract the attention of online users and make them visit corporate websites has become a top priority for corporate survival and development. This thesis focuses on the problems existing in the implementation of b2c companies on the internet in china, analyzes the behavior of online users, classifies the online users, and uses mathematical methods to analyze the current online shopping risks and elaborates “attention “economy” is a hot topic today, and a break-even point method is used to make a preliminary discussion on the minimum number of people who should be online. How can b2c companies attract the attention of internet users, and increase the stickiness of corporate websites to internet users, and have a theoretical discussion.
KEYWORDS
Consumer Behavior, B2c e-Commerce Model, Internet