Big Data-enabled Price Discrimination in China: Tmall, Ctrip and Meituan

Abstract

In the era of rapid development of science and technology, big data has been used more frequently in order to make daily life more convenient and faster, and the big data-enabled price discrimination has gradually surfaced. This study is committed to studying the impact of big data on people and solutions through case analysis. This study found that more than 80% of consumers believe that big data has become very common in all areas of life. This study elaborated on big data killing and its causes, analyzed the frequent phenomenon of big data-enabled price discrimination on online shopping platforms, online travel platforms and delivery platforms in detail, and found many common points, such as membership system and consumption preference. The purpose of this study is to try to find the blind spots and propose solutions by analyzing the above cases. This study suggests that consumers should pay more attention to their rights and interests and improve their positive attitude towards safeguarding their rights. Enterprises can restructure the internal discipline, clarify the relevant laws and regulations; The government can improve relevant laws and regulations and revise some ambiguous definitions to strengthen law enforcement.