Classic Case Study of Price Discrimination in the Age of Big Data

Abstract

The popularization and development of big data in the age of the Internet have enabled merchants to implement price discrimination through personalized pricing strategies based on consumers' personal information and behavioral data. This paper presents a classic case study of price discrimination in the era of big data, focusing on examples from the travel industry, internet shopping, and e-commerce platforms. The case study highlights the social unfairness caused by price discrimination, as it leads to different prices for the same goods among different groups of consumers, violating the principle of fair trade. It also points out the information asymmetry between consumers and merchants, where consumers may find it difficult to determine if they are being discriminated against in pricing. Additionally, the study examines the implications of price discrimination on consumer rights and interests, emphasizing the need for fair and reasonable prices for consumers. The legal and ethical issues surrounding the use of personal information in price discrimination are also addressed. The paper suggests that government regulation, especially through antitrust laws, plays a crucial role in addressing price discrimination. It emphasizes the importance of strengthening regulatory review, increasing penalties, and focusing on a level playing field to promote fair competition and protect consumer rights. In conclusion, the study sheds light on the complexity and significance of price discrimination in the age of big data. It underscores the responsibility of governments and regulators in safeguarding consumer rights, maintaining fair competition, and formulating effective regulations to address price discrimination issues.