Analysis of the Current Situation and Mechanism of Big Data Killing on Chinese Internet Platforms
- DOI
- 10.2991/978-94-6463-124-1_15How to use a DOI?
- Keywords
- Government; Big data killing; Platforms; Price discrimination; Economy
- Abstract
Big data killing refers to the phenomenon that old users and new users are treated differently on the Internet platform. Through case studies, this paper analyzes the current situation and mechanism of big data killing on Chinese Internet platforms. It is concluded that big data killing is not simply the loss of consumers to the rest of the platform, but that consumers accept a high price because of big data killing under the condition of asymmetric information and the budget constraint of the platform. This results in the reduction of the number of products from other competitive markets, thus reducing the utility of consumers and the level of social welfare. The bargaining price based on the big data of the platform is different from the price discrimination of general products. Big data bargaining is more harmful to social welfare than price discrimination of general products. Standardizing platform big data bargaining can improve social welfare.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ziang Wupu PY - 2023 DA - 2023/03/29 TI - Analysis of the Current Situation and Mechanism of Big Data Killing on Chinese Internet Platforms BT - Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022) PB - Atlantis Press SP - 118 EP - 127 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-124-1_15 DO - 10.2991/978-94-6463-124-1_15 ID - Wupu2023 ER -