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中国管理科学 ›› 2022, Vol. 30 ›› Issue (3): 85-95.doi: 10.16381/j.cnki.issn1003-207x.2020.2232

• 论文 • 上一篇    下一篇

数据可携权能否治理“大数据杀熟”?

邢根上1,2, 鲁芳1, 周忠宝3, 叶锦龙1   

  1. 1.中南林业科技大学智慧物流技术湖南省重点实验室,湖南 长沙410004;2.湖南工业大学商学院,湖南 株洲412007; 3.湖南大学工商管理学院,湖南 长沙410082
  • 收稿日期:2020-08-31 修回日期:2020-12-15 出版日期:2022-03-19 发布日期:2022-03-19
  • 通讯作者: 鲁芳(1979-),女,(汉族),湖南浏阳人,中南林业科技大学智慧物流技术湖南省重点实验室,教授,博士,研究方向:大数据分析、物流与供应链管理、电子商务等,Email:717290412@qq.com. E-mail:717290412@qq.com
  • 基金资助:
    国家社会科学基金资助项目(19BGL177);湖南省重点实验室资助项目(2019TP1015);湖南省自然科学基金资助项目(2018JJ3131);湖南省社会成果评审委员会课题立项(XSP20YBC389);湖南省哲学社会科学项目(17YBA127);湖南省教育厅重点项目(18A172)

Can the Right of Data Portability Govern Big Data-based Price Discrimination?

XING Gen-shang1,2, LU Fang1, ZHOU Zhong-bao3, YE Jin-long1   

  1. 1. Hunan Provincial Key Laboratory of Intelligent Logistics Technology, Central South University of Forestry and Technology, Changsha 410004, China; 2. Business School, Hunan University of Technology, Zhuzhou 412007, China;3. Business School,Hunan University, Changsha 410082, China
  • Received:2020-08-31 Revised:2020-12-15 Online:2022-03-19 Published:2022-03-19
  • Contact: 鲁芳 E-mail:717290412@qq.com

摘要: 电商平台利用大数据对消费者“杀熟”的现象屡见不鲜,但因其隐蔽性我国政府一直难以监管,那么欧盟提出的消费者数据可携权能否治理“大数据杀熟”现象?对此本文从平台用户的视角出发,通过构建由电商平台和消费者组成的演化博弈模型,研究引入数据可携权后双方的演化稳定策略,并分析影响双方行为策略的因素。研究表明:当老顾客在平台用户中占比较高,并且老顾客行使数据可携权转移至新平台获得的额外效用大于某阈值时,赋予消费者数据可携权能够遏制 “大数据杀熟”现象,但当老顾客中不满意顾客的占比较高时,消费者具有数据可携权会阻碍电商平台产品或服务的提升;消费者行使数据可携权的概率与个人数据价值成正相关,与观测数据价值成负相关;电商平台采取“大数据杀熟”策略的概率与个人数据价值成正相关,与衍生数据价值成负相关。

关键词: 大数据杀熟;数据可携权;数据价值;演化博弈

Abstract: It is not uncommon for e-commerce platforms to set higher price for frequent customers by using big data. However, because of the hidden nature of the algorithms of e-commerce platforms, the Chinese government has been difficult to supervise the the phenomenon of big data-based price discrimination. So can the EU’s right to data portability control it? In view of the fact that it is a long-term dynamic process for consumers to exercise right to data portability to deal with big data-based price discrimination, an evolutionary game model composed of consumers and e-commerce platforms is considered. First, the evolutionary game model of big data-based price discrimination considering the right of data portability is constructed, the evolutionary stability strategies of consumers and e-commerce platforms are analyzed, and the factors affecting the evolutionary stability strategies of both parties are obtained. Then, based on the evolutionary game model, the stability of the equilibrium point is analyzed, and the conditions of the evolutionary stable equilibrium are obtained. Finally, a numerical simulation analysis is carried out using Matlab software. Research shows that if the proportion of regular customers among platform users is relatively high, and the additional utility gained by regular customers by exercising their data portability rights to the new platform is greater than a certain threshold, granting consumers the data portability rights can curb the phenomenon of big data-based price discrimination. But when the proportion of dissatisfied customers among regular customers is relatively high, the right to data portability by consumers will hinder the improvement of e-commerce platform products or services; the increase in the value of personal data will simultaneously promote e-commerce platforms to exercise price discrimination and consumers to exercise data portability, but the increase in the value of observational data will have a negative impact on consumers' exercise of data portability, and the increase in the value of derivative data will inhibit e-commerce platforms' price discrimination. This paper is of great significance for solving the phenomenon of big data-based price discrimination and enriching research on price discrimination.

Key words: big data-based price discrimination; the right to data portability; data value; evolutionary game

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