[1] Cheng Yan, Mei Shue, Zhong Weijun,. Consumers’ privacy data sharing between the sellerand the e-commerce platform [J]. Journal of Southeast University (English Edition), 2020, 36 (2): 234-240. [doi:10.3969/j.issn.1003-7985.2020.02.015]

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Consumers’ privacy data sharing between the sellerand the e-commerce platform()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

36

Issue:

2020 2

Page:

234-240

Research Field:

Economy and Management

Publishing date:

2020-06-20

Info

Title:

Consumers’ privacy data sharing between the sellerand the e-commerce platform

Author(s):

Cheng Yan;  Mei Shu’e;  Zhong Weijun

School of Economics and Management, Southeast University, Nanjing 210096, China

Keywords:

privacy data;  data sharing;  data sharing level;  data sharing value;  transaction fee

PACS:

F272.3

DOI:

10.3969/j.issn.1003-7985.2020.02.015

Abstract:

Due to the fact that consumers’ privacy data sharing has multifaceted and complex effects on the e-commerce platform and its two sided agents, consumers and sellers, a game-theoretic model in a monopoly e-market is set up to study the equilibrium strategies of the three agents(the platform, the seller on it and consumers)under privacy data sharing. Equilibrium decisions show that after sharing consumers’ privacy data once, the platform can collect more privacy data from consumers. Meanwhile, privacy data sharing pushes the seller to reduce the product price. Moreover, the platform will increase the transaction fee if the privacy data sharing value is high. It is also indicated that privacy data sharing always benefits consumers and the seller. However, the platform’s profit decreases if the privacy data sharing value is low and the privacy data sharing level is high. Finally, an extended model considering an incomplete information game among the agents is discussed. The results show that both the platform and the seller cannot obtain a high profit from privacy data sharing. Factors including the seller’s possibility to buy privacy data, the privacy data sharing value and privacy data sharing level affect the two agents’ payoffs. If the platform wishes to benefit from privacy data sharing, it should increase the possibility of the seller to buy privacy data or increase the privacy data sharing value.

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Memo

Memo:

Biographies: Cheng Yan(1986—), female, Ph.D. candidate; Mei Shu’e( corresponding author), female, doctor, professor, meishue@ seu.edu.cn.
Foundation item: The National Social Science Foundation of China(No.17BGL196).
Citation: Cheng Yan, Mei Shu’e, Zhong Weijun. Consumers’ privacy data sharing between the seller and the e-commerce platform.[J].Journal of Southeast University(English Edition), 2020, 36(2):234-240.DOI:10.3969/j.issn.1003-7985.2020.02.015.

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