A Profit Maximization Model for Data Consumers with Data Providers’ Incentives in Personal Data Trading Market

Author:

Park Hyojin12,Oh Hyeontaek3ORCID,Choi Jun Kyun4

Affiliation:

1. Department of Information and Communications Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea

2. TOVDATA Inc., Daejeon 34141, Republic of Korea

3. Institute for Information Technology Convergence, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea

4. School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea

Abstract

This paper proposes a profit maximization model for a data consumer when it buys personal data from data providers (by obtaining consent) through data brokers and provides their new services to data providers (i.e., service consumers). To observe the behavioral models of data providers, the data consumer, and service consumers, this paper proposes the willingness-to-sell model of personal data of data providers (which is affected by data providers’ behavior related to explicit consent), the service quality model obtained by the collected personal data from the data consumer’s perspective, and the willingness-to-pay model of service consumers regarding provided new services from the data consumer. Particularly, this paper jointly considers the behavior of data providers and service users under a limited budget. With parameters inspired by real-world surveys on data providers, this paper shows various numerical results to check the feasibility of the proposed models.

Funder

National Research Foundation of Korea (NRF) grant funded by the Korea government

Publisher

MDPI AG

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Reference36 articles.

1. A Survey on Big Data Market: Pricing, Trading and Protection;Liang;IEEE Access,2018

2. A Survey of Data Marketplaces and Their Business Models;Azcoitia;SIGMOD Rec.,2022

3. A Survey of Data Pricing for Data Marketplaces;Zhang;IEEE Trans. Big Data,2023

4. Transparency Market Research (2023, August 03). Data Brokers Market [Data Type: Unstructured Data, Structured Data, Custom Structure Data]—Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2022–2031. Available online: https://www.transparencymarketresearch.com/data-brokers-market.html.

5. Rieke, A., Yu, H., Robinson, D., and von Hoboken, J. (2016). Data Brokers in an Open Society: An Upturn Report, Open Society Foundations.

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