个人数据交易市场中数据消费者与数据提供者激励机制的利润最大化模型

Data Pub Date : 2023-12-25 DOI:10.3390/data9010006
Hyo-Jin Park, Hyeontaek Oh, Jun Kyun Choi
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摘要

本文提出了一个数据消费者的利润最大化模型,当数据消费者通过数据经纪商从数据提供商(通过获得同意)购买个人数据,并向数据提供商(即服务消费者)提供其新服务时,数据消费者的利润最大化模型。为了观察数据提供者、数据消费者和服务消费者的行为模型,本文提出了数据提供者的个人数据销售意愿模型(受数据提供者与显式同意相关行为的影响)、从数据消费者角度看所收集的个人数据获得的服务质量模型,以及服务消费者对数据消费者提供的新服务的支付意愿模型。特别是,本文共同考虑了数据提供者和服务使用者在有限预算下的行为。本文的参数来源于对数据提供商的实际调查,文中展示了各种数值结果,以检验建议模型的可行性。
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A Profit Maximization Model for Data Consumers with Data Providers’ Incentives in Personal Data Trading Market
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.
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