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Consumer Valuation of Personal Information in the Age of Big Data

机译:大数据时代的个人信息消费者评估

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摘要

In a big data environment, there are growing concerns about the violation of consumer rights regarding information privacy. To induce rational regulations for protecting personal information, it is necessary to separately estimate consumers' values related to different types of personal information. In this article, discrete choice experiments using hypothetical information leakage situations given certain compensation amounts and discrete choice models were used to quantitatively analyze the value of personal information. The results indicate that consumers generally place high value on information that could cause immediate and actual damage from the leakage after identification, such as basic personal information and purchase list and payment information. Consumers value location information and personal medical information differently based on their perceived importance of privacy and their prior experience with personal information leakage. We suggest that the level of regulation should differ according to the type of personal information based on the consumers' valuation. This article contributes to a better understanding of a quantitative approach to pricing personal information.
机译:在大数据环境中,人们越来越担心侵犯有关信息隐私的消费者权利。为了引入合理的法规来保护个人信息,有必要分别估计与不同类型的个人信息有关的消费者价值。在本文中,使用给定一定补偿量的假设信息泄漏情况进行的离散选择实验和离散选择模型用于定量分析个人信息的价值。结果表明,消费者通常对识别后可能因泄漏造成直接和实际损害的信息给予高度重视,例如基本个人信息,购买清单和付款信息。消费者根据他们对隐私的重视程度以及他们以前对个人信息泄露的经验,对位置信息和个人医疗信息的重视程度不同。我们建议监管水平应根据基于消费者评估的个人信息类型而有所不同。本文有助于更好地理解定量定价个人信息的方法。

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    Erasmus School of Economics, Erasmus University Rotterdam, PO Box 1738, 3000DR Rotterdam, The Netherlands;

    Institute for Data, Systems, and Society, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA;

    Technology Management Economics and Policy Program, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea;

    Department of Energy Policy, Graduate School of Energy & Environment, Seoul National University of Science & Technology, 232 Gongneung-ro, Nowon-gu, Seoul 01811 South Korea;

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