数据保护和增强用户控制数据的能力

IF 2.5 3区 管理学 Q3 BUSINESS
Gaurav Jakhu
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引用次数: 0

摘要

本文研究了垄断平台的数据策略,包括两种不同数据所有权制度下的数据收集和数据保护:一种是用户无法控制与平台共享的数据量,另一种是用户可以设置隐私控制。此外,我们还考虑了在两种数据所有权制度下引入最低数据保护法规的福利影响。我们的分析得出了新的见解:(i)授权用户会导致次优的数据收集和保护水平印度班加罗尔管理学院授权用户控制数据可以更好地实现监管者提高消费者福利的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data protection and empowering users to control data

This paper examines a monopolist platform’s data strategy comprising of data collection and data protection under two different data ownership regimes: one, where users have no control over the amount of data shared with the platform, and the other, where users can set privacy controls. Moreover, we also consider the welfare implications of introducing a minimum data protection regulation under the two data ownership regimes. Our analysis yields novel insights: (i) empowering users leads to a sub-optimal level of data collection and protectionIndian Institute of Management Bangaloreith empowering users to control data can better achieve the regulator’s objective of enhancing consumer welfare.

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来源期刊
Marketing Letters
Marketing Letters BUSINESS-
CiteScore
5.90
自引率
5.60%
发文量
51
期刊介绍: Marketing Letters: A Journal of Research in Marketing publishes high-quality, shorter paper (under 5,000 words including abstract, main text and references, which is equivalent to 20 total pages, double-spaced with 12 point Times New Roman font) on marketing, the emphasis being on immediacy and current interest. The journal offers a medium for the truly rapid publication of research results. The focus of Marketing Letters is on empirical findings, methodological papers, and theoretical and conceptual insights across areas of research in marketing. Marketing Letters is required reading for anyone working in marketing science, consumer research, methodology, and marketing strategy and management. The key subject areas and topics covered in Marketing Letters are: choice models, consumer behavior, consumer research, management science, market research, sales and advertising, marketing management, marketing research, marketing science, psychology, and statistics. Officially cited as: Mark Lett
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