Personal data has emerged as a crucial asset of the digital economy. However, unregulated markets for personal data severely threaten consumers’ privacy. Based upon a commodity-centric notion of privacy, this paper takes a principal-agent perspective on data-centric business. Specifically, this paper presents an economic model of the privacy problem in data-centric business, in that drawing from contract theory. Building upon a critical analysis of the model, this paper analyzes how regulatory and technological instruments could balance efficiency of markets for personal data and data-subjects’ right to informational self-determination.
CITATION STYLE
Zimmermann, C., & Nolte, C. G. (2015). Towards balancing privacy and efficiency: A principal-agent model of data-centric business. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9331, pp. 89–104). Springer Verlag. https://doi.org/10.1007/978-3-319-24858-5_6
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