A Theory of the Effects of Privacy

The growth of information technologies has intensified concerns about individual privacy and highlighted the importance of consumer privacy rights. At the same time, these technologies enable significant personalization of communications and offerings. We develop a theory of the effects of privacy based on the concavity of an individual’s derived payoff function with respect to market beliefs: When this function is concave, privacy is valuable. We identify market conditions that lead to concavity or convexity in the derived payoff function. The framework is applied to contexts such as product choice, price discrimination, data breaches, and health insurance. This paper was accepted by Raphael Thomadsen, marketing. Funding: A. Bonatti acknowledges financial support through the National Science Foundation [Grant SES-1948692]. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2024.05354 .

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Publication Details

Journal
Management Science
Published
2025-09-02
DOI
https://doi.org/10.1287/mnsc.2024.05354
Citations
1
Primary Topic
Digital Platforms and Economics
Type
article
Field-Weighted Citation Impact
2.23
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article

A Theory of the Effects of Privacy

Alessandro Bonatti, J. Miguel Villas‐Boas, Yunhao Huang
1 citations
Management Science
Digital Platforms and Economics
2.23
article

A Theory of the Effects of Privacy

Alessandro Bonatti, J. Miguel Villas‐Boas, Yunhao Huang
article en
1 citations

Abstract

The growth of information technologies has intensified concerns about individual privacy and highlighted the importance of consumer privacy rights. At the same time, these technologies enable significant personalization of communications and offerings. We develop a theory of the effects of privacy based on the concavity of an individual’s derived payoff function with respect to market beliefs: When this function is concave, privacy is valuable. We identify market conditions that lead to concavity or convexity in the derived payoff function. The framework is applied to contexts such as product choice, price discrimination, data breaches, and health insurance. This paper was accepted by Raphael Thomadsen, marketing. Funding: A. Bonatti acknowledges financial support through the National Science Foundation [Grant SES-1948692]. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2024.05354 .

Management Science
University of Southern California (US), Massachusetts Institute of Technology (US), University of California, Berkeley (US)
Openalex Percentile: Top 9%
Digital Platforms and Economics
2.23
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A Theory of the Effects of Privacy — Alessandro Bonatti, J. Miguel Villas‐Boas, et al. · Management Science (2025) | TGRS Research Map | TGRS