Privacy Versioning: Accommodating the Demands of the Next Generation

José Parra Moyano, Sameer Mehta

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


There is increasing tension between the service quality improvements consumers receive when they allow their data to be analyzed by a firm, and the costs they incur in terms of privacy sacrifices. This is motivating firms to explore new models to attract and retain a new generation of privacy-active customers (i.e., customers who act in order to protect their privacy). This paper sets the foundation to solve the mechanism design problem for a firm that offers a continuous set of menus allowing its customers to chose their optimal
combination of privacy and price. The solution of the problem shows that the relationship between prices and the amount of data shared is non-monotonic. This is a surprising result that may contribute to a better understanding of the privacy paradox, as well as to help scholars and practitioners to push the known boundaries of privacy-based versioning.
Original languageEnglish
Title of host publicationProceedings of the 43rd International Conference on Information Systems (ICIS) : Digitization for the Next Generation
EditorsTilo Böhmann, Kai-Lung Hui, Viswanath Venkatesh
Number of pages9
Place of PublicationAtlanta, GA
PublisherAssociation for Information Systems. AIS Electronic Library (AISeL)
Publication date2022
Article number1251
Publication statusPublished - 2022
EventThe 43rd International Conference on Information Systems: ICIS 2022: Digitization for the Next Generation - Copenhagen, Denmark
Duration: 9 Dec 202214 Dec 2022
Conference number: 43


ConferenceThe 43rd International Conference on Information Systems: ICIS 2022
Internet address
SeriesProceedings of the International Conference on Information Systems


  • Mechanism design
  • Privacy paradox
  • Privacy versioning
  • Subscription model

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