Use of personal data for monetization purposes: the case of mobile applications

Clara Jean () and Vincent Lefrere ()
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Clara Jean: EESC-GEM Grenoble Ecole de Management
Vincent Lefrere: IMT-BS - DEFI - Département Droit, Économie et Finances - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]

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Abstract: In the mobile apps market, most apps can be downloaded for free. This study reviews the economic literature on the three most popular monetization strategies used to generate revenue: Advertising, freemium, and personal data. We discuss the part played by personal data in each of these three monetization strategies, and highlight why the lack of knowledge about the ultimate uses of personal data by market stakeholders should be of concern.

Keywords: Mobile Apps; Privacy; Monetization Strategies; Third Party (search for similar items in EconPapers)
Date: 2023
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Published in Journal of Economic Issues, 2023, 57 (4), pp.1095-1102. ⟨10.1080/00213624.2023.2273128⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03948374

DOI: 10.1080/00213624.2023.2273128

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