Are digital business models too indiscreet ? An empirical analysis

Les modèles d'affaires numériques sont-ils trop indiscrets ? Une analyse empirique

Grazia Cecere (), Fabrice Le Guel and Fabrice Rochelandet
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Grazia Cecere: 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], RITM - Réseaux Innovation Territoires et Mondialisation - UP11 - Université Paris-Sud - Paris 11, LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - EESC-GEM Grenoble Ecole de Management - UEVE - Université d'Évry-Val-d'Essonne - TEM - Télécom Ecole de Management
Fabrice Le Guel: RITM - Réseaux Innovation Territoires et Mondialisation - UP11 - Université Paris-Sud - Paris 11
Fabrice Rochelandet: IRCAV - IRCAV - Institut de Recherche sur le Cinéma et l'Audiovisuel - EA 185 - Université Sorbonne Nouvelle - Paris 3 - LABEX ICCA - UP13 - Université Paris 13 - Université Sorbonne Nouvelle - Paris 3 - CNRS - Centre National de la Recherche Scientifique - UPCité - Université Paris Cité - Université Sorbonne Paris Nord

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Abstract: Personal data collection methods have proliferated with the diversification of online services. The aim of the article is to determine the links between online companies' business models and their personal data collection strategies. The heaviest users of browsing data trackers are information websites and news sites, as well as companies' institutional communication websites. Social networking and online dating sites are less dependent on these techniques; they collect personal data directly from individuals. Based on these results, the article makes recommendations for personal data regulation.

Date: 2015-01
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Published in Réseaux : communication, technologie, société, 2015, 189, pp.77 - 101. ⟨10.3917/res.189.0077⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02386845

DOI: 10.3917/res.189.0077

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