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La classification des individus face au partage des données personnelles : le cas de l’application StopCovid

Author

Listed:
  • Niousha Shahidi

    (EDC - EDC Paris Business School)

  • Stéphane Bourliataux-Lajoinie

    (LIRSA - Laboratoire interdisciplinaire de recherche en sciences de l'action - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université)

  • Vesselina Tossan

    (LIRSA - Laboratoire interdisciplinaire de recherche en sciences de l'action - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université)

Abstract

Cet article étudie le comportement des individus face à privacy lors de l'utilisation de l'application StopCovid. Cette dernière est éditée par l'Etat avec une double finalité synchrone, la protection individuelle et la protection collective face à la pandémie. Une typologie des comportements est proposée. L'interprétation des classes obtenues permet de proposer des solutions pour cibler chaque segment.

Suggested Citation

  • Niousha Shahidi & Stéphane Bourliataux-Lajoinie & Vesselina Tossan, 2022. "La classification des individus face au partage des données personnelles : le cas de l’application StopCovid," Post-Print hal-04099302, HAL.
    • Handle: RePEc:hal:journl:hal-04099302
    DOI: 10.3917/mav.130.0135
    as

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