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Comment prévoir le succès d’une innovation de rupture ? Le cas du véhicule électrique

Author

Listed:
  • Felix von Pechmann

    (i3-CRG - Centre de recherche en gestion i3 - X - École polytechnique - Université Paris-Saclay - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

  • Cécile Chamaret

    (CRG - Centre de recherche en gestion - X - École polytechnique - CNRS - Centre National de la Recherche Scientifique)

  • Béatrice Parguel

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Christophe Midler

    (i3-CRG - Centre de recherche en gestion i3 - X - École polytechnique - Université Paris-Saclay - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

Abstract

Demand forecasting for disruptive innovations is a major challenge for professionals and academics. This article addresses the issue by building an original spatial model, USIDDI (User-centric SImulation for the Deployment of Disruptive Innovations) on the analysis of individuals' compatibility with the innovation. We empirically test the model on the electric vehicle market and emphasize the nature of the recommendations that should be made to companies and governments to accelerate the scaling-up of disruptive innovations.

Suggested Citation

  • Felix von Pechmann & Cécile Chamaret & Béatrice Parguel & Christophe Midler, 2016. "Comment prévoir le succès d’une innovation de rupture ? Le cas du véhicule électrique," Post-Print hal-01326623, HAL.
    • Handle: RePEc:hal:journl:hal-01326623
    DOI: 10.7193/DM.081.81.98
    as

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