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

Felix von Pechmann, Cécile Chamaret, Béatrice Parguel () and Christophe Midler
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Felix von Pechmann: CRG I3 - Centre de recherche en gestion i3 - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - 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 - IP Paris - Institut Polytechnique de Paris - 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: CRG I3 - Centre de recherche en gestion i3 - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - Université Paris-Saclay - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique

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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.

Keywords: prévision de la demande; diffusion d’innovations; véhicule électrique; demand forecasting; diffusion of innovations; electric vehicle (search for similar items in EconPapers)
Date: 2016-01
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Published in Décisions Marketing, 2016, 81, ⟨10.7193/DM.081.81.98⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01326623

DOI: 10.7193/DM.081.81.98

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