Comment prévoir le succès d’une innovation
How to predict the success of disruptive innovations? The case of the electric vehicle 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 D...
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2016
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| Online Access: | http://hdl.handle.net/20.500.12458/84 |
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| _version_ | 1857415063544004608 |
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| author | Chamaret, Cécile |
| author_facet | Chamaret, Cécile |
| author_role | author |
| dc.creator.none.fl_str_mv | Chamaret, Cécile |
| dc.date.none.fl_str_mv | 2016 2018-11-19T17:57:43Z 2018-11-19T17:57:43Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/20.500.12458/84 |
| dc.language.none.fl_str_mv | fr |
| dc.relation.none.fl_str_mv | Décisions Marketing 81 81 98 |
| dc.title.none.fl_str_mv | Comment prévoir le succès d’une innovation |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article |
| description | How to predict the success of disruptive innovations? The case of the electric vehicle 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. Mots-clés |
| id | sorbonner_a3f1b5b7edd80843138f7dd60dcb2dca |
| language_invalid_str_mv | fr |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/84 |
| publishDate | 2016 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Comment prévoir le succès d’une innovationChamaret, CécileHow to predict the success of disruptive innovations? The case of the electric vehicle 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. Mots-clés2018-11-19T17:57:43Z2018-11-19T17:57:43Z2016Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articleapplication/pdfhttp://hdl.handle.net/20.500.12458/84frDécisions Marketing818198oai:depot.sorbonne.ae:20.500.12458/842023-12-06T07:28:36Z |
| spellingShingle | Comment prévoir le succès d’une innovation Chamaret, Cécile |
| title | Comment prévoir le succès d’une innovation |
| title_full | Comment prévoir le succès d’une innovation |
| title_fullStr | Comment prévoir le succès d’une innovation |
| title_full_unstemmed | Comment prévoir le succès d’une innovation |
| title_short | Comment prévoir le succès d’une innovation |
| title_sort | Comment prévoir le succès d’une innovation |
| url | http://hdl.handle.net/20.500.12458/84 |