Éditorial
This article concerns the function of technology intelligence as a tool for identifying partners to support a research and innovation project. More precisely, we intend to show how the combination of regular outlook practices and one-time analysis of data can help an organization develop its ability...
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| Format: | Article ou chapitre numérique |
| Idioma: | Français |
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2021
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| Accés en línia: | Accès Université d'Orléans et IFPM |
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cairn-RIIE1_131_0009RIIE1Revue internationale d'intelligence économique https://shs.cairn.info/revue-internationale-d-intelligence-economique-2021-1-page-9?lang=fr Éditorial Knauf, AudreyMoinet, NicolasCoussi, Olivier2021 fre Revue internationale d'intelligence économique | 13 | 1 | 2021-12-17 | p. 9-13 | 2101-647X RIIE1_13163 This article concerns the function of technology intelligence as a tool for identifying partners to support a research and innovation project. More precisely, we intend to show how the combination of regular outlook practices and one-time analysis of data can help an organization develop its ability to single out suitable partners outside its own skills. This feedback from practitioners specializing in technology intelligence is based on a concrete case conducted within the INRAE institute and is linked the field of plant phenotyping. Carried out over a period of 18 months, the study which concerned the field of phenotyping made it possible to identify around one hundred actors belonging to different activity sectors on which INRAE had little knowledge. Beyond their identification, actors were also positioned on the phenotyping technological value-chain.Cairn restricted access |
| language |
Français |
| format |
Article ou chapitre numérique |
| building |
0/Bibliothèque numérique/ 1/Bibliothèque numérique/Cairn/ |
| description |
This article concerns the function of technology intelligence as a tool for identifying partners to support a research and innovation project. More precisely, we intend to show how the combination of regular outlook practices and one-time analysis of data can help an organization develop its ability to single out suitable partners outside its own skills. This feedback from practitioners specializing in technology intelligence is based on a concrete case conducted within the INRAE institute and is linked the field of plant phenotyping. Carried out over a period of 18 months, the study which concerned the field of phenotyping made it possible to identify around one hundred actors belonging to different activity sectors on which INRAE had little knowledge. Beyond their identification, actors were also positioned on the phenotyping technological value-chain. |
| author |
Knauf, Audrey Moinet, Nicolas Coussi, Olivier |
| spellingShingle |
Knauf, Audrey Moinet, Nicolas Coussi, Olivier Éditorial |
| author_facet |
Knauf, Audrey Moinet, Nicolas Coussi, Olivier |
| author_sort |
Knauf, Audrey |
| title |
Éditorial |
| title_short |
Éditorial |
| title_full |
Éditorial |
| title_fullStr |
Éditorial |
| title_full_unstemmed |
Éditorial |
| title_sort |
éditorial |
| publishDate |
2021 |
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| url |
https://ezproxy.univ-orleans.fr/login?url=https://shs.cairn.info/revue-internationale-d-intelligence-economique-2021-1-page-9?lang=fr |
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