Setting the scene: methods for supporting decision making in an innovation process

Abstract : The inter-relationships between information, invention and innovation are more and more difficult to control due to the ever increasing amount, diversity and complexity of available information. These challenges can be tackled through the use of Knowledge Discovery in Databases (KDD). Explored as a scientific field, the KDD methodology incorporates a number of different aspects of knowledge management such as scientific discoveries, structural knowledge exploration, treatment of weak signals and innovative conception methods. However, the most important aspect of the use of this methodology is the consideration of the effects of uncertainty, risk and human behaviour. The KDD methodology must be initiated and supported by the decision making managers. The dynamic interface and synergy between methods and resulting communications is fundamental and requires a vision of the market and potential returns on investment. This presentation will include various cases to illustrate these tools based on theoretical considerations.
Type de document :
Communication dans un congrès
EIRMA (European Industrial Research Management Association), 2014, Vevey, Switzerland. 2014, Knowledge Driven Decision Processes in R&D
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https://archivesic.ccsd.cnrs.fr/sic_01279666
Contributeur : David Reymond <>
Soumis le : vendredi 26 février 2016 - 16:45:49
Dernière modification le : jeudi 18 janvier 2018 - 01:49:55

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  • HAL Id : sic_01279666, version 1

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Luc Quoniam, David Reymond. Setting the scene: methods for supporting decision making in an innovation process. EIRMA (European Industrial Research Management Association), 2014, Vevey, Switzerland. 2014, Knowledge Driven Decision Processes in R&D. 〈sic_01279666〉

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