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International audience; This article focuses on Design Science Research methodologies (DSR) in the case of in- vention ie when there is no theoretical and practical knowledge to understand the problem to be solved and to guide the design work. In this case, it is crucial to clarify the problem. It rises to a real challenge to conventional DSR methodologies that ignore it, always consid- ering the problem to be solved as a priori well defined. It is also key to ensure the relevance of the created artifact because misunderstanding the initial problem may compromise its success. The contribution of our work is therefore to provide a methodological response to the clarification problem by the design of scenarios of use. Our contribution is not limited to the introduction of these scenarios into DSR meth- odologies. It also consists in proposing an original version by anchoring them in a struc- turationist perspective. The design of scenarios of use was applied to the KMP project, an innovative web portal of skills to promote innovations between firms and between firms and research laboratories. Their integration into DSR methodologies is useful because it gives a more complete methodological framework for researchers wishing to implement an DSR approach in the case of an invention.

At STMicroelectronics, the Business Intelligence team is daily confronted to exploit data and information to create reports about manufacturing activities in order to supervise it. In such an industrial organization, products change regularly and data can quickly become obsolete. Consequently, over time, the number of created reports is highly growing, while knowledge about their creation is lost. This is shown in a qualitative and quantitative evaluation of the main part of the STMicroelectronics' knowledge system.As a result, problems related to knowledge obsolescence, duplication, non-centralization and proliferation continuously arise. Therefore, this work addresses the general following research question:How to ensure a continuous expert knowledge capitalization?To answer this question, a continuous improvement cycle for knowledge capitalization is proposed. Its objective is to effectively and continuously capitalize expert knowledge while targeting business needs and providing an evolving solution. It is based on a Business Intelligence for Business Intelligence system (BI4BI). Since knowledge is embedded not only in systems and tools, but also in human minds and practices, our proposed knowledge capitalization solution also involves people and organizations: it proposes to collect users' feedbacks and insights to integrate them in knowledge representation and in our BI4BI tool.; À STMicroelectronics, l'équipe de Business Intelligence est confrontée à exploiter quotidiennement des données et des informations pour créer des rapports d'activité afin de superviser la production. Dans une telle organisation industrielle, les produits changent régulièrement et les données peuvent rapidement devenir obsolètes. Par conséquent, au fil du temps, le nombre de rapports crées est de plus en plus important, tandis que les connaissances sur leur création sont perdues. Ceci est illustré dans une évaluation qualitative et quantitative de la partie principale du système de connaissances à STMicroelectronics.Ainsi, des problèmes d'obsolescence, de duplication, de non-centralisation et de prolifération continuent à surgir. Ce travail doit, donc, répondre à la question de recherche générale suivante:Comment assurer une capitalisation continue des connaissances métier?Pour répondre à cette question, un cycle d'amélioration continue pour la capitalisation des connaissances est proposé. Son objectif est de capitaliser efficacement et en permanence les connaissances, tout en ciblant les besoins métier et assurant une solution évolutive. Un système de Business Intelligence pour la Business Intelligence (BI4BI) est proposé. Comme la connaissance est intégrée non seulement dans les systèmes et les outils, mais aussi détenue par les humains et leurs pratiques, notre solution de capitalisation de connaissances proposée implique aussi les utilisateurs et les organisations: elle propose de recueillir les points de vue des utilisateurs pour les intégrer dans la représentation des connaissances et dans notre système BI4BI.