Modéliser l’émergence de l’expertise et sa gouvernance dans les entreprises innovantes : des communautés aux sociétés proto-épistémiques d’experts

Abstract : In science-based industries, the pace of innovation is characterized by accelerated renewal of products and the destabilization of dominant designs. In this context of intensive innovation, industrial organizations have to develop new breakthrough innovation capabilities to organize the emergence of new technological expertise allowing the innovative design of new products and technologies.Paradoxically, expertise and innovation issues can sometimes seem to be in opposition or at least in tension. Expertise seems to preserve the dominant designs, but it also allows the generation of conceptual expansion. Behind this aporia, there are crucial questions about the contemporary management of the emergence of expertise in science-based organizations in a situation of intensive innovation.From on an exploratory approach based on a longitudinal case study at STMicroelectronics, this thesis focuses on governance models for the emergence of expertise in science-based organizations. Based on an empirical analysis carried out by STMicroelectronics, this work shows that the emergence of new expertise is effected by a reorganization and a profound restructuring of the expertise structures. In other words, new areas of expertise emerge from the reconfiguration of interdependent relationships between existing areas of expertise.Moreover, this research suggests a formal model for the emergence of expertise in science-based organizations. This model allows to identify new managerial challenges and to highlight organizational models to support these expertise emergence forms. Then, new management solutions are tested and analyzed at STMicroelectronics. Finally, the thesis analyses scientific experts’ roles and missions in the innovation strategies within science- based organizations.
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Benjamin Cabanes. Modéliser l’émergence de l’expertise et sa gouvernance dans les entreprises innovantes : des communautés aux sociétés proto-épistémiques d’experts. Gestion et management. PSL Research University, 2017. Français. ⟨NNT : 2017PSLEM003⟩. ⟨tel-01565628v3⟩

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