Projet de thèse en Sciences de Gestion
Sous la direction de Philippe Larédo.
Thèses en préparation à Paris Est , dans le cadre de OMI - Organisations, Marchés, Institutions , en partenariat avec LISIS - Laboratoire Interdisciplinaire Sciences Innovations Sociétés (laboratoire) et de TIO - Technique, Innovation, Organisation (OMI) (equipe de recherche) depuis le 01-04-2011 .
Résumé Après plus d'une décennie de dispersion mondiale des activités de R&D, la plupart des acteurs et des observateurs de ce phénomène reconnaissent que la gestion effective des réseaux de R&D reste l'un des défis les plus tenaces pour les entreprises multinationales. Compte tenu des lourdes implications pratiques, nous proposons de faire un travail de recherche sur la distribution géographique des activités de R&D. Ce travail permettra d'approfondir notre compréhension de la structure et de l'intégration des réseaux de R&D distribués et de construire des outils facilitant l'appréciation systématique de la capacité d'innovation des firmes.
Managing Distributed Innovation Networks in Multinational Corporations
Global distribution of R&D has been interpreted as a strategic decision of firms who attempt to exploit their innovation advantage to compete in an increasingly globalized environment. Continued growth of R&D globalization in emerging countries makes R&D configuration in a global scope extremely complex. This new phenomenon challenges multinational firms to devise an appropriate strategy to manage various configurations for their R&D accordingly. In this study, we examine the patterns of R&D configuration in MNCs. In particular, we investigate whether there is or not an entirely new pattern beyond the scope of the existing literature. This study contributes to the literature by deriving and testing a new typology of R&D configuration patterns. The new typology includes four archetypical patterns of R&D configuration: Satellite Network, Upgrade Satellite Network, Loosely-coupled Network, and Integrated Network. All firms we investigated in this study could find a corresponding pattern from the four archetypical patterns. In the last five years there has been extensive dispute over the organizational evolution of R&D in the sample firms of this study. The trend towards the integrated R&D network isn't evident. This result is inconsistent with the finding in the literature. We have also identified that different archetypical patterns are often mixed in large MNCs. The mixture of different configuration patterns may vary across the host countries and business units. One of the key questions was then to understand how R&D configuration in MNCs evolves from one pattern to another. In order to answer this question, we have investigated the internal and external dynamics of R&D organization from three key elements: control, knowledge sharing and local responsiveness. We have identified the types of relationships between R&D configuration patterns and three key elements of R&D organization dynamics. The results of this study show that each archetypical pattern of R&D configuration can be characterized by an architecture of the three key elements - control, knowledge sharing and local responsiveness. This study employs an action design research (ADR) methodology to pragmatically investigate the global R&D configuration in MNCs. The literature concerning the new phenomenon of global R&D configuration is not sufficient, therefore, we cannot simply select one of traditional methodologies, such as quantitative study or qualitative study. According to the participatory ADR methodology, we actively built and organized a Focus Group during two years. We conducted this whole study by interactions and collaborations with Focus Group practitioners who have engaged in the management of global R&D configuration or who have had rich professional experiences in this field. This empirical study has been realized in the framework of a public-private partnership between Laboratoire Techniques, Territoires et Sociétés (LATTS) and the European Industrial Research Management Association (EIRMA). Keywords: R&D globalization, research and development, R&D organization, innovation network, geographic distribution of R&D