Browsing by Subject "R&D networks"

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Inter-firm R&D networks in the global pharmaceutical biotechnology industry during 1985?1998 : a conceptual and empirical analysis
(2011) Krogmann, Yin; Schwalbe, Ulrich
This paper analyses a large database on inter-firm R&D cooperation formed in the pharmaceutical biotechnology industry during the period 1985?1998. The results indicate that network size largely grows, whereas the density of the network declines during the periods. In the network analysis that emphasizes individual structural positions, the empirical results show that small biotechnological companies had a crucial bridging role for the large pharmaceutical firms in the second half of the 1980s. In the 1990s, the bridge role of biotechnology companies became less important and established pharmaceutical companies developed into dominant start players with many collaborators while holding central roles in the research network. The current analysis also shows that degree-based and betweenness-based network centralization are both low implying that the overall positional advantages are relatively equally distributed in the inter-firm R&D network of the pharmaceutical biotechnology industry.
Knowledge networks in the German bioeconomy : network structure of publicly funded R&D networks
(2019) Bogner, Kristina
Aiming at fostering the transition towards a sustainable knowledge-based Bioeconomy (SKBBE), the German Federal Government funds joint and single research projects in predefined socially desirable fields as, for instance, in the Bioeconomy. To analyse whether this policy intervention actually fosters cooperation and knowledge transfer as intended, researchers have to evaluate the network structure of the resulting R&D network on a regular basis. Using both descriptive statistics and social network analysis, I investigate how the publicly funded R&D network in the German Bioeconomy has developed over the last 30 years and how this development can be assessed from a knowledge diffusion point of view. This study shows that the R&D network in the German Bioeconomy has grown tremendously over time and thereby completely changed its initial structure. While from a traditional perspective the development of the network characteristics in isolation seems harmful to knowledge diffusion, taking into account the reasons for these changes shows a different picture. However, this might only hold for the diffusion of mere techno-economic knowledge. It is questionable whether the artificially generated network structure also is favourable for the diffusion of other types of knowledge, e.g. dedicated knowledge necessary for the transformation towards an SKBBE.