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Contemporary innovation processes increasingly involve a large number of networked actors, and cross-fertilization between knowledge institutions and firms has thus become a significant driver for innovation. Important insights into the differing nature of research and development (R&D) collaboration in particular sectors have been provided by research inspired by the knowledge-base approach embedded within innovation system (IS) theory. This study aims to contribute to this body of literature by applying the concept of differentiated knowledge bases to the former state-socialist countries, where the IS operates through a firewall between academia and industry. Data on collaborative R&D projects co-financed by public resources have allowed a detailed analysis of the nature of collaboration networks, revealing emerging patterns of academia–industry linkages and questioning the propositions stemming from the knowledge-based approach. The study concludes that collaborative science–industry networks show a very distinct topography when analytical and synthetic knowledge is compared.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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