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R&D and knowledge dynamics in university-industry relationships in biotech and pharmaceuticals: An agent-based model

Author

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  • Triulzi, Giorgio
  • Scholz, Ramon
  • Pyka, Andreas

Abstract

In the last two decades, University-Industry Relationships have played an outstanding role in shaping innovation activities in Biotechnology and Pharmaceuticals. Despite the growing importance and the considerable scope of these relationships, there still is an intensive and open debate on their short and long term effects on the research system in life sciences. So far, the extensive literature on this topic has not been able to provide a widely accepted answer. This work introduces a new way to analyse University-Industry Relationships (UIRs) which makes use of an agent-based simulation model. With the help of simulation experiments and the comparison of different scenario results, new insights on the effects of these relationships on the innovativeness of the research system can be gained. In particular, focusing on knowledge interactions among heterogeneous actors, we show that: (i) universities tend to shift from a basic to an applied research orientation as a consequence of relationships with industry, (ii) universities' innovative capabilities benefit from industry financial resources but not so much from cognitive resources of the companies, (iii) biotech companies' innovative capabilities largely benefit from the knowledge interaction with universities and (iv) adequate policies in terms of public basic research funding can contrast the negative effects of UIRs on university research orientation.

Suggested Citation

  • Triulzi, Giorgio & Scholz, Ramon & Pyka, Andreas, 2011. "R&D and knowledge dynamics in university-industry relationships in biotech and pharmaceuticals: An agent-based model," FZID Discussion Papers 33-2011, University of Hohenheim, Center for Research on Innovation and Services (FZID).
  • Handle: RePEc:zbw:fziddp:332011
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    Cited by:

    1. Santiago Quintero Ramírez & Walter Lugo Ruiz Castañeda & Jorge Robledo Velásquez, 2017. "Representation of unlearning in the innovation systems: A proposal from agent-based modeling," Estudios Gerenciales, Universidad Icesi, vol. 33(145), pages 366-376, November.
    2. Nuha Zamzami & Andrea Schiffauerova, 2017. "The impact of individual collaborative activities on knowledge creation and transmission," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1385-1413, June.

    More about this item

    Keywords

    University-Industry Relationships; Knowledge Dynamics; University Patenting; Technology Transfer; Agent-Based Modelling;
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