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ResearchPaper
2011
R&D and knowledge dynamics in university-industry relationships in biotech and pharmaceuticals : an agent-based model
R&D and knowledge dynamics in university-industry relationships in biotech and pharmaceuticals : an agent-based model
Abstract (English)
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.
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Notes
Publication license
Publication series
FZID discussion papers; 33
Published in
Faculty
Faculty of Business, Economics and Social Sciences
State Institutes
State Institutes
Institute
Institute of Economics
Forschungszentrum Innovation und Dienstleistung
Forschungszentrum Innovation und Dienstleistung
Examination date
Supervisor
Edition / version
Citation
Identification
DOI
ISSN
ISBN
Language
English
Publisher
Publisher place
Classification (DDC)
330 Economics
Original object
Standardized keywords (GND)
Sustainable Development Goals
BibTeX
@techreport{Pyka2011,
url = {https://hohpublica.uni-hohenheim.de/handle/123456789/5516},
author = {Pyka, Andreas and Scholz, Ramon and Triulzi, Giorgio et al.},
title = {R&D and knowledge dynamics in university-industry relationships in biotech and pharmaceuticals : an agent-based model},
year = {2011},
school = {Universität Hohenheim},
series = {FZID discussion papers},
}