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

Triulzi, Giorgio; Scholz, Ramon; Pyka, Andreas

Eingang zum Volltext

Triulzi, Giorgio ; Scholz, Ramon ; Pyka, Andreas

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

Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgende
URN: urn:nbn:de:bsz:100-opus-6359
URL: http://opus.uni-hohenheim.de/volltexte/2011/635/

pdf-Format:

Dokument 1.pdf (934 KB)

Dokument in Google Scholar suchen:

Social Media:

Export:

Abrufstatistik:

SWD-Schlagwörter:

Technologietransfer , Biotechnologische Industrie , Innovation

Freie Schlagwörter (Englisch):

university-industry relationships , knowledge dynamics , university patenting , technology transfer , agent-based modelling

Institut 1:

Forschungszentrum Innovation und Dienstleistung

Institut 2:

Institut für Volkswirtschaftslehre

DDC-Sachgruppe:

Wirtschaft

Dokumentart:

ResearchPaper

Schriftenreihe:

FZID discussion papers

Bandnummer:

Sprache:

Englisch

Erstellungsjahr:

2011

Publikationsdatum:

22.09.2011

Lizenz:

Veröffentlichungsvertrag mit der Universitätsbibliothek Hohenheim ohne Print-on-Demand

Kurzfassung auf Englisch:

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.