Agent-based Modelling in RTI Policy: Application to the Austrian biotechnology industry

Manfred Paier; Martina Neuländtner; Thomas Scherngell; Simon Martin

Agent-based Modelling in RTI Policy: Application to the Austrian biotechnology industry

Manfred Paier, Martina Neuländtner, Thomas Scherngell, Simon Martin

Institute for Spatial and Social-Ecological Transformations (Essletzbichler)

Publication: Chapter in book/Conference proceeding › Chapter in edited volume

Abstract

This chapter presents an empirical agent-based model of knowledge creation in a system of researching firms. The model focuses on government policies fostering inter-organisational collaboration, risk-taking propensity and competitive advantage. Simulations refer to the impact of such interventions on overall research output and technological specialization of the Austrian biotech industry.

Original language	English
Title of host publication	Innovation, Complexity and Policy. Contributions from 30 years of innovation policy research in Austria
Editors	Matthias Weber
Place of Publication	Wien
Publisher	Peter Lang
Pages	101 - 122
Publication status	Published - 2017

Austrian Classification of Fields of Science and Technology (ÖFOS)

507026 Economic geography
502014 Innovation research

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Cite this

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title = "Agent-based Modelling in RTI Policy: Application to the Austrian biotechnology industry",

abstract = "This chapter presents an empirical agent-based model of knowledge creation in a system of researching firms. The model focuses on government policies fostering inter-organisational collaboration, risk-taking propensity and competitive advantage. Simulations refer to the impact of such interventions on overall research output and technological specialization of the Austrian biotech industry.",

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Agent-based Modelling in RTI Policy: Application to the Austrian biotechnology industry. / Paier, Manfred; Neuländtner, Martina; Scherngell, Thomas et al.
Innovation, Complexity and Policy. Contributions from 30 years of innovation policy research in Austria. ed. / Matthias Weber. Wien: Peter Lang, 2017. p. 101 - 122.

Publication: Chapter in book/Conference proceeding › Chapter in edited volume

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AB - This chapter presents an empirical agent-based model of knowledge creation in a system of researching firms. The model focuses on government policies fostering inter-organisational collaboration, risk-taking propensity and competitive advantage. Simulations refer to the impact of such interventions on overall research output and technological specialization of the Austrian biotech industry.

M3 - Chapter in edited volume

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BT - Innovation, Complexity and Policy. Contributions from 30 years of innovation policy research in Austria

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