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Innovation, Complexity and Policy

Contributions from 30 years of innovation policy research in Austria

Edited By Matthias Weber

This book brings together a set of contributions that show the breadth and depth of the scientific work of Josef Fröhlich and his influence on Austrian research, technology and innovation (RTI) policy. It is edited in honour of the occasion of his retirement as Head of Innovation Systems Department at the AIT Austrian Institute of Technology. The contributors provide an overview of important issues of debate at the intersection of innovation studies and government policy, which have been pivotal for the modernisation and consolidation of the Austrian innovation system since the early 1990s.

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Agent-based Modelling in RTI Policy: Application to the Austrian biotechnology industry (Manfred Paier / Martina Dünser / Thomas Scherngell / Simon Martin)

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Manfred Paier, Martina Dünser, Thomas Scherngell, Simon Martin

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.

1 Introduction

Agent-based modelling (ABM) is a method for analysing complex systems with basically two features: first, the system is composed of interacting agents and second, the system exhibits emergent properties. ABM has been applied to fields as diverse as financial markets, human cooperation and scientific knowledge production (see, for instance, Edmonds et al. 2008). In economic applications, ABM provides a framework to simulate the behaviour and interactions of heterogeneous agents within and with a given environment, with the objective to represent the complexity of real-world systems (Hamill and Gilbert 2015).

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