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Simulating Knowledge Dynamics in Innovation Networks

  • Nigel Gilbert
  • Petra Ahrweiler
  • Andreas Pyka

Part of the Understanding Complex Systems book series (UCS)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Petra Ahrweiler, Andreas Pyka, Nigel Gilbert
    Pages 1-13
  3. Innovation Strategies

  4. Testing Policy Options

    1. Front Matter
      Pages 97-97
    2. Petra Ahrweiler, Michel Schilperoord, Andreas Pyka, Nigel Gilbert
      Pages 155-183
    3. Michel Schilperoord, Petra Ahrweiler
      Pages 185-198
  5. Applying SKIN to Innovation Sectors

  6. Back Matter
    Pages 243-248

About this book

Introduction

The competitiveness of firms, regions and countries greatly depends on the generation, dissemination and application of new knowledge. Modern innovation research is challenged by the need to incorporate knowledge generation and dissemination processes into the analysis so as to disentangle the complexity of these dynamic processes. With innovation, however, strong uncertainty, nonlinearities and actor heterogeneity become central factors that are at odds with traditional modeling techniques anchored in equilibrium and homogeneity.

This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint knowledge creation and exchange of knowledge in innovation co‐operations and networks. In this context, knowledge is explicitly modeled and not approximated by, for instance, the level of accumulated R&D investment. The SKIN approach supports applications in different domains ranging from sector-based research activities in knowledge-intensive industries to the activities of international research consortia engaged in basic and applied research.

Following a general description of the SKIN  model, several applications and modifications are presented. Each chapter introduces in detail the structure of the model, the relevant methodological considerations and the analysis of simulation results, while options for empirically validating the models’ structure and outcomes are also discussed. The book considers the scope of further applications and outlines prospects for the development of joint modeling strategies.

Keywords

Agent-based Modeling and Simulations Innovation Networks Innovation Strategies and Systems Introduction to SKIN SKIN Modeling SKIN Modelling SKIN Simulating Knowledge Dynamics in Innovation Networks Social and Economic Complex Networks

Editors and affiliations

  • Nigel Gilbert
    • 1
  • Petra Ahrweiler
    • 2
  • Andreas Pyka
    • 3
  1. 1.Department of Sociology Faculty of Arts and Human SciencesUniversity of SurreyGuildfordUnited Kingdom
  2. 2.EA European Academy of Technology and Innovation Assessment GmbHBad Neuenahr-AhrweilerGermany
  3. 3.Lehrstuhl für InnovationsökonomikUniversität HohenheimStuttgartGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-43508-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Business and Economics
  • Print ISBN 978-3-662-43507-6
  • Online ISBN 978-3-662-43508-3
  • Series Print ISSN 1860-0832
  • Series Online ISSN 1860-0840
  • Buy this book on publisher's site
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