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Understanding Complex Systems

Simulating Knowledge Dynamics in Innovation Networks

Editors: Gilbert, Nigel, Ahrweiler, Petra, Pyka, Andreas (Eds.)

  • Edited and authored by leading researchers in the field
  • Self-contained introduction into a new and well-tested modelling technique
  • Contains case studies
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eBook $139.00
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  • ISBN 978-3-662-43508-3
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Hardcover $179.00
price for USA
  • ISBN 978-3-662-43507-6
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  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
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  • ISBN 978-3-662-51148-0
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About this book

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.

Table of contents (10 chapters)

  • Simulating Knowledge Dynamics in Innovation Networks: An Introduction

    Ahrweiler, Petra (et al.)

    Pages 1-13

  • Firm-Level Business Strategies and the Evolution of Innovation Networks in the Nordic Internet Service Industry

    Blom, Martin (et al.)

    Pages 17-45

  • The Evaluation of Value Chain Marketing Strategies: An Agent-Based Approach

    Hintze, Stephanie (et al.)

    Pages 47-72

  • Micro Strategies and Macro Patterns in the Evolution of Innovation Networks: An Agent-Based Simulation Approach

    Müller, Matthias (et al.)

    Pages 73-95

  • Simulating the Effects of Public Funding on Research in Life Sciences: Direct Research Funds Versus Tax Incentives

    Korber, Manuela (et al.)

    Pages 99-130

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-3-662-43508-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-3-662-43507-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • ISBN 978-3-662-51148-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Simulating Knowledge Dynamics in Innovation Networks
Editors
  • Nigel Gilbert
  • Petra Ahrweiler
  • Andreas Pyka
Series Title
Understanding Complex Systems
Copyright
2014
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-662-43508-3
DOI
10.1007/978-3-662-43508-3
Hardcover ISBN
978-3-662-43507-6
Softcover ISBN
978-3-662-51148-0
Series ISSN
1860-0832
Edition Number
1
Number of Pages
XII, 248
Number of Illustrations and Tables
34 b/w illustrations, 37 illustrations in colour
Topics