0

Site Breadcrumb

Knowledge, Complexity and Innovation Systems

Title: Knowledge, Complexity and Innovation Systems
Author: Fischer, Josef, Manfred M.; Fröhlich
ISBN: 3540419691 / 9783540419693
Format: Hard Cover
Pages: 489
Publisher: Springer Verlag
Year: 2001
Availability: In Stock

Tab Article

The book addresses the relationship between knowledge, complexity and innovation systems. It integrates research findings from a broad area including economics, business studies, management studies, geography, mathematics and science & technology contributions from a wide range group of international experts. In particular, it offers insights about knowledge creation and spillovers, innovation and learning systems, innovation diffusion processes and innovation policies.The contributions provide an excellent coverage of current conceptual and theoretical developments and valuable insights from both empirical and conceptual work. The reader gets an overview about the state of the art of the role of innovation systems and knowledge creation and diffusion in geographical space.

Tab Article


Preface

Chapter 1. : Knowledge, Complexity and Innovation Systems: Prologue

Part A : Innovation Systems
Chapter 2. : Networks, National Innovation Systems and Self-Organisation
Chapter 3. : Innovation Policy in the Systems of Innovation Approach: Some Basic Principles
Chapter 4. : The Globalisation of Technology and the European Innovation System

Part B : Knowledge Creation and Spillovers
Chapter 5. : Scaling Knowledge Production: How Significant is the Region?
Chapter 6. : Knowledge Spillovers in a Spatial Context - A Critical Review and Assessment
Chapter 7. : The Role of Space in the Creation of Knowledge in Austria - An Exploratory Spatial Analysis
Chapter 8. : Knowledge Spillovers in High Technology Agglomerations: Measurement and Modelling

Part C : Innovation, Knowledge and Regional Development
Chapter 9. : Inventive Knowledge and the Sources of New Technology: Regional Changes in Innovative Capacity in the United States
Chapter 10. : Urban Innovation and Collective Learning: Theory and Evidence from Five Metropolitan Cities in Europe
Chapter 11. : Distributed Knowledge in Complex Engineering Project Networks: Implications for Regional Innovation Systems
Chapter 12. : Endogenous Technological Change, Entrepreneurship and Regional Growth

Part D : Modelling Complexities
Chapter 13. : Modelling of Knowledge, Capital Formation, and Innovation Behaviour within Micro-Based Profit Oriented and Correlated Decision Processes
Chapter 14. : Communication and Self-Organisation in Complex Systems: A Basic Approach
Chapter 15. : Agents, Interactions, and Co-Evolutionary Learning
Chapter 16. : Major Actors of Innovation Diffusion Process

Part E : Policy Issues
Chapter 17. : Options, Innovation and Metropolitan Development: Novel Insights from Non-Linear Dynamics
Chapter 18. : Spatial Dynamics and Government Policy: An Artificial Intelligence Approach to Comparing Complex Systems
Chapter 19. : Does R&D-Infrastructure Attract High-Tech Start-Ups?

References
List of Figures
List of Tables
Subject Index
Author Index
List of Contributors

 

Browse by subjects