Knowledge, Complexity and Innovation Systems

✍ Scribed by Manfred M. Fischer, Josef Fröhlich (auth.), Professor Dr. Manfred M. Fischer, Dr. Josef Fröhlich (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2001
• Tongue: English
• Leaves: 482
• Series: Advances in Spatial Science
• Edition: 1
• Category: Library

✦ Synopsis

In recent years there has been growing scientific interest in the triangular relationship between knowledge. complexity and innovation systems. The concept of'innovation systems' carries the idea that innovations do not originate as isolated discrete phenomena, but are generated through the interaction of a number of actors or agents. This set of actors and interactions possess certain specific characteristics that tend to remain over time. Such characteristics are also shared by national, regional, sectoral and technological interaction systems. They can all be represented as sets of [institutional] actors and interactions, whose ultimate goal is the production and diffusion of knowledge. The major theoretical and policy problem posed by these systems is that knowledge is generated not only by individuals and organisations, but also by the often complex pattern of interaction between them. To understand how organisations create new products, new production techniques and new organisational forms is important. An even more fundamental need is to understand how organisations create new knowledge if this knowledge creation lies in the mobilisation and conversion of tacit knowledge. Although much has been written about the importance of knowledge in management, little attention has been paid to how knowledge is created and how the knowledge­ creation process is managed. The third component of the research triangle concerns complexity.

✦ Table of Contents

Front Matter....Pages i-xii
Knowledge, Complexity and Innovation Systems: Prologue....Pages 1-17
Front Matter....Pages 19-19
Networks, National Innovation Systems and Self-Organisation....Pages 21-45
Innovation Policy in the Systems of Innovation Approach: Some Basic Principles....Pages 46-57
The Globalisation of Technology and the European Innovation System....Pages 58-75
Front Matter....Pages 77-77
Scaling Knowledge Production: How Significant is the Region?....Pages 79-100
Knowledge Spillovers in a Spatial Context — A Critical Review and Assessment....Pages 101-123
The Role of Space in the Creation of Knowledge in Austria. An Exploratory Spatial Data Analysis....Pages 124-145
Knowledge Spillovers in High Technology Agglomerations: Measurement and Modelling....Pages 146-161
Front Matter....Pages 163-163
Inventive Knowledge and the Sources of New Technology: Regional Changes in Innovative Capacity in the United States....Pages 165-180
Urban Innovation and Collective Learning: Theory and Evidence from Five Metropolitan Cities in Europe....Pages 181-208
Distributed Knowledge in Complex Engineering Project Networks: Implications for Regional Innovation Systems....Pages 209-227
Endogenous Technological Change, Entrepreneurship and Regional Growth....Pages 228-247
Front Matter....Pages 249-249
Modelling of Knowledge, Capital Formation, and Innovation Behaviour within Micro-Based Profit Oriented and Correlated Decision Processes....Pages 251-274
Communication and Self-Organisation in Complex Systems: A Basic Approach....Pages 275-296
Agents, Interactions, and Co-Evolutionary Learning....Pages 297-316
Major Actors in the Innovation Diffusion Process....Pages 317-341
Front Matter....Pages 343-343
Options, Innovation and Metropolitan Development: Novel Insights from Non-Linear Dynamics....Pages 345-368
Spatial Dynamics and Government Policy: An Artificial Intelligence Approach to Comparing Complex Systems....Pages 369-401
Does R&D Infrastructure Attract High-Tech Start-Ups?....Pages 402-421
Back Matter....Pages 423-482

✦ Subjects

Regional/Spatial Science; Geography (general); Simulation and Modeling; Innovation/Technology Management; R & D/Technology Policy; Social Sciences, general