Knowledge, Complexity and Innovation Systems

الغلاف الأمامي
Manfred M. Fischer, Josef Fröhlich
Springer Science & Business Media, 20‏/06‏/2001 - 477 من الصفحات
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.

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Knowledge Complexity and Innovation Systems Prologue
1
Innovation Systems
19
Network National Innovation Systems and SelfOrganisation
21
22 Complexity and Evolutionary Theories
23
23 Implications of Evolutionary Theories for the NSI
31
24 Conclusions
43
Innovation Policy in the Systems of Innovation Approach Some Basic Principles
46
33 Objectives of Innovation Policy
47
115 Conclusions
223
Endogenous Technological Change Entrepreneurship and Regional Growth
228
122 Endogenous Technical Change
230
123 Entrepreneurial Discovery
233
124 Regional Growth
236
125 Theory and Empirical Results
242
126 Policy Implications
244
Modelling Complexities
249

35 The Role of Different Kinds of Innovation
48
36 Systems of Innovation
50
38 The SI Approach as a Framework for Designing Specific Innovation Policy
55
The Globalisation of Technology and the European Innovation System
58
42 The Globalisation of Technology
59
43 The Quantitative Significance of the Globalisation of Technology and the Position of Europe
61
44 Policy Analysis
68
45 Conclusions
74
Knowledge Creation and Spillovers
77
Scaling Knowledge Production How Significant is the Region?
79
52 The Region as a Natural and Unique Site of Knowledge Production
80
53 The Region as a System of Innovation
84
54 The Region as a Political Site of Knowledge Production
87
The Region as a Spatially Reified Site of Knowledge Production
91
56 The Region as a Socially Constructed Site of Knowledge Production
96
The Region as a Site of Policy Innovation
100
Knowledge Spillovers in a Spatial Context A Critical Review and Assessment
101
62 Knowledge in Economic Theory
103
63 Knowledge Spillovers A General Introduction
105
64 Knowledge Spillovers over the Industry LifeCycle
109
65 Knowledge Spillovers The Empirical Evidence
110
66 Knowledge Spillovers Towards a Formalisation
114
67 Knowledge Spillovers and Spatial Interaction
118
68 Modelling the Influence of Knowledge Spillovers
119
69 Technology Policy in a World with Knowledge Spillovers
121
The Role of Space in the Creation of Knowledge in Austria An Exploratory Spatial Data Analysis
124
72 Methodology and Data
125
73 TimeSpace Patterns of Knowledge Production in Austria
130
74 Local Inputs to Innovation An Assessment of Their Relative Significance in Knowledge Production
136
75 Conclusions
141
Knowledge Spillovers in High Technology Agglomerations Measurement and Modelling
146
82 CorePeriphery Spatial Models
148
83 Data and the Definition of High Technology
154
84 Statistical Results
155
85 Conclusions
158
Innovation Knowledge and Regional Development
163
Inventive Knowledge and the Sources of New Technology Regional Changes in Innovative Capacity in the United States
165
92 The Emergence of the Sunbelt
166
93 The Factors of Inversion
172
94 Conclusions
179
Urban Innovation and Collective Learning Theory and Evidence from Five Metropolitan Cities in Europe
181
102 Learning in Cities
182
103 Data Sample Characteristics and Methodology
188
104 Innovative Behaviour of Firms in Metropolitan Cities
191
105 The Determinants of Innovation in Cities
197
The Role of Firms Size and Sectoral Specialisation
199
107 Conclusions
203
Distributed Knowledge in Complex Engineering Project Networks Implications for Regional Innovation Systems
209
112 Complex Engineering Project Networks
211
113 Regional Innovation Systems and Project Value Systems
212
114 Case Studies
217
Modelling of Knowledge Capital Formation and Innovation Behaviour within MicroBased Profit Oriented and Correlated Decision Processes
251
132 Modelling Nested Innovation Processes
254
133 Simulations for Selected Examples and Scenarios
264
134 Conclusions
273
Communication and SelfOrganisation in Complex Systems A Basic Approach
275
142 Complex Systems and SelfOrganisation
276
143 Complex Versus Minimalistic Agents
278
144 An InformationTheoretic Approach
281
145 Basic Model of Communicating Agents
283
146 The MeanField Approach
286
147 Spatial Information Distribution
289
148 Conclusions
295
Agents Interactions and CoEvolutionary Learning
297
152 Schellings SelfOrganising Neighbourhoods
298
153 Simulation via Cellular Automata
302
154 Growing an Innovative Silicon Society
306
155 CoEvolutionary Learning
309
156 Discovering Artificial Economics
311
157 Some Final Thoughts
314
Major Actors in the Innovation Diffusion Process
317
162 Major Actors in the Innovation Diffusion Process
318
163 The First Principle of Individual Choice within the Collective
328
164 Innovators and Innovating Elites
332
165 Active Environment and SocioEcological Niches
335
166 Conclusions
340
Policy Issues
343
Options Innovation and Metropolitan Development Novel Insights from NonLinear Dynamics
345
172 Options and Metropolitan Development
347
173 Options and Their Prices
350
174 Derivatives Speculation and Development
356
175 Derivatives Market Failures and Regulation
361
176 Conclusions
367
Spatial Dynamics and Government Policy An Artificial Intelligence Approach to Comparing Complex Systems
369
182 Research Synthesis and MetaAnalysis
372
183 Rough Set Analysis as an Artificial Intelligence Tool for Research Synthesis
374
184 A Sample of Studies on Government and Growth
377
A Multilevel Strategy Learning Approach
379
186 Conclusions
390
Does RD Infrastructure Attract HighTech StartUps?
402
193 Definitions and Data
405
194 HighTech StartUps in Eastern Germany
406
195 Determinants for Regional Differences in the Number of HighTech StartUps
410
196 Conclusions and Policy Implications
419
References
423
List of Figures
455
List of Tables
457
Subject Index
459
Author Index
467
List of Contributors
475
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