Clusters, networks, and innovation:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Oxford
Oxford Univ. Press
2005
|
| Ausgabe: | 1. publ. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXIV, 499 S. |
| ISBN: | 0199275556 9780199275557 |
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Datensatz im Suchindex
| _version_ | 1804134556228386816 |
|---|---|
| adam_text | Contents
Acknowledgements v
Notes on Contributors xii
List of Figures xxii
List of Tables xxiii
1. Clusters, Networks, and Innovation: Research
Results and New Directions
Stefano Breschi and Franco Malerba 1
1.1 Clusters and Innovation: The Main Conceptual Traditions 1
1.2 The Main Themes: A Guide to This Volume 5
1.3 Some Broad Lessons and New Research Directions
on Clusters, Networks, and Innovation 22
References 25
Parti
2. Network models of innovation and knowledge diffusion
Robin Cowan 29
Introduction 29
2.1 Knowledge Distribution 30
2.2 Behind the Current Interest in Networks 31
2.3 The Economics of Networks 34
2.4 Small Worlds and Innovation 37
2.5 Network Formation 43
2.6 Conclusions 48
Notes 49
References 50
3. On Sectoral Specificities in the Geography of Corporate Location 54
Giulio Botta^pj, Giovanni Dosi and Giorgio Fagiolo
3.1 Introduction 54
3.2 The Interactions Between Geographical and
Industrial Characteristics as Drivers of Agglomeration
and Dispersion: The General Picture 55
3.3 The Model 58
3.4 Agglomeration Economies and Industrial Sectors:
An Application to Italian Data 61
3.5 Conclusions 69
Acknowledgements 70
Notes 71
viii CONTENTS
References 72
Appendices 74
4. Regional Knowledge Capabilities and Open Innovation:
Regional Innovation Systems and Clusters in the
Asymmetric Knowledge Economy 80
Philip Cooke
4.1 Introduction 80
4.2 Lineaments of Regional Systems — Thinking
about Innovation 81
4.3 The Conceptual System and the Real system 87
4.4 Regional knowledge Capabilities, Asymmetric
Knowledge and Open Innovation: New Challenges
for Regional Innovation Systems and Clusters 92
4.5 Problems with Public Regional Innovation Systems 99
4.6 Conclusions 103
Notes 104
References 106
Part II
5. Old Economy Inputs for New Economy Outcomes:
Cluster Formation in the New Silicon Valleys
Timothy Bnsnahan, Alfonso Gambardella and AnnaLee Saxenian 113
5.1 Introduction 113
5.2 Agglomeration Economies and External Effects 115
5.3 Starting a Cluster 117
5.4 No Recipes but Some Deep Regularities 121
5.5 Co operation vs. Competition among Clusters in
the World Economy 127
5.6 Policy Issues and Conclusions 130
Acknowledgements 133
Notes 133
References 134
6. The Entrepreneurial Event Revisited: Firm Formation in
a Regional Context
Maryann P. Feldman 136
6.1 Introduction 136
6.2 Entrepreneurial Environments 138
6.3 Entrepreneurship Comes to Washington: An
Interpretative History 142
6.4 Supportive Conditions Follow 156
6.5 Reflective Conclusions and Appreciative Theorizing 160
Acknowledgements 163
CONTENTS ix
Notes 164
References 165
7. The Firms That Feed Industrial Districts: A Return
to The Italian Source
Mark H. La^erson and Gianni Lonnspni 169
7.1 Introduction 169
7.2 What is an Industrial District? 172
7.3 Origins of Industrial Districts 173
7.4 Small Firms 174
7.5 The Boundaries of die District 176
7.6 The Cultural Homogeneity of the District 179
7.7 Community and Co operation 180
7.8 Local and Distant Networks 181
7.9 Confronting Crisis in an Iindustrial District:
The Case of Prato 183
7.10 Governance Mechanisms 186
7.11 Discussion 189
Notes 191
References 192
8. Employee Start Ups in High Tech Industries
Steven Klepper 199
8.1 Introduction 199
8.2 Theoretical Perspectives 200
8.3 The Evidence 211
8.4 Interpretations and Implications 218
8.5 Conclusion 227
Acknowledgements 228
Notes 228
References 229
Part III
9. The Silicon Valley Hsinchu Connection: Technical
Communities and Industrial Upgrading
AnnaLee Saxenian andJinn Yub Hsu 235
9.1 Introduction 235
9.2 Technical Communities and Industrial Decentralization 240
9.3 The Construction of a Taiwanese Technical
Community in Silicon Valley 242
9.4 Institutionalizing the Silicon Valley Hsinchu Connection 245
9.5 Cross Regional Collaborations and Industrial Upgrading 250
9.6 Concluding Comments 254
Acknowledgement 256
X CONTENTS
Notes 256
References 257
Appendix. The Silicon Valley Hsinchu Technical Community 259
10. The Institutional Embeddedness of High Tech Regions:
Relational Foundations of the Boston Biotechnology Community
Ke/ley Porter, Kjersten Bunker Whittington and Walter W. Powell 261
10.1 Introduction 261
10.2 Tracing Technology Networks 263
10.3 Visualizations of the Networks 267
10.4 Comparisons Across Networks 283
10.5 Implications for High Tech Regions 286
Notes 289
References 291
Appendix I: Abbreviations of Names in Network Images 294
11. Social Networks and the Persistence of Clusters:
Evidence from the Computer Workstation Industry
Olav Sorenson 297
11.1 Social Networks and Industrial Geography 299
11.2 Computer Workstation Manufacturers 304
11.3 Discussion 312
References 314
PartlV
12. Buzz: Face to Face Contact and the Urban Economy
Michael Storper and Anthony J. Venables 319
12.1 Face to Face Contact Remains Important 319
12.2 The Specific Properties of Face to Face Contact 321
12.3 Why People Engage in F2F contact: Two Models 326
12.4 F2F, Buzz, and the Co ordination of Economic Activities 334
12.5 The Future of F2F Contact and Co location 337
Acknowledgements 338
Notes 339
References 339
Appendix 12.1 341
Appendix 12.2 342
13. The Geography of Knowledge Spillovers: Conceptual
Issues and Measurement Problems
Stefano Breschi, Francesco Ussoni and Fabio Montobbio 343
13.1 Introduction 343
13.2 Knowledge Spillovers: Logical Shortcomings and
Empirical Traps 344
CONTENTS Xi
13.3 Tacitness Reconsidered: How Knowledge may Flow,
and yet not Spill Over 355
13.4 Direct Measurement of Knowledge Flows 360
13.5 Conclusions 366
Notes 367
References 371
14. Comparative Localization of Academic and Industrial Spillovers
James D. Adams 379
14.1 Introduction 379
14.2 Review of the Localization Literature 380
14.3 Description of the Data 383
14.4 Descriptive Findings on Localization 389
14.5 Localized Learning and Innovation 395
14.6 Discussion and Conclusion 400
Acknowledgements 403
Notes 403
References 406
PartV
15. Towards a Knowledge Based Theory of the Geographical Cluster
Peter Maskell 411
15.1 Introduction 411
15.2 The Existence of the Cluster 413
15.3 The Horizontal Dimension of the Cluster 416
15.4 The Vertical Dimension of the Cluster 418
15.5 The Boundaries of the Cluster 420
15.6 Public Policy Options 421
15.7 Final Comments 423
Notes 424
References 426
16. Deconstructing Clusters: Chaotic Concept or Policy Panacea?
Ron Martin and Peter Sunley 433
16.1 Introduction: Clusters and the Reassertion of Location 433
16.2 Why Clusters ? 435
16.3 A Chaotic Concept? 438
16.4 What Sort of Theory for What Sort of Cluster? 443
16.5 Selective Empirics and the Cluster Creation Game 449
16.6 Cluster Policy: Hard Targets or Fashion Labels? 454
16.7 Conclusions: The Cluster Brand? 461
Acknowledgements 463
References 463
List of Figures
2.1 Transition from a locally ordered structure to a
random graph, dependent onp 36
2.2 Cliquishness and path length as determined by
network structure 37
3.1 Frequency distributions of MAX, MIN, RANGE
and STANDARD DEVIATION Statistics 56
3.2 Number of business units vs. total number of BUs 65
3.3 Observed vs. theoretical frequencies of BUs in LSLM 67
4.1 Characterization of successful and potentially
successful knowledge clusters 93
6.1 Value of venture capital investments in the region 156
6.2 Capitol area venture capital as a percentage of
US investments 157
9.1 The world market share of Taiwan s IT hardware
products, 1997 1999 236
9.2 Yearly production value of Taiwan s IT hardware,
1981 1998 237
9.3 Patents per capita for Taiwan, the NICs and Israel 238
9.4 The structure of Taiwan s IC industry
(no. of establishments) 241
9.5 Returnees to Taiwan from the US, 1970 1997 246
10.1 Boston contractual network, 1988 269
10.2 Boston contractual network, 1998 271
10.3 Founder affiliation network, 1983 273
10.4 Founder affiliation network, 1997 274
10.5 Founder affiliation network, only nodes with
two or more links 1978 2003 275
10.6 SAB affiliation network, 1984 277
10.7 SAB affiliation network, 1997 278
10.8 SAB affiliation network, only nodes with
three or more links 1978 2003 280
10.9 Boston patent co inventor network, 1976 1998 282
10.10 Betweenness centrality distribution of the patent
co inventor network, 1976 1998 284
11.1 Distribution of workstation manufacturers in 1984 306
11.2 Distribution of workstation manufacturers in 1996 306
12.1 Equilibria in a game of information acquisition and sharing 328
16.1 Porter s competitive diamond of local industrial clustering 436
Ust of Tables
3.1 The statistical classification of the considered sectors 62
3.2 Predicted agglomeration parameters 67
3.3 Tail probabilities for the chi square test
between ^ (7J) and tym(y*m) 68
3.4 Tail probabilities for the chi square
test i| ,Cy*) and iKnCvt) 68
4.2 Conditions for higher and lower regional innovation
systems potential 96
6.1 Characteristics of entrepreneurial places 138
6.2 Origins of bioscience companies in the region 144
6.3 Origins of ICT companies in the region 148
6.4 Federal procurement increased in the Capitol
region, 1983 1997 (real dollars in billions;
1982 1984 = 100) 152
6.5 Major US policy initiatives favoring science based
entrepreneurship 154
8.1 Predictions of the theories 208
11.1 Descriptive statistics for entry rate models 308
11.2 Negative binomial regression estimates of MSA entry rates 309
11.3 Descriptive statistics for exit rate models 311
11.4 Weibull estimates of firm exit rates 311
12.1 Face to face contact 322
12.2 Group formation: 7 = 0.8 333
12.3 Modes of co ordination (proximity requirement in italics) 336
14.1 Distribution of firms and R D laboratories by industry 384
14.2 Si2e characteristics of the R D laboratories
(standard deviations in parentheses) 385
14.3 Localization of learning expenditures on
industrial and academic research (in millions
of 1987 $) (standard deviations in parentheses) 390
14.4 Localization of federal R D in closely affiliated
universities (in millions of 1987 $) (standard
deviations in parentheses) 391
14.5 Distances between R D laboratories and closely
affiliated universities, by laboratory characteristics
(number of observations in brackets) 392
14.6 Comparative distances between R D laboratories
and closely affiliated universities and firms
(number of observations in brackets) 393
Xxiv LIST OF TABLES
14.7 Correlations between localization of laboratory
learning about academic research and channels
of interaction with universities 394
14.8 Correlations between localization of laboratory
learning about industrial research and channels
of interaction with other firms 394
14.9 Localization of learning about academic research
(asymptotic normal statistics in parentheses) 395
14.10 Localization of learning about industrial research
(asymptotic normal statistics in parentheses) 396
14.11 Laboratory innovation and localized learning
(asymptotic normal statistics in parentheses) 397
16.1 Clusters: the confusion of definitions 441
16.2 Varieties of cluster and the cluster measurement problem 450
16.3 Clusters have costs as well as benefits 459
|
| adam_txt |
Contents
Acknowledgements v
Notes on Contributors xii
List of Figures xxii
List of Tables xxiii
1. Clusters, Networks, and Innovation: Research
Results and New Directions
Stefano Breschi and Franco Malerba 1
1.1 Clusters and Innovation: The Main Conceptual Traditions 1
1.2 The Main Themes: A Guide to This Volume 5
1.3 Some Broad Lessons and New Research Directions
on Clusters, Networks, and Innovation 22
References 25
Parti
2. Network models of innovation and knowledge diffusion
Robin Cowan 29
Introduction 29
2.1 Knowledge Distribution 30
2.2 Behind the Current Interest in Networks 31
2.3 The Economics of Networks 34
2.4 Small Worlds and Innovation 37
2.5 Network Formation 43
2.6 Conclusions 48
Notes 49
References 50
3. On Sectoral Specificities in the Geography of Corporate Location 54
Giulio Botta^pj, Giovanni Dosi and Giorgio Fagiolo
3.1 Introduction 54
3.2 The Interactions Between Geographical and
Industrial Characteristics as Drivers of Agglomeration
and Dispersion: The General Picture 55
3.3 The Model 58
3.4 Agglomeration Economies and Industrial Sectors:
An Application to Italian Data 61
3.5 Conclusions 69
Acknowledgements 70
Notes 71
viii CONTENTS
References 72
Appendices 74
4. Regional Knowledge Capabilities and Open Innovation:
Regional Innovation Systems and Clusters in the
Asymmetric Knowledge Economy 80
Philip Cooke
4.1 Introduction 80
4.2 Lineaments of Regional Systems — Thinking
about Innovation 81
4.3 The Conceptual System and the Real system 87
4.4 Regional knowledge Capabilities, Asymmetric
Knowledge and Open Innovation: New Challenges
for Regional Innovation Systems and Clusters 92
4.5 Problems with Public Regional Innovation Systems 99
4.6 Conclusions 103
Notes 104
References 106
Part II
5. 'Old Economy' Inputs for "New Economy' Outcomes:
Cluster Formation in the New Silicon Valleys
Timothy Bnsnahan, Alfonso Gambardella and AnnaLee Saxenian 113
5.1 Introduction 113
5.2 Agglomeration Economies and External Effects 115
5.3 Starting a Cluster 117
5.4 No 'Recipes' but Some Deep Regularities 121
5.5 Co operation vs. Competition among Clusters in
the World Economy 127
5.6 Policy Issues and Conclusions 130
Acknowledgements 133
Notes 133
References 134
6. The Entrepreneurial Event Revisited: Firm Formation in
a Regional Context
Maryann P. Feldman 136
6.1 Introduction 136
6.2 Entrepreneurial Environments 138
6.3 Entrepreneurship Comes to Washington: An
Interpretative History 142
6.4 Supportive Conditions Follow 156
6.5 Reflective Conclusions and Appreciative Theorizing 160
Acknowledgements 163
CONTENTS ix
Notes 164
References 165
7. The Firms That Feed Industrial Districts: A Return
to The Italian Source
Mark H. La^erson and Gianni Lonnspni 169
7.1 Introduction 169
7.2 What is an Industrial District? 172
7.3 Origins of Industrial Districts 173
7.4 Small Firms 174
7.5 The Boundaries of die District 176
7.6 The Cultural Homogeneity of the District 179
7.7 Community and Co operation 180
7.8 Local and Distant Networks 181
7.9 Confronting Crisis in an Iindustrial District:
The Case of Prato 183
7.10 Governance Mechanisms 186
7.11 Discussion 189
Notes 191
References 192
8. Employee Start Ups in High Tech Industries
Steven Klepper 199
8.1 Introduction 199
8.2 Theoretical Perspectives 200
8.3 The Evidence 211
8.4 Interpretations and Implications 218
8.5 Conclusion 227
Acknowledgements 228
Notes 228
References 229
Part III
9. The Silicon Valley Hsinchu Connection: Technical
Communities and Industrial Upgrading
AnnaLee Saxenian andJinn Yub Hsu 235
9.1 Introduction 235
9.2 Technical Communities and Industrial Decentralization 240
9.3 The Construction of a Taiwanese Technical
Community in Silicon Valley 242
9.4 Institutionalizing the Silicon Valley Hsinchu Connection 245
9.5 Cross Regional Collaborations and Industrial Upgrading 250
9.6 Concluding Comments 254
Acknowledgement 256
X CONTENTS
Notes 256
References 257
Appendix. The Silicon Valley Hsinchu Technical Community 259
10. The Institutional Embeddedness of High Tech Regions:
Relational Foundations of the Boston Biotechnology Community
Ke/ley Porter, Kjersten Bunker Whittington and Walter W. Powell 261
10.1 Introduction 261
10.2 Tracing Technology Networks 263
10.3 Visualizations of the Networks 267
10.4 Comparisons Across Networks 283
10.5 Implications for High Tech Regions 286
Notes 289
References 291
Appendix I: Abbreviations of Names in Network Images 294
11. Social Networks and the Persistence of Clusters:
Evidence from the Computer Workstation Industry
Olav Sorenson 297
11.1 Social Networks and Industrial Geography 299
11.2 Computer Workstation Manufacturers 304
11.3 Discussion 312
References 314
PartlV
12. Buzz: Face to Face Contact and the Urban Economy
Michael Storper and Anthony J. Venables 319
12.1 Face to Face Contact Remains Important 319
12.2 The Specific Properties of Face to Face Contact 321
12.3 Why People Engage in F2F contact: Two Models 326
12.4 F2F, Buzz, and the Co ordination of Economic Activities 334
12.5 The Future of F2F Contact and Co location 337
Acknowledgements 338
Notes 339
References 339
Appendix 12.1 341
Appendix 12.2 342
13. The Geography of Knowledge Spillovers: Conceptual
Issues and Measurement Problems
Stefano Breschi, Francesco Ussoni and Fabio Montobbio 343
13.1 Introduction 343
13.2 Knowledge Spillovers: Logical Shortcomings and
Empirical Traps 344
CONTENTS Xi
13.3 Tacitness Reconsidered: How Knowledge may Flow,
and yet not Spill Over 355
13.4 Direct Measurement of Knowledge Flows 360
13.5 Conclusions 366
Notes 367
References 371
14. Comparative Localization of Academic and Industrial Spillovers
James D. Adams 379
14.1 Introduction 379
14.2 Review of the Localization Literature 380
14.3 Description of the Data 383
14.4 Descriptive Findings on Localization 389
14.5 Localized Learning and Innovation 395
14.6 Discussion and Conclusion 400
Acknowledgements 403
Notes 403
References 406
PartV
15. Towards a Knowledge Based Theory of the Geographical Cluster
Peter Maskell 411
15.1 Introduction 411
15.2 The Existence of the Cluster 413
15.3 The Horizontal Dimension of the Cluster 416
15.4 The Vertical Dimension of the Cluster 418
15.5 The Boundaries of the Cluster 420
15.6 Public Policy Options 421
15.7 Final Comments 423
Notes 424
References 426
16. Deconstructing Clusters: Chaotic Concept or Policy Panacea?
Ron Martin and Peter Sunley 433
16.1 Introduction: Clusters and the Reassertion of Location 433
16.2 Why'Clusters'? 435
16.3 A Chaotic Concept? 438
16.4 What Sort of Theory for What Sort of Cluster? 443
16.5 Selective Empirics and the Cluster Creation Game 449
16.6 Cluster Policy: Hard Targets or Fashion Labels? 454
16.7 Conclusions: The Cluster Brand? 461
Acknowledgements 463
References 463
List of Figures
2.1 Transition from a locally ordered structure to a
random graph, dependent onp 36
2.2 Cliquishness and path length as determined by
network structure 37
3.1 Frequency distributions of MAX, MIN, RANGE
and STANDARD DEVIATION Statistics 56
3.2 Number of business units vs. total number of BUs 65
3.3 Observed vs. theoretical frequencies of BUs in LSLM 67
4.1 Characterization of successful and potentially
successful knowledge clusters 93
6.1 Value of venture capital investments in the region 156
6.2 Capitol area venture capital as a percentage of
US investments 157
9.1 The world market share of Taiwan's IT hardware
products, 1997 1999 236
9.2 Yearly production value of Taiwan's IT hardware,
1981 1998 237
9.3 Patents per capita for Taiwan, the NICs and Israel 238
9.4 The structure of Taiwan's IC industry
(no. of establishments) 241
9.5 Returnees to Taiwan from the US, 1970 1997 246
10.1 Boston contractual network, 1988 269
10.2 Boston contractual network, 1998 271
10.3 Founder affiliation network, 1983 273
10.4 Founder affiliation network, 1997 274
10.5 Founder affiliation network, only nodes with
two or more links 1978 2003 275
10.6 SAB affiliation network, 1984 277
10.7 SAB affiliation network, 1997 278
10.8 SAB affiliation network, only nodes with
three or more links 1978 2003 280
10.9 Boston patent co inventor network, 1976 1998 282
10.10 Betweenness centrality distribution of the patent
co inventor network, 1976 1998 284
11.1 Distribution of workstation manufacturers in 1984 306
11.2 Distribution of workstation manufacturers in 1996 306
12.1 Equilibria in a game of information acquisition and sharing 328
16.1 Porter's 'competitive diamond' of local industrial clustering 436
Ust of Tables
3.1 The statistical classification of the considered sectors 62
3.2 'Predicted' agglomeration parameters 67
3.3 Tail probabilities for the chi square test
between ^ (7J) and tym(y*m) 68
3.4 Tail probabilities for the chi square
test i| ,Cy*) and iKnCvt) 68
4.2 Conditions for higher and lower regional innovation
systems potential 96
6.1 Characteristics of entrepreneurial places 138
6.2 Origins of bioscience companies in the region 144
6.3 Origins of ICT companies in the region 148
6.4 Federal procurement increased in the Capitol
region, 1983 1997 (real dollars in billions;
1982 1984 = 100) 152
6.5 Major US policy initiatives favoring science based
entrepreneurship 154
8.1 Predictions of the theories 208
11.1 Descriptive statistics for entry rate models 308
11.2 Negative binomial regression estimates of MSA entry rates 309
11.3 Descriptive statistics for exit rate models 311
11.4 Weibull estimates of firm exit rates 311
12.1 Face to face contact 322
12.2 Group formation: 7 = 0.8 333
12.3 Modes of co ordination (proximity requirement in italics) 336
14.1 Distribution of firms and R D laboratories by industry 384
14.2 Si2e characteristics of the R D laboratories
(standard deviations in parentheses) 385
14.3 Localization of learning expenditures on
industrial and academic research (in millions
of 1987 \$) (standard deviations in parentheses) 390
14.4 Localization of federal R D in closely affiliated
universities (in millions of 1987 \$) (standard
deviations in parentheses) 391
14.5 Distances between R D laboratories and closely
affiliated universities, by laboratory characteristics
(number of observations in brackets) 392
14.6 Comparative distances between R D laboratories
and closely affiliated universities and firms
(number of observations in brackets) 393
Xxiv LIST OF TABLES
14.7 Correlations between localization of laboratory
learning about academic research and channels
of interaction with universities 394
14.8 Correlations between localization of laboratory
learning about industrial research and channels
of interaction with other firms 394
14.9 Localization of learning about academic research
(asymptotic normal statistics in parentheses) 395
14.10 Localization of learning about industrial research
(asymptotic normal statistics in parentheses) 396
14.11 Laboratory innovation and localized learning
(asymptotic normal statistics in parentheses) 397
16.1 Clusters: the confusion of definitions 441
16.2 Varieties of cluster and the cluster measurement problem 450
16.3 Clusters have costs as well as benefits 459 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| building | Verbundindex |
| bvnumber | BV020845734 |
| callnumber-first | H - Social Science |
| callnumber-label | HD69 |
| callnumber-raw | HD69.S8 |
| callnumber-search | HD69.S8 |
| callnumber-sort | HD 269 S8 |
| callnumber-subject | HD - Industries, Land Use, Labor |
| classification_rvk | QY 000 |
| ctrlnum | (OCoLC)59137994 (DE-599)BVBBV020845734 |
| dewey-full | 338.8/7 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 338 - Production |
| dewey-raw | 338.8/7 |
| dewey-search | 338.8/7 |
| dewey-sort | 3338.8 17 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| edition | 1. publ. |
| format | Book |
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| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV020845734 |
| illustrated | Not Illustrated |
| index_date | 2024-07-02T13:18:16Z |
| indexdate | 2024-07-09T20:26:29Z |
| institution | BVB |
| isbn | 0199275556 9780199275557 |
| language | English |
| lccn | 2005020567 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014167521 |
| oclc_num | 59137994 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-12 DE-1102 DE-1051 DE-1047 DE-188 |
| owner_facet | DE-355 DE-BY-UBR DE-12 DE-1102 DE-1051 DE-1047 DE-188 |
| physical | XXIV, 499 S. |
| publishDate | 2005 |
| publishDateSearch | 2005 |
| publishDateSort | 2005 |
| publisher | Oxford Univ. Press |
| record_format | marc |
| spelling | Clusters, networks, and innovation Breschi and Malerba [ed.] 1. publ. Oxford Oxford Univ. Press 2005 XXIV, 499 S. txt rdacontent n rdamedia nc rdacarrier Strategic alliances (Business) Technological innovations Industrial location Wissenschaftstransfer (DE-588)4207539-7 gnd rswk-swf Industrie (DE-588)4026779-9 gnd rswk-swf Strategische Allianz (DE-588)4274322-9 gnd rswk-swf Wissens- und Technologietransfer (DE-588)4125522-7 gnd rswk-swf Industrieforschung (DE-588)4026822-6 gnd rswk-swf Agglomeration Wirtschaft (DE-588)4471580-8 gnd rswk-swf Innovation (DE-588)4027089-0 gnd rswk-swf Standortpolitik (DE-588)4322381-3 gnd rswk-swf Cluster Wirtschaft (DE-588)7580116-4 gnd rswk-swf Standort (DE-588)4056923-8 gnd rswk-swf Technische Innovation (DE-588)4431027-4 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Cluster Wirtschaft (DE-588)7580116-4 s Strategische Allianz (DE-588)4274322-9 s Technische Innovation (DE-588)4431027-4 s Standort (DE-588)4056923-8 s Industrie (DE-588)4026779-9 s DE-604 Wissens- und Technologietransfer (DE-588)4125522-7 s Agglomeration Wirtschaft (DE-588)4471580-8 s Industrieforschung (DE-588)4026822-6 s Standortpolitik (DE-588)4322381-3 s DE-188 Innovation (DE-588)4027089-0 s 1\p DE-604 Wissenschaftstransfer (DE-588)4207539-7 s 2\p DE-604 Breschi, Stefano Sonstige oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014167521&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Clusters, networks, and innovation Strategic alliances (Business) Technological innovations Industrial location Wissenschaftstransfer (DE-588)4207539-7 gnd Industrie (DE-588)4026779-9 gnd Strategische Allianz (DE-588)4274322-9 gnd Wissens- und Technologietransfer (DE-588)4125522-7 gnd Industrieforschung (DE-588)4026822-6 gnd Agglomeration Wirtschaft (DE-588)4471580-8 gnd Innovation (DE-588)4027089-0 gnd Standortpolitik (DE-588)4322381-3 gnd Cluster Wirtschaft (DE-588)7580116-4 gnd Standort (DE-588)4056923-8 gnd Technische Innovation (DE-588)4431027-4 gnd |
| subject_GND | (DE-588)4207539-7 (DE-588)4026779-9 (DE-588)4274322-9 (DE-588)4125522-7 (DE-588)4026822-6 (DE-588)4471580-8 (DE-588)4027089-0 (DE-588)4322381-3 (DE-588)7580116-4 (DE-588)4056923-8 (DE-588)4431027-4 (DE-588)4143413-4 |
| title | Clusters, networks, and innovation |
| title_auth | Clusters, networks, and innovation |
| title_exact_search | Clusters, networks, and innovation |
| title_exact_search_txtP | Clusters, networks, and innovation |
| title_full | Clusters, networks, and innovation Breschi and Malerba [ed.] |
| title_fullStr | Clusters, networks, and innovation Breschi and Malerba [ed.] |
| title_full_unstemmed | Clusters, networks, and innovation Breschi and Malerba [ed.] |
| title_short | Clusters, networks, and innovation |
| title_sort | clusters networks and innovation |
| topic | Strategic alliances (Business) Technological innovations Industrial location Wissenschaftstransfer (DE-588)4207539-7 gnd Industrie (DE-588)4026779-9 gnd Strategische Allianz (DE-588)4274322-9 gnd Wissens- und Technologietransfer (DE-588)4125522-7 gnd Industrieforschung (DE-588)4026822-6 gnd Agglomeration Wirtschaft (DE-588)4471580-8 gnd Innovation (DE-588)4027089-0 gnd Standortpolitik (DE-588)4322381-3 gnd Cluster Wirtschaft (DE-588)7580116-4 gnd Standort (DE-588)4056923-8 gnd Technische Innovation (DE-588)4431027-4 gnd |
| topic_facet | Strategic alliances (Business) Technological innovations Industrial location Wissenschaftstransfer Industrie Strategische Allianz Wissens- und Technologietransfer Industrieforschung Agglomeration Wirtschaft Innovation Standortpolitik Cluster Wirtschaft Standort Technische Innovation Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014167521&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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