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Innovation Networks for Regional Development

Overview of attention for book
Cover of 'Innovation Networks for Regional Development'

Table of Contents

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    Book Overview
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    Chapter 1 Innovation Networks for Regional Development. Overview and Contributions
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    Chapter 2 The Evolution of Aerospace R&D Collaboration Networks on the European, National and Regional Levels
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    Chapter 3 The Knowledge-Base of the Stuttgart Automobile Industry and Its Outreach
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    Chapter 4 The Local Perspective on Energy Transition and Innovation
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    Chapter 5 A Process Model of Invention and the Role of Government, Institutions, and Geography. Anecdotal Evidence from the Aerospace Industry in the Years 1800–1950
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    Chapter 6 A Descriptive Statistics Exploration of Spatio-temporal Patterns in Inventive Activities in the Pharmaceutical Industry
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    Chapter 7 Knowledge Creation and Research Policy in Science-Based Industries: An Empirical Agent-Based Model
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    Chapter 8 Regional Innovation Systems: An Agent-Based Laboratory for Policy Advice
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    Chapter 9 Using Participatory Modeling to Enable Local Innovation Through Complexity Governance
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    Chapter 10 Regional Specialization and Knowledge Output: An Agent-Based Simulation of the Vienna Life Sciences
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    Chapter 11 Competition in the German Market for Retail Electricity: An Agent-Based Simulation
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    Chapter 12 Supraregional Relationships and Technology Development. A Spatial Agent-Based Model Study
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    Chapter 13 Innovation Networks to Cope with the Geographical Distribution of Technological Knowledge. An Empirically Calibrated Spatial Agent-Based Model Study
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3 tweeters

Citations

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2 Dimensions

Readers on

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30 Mendeley
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Title
Innovation Networks for Regional Development
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-43940-2
ISBNs
978-3-31-943939-6, 978-3-31-943940-2
Editors

Ben Vermeulen, Manfred Paier

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 33%
Student > Master 6 20%
Researcher 4 13%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Other 3 10%
Unknown 3 10%
Readers by discipline Count As %
Engineering 6 20%
Business, Management and Accounting 6 20%
Computer Science 5 17%
Social Sciences 2 7%
Economics, Econometrics and Finance 1 3%
Other 5 17%
Unknown 5 17%