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Electronic Participation

Overview of attention for book
Cover of 'Electronic Participation'

Table of Contents

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    Book Overview
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    Chapter 1 An Attempt to Build an eParticipation Program from Scratch: The Case of a District Municipality
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    Chapter 2 Trust in Citizens and Forms of Political Participation: The View of Public Managers
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    Chapter 3 Investigation of Interoperability Governance: The Case of a Court Information System
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    Chapter 4 Making e-Government Work: Learning from the Netherlands and Estonia
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    Chapter 5 Theoretical Foundations for the Study of Social Innovation in the Public Sector
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    Chapter 6 Digital Transformation in the Context of the Open Government Partnership
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    Chapter 7 What to Be Disclosed? Attributes of Online Games for the Market Transparency Policy
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    Chapter 8 Analysing Legal Information Requirements for Public Policy Making
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    Chapter 9 Technology Mediated Citizenship: What Can We Learn from Library Practices
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    Chapter 10 eHealth in the Hood: Exploring Digital Participation in a Swedish Suburb
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    Chapter 11 “I’m Disabled and Married to a Foreign Single Mother”. Public Service Chatbot’s Advice on Citizens’ Complex Lives
Attention for Chapter 5: Theoretical Foundations for the Study of Social Innovation in the Public Sector
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Citations

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Readers on

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Summary Dimensions citations
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Chapter title
Theoretical Foundations for the Study of Social Innovation in the Public Sector
Chapter number 5
Book title
Electronic Participation
Published by
Springer, Cham, August 2020
DOI 10.1007/978-3-030-58141-1_5
Book ISBNs
978-3-03-058140-4, 978-3-03-058141-1
Authors

Thomas M. Vogl, Vogl, Thomas M.

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Student > Doctoral Student 7 11%
Student > Master 6 10%
Researcher 5 8%
Lecturer 2 3%
Other 9 14%
Unknown 24 38%
Readers by discipline Count As %
Social Sciences 9 14%
Business, Management and Accounting 9 14%
Computer Science 9 14%
Economics, Econometrics and Finance 2 3%
Decision Sciences 2 3%
Other 6 10%
Unknown 26 41%

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