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Measuring E-government Efficiency

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Cover of 'Measuring E-government Efficiency'

Table of Contents

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    Book Overview
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    Chapter 1 The Need for Analyzing e-Government Efficiency: An Introduction
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    Chapter 2 Systemic Patterns of Practice to Improve e-Government Evaluation
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    Chapter 3 How Open Are Public Government Data? An Assessment of Seven Open Data Portals
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    Chapter 4 Measuring Usability to Improve the Efficiency of Electronic Signature-Based e-Government Solutions
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    Chapter 5 Electronic Government Service Efficiency: How to Measure Efficiency of Electronic Services
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    Chapter 6 Generic Mechanisms Influencing e-Initiative Adoptions: Perceptions of Key Actors
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    Chapter 7 Measuring e-Government Efficiency from the Perspective of Implementers: The Case of e-Budgeting in Mexico
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    Chapter 8 Public Managers’ Perceptions of e-Government Efficiency: A Case Study of Andalusian Municipalities
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    Chapter 9 The Use of Social Media in the Public Sector: Some Lessons from the Netherlands
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    Chapter 10 Managing e-Government: Stakeholder View from the Administration Service Developers
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    Chapter 11 Manchester as a Digital Powerhouse: Governing the ICT-Related Developments
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    Chapter 12 Analyzing the Digital Divide and Electronic Government Demand: An Empirical Research of the Spanish Case
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    Chapter 13 A Quantitative Analysis on the Opinions of Different Stakeholder Groups in Turkish e-Government Transformation
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    Chapter 14 Perceptions About the Effectiveness of E-Participation: A Multistakeholder Perspective
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    Chapter 15 Conclusion
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Measuring E-government Efficiency
Published by
Springer New York, March 2014
DOI 10.1007/978-1-4614-9982-4
978-1-4614-9981-7, 978-1-4614-9982-4

Rodríguez-Bolívar, Manuel Pedro

Twitter Demographics

The data shown below were collected from the profiles of 6 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 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 1%
Mexico 1 <1%
United Kingdom 1 <1%
Unknown 180 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 27%
Student > Master 30 16%
Researcher 21 11%
Student > Doctoral Student 20 11%
Professor > Associate Professor 11 6%
Other 32 17%
Unknown 21 11%
Readers by discipline Count As %
Computer Science 55 30%
Social Sciences 51 28%
Business, Management and Accounting 31 17%
Arts and Humanities 4 2%
Economics, Econometrics and Finance 4 2%
Other 11 6%
Unknown 28 15%