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Measuring E-government Efficiency

Overview of attention for book
Measuring E-government Efficiency
Springer New York

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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Citations

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Readers on

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Summary X Dimensions citations
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Title
Measuring E-government Efficiency
Published by
Springer New York, March 2014
DOI 10.1007/978-1-4614-9982-4
ISBNs
978-1-4614-9981-7, 978-1-4614-9982-4
Editors

Rodríguez-Bolívar, Manuel Pedro

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 260 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
Portugal 1 <1%
Unknown 258 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 21%
Student > Master 41 16%
Student > Doctoral Student 29 11%
Researcher 24 9%
Professor > Associate Professor 16 6%
Other 41 16%
Unknown 55 21%
Readers by discipline Count As %
Computer Science 64 25%
Social Sciences 60 23%
Business, Management and Accounting 46 18%
Decision Sciences 6 2%
Economics, Econometrics and Finance 5 2%
Other 14 5%
Unknown 65 25%

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