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Catalyzing Development through ICT Adoption

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Cover of 'Catalyzing Development through ICT Adoption'

Table of Contents

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    Book Overview
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    Chapter 1 Information and Communication Technologies for Economic Development
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    Chapter 2 The Impact of ICTs on Women’s Economic Empowerment
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    Chapter 3 Big Data Analytics for ICT Monitoring and Development
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    Chapter 4 The Role of ICT Adoption in Curbing Corruption in Developing Countries
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    Chapter 5 Internet, Educational Disparities, and Economic Growth: Differences Between Low-Middle and High-Income Countries
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    Chapter 6 Strengthening the Public Sector Accounting Through ICT: The Experience of a Developing Country
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    Chapter 7 Potentials and Challenges of Using ICT for Climate Change Adaptation: A Study of Vulnerable Community in Riverine Islands of Bangladesh
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    Chapter 8 Evaluation of E-Infrastructure Deployment in OECD and MENA Countries
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    Chapter 9 Model for Constructing Institutional Framework for Scientific Knowledge Management Systems: Nigerian Institutional Repository Innovation Case Applicable to Developing Countries
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    Chapter 10 Linkages Between Formal Institutions, ICT Adoption, and Inclusive Human Development in Sub-Saharan Africa
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    Chapter 11 Inequalities in the Appropriation of Digital Spaces in Metropolitan Areas of Latin America
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    Chapter 12 Internet Use and Public Programs Participation: Evidence from Chile
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    Chapter 13 E-Commerce and Productivity: Evidence from Chile
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    Chapter 14 Assessing the Economic Potential of Big Data Industries
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    Chapter 15 Is ICT the Solution of the Problem for Estonia?
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Citations

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Title
Catalyzing Development through ICT Adoption
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-56523-1
ISBNs
978-3-31-956523-1, 978-3-31-956522-4
Editors

Harleen Kaur, Ewa Lechman, Adam Marszk

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 15%
Student > Master 10 14%
Student > Bachelor 9 13%
Researcher 8 11%
Lecturer 5 7%
Other 9 13%
Unknown 20 28%
Readers by discipline Count As %
Business, Management and Accounting 11 15%
Computer Science 10 14%
Economics, Econometrics and Finance 8 11%
Social Sciences 7 10%
Engineering 5 7%
Other 9 13%
Unknown 22 31%