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Information Technology in Environmental Engineering

Overview of attention for book
Cover of 'Information Technology in Environmental Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Contribution of Mobile Phones to Township Livelihood Outcomes in the Western Cape Province of South Africa
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    Chapter 2 An Application to Support Sustainability Management in the Cuban Energy Sector
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    Chapter 3 A Framework for Environmental Management Information Systems in Higher Education
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    Chapter 4 Support for Improved Scrap Tire Re-use and Recycling Decisions
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    Chapter 5 Risk Profiling for Corporate Environmental Compliance Management
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    Chapter 6 Designing for Engagement: A Case Study of an ICT Solution for Citizen Complaints Management in Rural South Africa
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    Chapter 7 An Analysis of the Perceived Benefits and Drawbacks of Cloud ERP Systems: A South African Study
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    Chapter 8 Collaborative Network Platform Solution for Monitoring, Optimization, and Reporting of Environmental and Energy Performance of Data Center
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    Chapter 9 Using Social Media to Improve Environmental Awareness in Higher Education Institutions
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    Chapter 10 Sustainability Reporting by South African Higher Education Institutions
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    Chapter 11 A Living Lab for Optimising the Health, Socio-economic and Environmental Situation in El Salvador
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    Chapter 12 Modeling the Intention to Use Carbon Footprint Apps
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    Chapter 13 Mass Customization: Sustainability of a Computer-Based Manufacturing System
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Citations

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Title
Information Technology in Environmental Engineering
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-25153-0
ISBNs
978-3-31-925152-3, 978-3-31-925153-0
Editors

Jorge Marx Gómez, Brenda Scholtz

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Student > Postgraduate 3 27%
Student > Master 2 18%
Lecturer 1 9%
Student > Doctoral Student 1 9%
Other 1 9%
Readers by discipline Count As %
Computer Science 5 45%
Engineering 3 27%
Unspecified 2 18%
Business, Management and Accounting 1 9%