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Diffusing Software Product and Process Innovations

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Cover of 'Diffusing Software Product and Process Innovations'

Table of Contents

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    Book Overview
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    Chapter 1 Telling an Innovation Story
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    Chapter 2 A Web Innovations on Software Process-Center for Diffusing Techniques
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    Chapter 3 Diffusion and Adoption of IT Products and Processes in a Danish Bank
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    Chapter 4 The Phenomenon of Diffusion
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    Chapter 5 A Perspective of the Innovation-Diffusion Process from the Self-Organizing System
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    Chapter 6 The Illusion of Diffusion in Information Systems Research
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    Chapter 7 Understanding and Changing Software Organizations
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    Chapter 8 Diagnosing Diffusion Practices Within a Software Organization
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    Chapter 9 The Diffusion of Components
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    Chapter 10 Across the Divide: Two Organisations Form a Virtual Team and Codevelop a Product
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    Chapter 11 What’s Wrong with the Diffusion of Innovation Theory?
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    Chapter 12 Influences of Sources of Communication on Adoption of a Communication Technology
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    Chapter 13 Knowledge Creation in Improving a Software Organisation
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    Chapter 14 How To Live With Software Problems
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    Chapter 15 Introducing Concurrent Functional Programming in the Telecommunications Industry
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    Chapter 16 Change and Adaptive Behavior in Organizations
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    Chapter 17 In Search of an Efficient EDIcebreaker
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    Chapter 18 Process Definition in Web-Time
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    Chapter 19 Erratum to: Diffusing Software Product and Process Innovations
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Citations

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Title
Diffusing Software Product and Process Innovations
Published by
Springer US, April 2013
DOI 10.1007/978-0-387-35404-0
ISBNs
978-1-4757-4975-5, 978-0-387-35404-0
Editors

Ardis, Mark A., Marcolin, Barbara L.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Unknown 85 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 17%
Student > Ph. D. Student 14 16%
Student > Bachelor 7 8%
Student > Doctoral Student 6 7%
Lecturer > Senior Lecturer 5 6%
Other 12 14%
Unknown 27 31%
Readers by discipline Count As %
Business, Management and Accounting 21 24%
Computer Science 13 15%
Social Sciences 5 6%
Psychology 4 5%
Arts and Humanities 3 3%
Other 10 12%
Unknown 30 35%