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Collaborative Networks: Reference Modeling

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Cover of 'Collaborative Networks: Reference Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Overview
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    Chapter 2 Motivation for a theoretical foundation for collaborative networks
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    Chapter 3 Related work on reference modeling for collaborative networks
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    Chapter 4 Overview
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    Chapter 5 Reference modeling: Needs and basic terminology
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    Chapter 6 Collaboration forms
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    Chapter 7 The ARCON modeling framework
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    Chapter 8 ARCON reference models for collaborative networks
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    Chapter 9 A comprehensive semantic indexing schema for ARCON
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    Chapter 10 Further steps on CN reference modeling
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    Chapter 11 Overview
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    Chapter 12 A survey of modeling methods and tools
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    Chapter 13 A survey of soft modeling approaches for collaborative networks
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    Chapter 14 Overview
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    Chapter 15 A multi-model approach to analyze inter-organizational trust in VBEs
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    Chapter 16 Networked partner selection with robust portfolio modeling
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    Chapter 17 Modeling collaboration preparedness assessment
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    Chapter 18 A benefit analysis model for collaborative networks
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    Chapter 19 An approach in value systems modeling
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    Chapter 20 Selection of a virtual organization coordinator
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    Chapter 21 Modeling the value of expectations in collaborative networked organizations
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    Chapter 22 Prospective performance measurement in virtual organizations
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    Chapter 23 Erratum
Overall attention for this book and its chapters
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Mentioned by

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1 Wikipedia page

Citations

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135 Dimensions

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mendeley
155 Mendeley
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Title
Collaborative Networks: Reference Modeling
Published by
Springer US, May 2008
DOI 10.1007/978-0-387-79426-6
ISBNs
978-0-387-79425-9, 978-0-387-79426-6
Editors

Camarinha-Matos, Luis M., Afsarmanesh, Hamideh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
United States 3 2%
Brazil 3 2%
Italy 1 <1%
Vietnam 1 <1%
Spain 1 <1%
Sweden 1 <1%
Unknown 142 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 21%
Student > Master 28 18%
Student > Doctoral Student 15 10%
Researcher 12 8%
Lecturer 10 6%
Other 28 18%
Unknown 29 19%
Readers by discipline Count As %
Computer Science 35 23%
Business, Management and Accounting 34 22%
Engineering 26 17%
Social Sciences 9 6%
Economics, Econometrics and Finance 6 4%
Other 11 7%
Unknown 34 22%