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Critical Infrastructures, Key Resources, Key Assets

Overview of attention for book
Cover of 'Critical Infrastructures, Key Resources, Key Assets'

Table of Contents

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    Book Overview
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    Chapter 1 Critical Infrastructures, Key Resources, and Key Assets
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    Chapter 2 Governance Vulnerability Facets
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    Chapter 3 A Physical Analogy for Resilience and Vulnerability
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    Chapter 4 System of Systems Governance
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    Chapter 5 Use of Cellular Automata in Assessment of Risk and Vulnerability
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    Chapter 6 Nuclear Reactors Vulnerability Assessment—A Generic Model
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    Chapter 7 Emerging Space Treats and Satellites
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    Chapter 8 Managerial Vulnerability Assessment Models
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    Chapter 9 Airborne Emissions and Territorial Vulnerability Assessment
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    Chapter 10 System Resilience Governance
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    Chapter 11 Dynamic Capability Model
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    Chapter 12 Processing Switzerland
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    Chapter 13 Vulnerability Analysis and Swiss Reduction—Building a Framework for Ranking Solutions
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    Chapter 14 The Case for Sihl Dam
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    Chapter 15 Urban Area Vulnerability Assessment: Cellular Automaton Approach to Airflow Dispersion in Complex Terrains
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    Chapter 16 Vulnerability of a Regional Economy in a Global Competition
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    Chapter 17 The Postface—Toward Space, Undersea, and Belowground Governance
Attention for Chapter 8: Managerial Vulnerability Assessment Models
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Citations

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Summary Dimensions citations
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Chapter title
Managerial Vulnerability Assessment Models
Chapter number 8
Book title
Critical Infrastructures, Key Resources, Key Assets
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-69224-1_8
Book ISBNs
978-3-31-969223-4, 978-3-31-969224-1
Authors

Adrian V. Gheorghe, Dan V. Vamanu, Polinpapilinho F. Katina, Roland Pulfer

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Lecturer 1 17%
Student > Postgraduate 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Engineering 2 33%
Business, Management and Accounting 1 17%
Unknown 3 50%

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