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Solving the Dynamic Complexity Dilemma

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Cover of 'Solving the Dynamic Complexity Dilemma'

Table of Contents

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    Book Overview
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    Chapter 1 The Growing Business Problem of Dynamic Complexity
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    Chapter 2 The Hidden Time Bomb Known as Dynamic Complexity
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    Chapter 3 The Challenge of Expecting the Unexpected
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    Chapter 4 Dynamic Complexity in Action
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    Chapter 5 Hide and Seek
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    Chapter 6 Predicting the Unexpected
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    Chapter 7 Gaining Perspective on Complexity
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    Chapter 8 The Wool, the Eyes and the Pulling-Over
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    Chapter 9 An Engineering and Re-engineering View
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    Chapter 10 How Dynamic Complexity Drags a Business Down
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    Chapter 11 How Do We Spot the Un-spottable?
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    Chapter 12 Predictive Modeling
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    Chapter 13 A Theory of Causal Deconstruction
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    Chapter 14 Causal Deconstruction: The Beautiful Problem Provides the Smart Solution
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    Chapter 15 A Mathematical Treatise of Dynamic Complexity
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    Chapter 16 Emulative Deconstruction for Mathematical Prediction
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    Chapter 17 Singularity and Chaos Theory
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    Chapter 18 Improving Business Outcomes with Optimal Business Control
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    Chapter 19 The Role of Business Architecture: A Case Study
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    Chapter 20 Strategic Transformation of Industries: Predictive Management of Postal Services Case Study
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    Chapter 21 Using Predictive Analytics to Mature IT Production
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    Chapter 22 Prescriptive Production: A Case Study
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    Chapter 23 The Economic Environment: A Prospective Case
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Title
Solving the Dynamic Complexity Dilemma
Published by
Springer Berlin Heidelberg, August 2014
DOI 10.1007/978-3-642-54310-4
ISBNs
978-3-64-254309-8, 978-3-64-254310-4
Authors

Abu el Ata, Nabil, Perks, Maurice J.

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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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 30%
Student > Doctoral Student 1 10%
Lecturer 1 10%
Student > Ph. D. Student 1 10%
Researcher 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Business, Management and Accounting 2 20%
Engineering 2 20%
Computer Science 2 20%
Nursing and Health Professions 1 10%
Unknown 3 30%