Logo - springer
Slogan - springer

Computer Science - Information Systems and Applications | Solving the Dynamic Complexity Dilemma - Predictive and Prescriptive Business Management: Answering

Solving the Dynamic Complexity Dilemma

Predictive and Prescriptive Business Management: Answering the Need for a New Paradigm

Abu el Ata, Nabil, Perks, Maurice J.

2014, XXVI, 281 p. 92 illus., 6 illus. in color.

Available Formats:

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.


(net) price for USA

ISBN 978-3-642-54310-4

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase

learn more about Springer eBooks

add to marked items


Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.


(net) price for USA

ISBN 978-3-642-54309-8

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days

add to marked items

  • Enhances technology for dynamic complexity and business optimal control, allowing fast and reliable impact determination
  • Enables the reader to discover, evaluate, predict and manage the impact of dynamic complexity
  • Adds new dimension to risk management that deals with the change in behavior of cost, quality and efficiency

Dynamic complexity results from hidden, un­known factors—or more precisely, interactions between factors—that can unexpectedly im­pact the perfor­mance of systems. When the influences of dynamic complexity are not meas­ured and understood, new never-seen-before behaviors can come as unwelcomed surprises, which disrupt the performance of systems. Left alone, processes that were once prized for their effi­ciency unexpectedly begin to degrade—costs increase, while volumes and quality decline. Evidence of problems may come too late for effective resolution as technology advance­ments induce rapid change and compress the time available to react to that change. The results of dynamic complexity are always negative and unmanaged dynamic complexity can bring business or global systems to the point of sudden chaos. The 2009 H1N1 pandemic, 2008 Credit Crunch and 2011 Fukushima Daiichi nuclear disaster are global examples of the dangers of undiagnosed dynamic complexity.


With increasing frequency executive leaders today are discovering that their business and IT system performance levels are not meeting expectations. In most cases these performance deficiencies are caused by dynamic complexity, which lies hidden like a cancer until the symptoms reveal themselves—often when it is too late to avoid negative impacts on business outcomes. This book examines the growing business problem of dynamic complexity and presents a path to a practical solution. To achieve better predictability, organizations must be able to expose new, dangerous patterns of behavior in time to take corrective actions and know which actions will yield the optimal results. The book authors promote new methods of risk management that use data collection, analytics, machine learning and automation processes to help organizations more accurately predict the future and take strategic actions to improve performance outcomes. The presented means of achieving this goal are based upon the authors’ practical experiences, backed by scientific principles, and results achieved through consulting engagements with over 350 global organizations.

Content Level » Professional/practitioner

Keywords » Advanced Applied Mathematics - Business Performance - Complexity - Dynamic Complexity - Dynaxity - Optimal Business Control - Predictive Analytics

Related subjects » Applications - Computational Intelligence and Complexity - Education & Language - Information Systems and Applications

Table of contents / Preface / Sample pages 

Popular Content within this publication 



Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Models and Principles.