rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Solving the Dynamic Complexity Dilemma
    sub title: Predictive and Prescriptive Business Management: Answering the Need for a New Paradigm
  name:
    name part: Abu el Ata, Nabil.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Perks, Maurice J.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXVI, 281 p. 92 illus., 6 illus. in color. online resource.
  abstract: 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 experienc…
  table of contents: Introducing and understanding the challenge -- Probability of uncertainty; Complexity Dynamics and how they can drag down the efficiency of a business -- Mathematics and Modeling -- Introduction to patterns, dynamic patterns and compound patterns -- Perturbation theory helps us -- Emulative deconstruction theory -- The components and characteristics of the solution -- Introduction to the WATCHWEB -- Proposed methodology for the WATCHWEB -- Conclusion.
  note: by Nabil Abu el Ata, Maurice J. Perks.
  subject:
    topic: Computer science
  subject:
    topic: Business mathematics
  subject:
    topic: Computers
  subject:
    topic: Architecture
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Assessment
  subject:
    topic: Computer Science
  subject:
    topic: Models and Principles
  subject:
    topic: Architecture, general
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Applications of Mathematics
  subject:
    topic: Assessment, Testing and Evaluation
  subject:
    topic: Business Mathematics
  classification: QA75.5-76.95
  classification: 005.743
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783642543104
  identifier: http://dx.doi.org/10.1007/978-3-642-54310-4
  record info:
    record creation date: 140812
    record change date: 20151204182105.0
    record identifier: 978-3-642-54310-4