Cybernetics and Systems Theory in Management: Tools, Views, and Advancements, 1st Edition

  • Published By:
  • ISBN-10: 1615206698
  • ISBN-13: 9781615206698
  • DDC: 658.001
  • Grade Level Range: College Freshman - College Senior
  • 345 Pages | eBook
  • Original Copyright 2009 | Published/Released June 2010
  • This publication's content originally published in print form: 2009

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Table of Contents

Front Cover.
Title Page.
Copyright Page.
Editorial Advisory Board.
List of Reviewers.
Table of Contents.
Detailed Table of Contents.
Foreword.
Preface.
1: Applications in Practice and Theory.
2: Emerging the Evolutionary Corporation in a Sustainable World: Toward a Theory Guided Field of Practice.
3: Leaders, Decisions, and the Neuro–Knowledge System.
4: Exploring the Implications of Complexity Thinking for the Management of Complex Organizations.
5: Decision Integrity and Second Order Cybernetics.
6: A New Approach to a Theory of Management: Manage the Real Complex System, Not its Model.
7: Research, Theory, and Metatheory.
8: Consortial Benchmarking: Applying an Innovative Industry–Academic Collaborative Case Study Approach in Systemic Management Research.
9: Systemic Paradoxes of Organizational Change: Implementing Advanced Manufacturing Technology.
10: Metatheorising Transformational Management: A Relational Approach.
11: The Structure of Theory and the Structure of Scientific Revolutions: What Constitutes an Advance in Theory?.
12: Cybernetics and Organizational Evaluation.
13: The Dynamic Usage of Models (DYSAM) as a Theoretically–Based Phenomenological Tool for Managing Complexity and as a Research Framework.
14: Knowledge Cybernetics: A Metaphor for Post–Normal Science.
15: Multiple Levels and New Perspectives.
16: The Arrival of the Fittest: Evolution of Novelty from a Cybernetic Perspective.
17: Co-Construction of Learning Objects: Management and Structure.
18: Metamodelling and Mathematics.
19: A System Approach to Describing, Analysing and Control of the Behaviour of Agents in MAS.
20: Identification and Response Prediction of Switching Dynamic Systems Using Interval Analysis.
21: Selection of the Best Subset of Variables in Regression and Time Series Models.
Compilation of References.
About the Contributors.
Index.