Summary of The Biology of Business

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The Biology of Business book summary


6 Overall

4 Applicability

9 Innovation

6 Style


Like any compendium whose chapters were written by different experts, The Biology of Business has its ups and downs. As a collection of ten deeply informed essays on complexity theory management, its voices vary. But when you’re in the perilous business of trying to predict just where the cutting-edge of technology will cut next, is that really a bad thing? The diversity and scope - what is now fashionably called "bandwidth" - of this volume surely could not be matched by any single author’s work. As you read through topics as diverse as law, marketing, nurturing start-ups and the application of advanced biological concepts to management, you will indeed find yourself challenged to adapt. That’s as it should be. Reading this book may change the way you perceive your business. As the biological paradigm continues to spread through consultants’ minds like a complex adaptive mold spore, strongly recommends this sophisticated book to help you stay au currant.

In this summary, you will learn

  • How the processes of natural systems explain the workings of manmade systems;
  • The relevance of this parallel in terms of Complex Adaptive Systems; and
  • How change, such as new trends in information flow, affect your business.

About the Author

Editor John Henry Clippinger III, CEO of Lexeme, is considered a leading thinker on self-organizing systems. A former director of intellectual capital at Coopers & Lybrand, he lives in Cambridge, MA. Contributors to this volume include W. Brian Arthur of the Sante Fe Institute, William G. Macready, of the Business Innovation Center, Ernst & Young, David Stark of Columbia University and John Julius Sviokla, of Diamond Technology Partners.



Biology and Your Business
A new theoretical framework has emerged to help you understand the increasingly disruptive changes affecting your business. The framework relates to Complex Adaptive Systems (CAS), sometimes also referred to as Self-Organizing Systems. Artificial intelligence, ...

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