G8 2001 302.3 5-dc21ġ Scenes From the Nonlinear House of Panic Chaotic behavior in systems-Mathematical models. Organizational behavior-Mathematical models. Psychology, Industrial-Mathematical models. Industrial management-Mathematical models. Includes bibliographical references and index. Managing emergent phenomena : nonlinear dynamics in work organizations / Stephen J. Library of Congress Cataloging-in-Publication Data Guastello, Stephen J. Lawrence Erlbaum Associates, Inc., Publishers 10 Industrial Avenue Mahwah, New Jersey 07430 No part of this book may be reproduced in any form, by photostat, microfilm, retrieval system, or any other means, without prior written permission of the publisher.
“To purchase your own copy of this or any of Taylor & Francis or Routledge’s collection of thousands of eBooks please go to c 2002 by Lawrence Erlbaum Associates, Inc. This edition published in the Taylor & Francis e-Library, 2008. Senior Acquisitions Editor: Anne Duffy Editorial Assistant: Karen Wittig Cover Design: Kathryn Houghtaling Lacey Textbook Production Manager: Paul Smolenski Full-Service & Composition: TechBooks Text and Cover Printer: Edwards Brothers Incorporated LAWRENCE ERLBAUM ASSOCIATES, PUBLISHERS Mahwah, New Jersey London MANAGING EMERGENT PHENOMENA Nonlinear Dynamics in Work Organizations The net results are a new perspective on what is really important in organizational life, original insights on familiar experiences, and some clear signposts for the next generation of nonlinear social scientists. Unusual concepts are also encountered, such as the organizational unconscious, collective intelligence, and the revolt of the slaved variables. Each application begins with a tight summary of standard thinking on a subject, followed by the new insights that are afforded by nonlinear dynamics and the empirical data supporting those ideas. Applications include: work motivation, personnel selection and turnover, creative thinking by individuals and groups, the development of social networks, coordination in work groups, the emergence of leaders, work performance in organizational hierarchies, economic problems that are relevant to organizations, techniques for predicting the future, and emergency management. The dynamics concepts are then explained along with the most recent research methods for analyzing real data. Managing Emergent Phenomena begins by describing how the concept of an organization has changed from a bureaucracy, to a humanistic and organic system, to a complex adaptive system. Chaos, catastrophe, self-organization, and complexity theories (nonlinear dynamics) now have practical and measurable roles in the functioning of work organizations.
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