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Arbejds- & erhvervspsykologi

Managing Emergent Phenomena

Nonlinear Dynamics in Work Organizations

Udgivet af Taylor & Francis Ltd

Bogdetaljer

  • Hæftet
  • 406 sider
  • Engelsk
ISBN 9780415649889
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Chaos, catastrophe, self-organization, and complexity theories (nonlinear dynamics) now have practical and measurable roles in the functioning of work organizations. Managing Emergent Phenomena begins by describing how the concept of an organization has changed from a bureaucracy, to a humanistic and organic system, to…

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Bogdetaljer
Forlag Taylor & Francis Ltd
Kategori Arbejds- & erhvervspsykologi
ISBN-13 9780415649889
EAN 9780415649889
Format Hæftet
Sprog Engelsk
sider 406
Undertitel - Nonlinear Dynamics in Work Organizations
Produktbeskrivelse
Chaos, catastrophe, self-organization, and complexity theories (nonlinear dynamics) now have practical and measurable roles in the functioning of work organizations. 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. The dynamics concepts are then explained along with the most recent research methods for analyzing real data. 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. 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. Unusual concepts are also encountered, such as the organizational unconscious, collective intelligence, and the revolt of the slaved variables. 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.

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