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Women Leaders in Chaotic Environments

Examinations of Leadership Using Complexity Theory

  • Şefika Şule Erçetin

Part of the Lecture Notes in Social Networks book series (LNSN)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Women Leaders Shape Past, Present and Future

  3. Issues in Women Leadership

  4. Epilogue

    1. Front Matter
      Pages 257-257
    2. Şefika Şule Erçetin
      Pages 259-269
  5. Back Matter
    Pages 271-274

About this book

Introduction

This book spotlights how women leaders behave in chaotic environments and features examples of women who have been key figures in determining complex socio-economic outcomes throughout history. Women leaders can be seen on many high- levels in the political arena, be they a prime minister, empress or opinion leader. From Kösem Sultan of the Ottoman Empire to Benazir Bhutto, women leaders have had an undeniable effect on modern history. Is it possible to understand the current role of women in politics in Turkey without the First Lady Emine Erdoğan?  Can we analyze Europe’s future without Angela Merkel? There are many different books about women leaders' biography or memoirs of persons who worked closely with them. However, until now, no in-depth scientific analysis of such women leaders with respect to chaos and complexity theory has been available. This work represents a unique and important step towards filling this gap in research, and includes an epilogue presenting women’s leadership model visualized by an eight-pointed star.

Keywords

Gender Differences in Leadership Styles Managing Chaos in World-affairs Statistical Analysis of Leadership Uncertainty and Leadership Women Leadership and Complexity

Editors and affiliations

  • Şefika Şule Erçetin
    • 1
  1. 1.International Science Association (ISCASS)Hacettepe UniversityAnkaraTurkey

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-44758-2
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-44756-8
  • Online ISBN 978-3-319-44758-2
  • Series Print ISSN 2190-5428
  • Series Online ISSN 2190-5436
  • Buy this book on publisher's site
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