The SAGE Handbook of Complexity and Management

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SAGE Publications, 6 abr 2011 - 644 páginas
The SAGE Handbook of Complexity and Management will be the first substantive scholarly work to provide a map of the state of art research in the growing field emerging at the intersection of complexity science and management studies. Edited and written by internationally respected scholars from management and related disciplines, the Handbook will be the definitive reference source for understanding the implications of complexity science for management research and practice.

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Introducing the SAGE Handbook
1
PART I Foundations
27
A Key Concepts
29
1Complexity and Systems Thinking
31
2 Complexity Science and Organization
53
3 Emergence in Complex Systems
65
4 Constructing and Appreciating Complexity
79
5 Thoughts on Complexity and Computational Models
93
18 Complexity and the Dynamics of Organizational Change
317
An Ecological Approach to LanguageBased Change in Organizations
333
Exploring the Joint Potential
349
A Pluralistic View
366
B Complexity and Managing
383
22 Implications of Complexity Science for the Study of Leadership
385
23 A Complexity Perspective on Strategic Human Resource Management
400
24 Complexity and the Rise of Distributed Control in Operations Management
418

B Epistemological Perspectives and Considerations
111
6 A Scientific Realist Epistemology for Complexity Science
113
7 Exploring Organizational Effectiveness
131
8 Complexity Poststructuralism and Organization
142
9 Causality and Explanation
155
The Importance of Uncertainty
164
Towards an Oblique Strategy for Dealing with the Complex
182
C Methodological Implications and Tools
199
12 Applications of Kauffmans Coevolutionary NKCS Model to Management and Organization Studies
201
13 Using Genetic Algorithms to Model Strategic Interactions
220
Insights from Action Research
235
15 From Skew Distributions to Powerlaw Science
254
PART II Applications
275
A Complexity and Organizing
277
Revisiting Ashbys Law of Requisite Variety
279
Classification and Computational Modelling
299
25 Knowledge Management and Complexity
436
26 Complexity and Innovation
454
27 Complexity Science Contributions to the Field of Entrepreneurship
471
28 Complexity and Competitive Advantage
494
29 Complexity Theory and Corporate Strategy
506
Complexity and the New Rules of Management
524
PART III Interfaces
541
31 Nonlinear Dynamical Systems Applications to Psychology and Management
543
Organizations as Adapting and Evolving Networks
557
33 The Use of Complexity for Policy Exploration
570
34 Complexity Habits and Evolution
590
35 Economics Management and Complex Systems
604
36 How Complexity Science is Transforming Healthcare
617
Author Index
636
Subject Index
641
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Sobre el autor (2011)

Peter Allen is Head of the Complex Systems Management Centre in the School of Management at Cranfield University, co-Editor- in-Chief of Emergence: Complexity and Organization, Director and Co-Founder of The Complexity Society. Professor Allen has worked for 25years on the mathematical modelling of change and innovation in urban, social, economic, financial and ecological systems, and the development of integrated systems models. He has written and edited several books and published well over 200 articles in a range of fields including ecology, social science, urban and regional science, economics, systems theory, and physics. Bill McKelvey received his Ph.D. from MIT in 1967 and is currently Professor of Strategic Organizing and Complexity Science at the UCLA. His book, Organizational Systematics (1982) remains the definitive treatment of organizational evolution and taxonomy. In 1997 he became Director of the Center for Rescuing Strategy and Organization Science (SOS). He was a founder of UCLA’s Center for Human Complex Systems & Computational Social Science. Recently McKelvey co-edited Variations in Organization Science (1999) and a special issue of the journal, Emergence. Forthcoming book is: Complexity Dynamics in Organizations: Applications of Order-Creation Science (Cambridge University Press). /span

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