Dynamics of organizations: computational modeling and organization theories

Contributor(s):

Material type: Text

TextPublication details: Menlo Park MIT Press 2001Description: xx, 502 pISBN:

9780262621526

Subject(s):

Organizational behavior - Mathematical models

DDC classification:

302.35 D9

Summary: An organization is more than the sum of its parts, and the individual components that function as a complex social system can be understood only by analyzing their collective behavior. This book shows how state-of-the-art simulation methods, including genetic algorithms, neural networks, and cellular automata, can be brought to bear on central problems of organizational theory related to the emergence, permanence, and dissolution of hierarchical macrostructures. The emphasis is on the application of a new generation of equation- and agent-based computational models that can help students of organizations to reformulate their basic research questions starting from assumptions about how to link—rather than separate—different levels of organizational analysis. (https://mitpress.mit.edu/books/dynamics-organizations)

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	Ahmedabad	Non-fiction	302.35 D9 (Browse shelf(Opens below))	Available		190812

Total holds: 0

Table of Contents:

PART ONE: Rediscovering Problems

01. Modeling Culture in Organizations: Formulation and Extension to Ecological Issues
02. Structural Change and Learning within Organizations
03. Dedicated Followers of Success: A Computational Model of Fashionable Innovation
04. Multi-Dimensional Status Competition and Group Performance
05. Advice, Trust and Gossip among Artificial Agents

PART TWO: Framing Arguments

06. Market Orientation and Monopoly Power
07. Simulating the Dynamics of Organizational Populations: A Comparison of Three Models of Organizational Entry, Exit and Growth
08. Viscosity Models and the Diffusion of Controversial Innovations
09. Failure as a Structural Concept: A Computational Perspective on Age Dependence in Organizational Mortality Rates

PART THREE: Taking Views

10. Evolving Information Processing Organizations
11. Modeling Adaptation on Rugged Landscapes
12. Product Diversification in a "History-friendly" Model of the Evolution of the Computer Industry
13. Understanding Dynamic Complexity in Organizational Evolution: A System Dynamics Approach
14. Nonmonotonicity in Theory Building with Applications to Organizational Mortality

An organization is more than the sum of its parts, and the individual components that function as a complex social system can be understood only by analyzing their collective behavior. This book shows how state-of-the-art simulation methods, including genetic algorithms, neural networks, and cellular automata, can be brought to bear on central problems of organizational theory related to the emergence, permanence, and dissolution of hierarchical macrostructures. The emphasis is on the application of a new generation of equation- and agent-based computational models that can help students of organizations to reformulate their basic research questions starting from assumptions about how to link—rather than separate—different levels of organizational analysis.

(https://mitpress.mit.edu/books/dynamics-organizations)

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