Dynamics of organizations: computational modeling and organization theories 

 - Menlo Park  MIT Press  2001 
 - xx, 502 p. 
<br/><br/>Table of Contents:<br/><br/>PART ONE: Rediscovering Problems<br/>	<br/>01.	Modeling Culture in Organizations: Formulation and Extension to Ecological Issues<br/>02.	Structural Change and Learning within Organizations<br/>03.	Dedicated Followers of Success: A Computational Model of Fashionable Innovation<br/>04.	Multi-Dimensional Status Competition and Group Performance<br/>05.	Advice, Trust and Gossip among Artificial Agents<br/><br/>PART TWO: Framing Arguments	<br/><br/>06.	Market Orientation and Monopoly Power<br/>07.	Simulating the Dynamics of Organizational Populations: A Comparison of Three Models of Organizational Entry, Exit and Growth<br/>08.	Viscosity Models and the Diffusion of Controversial Innovations<br/>09.	Failure as a Structural Concept: A Computational Perspective on Age Dependence in Organizational Mortality Rates<br/><br/>PART THREE: Taking Views	<br/><br/>10.	Evolving Information Processing Organizations<br/>11.	Modeling Adaptation on Rugged Landscapes<br/>12.	Product Diversification in a "History-friendly" Model of the Evolution of the Computer Industry<br/>13.	Understanding Dynamic Complexity in Organizational Evolution: A System Dynamics Approach<br/>14.	Nonmonotonicity in Theory Building with Applications to Organizational Mortality 
<br/><br/> 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.<br/><br/><br/>(https://mitpress.mit.edu/books/dynamics-organizations) 
<br/><br/><label>ISBN: </label>9780262621526 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Organizational behavior - Mathematical models
<br/><br/><label>Dewey Class. No.: </label>302.35  / D9