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Agent-Based Simulation of Organizational Behavior

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Cover of 'Agent-Based Simulation of Organizational Behavior'

Table of Contents

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    Book Overview
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    Chapter 1 Exploring the New Frontier: Computational Studies of Organizational Behavior
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    Chapter 2 Emergent Organizations
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    Chapter 3 Cognition Beyond the Body: Using ABM to Explore Cultural Ecosystems
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    Chapter 4 The Effects of Disorganization on Goals and Problem Solving
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    Chapter 5 Constructing Agent-Based Models of Organizational Routines
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    Chapter 6 CoopNet: A Social, P2P-Like Simulation Model to Explore Knowledge-Based Production Processes
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    Chapter 7 Conceptualizing and Modeling Multi-Level Organizational Co-evolution
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    Chapter 8 Exploring Aspects of Coordination by Mutual Adjustment in Fluid Teams: An Agent-Based Modeling Approach
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    Chapter 9 Boundary Conditions for the Emergence of “Docility” in Organizations: Agent-Based Model and Simulation
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    Chapter 10 Intervening via Chance-Seeking
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    Chapter 11 Exploring Social and Asocial Agency in Agent-Based Systems
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    Chapter 12 Towards Nonlocal Field-Like Social Interactions: Oscillating Agent Based Conceptual and Simulation Framework
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    Chapter 13 Analytical Approaches to Agent-Based Models
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    Chapter 14 Modeling Social Agency Using Diachronic Cognition: Learning from the Mafia
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    Chapter 15 Water Controversies Between Conflict and Cooperation: Agent-Based Models for Non-traditional Security
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    Chapter 16 Open Innovation Networks and the Role of Intermediaries: An Agent-Based Simulation
Attention for Chapter 7: Conceptualizing and Modeling Multi-Level Organizational Co-evolution
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Chapter title
Conceptualizing and Modeling Multi-Level Organizational Co-evolution
Chapter number 7
Book title
Agent-Based Simulation of Organizational Behavior
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-18153-0_7
Book ISBNs
978-3-31-918152-3, 978-3-31-918153-0
Authors

Dermot Breslin, Daniela Romano, James Percival, Breslin, D, Romano, D, Percival, J, Breslin, Dermot, Romano, Daniela, Percival, James

Editors

Davide Secchi, Martin Neumann

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Student > Master 2 20%
Student > Doctoral Student 1 10%
Other 1 10%
Researcher 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Business, Management and Accounting 2 20%
Linguistics 1 10%
Computer Science 1 10%
Engineering 1 10%
Unknown 5 50%