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The Resource Agent-Based Simulation of Organizational Behavior : New Frontiers of Social Science Research

Agent-Based Simulation of Organizational Behavior : New Frontiers of Social Science Research

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Agent-Based Simulation of Organizational Behavior : New Frontiers of Social Science Research
Title
Agent-Based Simulation of Organizational Behavior
Title remainder
New Frontiers of Social Science Research
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Subject
Language
eng
Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Agent-Based Simulation of Organizational Behavior : New Frontiers of Social Science Research
Label
Agent-Based Simulation of Organizational Behavior : New Frontiers of Social Science Research
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=4085610
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Copyright
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Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface -- Contents -- 1 Exploring the New Frontier: Computational Studies of Organizational Behavior -- 1.1 A Misleading Divide: Cross-Disciplinary Fertilizationvs. Specialization -- 1.2 The Impact of Agent-Based Modeling for Studying Organizational Behavior -- 1.2.1 A Novel Approach: Interaction and Cognition -- 1.3 Overview of the Volume -- 1.4 Mapping the New Frontier -- 1.4.1 Building a Common Ground -- 1.4.2 Drawing the Map -- References -- Part I Perspectives -- 2 Emergent Organizations -- 2.1 Introduction -- 2.2 A Few ABMs in Organization Science -- 2.2.1 The GCM of Organizational Choice -- 2.2.2 Cellular Automata and the NK as Models of Organizational Interdependencies -- 2.2.3 ABMs of Agile Productive Plants -- 2.3 Concepts and Theories for New Applications -- 2.3.1 Unsupervised Neural Networks and Organizational Routines -- 2.3.2 Organizational Ecologies and Evolutionary Theory -- 2.4 Conclusions -- References -- 3 Cognition Beyond the Body: Using ABM to Explore Cultural Ecosystems -- 3.1 On the Outer Reaches of Science -- 3.2 Observing and Diachrony: A Challenge for Science -- 3.3 Towards a Sociocognitive View of Cognitive Science -- 3.4 Investigating Ecosystemically Embedded Agents -- 3.5 The Northern Cities Shift -- 3.6 Premature Theorization and Social Science -- 3.7 Modeling: Life and Cognition -- 3.8 Cognition Beyond the Body -- References -- Part II Modeling Organizational Behavior -- 4 The Effects of Disorganization on Goals and Problem Solving -- 4.1 Introduction -- 4.2 Theoretical Framework -- 4.2.1 Disorganization -- 4.2.2 Operationalizing the Concept -- 4.2.3 Goal Setting -- 4.3 The Model -- 4.3.1 Space and Agents -- 4.3.2 Movement -- 4.3.3 Decision Rules -- 4.3.4 Motivation -- 4.3.5 Testing -- 4.4 Findings -- 4.5 Discussion and Conclusions -- 4.5.1 Limitations and Prospects for Further Research -- 4.5.2 Conclusions
  • References -- 5 Constructing Agent-Based Models of Organizational Routines -- 5.1 Introduction -- 5.2 Conceptualizing Organizational Routines -- 5.3 Contemporary Agent-Based Models of Organizational Routines -- 5.3.1 Overview of Models -- 5.3.2 Comparison of Models -- 5.3.3 Reflections on Constructing Simulations of Organizational Routines -- 5.4 Conclusion -- 5.4.1 Limitations -- 5.4.2 Future Research -- References -- 6 CoopNet: A Social, P2P-Like Simulation Model to Explore Knowledge-Based Production Processes -- 6.1 Introduction -- 6.2 Hierarchy and Reciprocity -- 6.3 Computer Simulation Models as Theoretical Laboratories -- 6.4 Model -- 6.5 Individual Decision Making Algorithm -- 6.5.1 Play Phase -- 6.5.2 Rewire and Copy Phase -- 6.6 Human Resource Management Processes Algorithm -- 6.6.1 Reward Phase -- 6.6.2 Firing Phase -- 6.7 Experiments -- 6.7.1 Experimental Setup -- 6.7.2 Experimental Results -- 6.8 Discussion on Related Work and Contribution -- 6.9 Conclusions and Future Work -- References -- 7 Conceptualizing and Modeling Multi-Level Organizational Co-evolution -- 7.1 Introduction -- 7.2 Conceptualizing Organizational Co-evolution -- 7.2.1 From Entity to Practice: Implicationsfor the Conceptualization of Co-evolution -- 7.3 Modeling Organizational Co-evolution -- 7.4 Implications for Empirical Investigations -- 7.4.1 Model Inputs -- 7.4.2 Model Outputs and Validation -- 7.5 Conclusions -- References -- 8 Exploring Aspects of Coordination by Mutual Adjustment in Fluid Teams: An Agent-Based Modeling Approach -- 8.1 Introduction -- 8.2 Literature Review -- 8.2.1 Team Coordination Defined -- 8.2.2 How Teams Achieve Coordination -- 8.2.3 Antecedents to Team Coordination -- 8.2.4 Team Composition -- 8.2.5 Summarizing the Reviewed Literature -- 8.3 Methodological Issues -- 8.4 The Agent-Based Model of Team Coordination
  • 8.5 Experiments and Results -- 8.5.1 Homogenous Teams -- 8.5.2 Heterogeneous Teams -- 8.5.3 Summing Up the Results -- 8.6 Discussion and Conclusion -- 8.6.1 Managerial Implications -- 8.7 Limitations and Suggestions for Future Research -- References -- 9 Boundary Conditions for the Emergence of D̀̀ocility'' in Organizations: Agent-Based Model and Simulation -- 9.1 Introduction and Problem Statement -- 9.1.1 Rationale for the Study -- 9.1.1.1 Timeliness and Fitness -- 9.1.1.2 Distributed Processes -- 9.1.1.3 Not Just Altruism -- 9.1.1.4 Range -- 9.2 The Model: Agents and Docility -- 9.2.1 Types of Individuals -- 9.2.2 Costs of Prosocial Behavior -- 9.2.3 Range of Interaction -- 9.2.4 Impact of Docility -- 9.2.5 Adaptation -- 9.2.6 Procedural Note and Expected Outcomes -- 9.3 Results -- 9.3.1 Negative Docility Impact -- 9.3.2 Range and Cost -- 9.3.3 The Docility Effect -- 9.4 Implications and Conclusions -- 9.4.1 Ideas for Future Research and Concluding Remarks -- Appendix -- Impact = -0.1 -- Impact = 0.1 -- References -- Part III Philosophical and Methodological Perspectives -- 10 Intervening via Chance-Seeking -- 10.1 Introduction -- 10.2 Abduction and Intervention -- 10.2.1 Abduction and Hypothesis Generation -- 10.2.2 Intervention and Its Puzzles -- 10.2.3 Intervention and Its Logic -- 10.3 Intervention via Chance-Seeking -- 10.3.1 The Role of Chance Events -- 10.3.2 Environmental Unanticipatedness as a Resource for Action -- 10.3.3 Chance-Seeking as Tinkering with Chance Events -- 10.3.4 Chance-Seeking as a Phronetic Activity -- 10.4 Conclusions -- References -- 11 Exploring Social and Asocial Agency in Agent-Based Systems -- 11.1 Introduction -- 11.2 Varieties of Agent-Based Systems -- 11.3 Potentiality and Actuality of Agent-Based Approaches -- 11.4 A Multidimensional Gradual Framework for Evaluating Socio-Technical Systems
  • 11.5 Emergence in Agent-Based Systems -- 11.6 The Potential for Social and Asocial Agency in Agent-Based Modeling -- 11.7 Conclusions and Future Directions -- References -- 12 Towards Nonlocal Field-Like Social Interactions: Oscillating Agent Based Conceptual and Simulation Framework -- 12.1 Introduction -- 12.2 Oscillation-Based Paradigm and Experimental Validation Framework -- 12.3 Oscillating Agent Model: Phonons and Quantum Mechanical Approach -- 12.4 Agent-Based Simulation: Excitation Propagation in Social Mediums -- 12.5 Concluding Remarks and Discussion -- References -- 13 Analytical Approaches to Agent-Based Models -- 13.1 Introduction -- 13.2 The Original Process -- 13.3 The Deterministic Limit -- 13.4 The Stochastic Limit -- 13.4.1 The Diffusion Approximation -- 13.4.2 The Central Limit Theorem Approximation -- 13.5 Conclusions -- Appendix: Technical Conditions -- References -- Part IV Macro Aspects of Organizational Behavior -- 14 Modeling Social Agency Using Diachronic Cognition: Learning from the Mafia -- 14.1 Human Modes of Organizing -- 14.2 Cognition: History and Time -- 14.3 Criminal Organizations as a Social Laboratory -- 14.4 Evolution of Cosa Nostra -- 14.4.1 Enaction of Organizational Norms -- 14.4.2 Socio-Cultural Embedding of the Organization -- 14.5 Lessons for Modeling -- 14.5.1 Intra-Agent Processes: A Computational Socio-Cognitive Theory of Social Agency -- 14.5.2 Inter-Agent Processes: Diachronic Co-evolution -- 14.6 Outlook: Modeling Diachronic Cognition -- References -- 15 Water Controversies Between Conflict and Cooperation: Agent-Based Models for Non-traditional Security -- 15.1 ABM in Social Sciences and Conflict Studies -- 15.2 Water as Object of Security: The Case of Mekong Dams -- 15.3 The Model -- 15.4 Modelisation, Testing and Some Preliminary Conclusions: Ideas for Future Works -- References
  • 16 Open Innovation Networks and the Role of Intermediaries: An Agent-Based Simulation -- 16.1 Introduction -- 16.2 Literature Review -- 16.2.1 Open Innovation -- 16.2.2 Strategic Roles in Innovation Networks -- 16.3 Model -- 16.3.1 Modeling Strategy -- 16.3.2 Model Implementation -- 16.4 Results -- 16.5 Conclusions and Limitations -- Appendix -- References -- Index
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1 online resource (347 pages)
Form of item
online
Isbn
9783319181530
Media category
computer
Media MARC source
rdamedia
Media type code
c
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remote

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