Oxford Handbook of Agent-Based Computational Management Science

Over the past few decades, agent-based modelling and agent-based computational technologies have spread into research on business and management. Agent-based modelling takes account of individual behavior alongside interactions within and across organizations and their competitive environment, seeking to explain complex, macro-level patterns emerging from micro-level behavior. These characteristics make an agent-based approach useful for studying a number of open issues in management, including adaptive behavior and dynamics in and across organizations, variable outcomes caused by management practices, and bridging micro-and macro-levels in organizational analysis.

In The Oxford Handbook of Agent-based Computational Management Science, Friederike Wall, Shu-Heng Chen, and Stephan Leitner bring together a wide array of experts in the field to give a comprehensive overview of this novel approach in management science. In particular, the volume focuses on adaptive behavior and dynamics in and across organizations, non-linearities caused by management practices, and bridging micro-and macro-levels in organizational analysis. The Handbook addresses two purposes of agent-based approaches in management science. First, the volume shows how an agent-based approach advances theory-building in management. Second, it provides an overview of agent-based technologies employed for more practical issues in management. These comprise, for example, a normative understanding of systems design, such as determining which designs provide good results.

An indispensable resource on agent-based modeling in management science, this Handbook introduces its current state from theoretical and operational perspectives and discusses its future opportunities.

List of contents

• Chapter 1: Agent-based Modelling for Bridging the Micro-Macro Divide in Management Science: An Introductory Essay


• Friederike Wall, Shu-Heng Chen, and Stephan Leitner


• Part I: Microfoundations of Agent-Based Models in Management


• Chapter 2: Bounded Rationality: Foundations and Varieties in Agent-based Modelling


• Shu-Heng Chen


• Chapter 3: Artificial Cognition


• Guido Fioretti


• Chapter 4: Pick up the Slack: Modeling Resource Availability and Search Processes in Organizations


• Oliver Baumann and Stefano Benincasa


• Part II: Agent-Based Modelling and Simulation for Theory-Building in Management


• Chapter 5: Agent-based Modelling for Strategy


• Thorbjørn Knudsen


• Chapter 6: Agent-Based Modelling in Innovation Management


• Christian Stummer


• Chapter 7: Agent-Based Modeling in Marketing: Interactions are King


• William Rand


• Chapter 8: Theory-Building in Organization Science with Agent-Based Computational Models: Past, Present, and Future


• Myong-Hun Chang


• Chapter 9: Interorganizational Network Formation: An Agent-Based Perspective


• Maria Martini Barzolai, Paolo Pellizzari, and Marco Tolotti


• Chapter 10: Using Agent-based Modeling for Theory Building in Organizational Routines


• Dehua Gao


• Chapter 11: Modeling the Leadership Influence Process


• James Hazy and Korosh Mahmoodi


• Chapter 12: Agent-based Modelling Approaches to Sustainability Management and Social Responsibility


• César García-Díaz


• Chapter 13: Corporate Investment: Advancing Theoretical Perspectives Using Agent-Based Techniques


• Stephan Leitner


• Chapter 14: Agent-based Modelling for Management Control and Management Accounting


• Friederike Wall


• Part III: Agent-Based Modelling and Simulation for Operational Issues in Management


• Chapter 15: Agent-Based Modelling and Social Network Analysis - A Review for Economic and Management Studies


• Pedro Campos


• Chapter 16: Agent-based Modeling in E-commerce


• Dietmar Jannach and Stephan Leitner


• Chapter 17: Complex Adaptive Supply Chain Management: An NKCS Methodology


• Ilaria Giannoccaro and Giovanni F. Massari


• Chapter 18: Agent-based Manufacturing Control for Industry 4.0 - Fundamentals and Open Challenges


• Felix Gehlhoff and Alexander Fay


• Chapter 19: Exploring the Integration of Agent-Based Modelling, Process Mining, and Business Process Management through a Text Analytics-based Literature Review


• Faiza A. Bukhsh, Ruben R. Govers, Rob H. Bemthuis, and Maria-Eugenia Iacob


• Chapter 20: Group Decision-Making in Agent-based Models of Organisations


• João Carneiro, Patricia Alves, and Goreti Marreiros


• Chapter 21: Agent-based Encoding of Disruption and Disaster Management Knowledge


• Ghassan Beydoun and Dedi Inan


• Part IV: Reflections and Extensions


• Chapter 22: Communicating Agent-based Models in Management Research and Managerial Practice


• Matthias Meyer and Jan Spitzner


• Chapter 23: Agent-based Models as Digital Twins in Management Science


• Michael Mäs


• Chapter 24: Agent-based Technologies for Research and Practical Use in Management: Integrative Perspectives


• Friederike Wall and Stephan Leitner

About the author

Friederike Wall is a Full Professor of Management Control and Strategic Management at the University of Klagenfurt, Austria, since 2009. In 1996, she received the venia legendi (Habilitation) from the University of Hamburg, Germany, and she became a Full Professor of Management Control and Information Management at the University of Witten/Herdecke, Germany. She is an elected member of the Academia Europaea and was awarded the Austrian Cross of Honour for Science and Art First Class. Her scientific work focuses on agent-based modeling applied in management science, particularly for studying management control systems and the social dynamics associated with control mechanisms.

Shu-Heng Chen is a Distinguished Professor in the Department of Economics, National Chengchi University (NCCU), Taipei, Taiwan. He serves as the editor-in-chief of Journal of New Mathematics and Natural Computation and Journal of Economic Interaction and Coordination. Chen holds a PhD. in Economics from

University of California at Los Angeles. His research interests include computational intelligence, agent-based computational economics, and computational social sciences. He has more than 200 referred publications in international journals and edited book volumes, and authored Agent-based Computational Economics: How the Ideas Originated and Where It Is Going and co-authored Agent-based Modeling and Network Dynamics.

Stephan Leitner is an Associate Professor at the University of Klagenfurt, Austria. His research is focused on simulations, especially those that use agents to simulate real-life behaviors in management science, organizational studies, and complex systems. He is particularly interested in updating traditional economic models with these simulations to see how management controls emerge and to understand the behaviors and control mechanisms in organizations and individuals. Leitner also looks into how self-organization and social dynamics can explain the dynamics within

management science. His recent work aims at ensuring that social science research can be reliably replicated, emphasizing the importance of reproducibility in research.

Product details

• Authors: Friederike (Full Professor of Management Con Wall
• Assisted by: Chen Shu-Heng (Editor), Leitner Stephan (Editor), Wall Friederike (Editor)
• Publisher: Oxford University Press
• Languages: English
• Product format: Hardback
• Release: 10.02.2026
• EAN: 9780197668122
• ISBN: 978-0-19-766812-2
• No. of pages: 492
• Series: Oxford Handbooks
• Subjects: Social sciences, law, business > Business > Management; BUSINESS & ECONOMICS / Strategic Planning, BUSINESS & ECONOMICS / Budgeting, Business & management, business strategy, Budgeting & financial management, Budgeting and financial management