Description
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.
Table of Contents
Chapter 1: Agent-based Modelling for Bridging the Micro-Macro Divide in Management Science: An Introductory EssayFriederike Wall, Shu-Heng Chen, and Stephan LeitnerPart I: Microfoundations of Agent-Based Models in ManagementChapter 2: Bounded Rationality: Foundations and Varieties in Agent-based ModellingShu-Heng ChenChapter 3: Artificial Cognition Guido Fioretti Chapter 4: Pick up the Slack: Modeling Resource Availability and Search Processes in OrganizationsOliver Baumann and Stefano Benincasa Part II: Agent-Based Modelling and Simulation for Theory-Building in ManagementChapter 5: Agent-based Modelling for Strategy Thorbjørn KnudsenChapter 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 ChangChapter 9: Interorganizational Network Formation: An Agent-Based PerspectiveMaria Martini Barzolai, Paolo Pellizzari, and Marco Tolotti Chapter 10: Using Agent-based Modeling for Theory Building in Organizational RoutinesDehua Gao Chapter 11: Modeling the Leadership Influence Process James Hazy and Korosh Mahmoodi Chapter 12: Agent-based Modelling Approaches to Sustainability Management and Social ResponsibilityCésar García-DíazChapter 13: Corporate Investment: Advancing Theoretical Perspectives Using Agent-Based TechniquesStephan Leitner Chapter 14: Agent-based Modelling for Management Control and Management Accounting Friederike WallPart III: Agent-Based Modelling and Simulation for Operational Issues in ManagementChapter 15: Agent-Based Modelling and Social Network Analysis - A Review for Economic and Management Studies Pedro CamposChapter 16: Agent-based Modeling in E-commerce Dietmar Jannach and Stephan LeitnerChapter 17: Complex Adaptive Supply Chain Management: An NKCS MethodologyIlaria 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 KnowledgeGhassan Beydoun and Dedi Inan Part IV: Reflections and ExtensionsChapter 22: Communicating Agent-based Models in Management Research and Managerial PracticeMatthias Meyer and Jan Spitzner Chapter 23: Agent-based Models as Digital Twins in Management ScienceMichael Mäs Chapter 24: Agent-based Technologies for Research and Practical Use in Management: Integrative PerspectivesFriederike Wall and Stephan Leitner
