Transcending Complexity through Agent-Based Modeling in Management, Organization, and Economic Sciences
Stephan Leitner, University of Klagenfurt, Austria
Silvia Leoni, University of Maastricht, Netherlands
Friederike Wall, University of Klagenfurt, Austria
Over the years, agent-based modeling and simulation has gained significant traction in the fields of management, organization, and economic sciences. This is due to the efforts of researchers from various disciplines such as social sciences, physics, informatics, engineering, and psychology, who have utilized the innovative approach to tackle complex challenges. However, as new opportunities emerge from recent technological advancements and data-driven insights, the field continues to evolve and presents new avenues for exploration.
We propose a special track to bring together researchers who are passionate about using agent- based modeling and simulation to transcend the boundaries of complexity in management, organization, and economic sciences. We encourage submissions that address recent developments, innovative applications, and future prospects in this field.
- Algorithmic management: Optimizing management with cutting-edge algorithms
- Collaborative organizing and bottom-up organizational dynamics
- Microeconomics ABMs: emergence of market structure, ABM approach to game theory
- Macroeconomic ABMs: crises, growth, business fluctuations, climate change,
- Decoding human behavior through modeling
- Collective intelligence and group decision making
- Innovative mixed methods for ABM
- Ensuring transparency and reproducibility in ABM
- Assessing the robustness of ABMs
- Pioneering new solutions with innovative ABM approaches