Computational and Mathematical Organization - Impact Factor

About: Objective: The journal aims to publish research that advances the understanding of organizational theory through the use of computational and mathematical methods.
Focus Areas:
Agent-based modeling and simulation
Network analysis and social network theory
Game theory and strategic decision-making
Organizational design and behavior
Computational models of organizational processes
Knowledge management and information systems
Performance measurement and evaluation
Decision support systems
Data mining and machine learning in organizational contexts
Case studies and practical applications of computational methods in organizations
Impact and Significance:
The journal provides a platform for interdisciplinary research, bridging the gap between organizational theory and computational/mathematical methods.
It contributes to the development of innovative models and simulations that enhance the understanding of complex organizational dynamics.
The rigorous peer-review process ensures high-quality publications that drive advancements in both organizational theory and computational methodologies.

Scope: The journal covers a diverse range of topics, including but not limited to:
Agent-Based Modeling: Simulation and modeling of organizational behavior and dynamics using agent-based approaches.
Network Analysis: Examination of organizational structures and relationships through network theory and analysis.
Mathematical Models: Development and application of mathematical models to study organizational processes and phenomena.
Computational Techniques: Use of computational methods and algorithms to analyze organizational data and solve complex problems.
Decision-Making Processes: Exploration of decision-making within organizations using computational and mathematical frameworks.
Organizational Change and Innovation: Study of how organizations adapt, evolve, and innovate over time.
Performance Measurement: Quantitative methods for assessing and improving organizational performance.
Policy and Strategy: Application of computational models to organizational policy and strategic planning.