The research objects of the general economic and management field are dynamic and open complex management systems, which have complex forms and characteristics. The boundaries of the resulting management issues are blurred and unclear. Although the problem elements may have certain input and output relationships, there may also be implicit, uncertain, and nonlinear dynamics relationships between the problem elements. Coupled with the complexity of the management environment, the problems of this type of complex management systems are more difficult to describe using structured methods and models. To model and predict the dynamics of these systems, a deep understanding of the complexity of the relationship between the problem elements and the complex external environmental impact is needed. The appropriate unstructured modeling methods can then be developed. Furthermore, the introduction of multiple conflicting objectives of these management systems brings some arising research topics in complex management systems.

The complex characteristics and the blurred management boundaries of complex management systems, as well as the occurrence of different types of emergencies, create great challenges for modeling key performance indexes and management decision-making. Therefore, it is very difficult to perform the integration and synergy analysis of the internal and external environments. Moreover, how to make estimation and prediction on the system state, preventing future possible problems and decision-making effect evaluation is a challenge. In addition, the complexity of multiple conflicting objectives makes the problem more complex when performing systemic analysis.

This Special Issue aims to promote original research in the area of complex systems with a focus on the studies on modeling, simulation, and decision making of complex management systems. The objective of this Special Issue is to publish original research as well as review articles for new modeling and analyzing methods for dynamic complex management systems. We especially welcome the original research of the complex management questions of carbon neutrality, the digital economy, and Industry 4.0, but are not limited to these fields.

Potential topics include but are not limited to the following:

• Group decision making in complex management systems
• Deep reinforcement learning for management strategy optimization
• Deep learning in complex management systems
• Complex networks in complex management systems
• Simulation analytics in complex management systems
• Nonlinear dynamics features in complex management systems
• Complexity management and performance assessment
• Quality and reliability management of complex systems
• New technology for complex financial systems
• New modeling and optimization methods for complex management systems