Complexity theory can be employed to explore complex behavior and its evolution in a large number of fields, such as physics, mathematics, chemistry, biology, engineering, geoscience, economics, and business. Complex dynamical behavior can occur in any system of economics or business composed of many interacting constituents, be they suppliers, consumers, manufacturers, the government, and others.

From the view of dynamic disequilibrium, complexity theory challenges the traditional theory of economics or business based on the static and equilibrium theory. It regards the system of economics or business as a process dependent and evolving organism so that many phenomena of economics or business are well explained. In recent decades, based on stability, bifurcation, chaos, nonlinear dynamics, and neural networks, researchers have investigated complex phenomena and constructed many simulation models, such as nonlinear differential equations, cellular automata, fractal, artificial neural networks, and multi-agent models.

The aim of this Special Issue is to collate original articles as well as review papers with a focus on the advances of complexity in economics and business.

Potential topics include but are not limited to the following:

• Stability, bifurcation, and chaos of economics or business systems
• Synchronization and control of economics or business systems
• Complexity of discrete dynamical systems
• Complexity of continuous dynamical systems
• Complex dynamics in fractional order systems
• Complex dynamics in stochastic systems
• Time series of economics and business
• Complexity in dynamical games
• Complexity in supply chains
• Complexity in multi-agent systems
• Complexity in data-driven models