What can system dynamics learn from the public policy implementation literature?

Area of Science:

• Public Policy Analysis
• Systems Thinking
• Model-Based Research

Background:

• System dynamics model-based public policy analysis frequently focuses on parameter adjustments rather than structural design.
• This limitation hinders effective policy improvements, as structural changes are crucial for behavioral enhancements.
• The public policy implementation literature offers potential for improving operational thinking in model design.

Purpose of the Study:

• To explore how public policy implementation literature can enhance operational thinking skills for designing policy structures in public sector models.
• To provide a framework for improving the design of stock-and-flow policy structures.
• To facilitate better policy design through enhanced modeling approaches.

Main Methods:

• Utilizing a familiar public health problem model to illustrate the proposed approach.
• Applying principles from the public policy implementation literature.
• Developing an instructional training strategy for operational thinking in policy design.

Main Results:

• Demonstrated a method for improving the design of policy structures in system dynamics models.
• Illustrated how operational thinking can be applied to policy design.
• Offered a training strategy to enhance these skills for modelers.

Conclusions:

• Improving structural design in system dynamics models is essential for effective public policy analysis.
• Enhanced operational thinking skills are key to designing robust policy structures.
• The proposed approach and training strategy can improve the development of public sector models.