Table 2 SWOT analysis of system dynamics.

Focus on circularity, causality and the effects of variables over time

Strong for strategic analyses and problem-solving

Flexible modelling environment facilitates the use subjective or abstract variables if necessary

Multiple independent objects of study can be subject of analysis simultaneously

Model structure is easy to adapt and change if necessary

Non-linear, top-down approach

Can be used for modelling market dynamics

Strategic analyses often do not suffice for effective decision-making

Visualization of stakeholder involvement is highly dependent on how the model is built

Levels of error and uncertainty are harder to determine

Aggregation can hide or ignore important variables if not done carefully

Model structure might not be objectively represent the actual series of processes and flows of the system under study

Limited support for using indicators

Can be of great use for communication purposes

Can foster the development of multidisciplinary studies

Can generate endogenous trends and projections

Scarce expertise

Analyses can become over-simplistic

Vulnerable to data reliability