What are the Challenges of Causal Modeling in Entrepreneurship?
Despite its benefits, causal modeling also comes with certain challenges:
Data Quality: The accuracy of the model depends on the quality of the data collected. Complexity: Building and validating a causal model can be complex and time-consuming. Dynamic Environments: Business environments are dynamic, and models may need frequent updates.