For nearly ten years, entrepreneurship scholars have called for the use of computational simulation methodologies to model the dynamic, non-linear process of new venture creation. Simulation allows researchers to experimentally confirm insights from small case studies or large panel datasets, generate ideas for follow on research, replicate (or disconfirm) empirical findings, and conduct repeated thought-experiments to build more generalizable theory in a manner that is transparent and methodologically rigorous.

The purpose of our paper is to provide a detailed description of how computational simulation methods may be applied to further advance entrepreneurship’s current research agenda. Thus, our primary research question is: “How can simulation models help entrepreneurship researchers build and test domain-specific theory?”