Over a decade, there has been a call for process-oriented conception in entrepreneurship research, yet the vast majority of entrepreneurship studies are still variance-oriented (Martinez, Yang, & Aldrich, 2011; McMullen & Dimov, 2013). Agent-based modeling and simulation (ABMS) may be a viable method for the process-oriented entrepreneurship research (Crawford et al., 2015; McKelvey, 2004). Key features of ABMS include its multi-agent and multi-level modeling capabilities. ABMS can be composed of heterogeneous agents and reproduce the emergence of a phenomenon at macro-level by each agent’s behavior at micro-level. ABMS investigates the temporal or sequential effects of their actions and interactions during the process by computer simulations. However, it is difficult to find applications of ABMS in entrepreneurship studies. This underutilization may be associated with the lack of entrepreneurship scholars’ understanding of or familiarity with the features and procedures of ABMS. In contrast, we can find relatively many agent-based models (ABMs) in business and management studies (Fioretti, 2013). Thus, in this study, we analyze the high-impact ABMs in these adjacent fields to gain methodological insights for the process-oriented entrepreneurship research.