Theory building via agent-based modeling in public administration research : vindications and limitations

Purpose: The purpose of this article is to provide an overview of agent-based modeling as an alternative method for public administration research. It is focused on encouraging public administration scholars to come to better understanding of the method. Design/methodology/approach: This article performed a comprehensive review of methodological issues relative to agent-based modeling. Findings: After reviewing the current research themes in public administration and the methodological nature of agent-based modeling, we found that agent-based modeling can help researchers to advance theories by means of sophisticated thought experiment which is not possible by formal modeling and verbal reasoning. We also pointed out that agent-based modeling does not substitute empirical research, but can add much value through being part of a mixed-method and multidisciplinary research. Practical implications: We suggested that interested researchers may need to take a strategic approach in developing and describing a pertinent model and reporting its results. Originality/value: Agent-based modeling has rarely been used in public administration research. The article provides an introductory overview for researchers not familiar with ABM and suggests to the academic community future venues that would unfold from agent-based modeling.