Abstract:

Computational modeling applies the regulations and rules of mathematics. It can be used to assess the inconsistency of theory and empirical results, integrate and develop theories, and represent complex, nonlinear, and non-recursion organizational behavior phenomena. However, computational models have not been used much in organizational behavior research. Using complex network analysis and a literature review, this study introduced three widely used computational modeling approaches (i.e., agent-based, system dynamics, and cellular automata) and the topics and types of research questions these computational models address. Computational modeling can help researchers to explore new research fields, change the theoretical pattern of organizational behavior, and support and development the existing research achievements. This study is a tutorial manual of computational modeling in organizational behavior research.

Key words: computational modeling, organizational behavior, nonlinear, non-recursive, circular causality