2019 Volume 29 Issue 1 Pages 36-48
To understand social and organizational phenomena and connect them to the design of a system, an approach to implement an agent-based model and a case study have been proposed. In this study, we propose a methodology that extends the approach to the following two points i.e., 1) analyzing not the micro-level simulation logs themselves but the patterns of micro-level logs and 2) describing the interpretations of the business cases formally by using an abstract description language. To confirm the feasibility of our proposed methodology, an agent-based model that expresses the decision-making process concerning external environment recognition of an organization was established. For systematically analyzing, we generated the simulation logs from the model via many trials by using the random search method comprehensively. Furthermore, we adopt the Managerial Decision-making Description Model as an abstract description language and wrote down two actual business cases with similar themes; a top-down-type decision-making case and a bottom-up-type decision-making case. Moreover, the comparisons of the business cases with similar themes were performed. Hence, this new methodology enables 1) to comprehensively understand the results and processes of the simulation and to discuss the occurrence frequency and 2) to express the simulation logs and actual business cases in the same format by case description language to compare them.
