An approach in organizational research compares actual business cases with the logs of organizational simulation. In this approach, to compare business cases and simulation logs efficiently, an analysis method that targets only the types of micro-logs, and not micro-logs that indicate detailed records of individual agent behavior, has been proposed. However, the method is dependent on the analyst’s knowledge of the simulation model. Consequently, a room for improvement prevails in relation to the need to set log types in advance. Therefore, in this paper, a methodology that extends the following two points by employing the clustering method to micro-log analysis of the organizational simulation is proposed. First, the analyst does not have to set the type of simulation log in advance. Second, the analyst could change the analysis granularity of the simulation log. Further, we constructed an agent-based model that represents the decision-making process related to the external environment recognition of an organization and illustrated that the requirements of the proposed method are satisfied.
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