In Search of Optimum Possible Organizations through Agent Modeling - Business Environment Recognition Models

This paper presents a novel agent-based simulation model to analyze organization structures, which will show optimum possible performances against environmental and organizational changes. The model is a natural extension of the tag model of cultural assimilations proposed by Axelrod. Using the model, we investigate the landscape of "could be" space of organizations using random search. The proposed model focuses on the process of how the organizational recognition on business environment changes when they face new one. Regular personnel reshuffle program is also performed on the model. The major findings are: 1) optimum organizational structure is contingent upon who recognizes the environment, and 2) personnel decision of who and when to transfer, has much more impact than existence of regular personnel reshuffle system.