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Analysis of Localized Actors' Behaviors in Service Ecosystem Simulation

This paper analyzes social phenomena resulted in service-dominant (S-D) logic from a quantitative viewpoint with agent-based simulation. An agent plays a role of an actor in S-D logic, who integrates resources, collaborates with other actors, and exchanges service to serve values to beneficiaries. In the simulation, actors started as generic actors, became specialized into a single type of skill, and configured various patterns of institutional arrangements and service ecosystems. Especially, when the simulation constrained a trip distance for one-time exchange, and made the actors’ life levels variable corresponding to the obtained values, many small local structures of actors appeared in the ecosystems. Moreover, we also changed the land model into that with multiple fertile points, and then observed small satellite villages appeared apart from the central villages. These observations stand for that local institutions were endogenously established under contextual constraints from a S-D logic viewpoint.