Consumer Behavior Modeling Based on Social Psychology and Complex Networks

Service innovation necessitates the acceptance by customers. The evaluation of the acceptance is problematic as word-of-mouth type of advertising becomes popular. We developed a consumer behavior modeling framework that consists of consumer agents and consumer network, using snowball sampling technique. The differentiating technologies are social psychology and complex networks. Our data analysis and multi-agent simulations proved the feasibility of this framework.