Agent-Based Simulation Consumer Behavior in Impulse Buying

Because of the dissemination of impulse buying behavior in consumers its academic studies have increased over the last decade. Because in large stores, sales have to be increased, the behavior of consumers in impulse buying to be taken into account by the researchers and managers of the stores. The purpose of this paper is agent–based simulation impulse buying behavior consumer (customers) considering the discount, the optimal time of customer presence in stores from the point of view the store managers and learning from previous buying. The population and the statistical sample of the present study include 15 academic professors who are expert in impulse buying and marketing topics. The present study is executive in terms of purpose. It is mathematical in terms of data type and modeling method. This model examines the existing reality of consumer buying behavior to develop impulse buying models in the agent-based simulation environment by Netlogo software. After reviewing the theoretical foundations and research background 5 dimensions and seventeen indicators have been identified by fuzzy screening method. The results showed that the factors considered in this study describe the impulse buying behavior of consumers as an economic analysis based on consumer relations and customer-product relationship. This achievement by simulating customer behavior at the time of purchase strives to provide valuable information for managers shareholders and store decision makers.