The Pricing Strategy in Chain Store Operation Simulation System Based on Decision Tree

The serious game and its application in e-education are more important for now and near future. In this paper we discuss the concept, scenario, and operation of an online serious game Chain Stone Master (CSM). By collecting the data from different participants´ database, we have the pricing operation of filtered 78 games for CSM. In perfect information transparency, decision makers analyze the business operation and price the suitable value for different goods. Price reduction, sustained, and increasing in different game stages and competition condition are formed a pricing strategy matrix. Actually, the matrix shows the pricing strategy of participants in this non-cooperative game. The decision tree method is used to identify the winners´ decision for each item in competition behind and superiority. By comparing pricing operation with the winners and other participants, we find that the winners try to make price steadiness (±13.5%) in different competition conditions, and it is smaller than other participants´ decision. But the decision tree can not explain the pricing logic completely.