Pooling works when the needs of the participants are independent or exclusive. Those who remain in demand can fill those who lack. However, this study began by wondering what would happen if participants had opportunism in this pooling process. The hypothesis is that the opportunism of the participants reduces the pooling effect.
Experiment and simulation were combined to test this hypothesis. The experiment confirmed that the subject had opportunism in the pooling situation. And the simulation confirmed the impact on pooling. After the morning sale was completed, the experiment subjects received help for afternoon sale by pooling. When pooling, the order quantity was checked for distortion in order to receive more.
It is expected that phantom orders will increase when receiving an additional supply rather than a return. And the experiment was to see how much occurs. The overall pooling effect was measured by implanting the decision function found in the experiment into the simulation model. Pooling consists of one seller and two buyers. The effect is quantified by simulating the case that one buyer has opportunism and non-opportunism.