| Summary: | 碩士 === 國立虎尾科技大學 === 企業管理系經營管理碩士班 === 105 === Queuing behavior is a universal consumption phenomenon to service industry. Many companies attend to the management issues about the unavoidable waiting situation and establish many management policy to make consumer willing to wait or stay. However, consumer decision making is the ultimate behavior that occurs after a series of complex human cognitive processes, so it’s hard to observe as usual. This study was apply braiwave experiment with two kinds of queueing situation simulation and to detection the real reaction of comsumers. On the other hand, this paper also used questionnaires to understand the consumers’ queuing perception and include personal time style, waiting tolerance and decision type as grouping variables.
The analytical results of questionnaire showed providing waiting time information will bring consumer positive emotion, but no significant difference in three grouping variables. However, when providing the information of queuing people will decrease the consumer negative emotion.
In addition, the analytical results of brainwave response showed that consumer will had high wave from 300 to 350ms on FP1 after consumer receive waiting time information, but the waiting information without time will make consumer brainwave had larger change at 0 to 250ms. This study convert the continuous value of brainwave data into discrete values by fuzzy statistical techniques and confirm the LN10H method had the highest correlation with the raw data. Then, use sequence pattern analysis of data mining to find the tens of thousands of rules of brainwave. Otherwises, this study used 32 channel to observer the effect of queuing information of waiting line in front of store. The analytical results showed the stronger signals from scalp surface near paterial and temporal lobe first, than the power would transfer from the scalp surface near frontal lobe.
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