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Comparison of customer balking and reneging behavior to queueing theory predictions: An experimental study

机译:拒绝客户行为和拒绝行为与排队理论预测的比较:一项实验研究

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In this paper, we study customer decision-making while in a queuing situation. Customers can either join a queue or balk and return at a later time. Customers who join can renege and also return later. Our objective is to determine whether people seem to follow the benchmarks provided by queuing theory or whether psychological costs and perceptions of time invalidate these benchmarks. We use a computerized experiment where participants face explicit financial rewards and penalties for their decisions in a between subjects, fully crossed design with two experimental factors-clock data, and information about expected waiting time, each at two levels, presence and absence. Evaluated against the queuing theory benchmark, decision-making is quite good. Reneging is very rare, as queuing theory requires. Most participants follow a consistent rule for balking. They balk at every line longer than some critical value, as prescribed by queueing theory. But, even when corrected for heterogeneity in time perception, this critical value is greater than the one that minimizes expected waiting time. The large critical value may be due to risk-aversion or participants overestimating the switching cost. The results are supported by a second experiment using different parameters. Information improved decisions for most participants by increasing the precision of waiting time estimates. In addition, information helps participants who underestimate waiting time to correctly leave the line and those who over-estimate to stay. Providing clock time had almost no impact on decision-making.
机译:在本文中,我们研究处于排队状态的客户决策。客户可以加入队列,也可以避开并稍后再返回。加入的客户可能会背叛并稍后返回。我们的目标是确定人们是否遵循排队论所提供的基准,或者心理成本和时间观念是否使这些基准无效。我们使用计算机化的实验,参与者在受试者之间做出决定时会面临明确的财务奖励和惩罚,带有两个实验因素时钟数据的完全交叉设计,以及关于预期等待时间的信息,每个等待时间有两个级别,即在场和不在场。根据排队论的基准进行评估,决策是相当不错的。如排队理论所要求的那样,重新绑定非常少见。大多数参与者遵循一致的禁止规则。排队理论规定,它们在每一行上的承受时间都比某个临界值长。但是,即使针对时间感知的异质性进行了校正,该临界值仍大于使预期等待时间最小化的临界值。较大的临界值可能是由于规避风险或参与者高估了转换成本。使用不同参数的第二个实验支持了结果。信息通过增加等待时间估计的准确性来改善大多数参与者的决策。此外,信息还可以帮助那些低估等待时间的参与者正确地离开生产线,并帮助那些高估停留时间的人们。提供时钟时间几乎对决策没有影响。

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