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Does Forecast-Accuracy-Based Allocation Induce Customers to Share Truthful Order Forecasts?

机译:基于预测准确性的分配是否会导致客户共享真实的订单预测?

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摘要

Through a behavioral study, we investigate buyers' strategic order forecasting behavior in a multi-period setting under a forecast accuracy-based allocation policy, where the supplier allocates (proportionally) more inventory to the buyer with the better order forecast accuracy in case of scarce supply. We developed an interactive game that simulates a supply chain in which one supplier sells a key component to two buyers, who in turn sell to consumers. In each period, buyers share forecasts of future orders with their supplier. The participants in the game play the role of a buyer, while the supplier is automated. Our experimental findings suggest that rewarding forecast accuracy in allocating inventory can significantly improve the order forecast accuracy of the buyers and reduce their forecast inflation behavior. Interestingly, even without communication of the policy, buyers learn over time that more accurate forecasts lead to better service from their supplier and improve their order forecast accuracy.
机译:通过行为研究,我们在基于基于预测准确性的分配策略下的多个时期内研究买方的战略订单预测行为,其中供应商(按比例)向买方分配(按比例)更多的库存,并且在缺货的情况下具有更好的订单预测准确性供应。我们开发了一个互动游戏,该游戏模拟了一个供应链,其中一个供应商向两个买家出售关键组件,然后又将其卖给消费者。在每个时期,买方与供应商共享对未来订单的预测。游戏中的参与者扮演买家的角色,而供应商则是自动化的。我们的实验结果表明,在分配库存时奖励预测准确性可以显着提高买方的订单预测准确性,并减少他们的预测通胀行为。有趣的是,即使没有进行政策沟通,购买者也会随着时间的流逝了解到,更准确的预测可以为供应商提供更好的服务,并提高订单预测的准确性。

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