慢与稳定,还是速度与激情?全渠道需求对交货提前期敏感性的实证研究

S. Lim, Fei Gao, T. Tan
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引用次数: 3

摘要

我们研究了意大利一家全渠道家具零售商的大型交易级数据集,以研究具体渠道对需求的交货时间的影响。这家全渠道零售商销售相同的产品,并通过三个渠道——展厅、在线和目录——销售相同的产品。展厅渠道没有库存,但允许客户触摸和感受产品。在线渠道为消费者提供浏览和订购产品的网站。目录通道向意大利的所有家庭发送产品目录,以便他们通过电话下订单。我们发现,与在线和目录渠道相比,展厅渠道使消费者对交货时间不那么敏感。特别是,交货时间每增加10%(样本平均值为18.35天,1.84天),展厅的每单订单销售额就会减少0.85%(样本平均值为889.94欧元,约为7.6欧元),低于在线和目录渠道分别减少的1.14%和1.23%。这一发现与关于跨渠道均匀交货时间敏感性的普遍实践和理论假设相矛盾。此外,我们发现小众产品和体验品强化了展厅和非实体渠道的交货期敏感性差异。我们进一步开发了一个程式化的模型来研究我们的实证研究结果对全渠道零售商设施网络设计的影响。鉴于我们的研究结果显示,展厅等待敏感性小于在线等待敏感性,零售商应该建立更少但更大的展厅,而不是同质等待敏感性所建议的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Slow and Steady, or Fast and Furious? An Empirical Study about Omnichannel Demand Sensitivity to Fulfillment Lead Time
We examine a large transaction-level data set of an Italian omnichannel furniture retailer to study channel-specific effects of fulfillment lead time on demand. This omnichannel retailer sells the same products and has the same product fulfillment across three channels – showroom, online and catalog. A showroom channel carries no inventory but allows customers to touch and feel the products. An online channel provides a website for consumers to browse and order the products. A catalog channel sends a product catalog to all the households in Italy for them to place an order over the phone. We find that the showroom channel makes consumers less sensitive to fulfillment lead time than both online and catalog channels. In particular, a 10% increase in lead time (1.84 days from the sample mean of 18.35 days) causes a 0.85% reduction in the sales per order (~ EUR 7.6 from the sample mean of EUR 889.94) at the showroom, less than the reduction of 1.14% and 1.23% in the online and the catalog channels, respectively. This finding contradicts the common practical and theoretical assumption about homogeneous lead time sensitivity across channels. In addition, we find that niche products and experience goods accentuate the difference of lead time sensitivity between showroom and non-physical channels. We further develop a stylized model to study the implications of our empirical findings for the design of an omnichannel retailer’s facility network. Given our finding that shows the showroom wait sensitivity is smaller than online wait sensitivity, retailers should build fewer but larger showrooms than the homogeneous wait sensitivity suggests.
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