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作者：Chen, Shouchang; Yan, Zhenzhen; Lim, Yun Fong
作者单位：Zhejiang University; Nanyang Technological University; Singapore Management University
摘要：Problem definition: A significant percentage of online consumers place consecutive orders within a short duration. To reduce the total order arrangement cost, an online retailer may consolidate consecutive orders from the same consumer. We investigate how long the retailer should hold the consumer's orders before sending them to a third-party logistics provider (3PL) for processing. In this order-holding problem, we optimize the holding time to balance the total order arrangement cost and the ...
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作者：Jiang, Hansheng; Cao, Junyu; Shen, Zuo-Jun Max
作者单位：University of California System; University of California Berkeley; University of Texas System; University of Texas Austin; University of Hong Kong; University of Hong Kong
摘要：Problem definition: We consider intertemporal pricing in the presence of reference effects and consumer heterogeneity. Our research question encompasses how to estimate heterogeneous consumer reference effects from data and how to efficiently compute the optimal pricing policy. Academic/practical relevance: Understanding reference effects is essential for designing pricing policies in modern retailing. Our work contributes to this area by incorporating consumer heterogeneity under arbitrary di...
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作者：Pauphilet, Jean
摘要：Problem definition: Mining for heterogeneous responses to an intervention is a crucial step for data-driven operations, for instance, to personalize treatment or pricing. We investigate how to estimate price sensitivity from transaction-level data. In causal inference terms, we estimate heterogeneous treatment effects when (a) the response to treatment (here, whether a customer buys a product) is binary, and (b) treatment assignments are partially observed (here, full information is only avail...
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作者：Shen, Max; Tang, Christopher S.; Wu, Di; Yuan, Rong; Zhou, Wei
作者单位：University of California System; University of California Berkeley; University of California System; University of California Los Angeles
摘要：To support the 2020 MSOM Data Driven Research Challenge, JD.com, China's largest retailer, offers transaction-level data to MSOM members for conducting data-driven research. This article describes the transactional data associated with over 2.5 million customers (457,298 made purchases) and 31,868 stock keeping units (SKUs) over the month of March in 2018. We also present potential research questions suggested JD.com. Researchers are welcome to develop econometric models or data-driven models ...
