JD.com: Transaction-Level Data for the 2020 MSOM Data Driven Research Challenge

Max Shen (), Christopher S. Tang (), Di Wu (), Rong Yuan () and Wei Zhou ()
Additional contact information
Max Shen: Department of Industrial Engineering and Operations Research, University of California, Berkeley, Berkeley, California 94720
Christopher S. Tang: UCLA Anderson School of Management, University of California, Los Angeles, Los Angeles, California 90095
Di Wu: JD.com American Technologies Corporation, Mountain View, California 94043
Rong Yuan: Stitch Fix, San Francisco, California 94104
Wei Zhou: JD.com American Technologies Corporation, Mountain View, California 94043

Manufacturing & Service Operations Management, 2024, vol. 26, issue 1, 2-10

Abstract: 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 by JD.com. Researchers are welcome to develop econometric models or data-driven models using this database to address some of the suggested questions or examine their own research questions.

Keywords: e-commerce; transactional data; MSOM society; data-driven research (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormsom:v:26:y:2024:i:1:p:2-10

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