PDF iconDownload This Paper
Open PDF in Browser
Add Paper to My Library
Permalink
Using these links will ensure access to this page indefinitely
Copy URL
Copy DOI

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

18 Pages Posted: 23 Jan 2020 Last revised: 11 Sep 2021

See all articles by Zuo-Jun Max Shen

Zuo-Jun Max Shen

University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR)

Christopher S. Tang

University of California, Los Angeles (UCLA) - Decisions, Operations, and Technology Management (DOTM) Area

Di Wu

JD.com American Technologies Corporation

Rong Yuan

Massachusetts Institute of Technology (MIT) - Operations Research Center

Wei Zhou

LinkedIn

Date Written: December 31, 2019

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 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

JEL Classification: M00

Suggested Citation

Shen, Zuo-Jun Max and Tang, Christopher S. and Wu, Di and Yuan, Rong and Zhou, Wei, JD.com: Transaction Level Data for the 2020 MSOM Data Driven Research Challenge (December 31, 2019). Available at SSRN: https://ssrn.com/abstract=3511861 or http://dx.doi.org/10.2139/ssrn.3511861

Zuo-Jun Max Shen

University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR) ( email )

IEOR Department
4135 Etcheverry Hall
Berkeley, CA 94720
United States

Christopher S. Tang (Contact Author)

University of California, Los Angeles (UCLA) - Decisions, Operations, and Technology Management (DOTM) Area ( email )

110 Westwood Plaza
Los Angeles, CA 90095-1481
United States

HOME PAGE: http://www.anderson.ucla.edu/x980.xml

Di Wu

JD.com American Technologies Corporation ( email )

United States

Rong Yuan

Massachusetts Institute of Technology (MIT) - Operations Research Center ( email )

77 Massachusetts Avenue
Bldg. E 40-149
Cambridge, MA 02139
United States

Wei Zhou

LinkedIn ( email )

Mountain View, CA
United States

PDF iconDownload This Paper
Open PDF in Browser

Do you have a job opening that you would like to promote on SSRN?

Place Job Opening

Paper statistics

Downloads
974
Abstract Views
2,868
Rank
46,208
5 Citations
2 References
PlumX Metrics

Related eJournals