On-Demand Meal Delivery Platforms: Operational Level Data and Research Opportunities

Wenzheng Mao (), Liu Ming (), Ying Rong (), Christopher S. Tang () and Huan Zheng ()
Additional contact information
Wenzheng Mao: Advanced Institute of Business, Tongji University, Shanghai 200082, China
Liu Ming: School of Management and Economics, The Chinese University of Hong Kong, Shenzhen 518172, China
Ying Rong: Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China
Christopher S. Tang: Anderson School of Management, University of California, Los Angeles, Los Angeles, California 90095
Huan Zheng: Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China

Manufacturing & Service Operations Management, 2022, vol. 24, issue 5, 2535-2542

Abstract: This paper describes the operations of most on-demand meal delivery platforms and discusses how empirical research can improve the operational performance of these platforms. To support and encourage more studies on the operations of on-demand delivery platforms, we provide a unique data set obtained from a meal delivery platform in China. This data set contains operational level data sampled from July 1 to August 31, 2015, in Hangzhou, China. The data set includes information about order placements, order deliveries, restaurants, drivers, weather and traffic conditions, and so on. We also review recent studies on meal delivery platforms and suggest research opportunities for improving delivery performance.

Keywords: meal delivery platforms; platform operations; data set; operations management (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/msom.2022.1112 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ormsom:v:24:y:2022:i:5:p:2535-2542

Access Statistics for this article

More articles in Manufacturing & Service Operations Management from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().