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Revenue Management and the Rise of the Algorithmic Economy

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  • Ilan Lobel

    (Stern School of Business, New York University, New York, New York 10012)

Abstract

Revenue management has evolved over the years from its origins in the airline industry into a much broader discipline that analyzes algorithmic methods for demand and marketplace management, but many outside of the discipline are not aware of this transformation. The field’s transition tracks the widespread adoption of algorithmic decision-making techniques by businesses in a wide variety of industries over the last decade. We study this evolution in the field’s breadth of research, with a particular focus on revenue-management papers that study online marketplaces such as e-commerce retailing, digital advertisement, and ride-hailing markets for urban transportation.

Suggested Citation

  • Ilan Lobel, 2021. "Revenue Management and the Rise of the Algorithmic Economy," Management Science, INFORMS, vol. 67(9), pages 5389-5398, September.
    • Handle: RePEc:inm:ormnsc:v:67:y:2021:i:9:p:5389-5398
    DOI: 10.1287/mnsc.2020.3712
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    References listed on IDEAS

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    Cited by:

    1. Maxime C. Cohen & Adam N. Elmachtoub & Xiao Lei, 2022. "Price Discrimination with Fairness Constraints," Management Science, INFORMS, vol. 68(12), pages 8536-8552, December.

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