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The Design of Optimal Pay-as-Bid Procurement Mechanisms

Author

Listed:
  • Je-ok Choi

    (Institute for Computational and Mathematical Engineering, Stanford School of Engineering, Stanford, California 94305)

  • Daniela Saban

    (Operations, Information & Technology, Stanford Graduate School of Business, Stanford, California 94305)

  • Gabriel Weintraub

    (Operations, Information & Technology, Stanford Graduate School of Business, Stanford, California 94305)

Abstract

Problem definition : We consider the mechanism design problem of finding an optimal pay-as-bid mechanism in which a platform chooses an assortment of suppliers to balance the tradeoff between two objectives: providing enough variety to accommodate heterogeneous buyers, yet at low prices. Academic/practical relevance : Modern buying channels, including e-commerce and public procurement, often consist of a platform that mediates transactions. Frequently, these platforms implement simple and transparent mechanisms to induce suppliers’ direct participation, which typically results in pay-as-bid (or first-price) mechanisms where suppliers set their prices. Methodology : We introduce a novel class of assortment mechanisms that we call k -soft reserves ( k -SRs): If at least k suppliers choose a price below the soft-reserve price, then only those suppliers are added to the assortment; otherwise, all the suppliers are added. Results : We show the optimality of k -SRs for a class of stylized symmetric models to derive the intuition behind these mechanisms. Then, through extensive numerical simulations, we provide evidence of the robustness of k -SRs in more general and realistic settings. Managerial implications : Our results give intuitive and simple-to-use prescriptions on how to optimize pay-as-bid assortment mechanisms in practice, with an emphasis on public procurement settings.

Suggested Citation

  • Je-ok Choi & Daniela Saban & Gabriel Weintraub, 2023. "The Design of Optimal Pay-as-Bid Procurement Mechanisms," Manufacturing & Service Operations Management, INFORMS, vol. 25(2), pages 613-630, March.
  • Handle: RePEc:inm:ormsom:v:25:y:2023:i:2:p:613-630
    DOI: 10.1287/msom.2022.1180
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