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Space Booking with Multistage Online VCG Mechanism: A Simulation Study Toward Practical Application

Author

Listed:
  • Bingxin Du

    (Department of Technology Management for Innovation, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan)

  • Nariaki Nishino

    (Department of Technology Management for Innovation, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan)

  • Koji Kimita

    (Department of Technology Management for Innovation, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan)

Abstract

Most current reservation systems include only time slots as reservation information. Customers need only to make a reservation by choosing a proper time. The value generated by a reservation is unknown until the customers are served. Therefore, an important shortcoming of current reservation systems is that they require limited information from customers, engendering a loss of social welfare. We surmise that an innovative reservation system including space value can produce more desired outcomes by considering various factors, such as social distancing during a pandemic. Based on that supposition, we adopt the Vickrey–Clarke–Groves (VCG) mechanism to achieve social welfare maximization and strategy-proofness. To offset VCG mechanism shortcomings in practical applications, we converted the VCG mechanism to a multistage online VCG mechanism that can do timely processing of customers’ reservations and can thereby maximize social welfare. The multistage online VCG mechanism generates higher social welfare than most current reservation systems, which use a first-come, first-served mechanism. Additionally, we demonstrate that, by adjusting the VCG mechanism bid number to a practical level, the reservation process can be improved considerably with a probability of more than 99% for satisfying the strategy-proofness of the VCG mechanism.

Suggested Citation

  • Bingxin Du & Nariaki Nishino & Koji Kimita, 2024. "Space Booking with Multistage Online VCG Mechanism: A Simulation Study Toward Practical Application," Service Science, INFORMS, vol. 16(2), pages 107-123, June.
  • Handle: RePEc:inm:orserv:v:16:y:2024:i:2:p:107-123
    DOI: 10.1287/serv.2022.0020
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    References listed on IDEAS

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    1. Faizan Ali & Seden Dogan & Muslim Amin & Kashif Hussain & Kisang Ryu, 2021. "Brand anthropomorphism, love and defense: does attitude towards social distancing matter?," The Service Industries Journal, Taylor & Francis Journals, vol. 41(1-2), pages 58-83, January.
    2. Michael H. Rothkopf, 2007. "Thirteen Reasons Why the Vickrey-Clarke-Groves Process Is Not Practical," Operations Research, INFORMS, vol. 55(2), pages 191-197, April.
    3. Wenchang Zhu & Huseyin Topaloglu, 2024. "Performance Guarantees for Network Revenue Management with Flexible Products," Manufacturing & Service Operations Management, INFORMS, vol. 26(1), pages 252-270, January.
    4. Dimitris Bertsimas & Romy Shioda, 2003. "Restaurant Revenue Management," Operations Research, INFORMS, vol. 51(3), pages 472-486, June.
    5. William Vickrey, 1961. "Counterspeculation, Auctions, And Competitive Sealed Tenders," Journal of Finance, American Finance Association, vol. 16(1), pages 8-37, March.
    6. Haeringer, Guillaume, 2018. "Market Design: Auctions and Matching," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262037548, December.
    7. Edward Clarke, 1971. "Multipart pricing of public goods," Public Choice, Springer, vol. 11(1), pages 17-33, September.
    8. Shan Wang & Nan Liu & Guohua Wan, 2020. "Managing Appointment-Based Services in the Presence of Walk-in Customers," Management Science, INFORMS, vol. 66(2), pages 667-686, February.
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