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Capacity Allocation of Game Tickets Using Dynamic Pricing

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  • Aniruddha Dutta

    (Haas School of Business, University of California, Berkeley, CA 94704, USA
    Smith School of Business, Queen’s University, Kingston, ON K7L 3N6, Canada)

Abstract

This study examines a pricing approach that is applicable in the field of online ticket sales for game tickets. The mathematical principle of dynamic programing is combined with empirical data analysis to determine demand functions for university football game tickets. Based on the calculated demand functions, the application of DP strategies is found to generate more revenues than a fixed price strategy. The other important result is the capacity distribution of tickets according to the football game intensity. Prior studies have shown that it is sometimes more profitable or football clubs to allocate a share of tickets to a retailer and earn a commission based on the sales, rather than selling the entire capacity of tickets by itself. This paper finds that in a high intensity game, where the demand is generally high, it is optimal for the club to sell all tickets by itself. Whereas, for less popular games, where there is considerable fluctuation in demand, the capacity allocation problem for maximized revenues from ticket sales, becomes a harder optimization challenge for the club. According to DP optimization, when the demand for tickets is relatively low, it is optimal for the club to retain 20–40% of the tickets and the rest of the capacity should be sold to online retailers. In the real world, this pricing technique has been used by football clubs and thus the secondary market online retailers like Ticketmaster and Vivid Seats have become popular in the last decade.

Suggested Citation

  • Aniruddha Dutta, 2019. "Capacity Allocation of Game Tickets Using Dynamic Pricing," Data, MDPI, vol. 4(4), pages 1-12, October.
  • Handle: RePEc:gam:jdataj:v:4:y:2019:i:4:p:141-:d:278057
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    References listed on IDEAS

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    1. McDonald P. Mirabile, 2015. "The Determinants of Attendance at Neutral Site College Football Games," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 36(3), pages 191-204, April.
    2. Peter P. Belobaba, 1987. "Survey Paper---Airline Yield Management An Overview of Seat Inventory Control," Transportation Science, INFORMS, vol. 21(2), pages 63-73, May.
    3. Guillermo Gallego & Garrett van Ryzin, 1997. "A Multiproduct Dynamic Pricing Problem and Its Applications to Network Yield Management," Operations Research, INFORMS, vol. 45(1), pages 24-41, February.
    4. Guillermo Gallego & Garrett van Ryzin, 1994. "Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons," Management Science, INFORMS, vol. 40(8), pages 999-1020, August.
    5. Matthias Peiss & Roland Kirstein, 2014. "Optimal ticket pricing in professional sports: a social identity approach," Economics Bulletin, AccessEcon, vol. 34(4), pages 2138-2150.
    6. Tak C. Lee & Marvin Hersh, 1993. "A Model for Dynamic Airline Seat Inventory Control with Multiple Seat Bookings," Transportation Science, INFORMS, vol. 27(3), pages 252-265, August.
    7. John D. Burger & Stephen J. K. Walters, 2003. "Market Size, Pay, and Performance," Journal of Sports Economics, , vol. 4(2), pages 108-125, May.
    8. Matt Pinnuck & Brad Potter, 2006. "Impact of on‐field football success on the off‐field financial performance of AFL football clubs," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 46(3), pages 499-517, September.
    9. Lin, Kyle Y., 2006. "Dynamic pricing with real-time demand learning," European Journal of Operational Research, Elsevier, vol. 174(1), pages 522-538, October.
    10. repec:ebl:ecbull:eb-14-00812 is not listed on IDEAS
    11. Michael A. Leeds & Sumi Sakata, 2012. "Take Me Out to the Yakyushiai," Journal of Sports Economics, , vol. 13(1), pages 34-52, February.
    12. Don R. Robinson, 1975. "A Dynamic Programming Solution to Cost-Time Tradeoff for CPM," Management Science, INFORMS, vol. 22(2), pages 158-166, October.
    13. Joris Drayer & Daniel A. Rascher & Chad D. McEvoy, 2012. "An examination of underlying consumer demand and sport pricing using secondary market data," Sport Management Review, Taylor & Francis Journals, vol. 15(4), pages 448-460, October.
    14. David J. Berri & Martin B. Schmidt, 2006. "On the Road With the National Basketball Association's Superstar Externality," Journal of Sports Economics, , vol. 7(4), pages 347-358, November.
    15. Peter P. Belobaba, 1989. "OR Practice—Application of a Probabilistic Decision Model to Airline Seat Inventory Control," Operations Research, INFORMS, vol. 37(2), pages 183-197, April.
    16. Yuri Levin & Jeff McGill & Mikhail Nediak, 2009. "Dynamic Pricing in the Presence of Strategic Consumers and Oligopolistic Competition," Management Science, INFORMS, vol. 55(1), pages 32-46, January.
    17. Anthony C. Krautmann & David J. Berri, 2007. "Can We Find It at the Concessions? Understanding Price Elasticity in Professional Sports," Journal of Sports Economics, , vol. 8(2), pages 183-191, May.
    18. Constantinos Maglaras & Joern Meissner, 2006. "Dynamic Pricing Strategies for Multiproduct Revenue Management Problems," Manufacturing & Service Operations Management, INFORMS, vol. 8(2), pages 136-148, July.
    19. Hausman, Jerry A & Leonard, Gregory K, 1997. "Superstars in the National Basketball Association: Economic Value and Policy," Journal of Labor Economics, University of Chicago Press, vol. 15(4), pages 586-624, October.
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