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Revenue management under joint pricing and capacity allocation competition

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  • Zhao, Xuan
  • Atkins, Derek
  • Hu, Ming
  • Zhang, Wensi

Abstract

We investigate joint pricing and capacity allocation decisions of a duopoly, each of which competes in selling a fixed amount of substitutable perishable goods in both early discount and regular full-fare markets with demand uncertainty. Upon a firm’s stockout, unsatisfied demand spillovers to the competitor, depending on the substitutability of products offered by the two firms. We first show that there exists a pure-strategy Nash equilibrium. For identical firms, there exists a unique pure-strategy Nash equilibrium that is symmetric. Then we study how firms’ pricing and capacity allocation decisions depend on operational and market conditions. In particular, we show that more cut-throat competition in the full-fare market never leads to a rise in the price and a fall in the protection level simultaneously in the full-fare market. We demonstrate a similar result of comparative statics for the competition intensity in the discount market. In comparison with a monopolist’s optimal decision, a duopoly equilibrium never results in a situation that definitely benefits the full-fare consumers in both dimensions of price and availability. Finally, we examine how the adoption of early discount, as practiced in the airline industry, may benefit competing firms. When one of the two firms first introduces early discount sales, we find that there is a “free-ride” effect for the other firm. Interestingly, the “free-rider” can benefit more than the adopter, especially with stronger competition.

Suggested Citation

  • Zhao, Xuan & Atkins, Derek & Hu, Ming & Zhang, Wensi, 2017. "Revenue management under joint pricing and capacity allocation competition," European Journal of Operational Research, Elsevier, vol. 257(3), pages 957-970.
  • Handle: RePEc:eee:ejores:v:257:y:2017:i:3:p:957-970
    DOI: 10.1016/j.ejor.2016.08.025
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    References listed on IDEAS

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    1. Gérard P. Cachon & Robert Swinney, 2009. "Purchasing, Pricing, and Quick Response in the Presence of Strategic Consumers," Management Science, INFORMS, vol. 55(3), pages 497-511, March.
    2. Qian Liu & Garrett J. van Ryzin, 2008. "Strategic Capacity Rationing to Induce Early Purchases," Management Science, INFORMS, vol. 54(6), pages 1115-1131, June.
    3. Serguei Netessine & Robert A. Shumsky, 2005. "Revenue Management Games: Horizontal and Vertical Competition," Management Science, INFORMS, vol. 51(5), pages 813-831, May.
    4. Elodie Adida & Georgia Perakis, 2010. "Dynamic Pricing and Inventory Control: Uncertainty and Competition," Operations Research, INFORMS, vol. 58(2), pages 289-302, April.
    5. Christopher S. Tang & Kumar Rajaram & Ayd{i}n Alptekinou{g}lu & Jihong Ou, 2004. "The Benefits of Advance Booking Discount Programs: Model and Analysis," Management Science, INFORMS, vol. 50(4), pages 465-478, April.
    6. Nils Rudi & Sandeep Kapur & David F. Pyke, 2001. "A Two-Location Inventory Model with Transshipment and Local Decision Making," Management Science, INFORMS, vol. 47(12), pages 1668-1680, December.
    7. Guillermo Gallego & Ming Hu, 2014. "Dynamic Pricing of Perishable Assets Under Competition," Management Science, INFORMS, vol. 60(5), pages 1241-1259, May.
    8. Xiaowei Xu & Wallace J. Hopp, 2006. "A Monopolistic and Oligopolistic Stochastic Flow Revenue Management Model," Operations Research, INFORMS, vol. 54(6), pages 1098-1109, December.
    9. Nicholas C. Petruzzi & Maqbool Dada, 1999. "Pricing and the Newsvendor Problem: A Review with Extensions," Operations Research, INFORMS, vol. 47(2), pages 183-194, April.
    10. Kevin McCardle & Kumar Rajaram & Christopher S. Tang, 2004. "Advance Booking Discount Programs Under Retail Competition," Management Science, INFORMS, vol. 50(5), pages 701-708, May.
    11. Michael Salinger & Miguel Ampudia, 2011. "Simple Economics of the Price-Setting Newsvendor Problem," Management Science, INFORMS, vol. 57(11), pages 1996-1998, November.
    12. Gal Raz & Evan L. Porteus, 2006. "A Fractiles Perspective to the Joint Price/Quantity Newsvendor Model," Management Science, INFORMS, vol. 52(11), pages 1764-1777, November.
    13. Serguei Netessine & Nils Rudi, 2003. "Centralized and Competitive Inventory Models with Demand Substitution," Operations Research, INFORMS, vol. 51(2), pages 329-335, April.
    14. Xuan Zhao & Derek R. Atkins, 2008. "Newsvendors Under Simultaneous Price and Inventory Competition," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 539-546, September.
    15. Siddharth Mahajan & Garrett van Ryzin, 2001. "Inventory Competition Under Dynamic Consumer Choice," Operations Research, INFORMS, vol. 49(5), pages 646-657, October.
    16. Grauberger, W. & Kimms, A., 2014. "Computing approximate Nash equilibria in general network revenue management games," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1008-1020.
    17. Belobaba, Peter P. & Wilson, John L., 1997. "Impacts of yield management in competitive airline markets," Journal of Air Transport Management, Elsevier, vol. 3(1), pages 3-9.
    18. 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.
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    3. Zhu, Chenbo & Hu, JianQiang, 2020. "Revenue management games with government mandate," Omega, Elsevier, vol. 93(C).
    4. Taherkhani, Gita & Bilegan, Ioana C. & Crainic, Teodor Gabriel & Gendreau, Michel & Rei, Walter, 2022. "Tactical capacity planning in an integrated multi-stakeholder freight transportation system," Omega, Elsevier, vol. 110(C).
    5. Sato, Kimitoshi, 2019. "Price Trends and Dynamic Pricing in Perishable Product Market Consisting of Superior and Inferior Firms," European Journal of Operational Research, Elsevier, vol. 274(1), pages 214-226.
    6. Liu, Yezheng & Qian, Yang & Jiang, Yuanchun & Shang, Jennifer, 2020. "Using favorite data to analyze asymmetric competition: Machine learning models," European Journal of Operational Research, Elsevier, vol. 287(2), pages 600-615.
    7. Wenzhu Zhang & Yue Dai & Lin Tian, 2021. "Pricing strategies for competitive firms with indirect network effects," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 547-581, June.
    8. Güler, Kemal & Körpeoğlu, Evren & Şen, Alper, 2018. "Newsvendor competition under asymmetric cost information," European Journal of Operational Research, Elsevier, vol. 271(2), pages 561-576.
    9. Yu, Shunan & Yang, Zhongzhen & Zhang, Wei, 2019. "Differential pricing strategies of air freight transport carriers in the spot market," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 9-15.
    10. Torsten J. Gerpott & Jan Berends, 2022. "Competitive pricing on online markets: a literature review," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(6), pages 596-622, December.
    11. Doraid Dalalah & Mohammad Khasawneh & Sharafuddin Khan, 2022. "Pricing and demand management of air tickets using a multiplicative newsvendor model," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(5), pages 517-528, October.

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