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Pricing for hotel revenue management: Evolution in an era of price transparency

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  • Breffni M Noone

    (The Pennsylvania State University)

Abstract

The recession of the early 2000s, the emergence of online booking channels and the price transparency afforded by the Internet, coupled with challenges to the basic assumptions underlying traditional revenue management (RM) systems, have fueled significant change in how the hotel RM problem is approached. This article charters the evolution in pricing for hotel RM, from inventory management-based approaches to rate availability, to the emergence of price optimization solutions. It also provides an overview of recent research that explores how consumers use price and non-price information in hotel choice and highlights the impact this may have on pricing for hotel RM.

Suggested Citation

  • Breffni M Noone, 2016. "Pricing for hotel revenue management: Evolution in an era of price transparency," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(3), pages 264-269, July.
  • Handle: RePEc:pal:jorapm:v:15:y:2016:i:3:d:10.1057_rpm.2016.8
    DOI: 10.1057/rpm.2016.8
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    References listed on IDEAS

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    1. Sharon Hormby & Julia Morrison & Prashant Dave & Michele Meyers & Tim Tenca, 2010. "Marriott International Increases Revenue by Implementing a Group Pricing Optimizer," Interfaces, INFORMS, vol. 40(1), pages 47-57, February.
    2. Gabriel R. Bitran & Stephen M. Gilbert, 1996. "Managing Hotel Reservations with Uncertain Arrivals," Operations Research, INFORMS, vol. 44(1), pages 35-49, February.
    3. Dev Koushik & Jon A. Higbie & Craig Eister, 2012. "Retail Price Optimization at InterContinental Hotels Group," Interfaces, INFORMS, vol. 42(1), pages 45-57, February.
    4. Gabriel R. Bitran & Susana V. Mondschein, 1995. "An Application of Yield Management to the Hotel Industry Considering Multiple Day Stays," Operations Research, INFORMS, vol. 43(3), pages 427-443, June.
    5. n/a, 2015. "Book Reviews," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    6. William L. Cooper & Tito Homem-de-Mello & Anton J. Kleywegt, 2006. "Models of the Spiral-Down Effect in Revenue Management," Operations Research, INFORMS, vol. 54(5), pages 968-987, October.
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    Cited by:

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    4. Nestor M. Arguea & Richard R. Hawkins, 2022. "Florida tourist development tax changes and the risk to hotel revenue," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(6), pages 685-690, December.
    5. Uzma Mushtaque & Jennifer A. Pazour, 2020. "Random Utility Models with Cardinality Context Effects for Online Subscription Service Platforms," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(4), pages 276-290, August.
    6. Yunmei Bai & Chun-Hung Tang, 2021. "Determining the optimal group rate in the hotel industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(4), pages 446-456, August.
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