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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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    Cited by:

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    2. Nadia El-Nemr & Béatrice Canel-Depitre & Atour Taghipour, 2017. "Determinants Of Hotel Room Rates," Post-Print hal-02332636, HAL.
    3. Claudio A. Piga & Graziano Abrate & Giampaolo Viglia & Francesca Canio, 2022. "How the hospitality industry reacts to COVID-19: structural, managerial and tactical factors," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(5), pages 503-516, October.
    4. Chen, Ming & Chen, Zhi-Long, 2024. "Stop clicking around and book direct: Impact of best rate guarantee on hotel pricing," European Journal of Operational Research, Elsevier, vol. 313(3), pages 1088-1104.
    5. 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.
    6. 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.
    7. 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.
    8. Kedar Pandurang Joshi & Amol Dhaigude, 2021. "Revenue management for homestay with TODIM-integrated EMSR-b," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(2), pages 134-148, April.
    9. Aldric Vives & Marta Jacob & Marga Payeras, 2018. "Revenue management and price optimization techniques in the hotel sector," Tourism Economics, , vol. 24(6), pages 720-752, September.

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