IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v25y2019i5p670-694.html
   My bibliography  Save this article

Online hotel demand model and own-price elasticities: An empirical application in a mature resort destination

Author

Listed:
  • Aldric Vives

    (University of the Balearic Islands, Spain)

  • Marta Jacob

    (University of the Balearic Islands, Spain)

  • Eugeni Aguiló

    (University of the Balearic Islands, Spain)

Abstract

Pricing is a basic strategic tool in hotel revenue management (RM). This study proposes a particular demand function model for resort hotels for measuring their own-price elasticities, along with the different seasonal demands, and across the booking horizons. The model is applied to the online transient demand for two hotels in Majorca – a well-known, mature mass tourism destination – in order to estimate and compare different elasticities, which could be used by RM departments to correctly manage prices in the short run and establish optimum pricing strategies (over the medium and long run). The results show that the two hotels display completely different own-price elasticities during high season, while during low season, demand is quite inelastic at both hotels; secondly, common price variations among seasons or hotels may sometimes be an erroneous pricing strategy, such as the common early booking strategy. The model is easily adaptable to different hotels.

Suggested Citation

  • Aldric Vives & Marta Jacob & Eugeni Aguiló, 2019. "Online hotel demand model and own-price elasticities: An empirical application in a mature resort destination," Tourism Economics, , vol. 25(5), pages 670-694, August.
  • Handle: RePEc:sae:toueco:v:25:y:2019:i:5:p:670-694
    DOI: 10.1177/1354816618800643
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1354816618800643
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1354816618800643?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. Cheng, Chia-Kuen & Li, Xiang (Robert) & Petrick, James F. & O'Leary, Joseph T., 2011. "An examination of tourism journal development," Tourism Management, Elsevier, vol. 32(1), pages 53-61.
    3. Tudor Bodea & Mark Ferguson & Laurie Garrow, 2009. "Data Set--Choice-Based Revenue Management: Data from a Major Hotel Chain," Manufacturing & Service Operations Management, INFORMS, vol. 11(2), pages 356-361, December.
    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. Chris K. Anderson & Xiaoqing (Kristine) Xie, 2016. "Dynamic pricing in hospitality: overview and opportunities," International Journal of Revenue Management, Inderscience Enterprises Ltd, vol. 9(2/3), pages 165-174.
    6. Suzuki, Yoshinori & Tyworth, John E. & Novack, Robert A., 2001. "Airline market share and customer service quality: a reference-dependent model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 773-788, November.
    7. Badinelli, Ralph D., 2000. "An optimal, dynamic policy for hotel yield management," European Journal of Operational Research, Elsevier, vol. 121(3), pages 476-503, March.
    8. Catalina Juaneda & Josep Maria Raya & Francesc Sastre, 2011. "Pricing the Time and Location of a Stay at a Hotel or Apartment," Tourism Economics, , vol. 17(2), pages 321-338, April.
    9. Kalyan Talluri & Garrett van Ryzin, 2004. "Revenue Management Under a General Discrete Choice Model of Consumer Behavior," Management Science, INFORMS, vol. 50(1), pages 15-33, January.
    10. Yalç{i}n Akçay & Harihara Prasad Natarajan & Susan H. Xu, 2010. "Joint Dynamic Pricing of Multiple Perishable Products Under Consumer Choice," Management Science, INFORMS, vol. 56(8), pages 1345-1361, August.
    11. Chatwin, Richard E., 2000. "Optimal dynamic pricing of perishable products with stochastic demand and a finite set of prices," European Journal of Operational Research, Elsevier, vol. 125(1), pages 149-174, August.
    12. Youyi Feng & Baichun Xiao, 2000. "Optimal Policies of Yield Management with Multiple Predetermined Prices," Operations Research, INFORMS, vol. 48(2), pages 332-343, April.
    13. Shy,Oz, 2008. "How to Price," Cambridge Books, Cambridge University Press, number 9780521715645.
    14. Narangajavana, Yeamduan & Garrigos-Simon, Fernando J. & García, Javier Sanchez & Forgas-Coll, Santiago, 2014. "Prices, prices and prices: A study in the airline sector," Tourism Management, Elsevier, vol. 41(C), pages 28-42.
    15. P.M. Aguiló & J. Alegre & A. Riera, 2001. "Determinants of the Price of German Tourist Packages on the Island of Mallorca," Tourism Economics, , vol. 7(1), pages 59-74, March.
    16. Abrate, Graziano & Viglia, Giampaolo, 2016. "Strategic and tactical price decisions in hotel revenue management," Tourism Management, Elsevier, vol. 55(C), pages 123-132.
    17. Miguel Angel Ropero, 2011. "Dynamic Pricing Policies of Hotel Establishments in an Online Travel Agency," Tourism Economics, , vol. 17(5), pages 1087-1102, October.
    18. Pachon, Julian & Erkoc, Murat & Iakovou, Eleftherios, 2007. "Contract optimization with front-end fare discounts for airline corporate deals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(4), pages 425-441, July.
    19. 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.
    20. Eugeni Aguiló & Joaquín Alegre & Maria Sard, 2003. "Examining the Market Structure of the German and UK Tour Operating Industries through an Analysis of Package Holiday Prices," Tourism Economics, , vol. 9(3), pages 255-278, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. MATSUURA Toshiyuki & SAITO Hisamitsu, 2021. "Designing a Tourism Stimulus During the COVID-19 Pandemic in Japan," Discussion papers 21012, Research Institute of Economy, Trade and Industry (RIETI).
    2. Meng-Ying Wang & Li-Chen Chou, 2024. "Evaluating information asymmetry effects on hotel pricing: a comparative analysis before and during the COVID-19 pandemic in the Taiwan’s market," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    3. Yifei Jiang & Honglei Zhang & Xianting Cao & Ge Wei & Yang Yang, 2023. "How to better incorporate geographic variation in Airbnb price modeling?," Tourism Economics, , vol. 29(5), pages 1181-1203, August.
    4. Martin Petricek & Stepan Chalupa & Karel Chadt, 2020. "Identification of Consumer Behavior Based on Price Elasticity: A Case Study of the Prague Market of Accommodation Services," Sustainability, MDPI, vol. 12(22), pages 1-14, November.
    5. Matsuura, Toshiyuki & Saito, Hisamitsu, 2022. "The COVID-19 pandemic and domestic travel subsidies," Annals of Tourism Research, Elsevier, vol. 92(C).
    6. Aldric Vives & Marta Jacob, 2021. "Dynamic pricing in different Spanish resort hotels," Tourism Economics, , vol. 27(2), pages 398-411, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Martin Petricek & Stepan Chalupa & Karel Chadt, 2020. "Identification of Consumer Behavior Based on Price Elasticity: A Case Study of the Prague Market of Accommodation Services," Sustainability, MDPI, vol. 12(22), pages 1-14, November.
    3. Martin Petricek & Stepan Chalupa & David Melas, 2021. "Model of Price Optimization as a Part of Hotel Revenue Management—Stochastic Approach," Mathematics, MDPI, vol. 9(13), pages 1-16, July.
    4. Ibrahim Mohammed & Basak Denizci Guillet & Rob Law & Wassiuw Abdul Rahaman, 2021. "Predicting the direction of dynamic price adjustment in the Hong Kong hotel industry," Tourism Economics, , vol. 27(2), pages 346-364, March.
    5. Yongbo Xiao & Jian Chen, 2014. "Evaluating the potential effects from probabilistic selling of similar products," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(8), pages 604-620, December.
    6. Wei, Yihua & Xu, Chen & Hu, Qiying, 2013. "Transformation of optimization problems in revenue management, queueing system, and supply chain management," International Journal of Production Economics, Elsevier, vol. 146(2), pages 588-597.
    7. Chen, Jing & Dong, Ming & Rong, Ying & Yang, Liang, 2018. "Dynamic pricing for deteriorating products with menu cost," Omega, Elsevier, vol. 75(C), pages 13-26.
    8. Hu, Qiying & Wei, Yihua & Xia, Yusen, 2010. "Revenue management for a supply chain with two streams of customers," European Journal of Operational Research, Elsevier, vol. 200(2), pages 582-598, January.
    9. Wang, Xiubin & Regan, Amelia, 2006. "Dynamic yield management when aircraft assignments are subject to swap," Transportation Research Part B: Methodological, Elsevier, vol. 40(7), pages 563-576, August.
    10. Chew, Ek Peng & Lee, Chulung & Liu, Rujing, 2009. "Joint inventory allocation and pricing decisions for perishable products," International Journal of Production Economics, Elsevier, vol. 120(1), pages 139-150, July.
    11. Syed Asif Raza & Rafi Ashrafi & Ali Akgunduz, 2020. "A bibliometric analysis of revenue management in airline industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(6), pages 436-465, December.
    12. Cao, Ping & Li, Jianbin & Yan, Hong, 2012. "Optimal dynamic pricing of inventories with stochastic demand and discounted criterion," European Journal of Operational Research, Elsevier, vol. 217(3), pages 580-588.
    13. Nadia El-Nemr & Béatrice Canel-Depitre & Atour Taghipour, 2017. "Determinants Of Hotel Room Rates," Post-Print hal-02332636, HAL.
    14. Alegre, Joaquín & Sard, Maria, 2015. "When demand drops and prices rise. Tourist packages in the Balearic Islands during the economic crisis," Tourism Management, Elsevier, vol. 46(C), pages 375-385.
    15. Loïc Lévi & Jean Jacques Nowak & Sylvain Petit & Hakim Hammadou, 2022. "Industrial legacy and hotel pricing: An application of spatial hedonic pricing analysis in Nord-Pas-de-Calais, France," Tourism Economics, , vol. 28(4), pages 870-898, June.
    16. Dan Zhang & Larry Weatherford, 2017. "Dynamic Pricing for Network Revenue Management: A New Approach and Application in the Hotel Industry," INFORMS Journal on Computing, INFORMS, vol. 29(1), pages 18-35, February.
    17. Abrate, Graziano & Capriello, Antonella & Fraquelli, Giovanni, 2011. "When quality signals talk: Evidence from the Turin hotel industry," Tourism Management, Elsevier, vol. 32(4), pages 912-921.
    18. de la Peña, Mario Raúl & Núñez-Serrano, Juan A. & Turrión, Jaime & Velázquez, Francisco J., 2016. "Are innovations relevant for consumers in the hospitality industry? A hedonic approach for Cuban hotels," Tourism Management, Elsevier, vol. 55(C), pages 184-196.
    19. Aldric Vives & Marta Jacob, 2021. "Dynamic pricing in different Spanish resort hotels," Tourism Economics, , vol. 27(2), pages 398-411, March.
    20. Guillermo Gallego & Michael Z. F. Li & Yan Liu, 2020. "Dynamic Nonlinear Pricing of Inventories over Finite Sales Horizons," Operations Research, INFORMS, vol. 68(3), pages 655-670, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:toueco:v:25:y:2019:i:5:p:670-694. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.