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Application of online booking data to hotel revenue management

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  • Saito, Taiga
  • Takahashi, Akihiko
  • Koide, Noriaki
  • Ichifuji, Yu

Abstract

This paper presents an application of online booking data, comprised of big data crawled from a hotel booking website to hotel revenue management. It is important to build a quantitative revenue management method for online hotel booking systems incorporating overbooking strategies, because of increasing numbers of bookings through online booking websites and last-minute cancellations, which cause serious damage to hotel management. We construct a quantitative overbooking model for online booking systems combined with customers’ choice behaviors estimated from the data. Firstly, we present the overbooking model for online booking systems. Secondly, we estimate the choice behaviors of the customers from the online booking data by a discrete choice model. Thirdly, combining the estimated discrete choice model with the theoretical overbooking model, we investigate the expected sales maximization problem where we numerically solve the optimal overbooking level and room charge. Finally, we provide numerical examples of the optimal overbooking strategies and room charges using online booking data of two major luxury hotels in Shinjuku ward, Tokyo. This method, which utilizes online booking data available by crawling from booking websites, helps hotels obtain an optimal room charge and overbooking level maximizing the expected sales.

Suggested Citation

  • Saito, Taiga & Takahashi, Akihiko & Koide, Noriaki & Ichifuji, Yu, 2019. "Application of online booking data to hotel revenue management," International Journal of Information Management, Elsevier, vol. 46(C), pages 37-53.
    • Handle: RePEc:eee:ininma:v:46:y:2019:i:c:p:37-53
    DOI: 10.1016/j.ijinfomgt.2018.11.003
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    1. Garrido-Moreno, Aurora & Padilla-Meléndez, Antonio, 2011. "Analyzing the impact of knowledge management on CRM success: The mediating effects of organizational factors," International Journal of Information Management, Elsevier, vol. 31(5), pages 437-444.
    2. 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.
    3. Koide, Takeshi & Ishii, Hiroaki, 2005. "The hotel yield management with two types of room prices, overbooking and cancellations," International Journal of Production Economics, Elsevier, vol. 93(1), pages 417-428, January.
    4. Shiau, Wen-Lung & Dwivedi, Yogesh K. & Lai, He-Hong, 2018. "Examining the core knowledge on facebook," International Journal of Information Management, Elsevier, vol. 43(C), pages 52-63.
    5. Kawaljeet Kaur Kapoor & Kuttimani Tamilmani & Nripendra P. Rana & Pushp Patil & Yogesh K. Dwivedi & Sridhar Nerur, 2018. "Advances in Social Media Research: Past, Present and Future," Information Systems Frontiers, Springer, vol. 20(3), pages 531-558, June.
    6. Duro, Juan Antonio, 2016. "Seasonality of hotel demand in the main Spanish provinces: Measurements and decomposition exercises," Tourism Management, Elsevier, vol. 52(C), pages 52-63.
    7. Xu, Xun & Wang, Xuequn & Li, Yibai & Haghighi, Mohammad, 2017. "Business intelligence in online customer textual reviews: Understanding consumer perceptions and influential factors," International Journal of Information Management, Elsevier, vol. 37(6), pages 673-683.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    9. Hu, Ya-Han & Chen, Kuanchin, 2016. "Predicting hotel review helpfulness: The impact of review visibility, and interaction between hotel stars and review ratings," International Journal of Information Management, Elsevier, vol. 36(6), pages 929-944.
    10. Sierag, D.D. & Koole, G.M. & van der Mei, R.D. & van der Rest, J.I. & Zwart, B., 2015. "Revenue management under customer choice behaviour with cancellations and overbooking," European Journal of Operational Research, Elsevier, vol. 246(1), pages 170-185.
    11. Varda Liberman & Uri Yechiali, 1978. "On the Hotel Overbooking Problem--An Inventory System with Stochastic Cancellations," Management Science, INFORMS, vol. 24(11), pages 1117-1126, July.
    12. Ozturk, Ahmet Bulent & Bilgihan, Anil & Nusair, Khaldoon & Okumus, Fevzi, 2016. "What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience," International Journal of Information Management, Elsevier, vol. 36(6), pages 1350-1359.
    13. Abrate, Graziano & Viglia, Giampaolo, 2016. "Strategic and tactical price decisions in hotel revenue management," Tourism Management, Elsevier, vol. 55(C), pages 123-132.
    14. Neirotti, Paolo & Raguseo, Elisabetta & Paolucci, Emilio, 2016. "Are customers’ reviews creating value in the hospitality industry? Exploring the moderating effects of market positioning," International Journal of Information Management, Elsevier, vol. 36(6), pages 1133-1143.
    15. Kim, Jin-Young & Hlee, Sunyoung & Joun, Youhee, 2016. "Green practices of the hotel industry: Analysis through the windows of smart tourism system," International Journal of Information Management, Elsevier, vol. 36(6), pages 1340-1349.
    16. Dirk Sierag & Jean-Pierre Van Der Rest & Ger Koole & Rob Van Der Mei & Bert Zwart, 2017. "A call for exploratory data analysis in revenue management forecasting: a case study of a small and independent hotel in The Netherlands," International Journal of Revenue Management, Inderscience Enterprises Ltd, vol. 10(1), pages 28-51.
    17. Shiau, Wen-Lung & Dwivedi, Yogesh K. & Yang, Han Suan, 2017. "Co-citation and cluster analyses of extant literature on social networks," International Journal of Information Management, Elsevier, vol. 37(5), pages 390-399.
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    Cited by:

    1. Taiga Saito & Shivam Gupta, 2022. "Big Data Applications with Theoretical Models and Social Media in Financial Management," CIRJE F-Series CIRJE-F-1205, CIRJE, Faculty of Economics, University of Tokyo.
    2. Taiga Saito & Shivam Gupta, 2022. "Big data applications with theoretical models and social media in financial management," CARF F-Series CARF-F-550, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    3. Xiang Zhao & Xinghua Shan & Jinfei Wu, 2023. "The Impact of Seat Resource Fragmentation on Railway Network Revenue Management," Networks and Spatial Economics, Springer, vol. 23(1), pages 135-177, March.
    4. John V. Colias & Stella Park & Elizabeth Horn, 2023. "Optimizing B2B Product Offers with Machine Learning, Mixed Logit, and Nonlinear Programming," Papers 2308.07830, arXiv.org.

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