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Dynamic Pricing Patterns on an Internet Distribution Channel: The Case Study of Bilbao’s Hotels in 2013

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Abstract

The price is the single, most efficient tool that hoteliers have to adjust the demand and the offer in the short term. Dynamic pricing is the practice of changing the price charged for a product based on time. Using hotel room price data collected from an Internet distribution channel, this paper presents the research carried out to investigate the dynamic pricing practices of the hotels in Bilbao. The analysis shows that these hotels favour two price-changing patterns. The first pattern refers to the practice of changing a number of prices for contiguous, future target dates on the same date. The second pattern refers to the practice of changing the price a set number of days in advance of the target date (i.e. at a specific lag-day).

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References

  • Abrate, G., Fraquelli, G., & Viglia, G. (2012). Dynamic pricing strategies: Evidence from European hotels. International Journal of Hospitality Management, 31(1), 160–168.

    Article  Google Scholar 

  • Bitran, G., & Caldentey, R. (2003). Commissioned paper: An overview of pricing models for revenue management. Manufacturing & Service Operations Management, 5(3), 203–229.

    Article  Google Scholar 

  • El Haddad, R., Roper, A., & Jones, P. (2008). The impact of revenue management decisions on customers attitudes and behaviours: A case study of a leading UK budget hotel chain. EuroCHRIE Conference 2008, Dubai.

    Google Scholar 

  • Etzioni, O., Tuchinda, R., Knoblock, C. A., & Yates, A. (2003). To buy or not to buy: Mining airfare data to minimize ticket purchase price. In 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 119–128). Washington, DC.

    Google Scholar 

  • Haensel, A., & Koole, G. (2011). Booking horizon forecasting with dynamic updating: A case study of hotel reservation data. International Journal of Forecasting, 27(3), 942–960.

    Article  Google Scholar 

  • Ivanov, S., & Zhechev, V. (2012). Hotel revenue management – A critical literature review. TOURISM, 60(2), 175–198.

    Google Scholar 

  • Kim, W. G., & Kim, D. J. (2004). Factors affecting online hotel reservation intention between online and non-online customers. International Journal of Hospitality Management, 23(4), 381–395.

    Article  Google Scholar 

  • Kimes, S. E., & Wirtz, J. (2003). Has revenue management become acceptable? Journal of Service Research, 6(2), 125–135.

    Article  Google Scholar 

  • Lockyer, T. (2005). The perceived importance of price as one hotel selection dimension. Tourism Management, 26(4), 529–537.

    Article  Google Scholar 

  • Magnini, V. P., & Karande, K. (2011). Understanding consumer services buyers based upon their purchase channel. Journal of Business Research, 64(6), 543–550.

    Article  Google Scholar 

  • Möller, M., & Watanabe, M. (2010). Advance purchase discounts versus clearance sales. The Economic Journal, 120(547), 1125–1148.

    Article  Google Scholar 

  • PKF Hospitality Research. (2010). Assessing accuracy: Hotel horizons forecast. PKF Consulting.

    Google Scholar 

  • Roman, I. (2012). Measuring the influence of events in hotel room prices. Master’s thesis, Universidad del País Vasco-Euskal Herriko Unibertsitatea.

    Google Scholar 

  • Roman, I., Ibarguren, I., Gerrikagoitia, J. K., Torres-Manzanera, E. (2013). Measurement of the hotel average daily rate using internet distribution systems. e-Review of Tourism Research, 4.

    Google Scholar 

  • Song, H., & Li, G. (2008). Tourism demand modelling and forecasting: A review of recent research. Tourism Management, 29(2), 203–220.

    Article  Google Scholar 

  • Tanford, S., Raab, C., & Kim, Y.-S. (2012). Determinants of customer loyalty and purchasing behavior for full-service and limited-service hotels. International Journal of Hospitality Management, 31(2), 319–328.

    Article  Google Scholar 

  • Tso, A., & Law, R. (2005). Analysing the online pricing practices of hotels in Hong Kong. International Journal of Hospitality Management, 24(2), 301–307.

    Article  Google Scholar 

  • Walchhofer, N., Fröschl, K. A., Dippelreiter, B., Pöttler, M., & Werthner, H. (2009). Semamo: An approach to semantic market monitoring. Journal of IT & Tourism, 11(3), 197–209.

    Google Scholar 

  • Walchhofer, N., Hronsky, M., & Froeschl, K. (2009). The online market observatory: A domain model approach. In: 2009 3rd International Conference on Knowledge Science, Engineering and Management (KSEM) (pp. 229–240). Berlin: Springer.

    Google Scholar 

  • Wöber, K. W. (1998). TourMIS: An adaptive distributed marketing information system for strategic decision support in national, regional, or city tourist offices. Pacific Tourism Review, 2, 273–286.

    Google Scholar 

  • Wöber, K. W. (2003). Information supply in tourism management by marketing decision support systems. Tourism Management, 24(3), 241–255.

    Article  Google Scholar 

  • Wong, J., & Law, R. (2005). Analysing the intention to purchase on hotel websites: a study of travellers to Hong Kong. International Journal of Hospitality Management, 24(3), 311–329.

    Article  Google Scholar 

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Correspondence to Noelia Oses Fernandez .

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Fernandez, N.O., Gerrikagoitia, J.K., Alzua-Sorzabal, A. (2015). Dynamic Pricing Patterns on an Internet Distribution Channel: The Case Study of Bilbao’s Hotels in 2013. In: Tussyadiah, I., Inversini, A. (eds) Information and Communication Technologies in Tourism 2015. Springer, Cham. https://doi.org/10.1007/978-3-319-14343-9_53

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