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Insights into Advanced Dynamic Pricing Systems at Hotel Booking Platforms

  • Michael MöhringEmail author
  • Barbara Keller
  • Rainer Schmidt
Conference paper

Abstract

Hotel booking platforms using different approaches to implement dynamic pricing. Past research was focusing on basic factors of dynamic pricing like time of the booking, quotas, or length of stay management. Approaches using new variables for price determination were not considered in research so far. This research paper is focussing on the advanced dynamic pricing systems of hotel booking platforms in Europe, which are currently implemented as well as under development. Applying a case study research approach, the paper reveals a scientific overview about the current status-quo and the upcoming trends of different dynamic pricing concepts for hotel booking platforms in Europe. First, the understanding of dynamic pricing and its concepts in Tourism and Hospitality are clarified – theoretically, practically as well as in terms of customer behaviour. Following this, new advanced method still under development are investigated. Therefore, opportunities and challenges are shown up and discussed.

Keywords

Hospitality Booking platforms Dynamic pricing Revenue 

References

  1. 1.
    Carroll B, Siguaw J (2003) The evolution of electronic distribution. Cornell Hotel Restaur Adm Q 44(4):38–50CrossRefGoogle Scholar
  2. 2.
    Mattila AS, Gao Y (2016) An examination of popular pricing and price framing techniques in the hospitality industry and directions for future research. Int J Revenue Manag 9(2–3):175–185CrossRefGoogle Scholar
  3. 3.
  4. 4.
    ETOA (2017) What Will the Global Hotel Industry Look Like? http://www.etoa.org/media/all-news/news-item/fast-forward-to-2017. Accessed 29 Sep 2018
  5. 5.
    Eisenmann T, Parker G, Van Alstyne MW (2006) Strategies for two-sided markets. Harv Bus Rev 84(10):92–101Google Scholar
  6. 6.
    Eisenmann TR (2007) managing proprietary and shared platforms: a life-cycle view, division of research. Harvard Business SchoolGoogle Scholar
  7. 7.
    Gallego G, Van Ryzin G (1994) Optimal dynamic pricing of inventories with stochastic demand over finite horizons. Manag Sci 40(8):999–1020CrossRefGoogle Scholar
  8. 8.
    Badinelli RD (2000) An optimal, dynamic policy for hotel yield management. Eur J Oper Res 121(3):476–503CrossRefGoogle Scholar
  9. 9.
    Mattioli D (2012) On orbitz, mac users steered to pricier hotels. Wall Street J https://www.wsj.com/articles/SB10001424052702304458604577488822667325882. Accessed 29 Sep 2018
  10. 10.
    Dodds WB, Monroe KB, Grewal D (1991) Effects of price, brand, and store information on buyers’ product evaluations. J Mark Res 28(3):307–319Google Scholar
  11. 11.
    Hinz O, Hann IH, Spann M (2011) Price discrimination in e-commerce? An examination of dynamic pricing in name-your-own price markets. MIS Q 35(1):81–98CrossRefGoogle Scholar
  12. 12.
    Zeithaml VA (1988) Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. J Market 52(3):2–22CrossRefGoogle Scholar
  13. 13.
    Hallowell R (1996) The relationships of customer satisfaction, customer loyalty, and profitability: an empirical study. Serv Ind Manag 7(4):27–42CrossRefGoogle Scholar
  14. 14.
    Zeithaml VA, Parasuraman A, Berry LL, Berry LL (1990) Delivering quality service: balancing customer perceptions and expectations. Free Press, New YorkGoogle Scholar
  15. 15.
    Denizci Guillet B, Mohammed I (2015) Revenue management research in hospitality and tourism. J Contemp Hosp Manag 27(4):526–560CrossRefGoogle Scholar
  16. 16.
    Ivanova M, Ivanov S, Magnini VP (2016) Handbook of hotel chain managementGoogle Scholar
  17. 17.
    Abrate G, Fraquelli G, Viglia G (2012) Dynamic pricing strategies: evidence from European hotels. Int J Hosp Manag 31(1):160–168CrossRefGoogle Scholar
  18. 18.
    Heo CY, Lee S (2011) Influences of consumer characteristics on fairness perceptions of revenue management pricing in the hotel industry. Int J Hosp Manag 30(2):243–251CrossRefGoogle Scholar
  19. 19.
    Legohérel P, Poutier E, Fyall A (2013) Revenue management for hospitality and tourism. Goodfellow Publishers WoodeatonGoogle Scholar
  20. 20.
    Guadix J, Cortés P, Onieva L, Muñuzuri J (2010) Technology revenue management system for customer groups in hotels. J Bus Res 63(5):519–527CrossRefGoogle Scholar
  21. 21.
    Kimes SE, Wirtz J (2003) Has revenue management become acceptable? J Serv Res 6(2):125–135CrossRefGoogle Scholar
  22. 22.
    Ivanova M, Ivanov S, Magnini VP (2016) Handbook of hotel chain managementGoogle Scholar
  23. 23.
    Melis G, Piga CA (2017) Are all online hotel prices created dynamic? an empirical assessment. Int J Hosp Manag 67:163–173CrossRefGoogle Scholar
  24. 24.
    Möhring M, Keller B, Schmidt R, Zimmermann A (2018) Revenue management information systems for small and medium-sized hotels. In: International conference on intelligent decision technologies, pp 120–127Google Scholar
  25. 25.
    Guo X, Ling L, Yang C, Li Z, Liang L (2013) Optimal pricing strategy based on market segmentation for service products using online reservation systems: an application to hotel rooms. Int J Hosp Manag 35:274–281CrossRefGoogle Scholar
  26. 26.
    O’Connor P (2002) An empirical analysis of hotel chain online pricing strategies. Inf Technol Tour 5(2):65–72CrossRefGoogle Scholar
  27. 27.
    Bapna R, Goes P, Gupta A (2003) Analysis and design of business-to-consumer online auctions. Manag Sci 49(1):85–101CrossRefGoogle Scholar
  28. 28.
    Bapna R, Goes P, Gupta A, Jin Y (2004) User heterogeneity and its impact on electronic auction market design: an empirical exploration. MIS Q 28(1):21–43CrossRefGoogle Scholar
  29. 29.
    Viglia G, Mauri A, Carricano M (2016) The exploration of hotel reference prices under dynamic pricing scenarios and different forms of competition. Int J Hosp Manag 52:46–55CrossRefGoogle Scholar
  30. 30.
    Webster J, Watson RT (2002) Analyzing the past to prepare for the future: writing. MIS Q 26(2):494–508Google Scholar
  31. 31.
    Ivanov S, Zhechev V (2012) Hotel revenue management–a critical literature review. Turizam 60(2):175–197Google Scholar
  32. 32.
    Tso A, Law R (2005) Analysing the online pricing practices of hotels in Hong Kong. Int J Hosp Manag 24(2):301–307CrossRefGoogle Scholar
  33. 33.
    Schütze J (2008) Pricing strategies for perishable products: the case of Vienna and the hotel reservation system hrs.com. Central Eur J Oper Res 16(1):43–66CrossRefGoogle Scholar
  34. 34.
    Aziz HA, Saleh M, Rasmy MH, ElShishiny H (2011) Dynamic room pricing model for hotel revenue management systems. Inform J 12(3):177–183Google Scholar
  35. 35.
    Baker TK, Collier DA (1999) A comparative revenue analysis of hotel yield management heuristics. Decis Sci 30(1):239–263CrossRefGoogle Scholar
  36. 36.
    Bayoumi AEM, Saleh M, Atiya AF, Aziz HA (2013) Dynamic pricing for hotel revenue management using price multipliers. J Revenue Pricing Manag 12(3):271–285CrossRefGoogle Scholar
  37. 37.
    Darke P, Shanks G, Broadbent M (1998) Successfully completing case study research. Inf Syst J 8(4):273–289CrossRefGoogle Scholar
  38. 38.
    Seidel S, Recker JC, Vom Brocke J (2013) Sensemaking and sustainable practicing. MIS Q 37(4):1275–1299CrossRefGoogle Scholar
  39. 39.
    Yin R (2011) Applications of case study research. SageGoogle Scholar
  40. 40.
    Yin R (1994) Case study research: design and methods. Sage Publications, Beverly HillsGoogle Scholar
  41. 41.
    Eisenhardt KM, Graebner ME (2007) Theory building from cases: opportunities and challenges. Acad Manag J 50(1):25–32CrossRefGoogle Scholar
  42. 42.
    Glaser BG, Strauss AL (2009) The discovery of grounded theory, transaction PublishersGoogle Scholar
  43. 43.
    Baran ML (2016) Mixed methods research for improved scientific study. IGIGoogle Scholar
  44. 44.
    Bignami F (2007) Privacy and law enforcement in the European union: the data retention directive. Chi J Int’l L 8:233Google Scholar
  45. 45.
    Wang RJH, Malthouse EC, Krishnamurthi L (2015) On the go: How mobile shopping affects customer purchase behaviour. J Retail 91(2):217–234CrossRefGoogle Scholar
  46. 46.
    Mo Kwon J, Bae J, Blum SC (2013) Mobile applications in the hospitality industry. J Hosp Tour Technol 4(1):81–92Google Scholar
  47. 47.
    Helson H (1964) Adaptation-level theory. Harper & Row, Oxford, EnglandGoogle Scholar
  48. 48.
    Kahneman D, Tversky A (1979) Prospect theory: an analysis of decision under risk. Econometrica: J Econom Soc, 263–291CrossRefGoogle Scholar
  49. 49.
    Popescu I, Wu Y (2007) Dynamic pricing strategies with reference effects. Oper Res 55(3):413–429CrossRefGoogle Scholar
  50. 50.
    Kotler P, Armstrong G (2010). Principles of marketing, Pearson EducationGoogle Scholar
  51. 51.
    Avlonitis GJ, Indounas KA (2006) Pricing practices of service organizations. J Serv Market 20(5):346–356CrossRefGoogle Scholar
  52. 52.
    Seidler G (1937) Geographical price relations and competition. J Market 1(3):198–204CrossRefGoogle Scholar
  53. 53.
    Shoemaker S (2003) The future of pricing in services. J Revenue Pricing Manag 2(3):271–279CrossRefGoogle Scholar
  54. 54.
    Venkatesh R, Mahajan V (1993) A probabilistic approach to pricing a bundle of products or services. J Market Res 30(4):494–508CrossRefGoogle Scholar
  55. 55.
    Kahneman D (2011) Thinking. Penguin, Fast and Slow, LondonGoogle Scholar
  56. 56.
    Piccoli G, Pigni F (2016) TRIPBAM: leveraging digital data streams to unleash savings. Commun AIS 39(1):556–574Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Michael Möhring
    • 1
    Email author
  • Barbara Keller
    • 1
  • Rainer Schmidt
    • 1
  1. 1.Department of Computer Science and MathematicsMunich University of Applied SciencesMunichGermany

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