Booking Curves as an Instrument of Increasing of Independent Hotel Enterprise Efficiency. Case of Russia

Leonid A. POPOV; Anton V. ROMANYUK; Ekaterina A. BLINOVA; Roman R. GAREEV

doi:10.14505//jemt.v8.6(22).14

Leonid A. POPOV Department of Hospitality, Tourism and Sport Management, Plekhanov Russian University of Economics, Russian Federation
Anton V. ROMANYUK Department of Hospitality, Tourism and Sport Management, Plekhanov Russian University of Economics, Russian Federation
Ekaterina A. BLINOVA Department of Hospitality, Tourism and Sport Management, Plekhanov Russian University of Economics, Russian Federation
Roman R. GAREEV Department of Hospitality, Tourism and Sport Management, Plekhanov Russian University of Economics, Russian Federation

DOI: https://doi.org/10.14505//jemt.v8.6(22).14

Abstract

The article deals with the use of such a method of revenue management as the use of booking curves. Based on the results of a study conducted by LLC Hotel Business Consulting jointly with hotel companies in Moscow, a great number of three-star hotels and those with more number of stars do not fully use existing methods of revenue management which affects the effectiveness of their activities. It was concluded that the three-star hotels in Moscow do not have a Revenue Manager as a position in the company's staff. Partial functionality in the sphere of Revenue Management is performed by employees from other departments such as Front Office, Sales and others. In this article, we give an example of the calculation of typical booking curves for three-star hotels, taking into account seasonality and typical segments. With the help of these typical booking curves, hotel companies will be able to function more efficiently.

References

[1] Abrate, G., Fraquelli, G., Viglia, G. 2012. Dynamic pricing strategies: Evidence from European hotels, International Journal of Hospitality Management, 31 (1): 160-168. DOI: 10.1016/j.ijhm.2011.06.003)
[2] Altin, M., Schwartz, Z., and Uysal, M. 2017. “Where you do it” matters: The impact of hotels’ revenue-management implementation strategies on performance. International Journal of Hospitality Management, 67: 46-52, DOI: 10.1016/j.ijhm.2017.08.001
[3] Aziz, H.A., Saleh, M., Rasmy, M.H., Elshishiny, H. 2011. Dynamic room pricing model for hotel revenue management systems, Egyptian Informatics Journal, 12 (3): 177-183
[4] Bitran, G.R., Gilbert, S.M. 1996. Managing hotel reservations with uncertain arrivals, Operations Research, 44 (1): 35-49.
[5] Donaghy, K., McMahon, U., McDowell, D. 1995. Yield management: an overview, International Journal of Hospitality Management, 14 (2): 139-150
[6] 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, International Journal of Hospitality Management, 35: 274–281, Available at: https://pdfs.semanticscholar.org/7343/67eb4a6a7e91e68cad90b67821ce9790cdf8.pdf
[7] Ivanov, S. 2014. Hotel revenue Management: From theory to practice. Varna: Zangador, ISBN: 9549278638, 9789549278637, 205 pp.
[8] Kimes, S.E., Wirtz, J. 2013. Revenue management: Advanced strategies and tools to enhance firm profitability, Foundations and Trends in Marketing, 8 (1): 1-68.
[9] Kourentzes, N., Li, D., and Strauss, A.K. 2017. Unconstraining methods for revenue management systems under small demand. Journal of Revenue and Pricing Management, 1-15 pp.
[10] Kozlov, D.А. 2014. Yield management in hotels. CreateSpace, USA, Available at: http://drokeim.blogspot.ro/2010/04/z402ebook-free-pdf-yield-management-in.html
[11] Lepeshkin, V.A., Kulgachev, I.P., Blinova, E.A., Manteifel, E.A., Romanyuk, A.V. 2017. Business activity in the field of tour operator services in Russia and development of the national tourism, International Journal of Applied Business and Economic Research, 15 (8): 53-70.
[12] Nikolskaya, E.Yu., Popov, L.A., Kosheleva, A.I., Kobyak, M.V., Lepeshkin, V.A. 2016. Trends in the development of hotel business in the world and the Russian Federation, International Journal of Applied Business and Economic Research 14 (9): 5843-5864.
[13] Queenan, C.C., Ferguson, M.E., Stratman, J.K. 2011. Revenue management performance drivers: An exploratory analysis within the hotel industry, Journal of Revenue and Pricing Management, 10 (2): 172-188. DOI: 10.1057/rpm.2009.31
[14] Rodríguez-Algeciras, A., Talón-Ballestero, P. 2017. An empirical analysis of the effectiveness of hotel Revenue Management in five-star hotels in Barcelona, Spain Journal of Hospitality and Tourism Management, 32: 24-34.
[15] Sierag, D., Van Der Rest, J.-P.,Koole, G., Van Der Mei, R. and Zwart, B. 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, 10 (1): 28-51
[16] Tse, T.S.M., Poon, Y.T. 2015. Analyzing the use of an advance booking curve in forecasting hotel reservations, Journal of Travel and Tourism Marketing, 32 (7): 852-869, DOI 10.1080/10548408.2015.1063826.
[17] Webb, T., Schwartz, Z. 2017. Revenue management analysis with competitive sets. Tourism Economics, 23 (6): 1206-1219.
[18] Zhang, D., Weatherford, L. 2017. Dynamic pricing for network revenue management: A new approach and application in the hotel industry, INFORMS Journal on Computing, 29 (1): 18-35
[19] Zheng, C., Forgacs, G. 2017. The emerging trend of hotel total revenue management, Journal of Revenue and Pricing Management 16 (3) 1: 238-245