FREE FULL TEXT (PDF)
DOI: http://doi.org/10.31617/visnik.knute.2019(128)04

UDC 338.488.2:640.412 =111
 
BOIKO Margarita,
DSc (Economics), Professor, Head of the Department of Hotel and Restaurant Business
of Kyiv National University of Trade and Economics
19, Kyoto str., Kyiv, 02156, Ukraine

E-mail: Ця електронна адреса захищена від спам-ботів. вам потрібно увімкнути JavaScript, щоб побачити її.
ORCID: http://orcid.org/0000-0003-0249-1432
 
BOSOVSKA Myroslava,
DSc (Economics), Professor at the Department of Hotel and Restaurant Business
of Kyiv National University of Trade and Economics
19, Kyoto str., Kyiv, 02156, Ukraine

E-mail: Ця електронна адреса захищена від спам-ботів. вам потрібно увімкнути JavaScript, щоб побачити її.
ORCID: https://orcid.org/0000-0002-6021-5228
 
 
KULYK Mariia,
Ph.D. (Economics), Associate Professor at the Department of Hotel and Restaurant Business
of  Kyiv National University of Trade and Economics
19, Kyoto str., Kyiv, 02156, Ukraine
E-mail: Ця електронна адреса захищена від спам-ботів. вам потрібно увімкнути JavaScript, щоб побачити її.
ORCID: https://orcid.org/0000-0001-8732-7441

OVERBOOKING AS THE INSTRUMENT OF REVENUE MANAGEMENT

The peculiarities of the use of overbooking in the hotel business have been investi­gated. Using the principles of overbooking which are applied in hospitality, the study found that there are statistically significant returns on the revenue in Ukrainian hotels.Pre­requisites and benefits of implementing overbooking in hotel business are analyzed.
Keywords: overbooking,revenue management, hospitality, hotels, market segments.

REFERENCES

1. Pimentel, V., Aizezikali, A., & Baker, T. (2019). Hotel revenue management: Bene­fitsof simultaneous overbooking and allocation problem formulation in price optimization. Computers and Industrial Engineering, 137 [in English].
2. Antonio, N., de Almeida, A., & Nunes, L. (2019). Big Data in Hotel Revenue Mana­gement:Exploring Cancellation Drivers to Gain Insights Into Booking Cance­llation Behavior. Cornell Hospitality Quarterly, 60 (4), (pp. 298-319)[in English].
3. Ivanov, S. H. (2015). Optimal overbooking limits for a hotel with three room types and with upgrade and downgrade constraints Tourism Economics, 21 (1), (pp. 223-240) [in English].
4. Salvat, J. X., Zanzi, L., Garcia-Saavedra, A., Sciancalepore, V., & Costa-Perez, X. (2018). Overbooking network slices through yield-driven end-to-end orche­stration. CoNEXT 2018 – Proceedings of the 14th International Conference on Emerging Networking EXperiments and Technologies, (pp. 353-365) [in English].
5. Gallego, G., & Topaloglu, H. (2019). Overbooking. International Series in Opera­tions Research and Management Science, 279, (pp. 83-105) [in English].
6. Pimentel, V., Aizezikali, A., & Baker, T. (2018). An evaluation of the bid price andnested network revenue management allocation methods. Computers and Indust­rial Engineering, 115, (pp. 100-108) [in English].
7. 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, 246 (1), 170-185[in English].
8. Kalyan, T., Talluri, & Garrett J. van Ryzin (2004). Revenue Management Under a Ge­neral Discrete Choice Model of Consumer Behavior Published in Management Science [in English].
9. Kostin, K. B. (2016). Innovacionnyj podhod k resheniju problemy overbukinga kak odnogo iz kljuchevyh aspektov jeffektivnoj marketingovoj politiki oteches­tvennyh i mezhdunarodnyh predprijatij turistskogo biznesa [An innovative app­roach to solving the problem of overbooking as one of the key aspects of an effective marketing policy of domestic and international tourism enterprises].Izvestija Sankt-Peterburgskogo gosudarstvennogo jekonomicheskogo universi­teta – News of St. Petersburg State University of Economics, 1 [in English].