Application of Revenue Management Methods in the Tourism Industry

Vadym Baiev1, Ivan Bakhov2, Iryna Melnyk1, Tetiana Mirzodaieva1, Inna Vinnichenko1
1National University of Food Technologies, Kyiv, Ukraine
2Interregional Academy of Personnel Management, Kyiv, Ukraine
DOI: https://doi.org/10.70517/revcc2624167
Published: 15/10/2026
: Vadym Baiev, Ivan Bakhov, Iryna Melnyk, Tetiana Mirzodaieva, Inna Vinnichenko. Application of Revenue Management Methods in the Tourism Industry. Revista Cultura Científica, 2026 Issue 24. pg. 2002-2019.

Abstract

Revenue management has become an important approach to improving the commercial performance, capacity utilization, and competitiveness of tourism enterprises. This article develops a conceptual model of the interrelated components of revenue management in tourism and explains how these components contribute to decisions concerning demand, distribution, pricing, customer relationships, and the sale of tourism services. The study considers marketing research, the effectiveness of advertising campaigns, tourist loyalty management, the creation and positioning of attractive tourism products, service upgrades and upselling, commission and corporate discount policies, overbooking, ancillary service sales, competitor benchmarking, segmentation of revenue sources, and dynamic pricing. Drawing on a theoretical and methodological analysis of specialist literature and practitioner-oriented materials, these activities are examined as parts of an integrated management system rather than as isolated operational techniques. The analysis distinguishes revenue growth from profitability and emphasizes that price optimization should be considered alongside service quality, distribution costs, customer expectations, and operating constraints. Marketing research supplies information about demand and consumer behavior; segmentation differentiates market opportunities; loyalty initiatives and ancillary services can support customer value; and pricing and availability decisions help align limited capacity with changing demand. The proposed component model identifies functional connections among these activities and offers a structure for tourism enterprises seeking to coordinate commercial decisions more systematically. The article also discusses possible operational risks, particularly the consequences of poorly managed overbooking and inappropriate pricing or discount decisions. It argues that revenue management is not merely the adjustment of prices, but a coordinated managerial process that combines market intelligence, forecasting, product development, customer relationships, channel management, and performance monitoring. The findings are conceptual and should not be interpreted as evidence of a measured causal improvement in profit at particular enterprises. Further empirical research is needed to test how the proposed components interact across different types of tourism businesses and market conditions.

Keywords: tourism industry; revenue management; tourism services; overbooking; advertising campaigns; dynamic pricing

Abstract

Revenue management has become an important approach to improving the commercial performance, capacity utilization, and competitiveness of tourism enterprises. This article develops a conceptual model of the interrelated components of revenue management in tourism and explains how these components contribute to decisions concerning demand, distribution, pricing, customer relationships, and the sale of tourism services. The study considers marketing research, the effectiveness of advertising campaigns, tourist loyalty management, the creation and positioning of attractive tourism products, service upgrades and upselling, commission and corporate discount policies, overbooking, ancillary service sales, competitor benchmarking, segmentation of revenue sources, and dynamic pricing. Drawing on a theoretical and methodological analysis of specialist literature and practitioner-oriented materials, these activities are examined as parts of an integrated management system rather than as isolated operational techniques. The analysis distinguishes revenue growth from profitability and emphasizes that price optimization should be considered alongside service quality, distribution costs, customer expectations, and operating constraints. Marketing research supplies information about demand and consumer behavior; segmentation differentiates market opportunities; loyalty initiatives and ancillary services can support customer value; and pricing and availability decisions help align limited capacity with changing demand. The proposed component model identifies functional connections among these activities and offers a structure for tourism enterprises seeking to coordinate commercial decisions more systematically. The article also discusses possible operational risks, particularly the consequences of poorly managed overbooking and inappropriate pricing or discount decisions. It argues that revenue management is not merely the adjustment of prices, but a coordinated managerial process that combines market intelligence, forecasting, product development, customer relationships, channel management, and performance monitoring. The findings are conceptual and should not be interpreted as evidence of a measured causal improvement in profit at particular enterprises. Further empirical research is needed to test how the proposed components interact across different types of tourism businesses and market conditions.

Keywords: tourism industry; revenue management; tourism services; overbooking; advertising campaigns; dynamic pricing

References

  1. Shykina, Olga, and Ilona Remihailo. “The Concept of Revenue Management in the Hotel Business” [Translated from Ukrainian]. Economy and Society, no. 34, 2021. https://doi.org/10.32782/2524-0072/2021-34-8.

  2. Subying, Chatarin, and Chanin Yoopetch. “A Bibliometric Review of Revenue Management in the Tourism and Hospitality Industry, 1989–2021.” Sustainability, vol. 15, no. 20, 2023, article 15089. https://doi.org/10.3390/su152015089.

  3. Talón-Ballestero, Pilar, Marta Nieto-García, and Lydia González-Serrano. “The Wheel of Dynamic Pricing: Towards Open Pricing and One to One Pricing in Hotel Revenue Management.” International Journal of Hospitality Management, vol. 102, 2022, article 103184. https://doi.org/10.1016/j.ijhm.2022.103184.

  4. Chen, Ji, Yifan Xu, Peiwen Yu, and Jun Zhang. “A Reinforcement Learning Approach for Hotel Revenue Management with Evidence from Field Experiments.” Journal of Operations Management, vol. 69, no. 7, 2023, pp. 1176–1201. https://doi.org/10.1002/joom.1246.

  5. Ierko, Iryna, et al. “Analysis and Assessment of the Competitive Potential of the Tourism Industry Entities: A Methodical Approach.” Financial and Credit Activity: Problems of Theory and Practice, vol. 3, no. 56, 2024, pp. 257–69. https://doi.org/10.55643/fcaptp.3.56.2024.4379.

  6. Tierney, Jim. “Customer Behavior Management at the Core of Loyalty Program Success.” Loyalty360, 15 Nov. 2013, https://loyalty360.org/Content-Gallery/Daily-News/customer-behavior-management-at-the-core-of-loyalty-program-success. Accessed 12 Oct. 2026.

  7. South Australian Tourism Commission. What Is Commission and Should I Consider It? https://tourism.sa.gov.au/media/jsrpgesj/what-is-commission.pdf. Accessed 12 Oct. 2026.

  8. Cofre Torres, Gabriela. “How to Upsell and Cross-Sell in the Tourism Industry.” TrekkSoft, 15 May 2024, https://www.trekksoft.com/en/blog/upsell-and-cross-sell-sales-in-the-tourism-industry. Accessed 12 Oct. 2026.

  9. Denzon, Geraldine. “Travel Competitor Benchmarking: A How-To for Tour Operators.” TicketingHub, 7 July 2025, https://www.ticketinghub.com/en-US/blog/travel-competitor-benchmarking-analysis. Accessed 12 Oct. 2026.

  10. Sundareva, Ekaterina, editor, with expert commentary by Ilya Grachev. “Revenue Management and Dynamic Pricing in a Hotel: What Is the Difference?” [Translated from Russian]. TravelLine, 19 Jan. 2023, https://www.travelline.ru/blog/revenue-management-v-gostinitse-i-dinamicheskaya-tsena-v-chem-raznitsa/. Accessed 12 Oct. 2026.

  11. Karyagin, Yu. O., et al. Marketing of the Tourist Product [Translated from Ukrainian]. Kondor, 2009. TourLib, https://tourlib.net/books_ukr/karyagin.htm.

  12. Durovych, A. P. Marketing Research in Tourism: A Study Guide [Translated from Russian]. Piter, 2008.

  13. Manko, Andriy, and Taras Zavadovsky. “Concepts and Directions of Advertising Activities of a Tourist Enterprise” [Translated from Ukrainian]. Visnyk of the Lviv University. Series International Relations, no. 29, pt. 1, 2012, pp. 90–99.

  14. Kyfyak, V. F. Organization of Tourist Activity in Ukraine: A Study Guide [Translated from Ukrainian]. Knygy-XXI, 2003.

  15. Klyachenko, I. O., and O. V. Zozulyov. “Customer Loyalty Programs to the Brand” [Translated from Ukrainian]. Current Problems of Economy and Management: Collection of Scientific Works of Young Scientists, no. 6, 2012, pp. 1–28, https://ela.kpi.ua/handle/123456789/12367.

  16. Pucentejlo, P. R. Economics and Organization of Tourism and Hotel Entrepreneurship: A Study Guide [Translated from Ukrainian]. Center for Educational Literature, 2007.

  17. Baev, V. V. Fundamentals of Tour Operating: A Study Guide [Translated from Ukrainian]. Personal, 2018.

  18. Veresen, Alina. “What Is an Upgrade: The Meaning of the Term” [Translated from Ukrainian]. Aktivtur, 8 Apr. 2025, https://aktivtur.com.ua/shho-take-apgrejd-znachennya-terminu/. Accessed 12 Oct. 2026.

  19. Zhovtonizhko, Liubov. “Examples of Upsell Emails from Well-Known SaaS Brands and More” [Translated from Ukrainian]. Stripo, 31 Aug. 2023, https://stripo.email/ua/blog/upsell-email-examples/. Accessed 12 Oct. 2026.

  20. “Upsell: How to Increase Revenue without Attracting New Customers” [Translated from Ukrainian]. PriceCop, 11 Oct. 2017, updated 4 Apr. 2025, https://pricecop.net/uk/blog/uk-apsel-upsell/. Accessed 12 Oct. 2026.

  21. “Overbooking.” AltexSoft, https://www.altexsoft.com/glossary/overbooking/. Accessed 12 Oct. 2026.

  22. “Top 10 Additional Services That Will Help Attract Clients to a Travel Agency” [Translated from Russian]. Profi.Travel, 15 Oct. 2013, https://profi.travel/articles/120/details. Accessed 12 Oct. 2026.

  23. Comte, Rosalie. “The Ultimate Guide to Add-Ons for Tour and Activity Providers.” Regiondo, 22 Feb. 2024, https://pro.regiondo.com/blog/the-ultimate-guide-to-add-ons-for-tour-and-activity-providers/. Accessed 12 Oct. 2026.

  24. “Tourism Competition Models.” StudySmarter, 17 Sept. 2024, https://www.studysmarter.co.uk/explanations/hospitality-and-tourism/tourism-economics/tourism-competition-models/. Accessed 12 Oct. 2026.

  25. Sorokina, Arina Igorevna. Marketing Analysis of Competition in the Market of Tourist Services [Translated from Russian]. 2011.

  26. “Understanding Revenue Per Segment: A Guide for Better Business Decisions.” FullEnrich, https://fullenrich.com/glossary/revenue-per-segment. Accessed 12 Oct. 2026.

  27. “Revenue Segmentation: How to Segment Your Revenue by Customer: Product: Channel: and Region.” FasterCapital, updated 30 Mar. 2025, https://fastercapital.com/content/Revenue-Segmentation–How-to-Segment-Your-Revenue-by-Customer–Product–Channel–and-Region.html. Accessed 12 Oct. 2026.

  28. Papiryan, G. A. Management in the Hospitality Industry: Hotels and Restaurants [Translated from Russian]. Ekonomika, 2000.

  29. Lacalle, Eva. “10 Best Hotel Revenue Management Strategies You Should Adopt.” Mews, 5 Oct. 2021, https://www.mews.com/en/blog/hotel-revenue-management-strategies. Accessed 12 Oct. 2026.

Vadym Baiev
National University of Food Technologies, Kyiv, Ukraine
Ivan Bakhov
Interregional Academy of Personnel Management, Kyiv, Ukraine
Iryna Melnyk
National University of Food Technologies, Kyiv, Ukraine
Tetiana Mirzodaieva
National University of Food Technologies, Kyiv, Ukraine
Inna Vinnichenko
National University of Food Technologies, Kyiv, Ukraine

How to cite:

Vadym Baiev, Ivan Bakhov, Iryna Melnyk, Tetiana Mirzodaieva, Inna Vinnichenko. Application of Revenue Management Methods in the Tourism Industry. Revista Cultura Científica, 2026 Issue 24. pg. 2002-2019.

Publication History

Copyright © 2026, Vadym Baiev, Ivan Bakhov, Iryna Melnyk, Tetiana Mirzodaieva, Inna Vinnichenko. Published by Revista Cultura Científica. This article is published as open access under the Creative Commons Attribution 4.0 International (CC BY 4.0) license (http://creativecommons.org/licenses/by/4.0/).

Browse Advance Search