AN IMPROVED CLASSIFICATION OF HOTEL INDUSTRY EFFICIENCY INDICATORS
DOI:
https://doi.org/10.5281/zenodo.23053171Abstract
The article examines the system of hotel industry efficiency indicators and approaches to their classification. A comparative analysis of existing classification approaches is conducted, and it is demonstrated that most of them do not fully account for the specific characteristics of hotel services, including service quality, room occupancy, and seasonality. As a result of the study, an improved classification of hotel industry efficiency indicators is developed, according to which the indicators are divided into five interrelated groups: resource, process, outcome, financial, and quality indicators. The proposed classification integrates different dimensions of efficiency into a unified system, reflects the logic of its formation (resource → process → outcome), and serves as a basis for constructing an integral hotel efficiency index.Keywords
hotel industry, efficiency indicators, classification of indicators, resource–process–outcome, service quality, integral index, SERVQUAL, RevPARReferences
1. Decree of the President of the Republic of Uzbekistan No. PF-158 dated September 11, 2023, “On the Uzbekistan — 2030 Strategy”. (n.d.). National Database of Legislation of the Republic of Uzbekistan.
2. Decree of the President of the Republic of Uzbekistan No. PF-87 dated May 15, 2025, “On Measures to Enhance the Role and Significance of Tourism in the Economy by Substantially Increasing Tourist Flows and Rapidly Expanding the Scope of Tourism Services in 2025–2026”. (n.d.). National Database of Legislation of the Republic of Uzbekistan.
3. Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253–290.
4. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2(6), 429–444.
5. Aigner, D., Lovell, C. A. K., & Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6(1), 21–37.
6. Kaplan, R. S., & Norton, D. P. (1996). The Balanced Scorecard: Translating Strategy into Action. Harvard Business School Press.
7. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality. Journal of Retailing, 64(1), 12–40.
8. STR (CoStar Group). Hotel Performance Metrics: RevPAR, ADR and Occupancy Methodology [Electronic resource]. – URL: https://str.com/ (accessed: June 30, 2026).
9. United Nations; World Tourism Organization (UN Tourism); Commission of the European Communities (Eurostat); Organisation for Economic Co-operation and Development (OECD). Tourism Satellite Account: Recommended Methodological Framework 2008 (TSA: RMF 2008). – Luxembourg; Madrid; New York; Paris, 2010. – 122 p. – URL:
10. Pardayev, M. Q., et al. (2014). Some Problems of the Economics of Service Industries [in Uzbek]. Navruz.
11. Tukhliyev, I. S., et al. (2018). Tourism: Theory and Practice: Textbook [in Uzbek].
12. Zaynalov, J. R. (2015). The Importance of Innovation in the Development of the Service and Service Industries [in Uzbek]. Prospects for the Development of Service Sector Industries: Proceedings of the Republican Scientific and Practical Conference, 229–231.
13. Rakhimov, H. A. (2018). Improving the Assessment and Analysis of Efficiency in Hotel Enterprises: Dissertation for the Degree of Doctor of Philosophy (PhD) in Economics. Samarkand Institute of Economics and Service.
14. Tourism Committee of the Republic of Uzbekistan; National Statistics Committee of the Republic of Uzbekistan. Official Statistical Data on Tourism and Hotel Industry, 2017–2024 [Electronic resource]. – URL: https://uzbektourism.uz/; https://stat.uz/ (accessed: August 15, 2026).
Downloads
Published
How to Cite
Issue
Section
