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A hybrid approach using data envelopment analysis, interval programming and robust optimisation for performance assessment of hotels under uncertainty

Author

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  • Fatemeh Sadat Seyed Esmaeili
  • Mohsen Rostamy-Malkhalifeh
  • Farhad Hosseinzadeh Lotfi

Abstract

The tourism industry is one of the most important industries that influences the economy of countries. Thus today, special attention to this industry is a major concern for managers and heads of economy, culture and tourism. Since hotels are one of the main pillars of the tourism industry, their performance should be evaluated with the aim of identifying desirable hotels as well as providing a way to eliminate the weaknesses of disadvantaged hotels. An important point in performance assessment of hotels is consideration of data uncertainty and the need to use an appropriate approach to address this uncertainty. Accordingly, the purpose of this paper is to use uncertain data envelopment analysis models to measure the performance of hotels under uncertainty. Finally, all of the proposed models are implemented for a real case study in order to measure the efficiency of hotels and then the results will be evaluated.

Suggested Citation

  • Fatemeh Sadat Seyed Esmaeili & Mohsen Rostamy-Malkhalifeh & Farhad Hosseinzadeh Lotfi, 2021. "A hybrid approach using data envelopment analysis, interval programming and robust optimisation for performance assessment of hotels under uncertainty," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 20(3), pages 308-322.
    • Handle: RePEc:ids:ijmdma:v:20:y:2021:i:3:p:308-322
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    Cited by:

    1. Pejman Peykani & Mostafa Sargolzaei & Mohammad Hashem Botshekan & Camelia Oprean-Stan & Amir Takaloo, 2023. "Optimization of Asset and Liability Management of Banks with Minimum Possible Changes," Mathematics, MDPI, vol. 11(12), pages 1-24, June.
    2. Pejman Peykani & Jafar Gheidar-Kheljani & Reza Farzipoor Saen & Emran Mohammadi, 2022. "Generalized robust window data envelopment analysis approach for dynamic performance measurement under uncertain panel data," Operational Research, Springer, vol. 22(5), pages 5529-5567, November.
    3. Pejman Peykani & Mostafa Sargolzaei & Amir Takaloo & Shahla Valizadeh, 2023. "The Effects of Monetary Policy on Macroeconomic Variables through Credit and Balance Sheet Channels: A Dynamic Stochastic General Equilibrium Approach," Sustainability, MDPI, vol. 15(5), pages 1-21, March.

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