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Using Pairwise Comparisons to Determine Consumer Preferences in Hotel Selection

Author

Listed:
  • Nikolai Krivulin

    (Faculty of Mathematics and Mechanics, St. Petersburg State University, Universitetskaya Emb. 7/9, 199034 St. Petersburg, Russia
    These authors contributed equally to this work.)

  • Alexey Prinkov

    (Faculty of Mathematics and Mechanics, St. Petersburg State University, Universitetskaya Emb. 7/9, 199034 St. Petersburg, Russia
    These authors contributed equally to this work.)

  • Igor Gladkikh

    (Graduate School of Management, St. Petersburg State University, Universitetskaya Emb. 7/9, 199034 St. Petersburg, Russia
    These authors contributed equally to this work.)

Abstract

We consider the problem of evaluating preferences for criteria used by university students when selecting a hotel for accommodation during a professional development program in a foreign country. Input data for analysis come from a survey of 202 respondents, who indicated their age, sex and whether they have previously visited the country. The criteria under evaluation are location, accommodation cost, typical guests, free breakfast, room amenities and courtesy of staff. The respondents assess the criteria both directly by providing estimates of absolute ratings and ranks, and indirectly by relative estimates using ratios of pairwise comparisons. To improve the accuracy of ratings derived from pairwise comparisons, we concurrently apply the principal eigenvector method, the geometric mean method and the method of log-Chebyshev approximation. Then, the results from the direct and indirect evaluation of ratings and ranks are examined together to analyze how the results from pairwise comparisons may differ from each other and from the results of direct assessment by respondents. We apply statistical techniques, such as estimation of means, standard deviations and correlations, to the vectors of ratings and ranks provided directly or indirectly by respondents, and then use the estimates to make accurate assessment of the criteria under study.

Suggested Citation

  • Nikolai Krivulin & Alexey Prinkov & Igor Gladkikh, 2022. "Using Pairwise Comparisons to Determine Consumer Preferences in Hotel Selection," Mathematics, MDPI, vol. 10(5), pages 1-25, February.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:5:p:730-:d:758428
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    References listed on IDEAS

    as
    1. Nikolai Krivulin, 2020. "Using tropical optimization techniques in bi-criteria decision problems," Computational Management Science, Springer, vol. 17(1), pages 79-104, January.
    2. Jiří Mazurek & Radomír Perzina & Jaroslav Ramík & David Bartl, 2021. "A Numerical Comparison of the Sensitivity of the Geometric Mean Method, Eigenvalue Method, and Best–Worst Method," Mathematics, MDPI, vol. 9(5), pages 1-13, March.
    3. Alessio Ishizaka & Markus Lusti, 2006. "How to derive priorities in AHP: a comparative study," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(4), pages 387-400, December.
    4. Wan-Yu Chang, 2014. "A study on the key success factors of service quality for international hotels," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 64(supplemen), pages 25-37, November.
    5. Nikolai Krivulin, 2018. "Methods of Tropical Optimization in Rating Alternatives Based on Pairwise Comparisons," Operations Research Proceedings, in: Andreas Fink & Armin Fügenschuh & Martin Josef Geiger (ed.), Operations Research Proceedings 2016, pages 85-91, Springer.
    6. Ramazan Göral, 2020. "Prioritizing the Factors Which Affect the Selection of Hotels by Consumers Traveling for Vacation with Analytical Hierarchy Process (AHP) Method," Journal of Tourism Management Research, Conscientia Beam, vol. 7(1), pages 11-31.
    7. Ramazan Goral, 2020. "Prioritizing the Factors Which Affect the Selection of Hotels by Consumers Traveling for Vacation with Analytical Hierarchy Process (AHP) Method," Journal of Tourism Management Research, Conscientia Beam, vol. 7(1), pages 11-31.
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