IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i5p730-d758428.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/5/730/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/5/730/
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jani Dugonik & Mirjam Sepesy Maučec & Domen Verber & Janez Brest, 2023. "Reduction of Neural Machine Translation Failures by Incorporating Statistical Machine Translation," Mathematics, MDPI, vol. 11(11), pages 1-22, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bice Cavallo, 2019. "Coherent weights for pairwise comparison matrices and a mixed-integer linear programming problem," Journal of Global Optimization, Springer, vol. 75(1), pages 143-161, September.
    2. Toly Chen, 2021. "A diversified AHP-tree approach for multiple-criteria supplier selection," Computational Management Science, Springer, vol. 18(4), pages 431-453, October.
    3. Gerda Ana Melnik-Leroy & Gintautas Dzemyda, 2021. "How to Influence the Results of MCDM?—Evidence of the Impact of Cognitive Biases," Mathematics, MDPI, vol. 9(2), pages 1-25, January.
    4. Corrente, Salvatore & Greco, Salvatore & Ishizaka, Alessio, 2016. "Combining analytical hierarchy process and Choquet integral within non-additive robust ordinal regression," Omega, Elsevier, vol. 61(C), pages 2-18.
    5. Chin-Yi Chen & Jih-Jeng Huang, 2019. "Deriving Fuzzy Weights of the Fuzzy Analytic Network Process via Fuzzy Inverse Matrix," Mathematics, MDPI, vol. 7(10), pages 1-14, October.
    6. Jiří Mazurek, 2018. "Some notes on the properties of inconsistency indices in pairwise comparisons," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 28(1), pages 27-42.
    7. Itzel Inti Maria Donati & Davide Viaggi & Zorica Srdjevic & Bojan Srdjevic & Antonella Di Fonzo & Teresa Del Giudice & Orlando Cimino & Andrea Martelli & Anna Dalla Marta & Roberto Henke & Filiberto A, 2023. "An Analysis of Preference Weights and Setting Priorities by Irrigation Advisory Services Users Based on the Analytic Hierarchy Process," Agriculture, MDPI, vol. 13(8), pages 1-15, August.
    8. Konrad Kułakowski & Katarzyna Grobler-Dębska & Jarosław Wąs, 2015. "Heuristic rating estimation: geometric approach," Journal of Global Optimization, Springer, vol. 62(3), pages 529-543, July.
    9. A Ishizaka & D Balkenborg & T Kaplan, 2011. "Influence of aggregation and measurement scale on ranking a compromise alternative in AHP," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 700-710, April.
    10. Ching-Sung Lee & Yen-Cheng Chen & Pei-Ling Tsui & Ming-Chen Chiang, 2022. "Diversified and Sustainable Business Strategy of Smallholder Farmers in the Suburbs of Taiwan," Agriculture, MDPI, vol. 12(6), pages 1-14, May.
    11. David Koloseni & Tove Helldin & Vicenç Torra, 2020. "AHP-Like Matrices and Structures—Absolute and Relative Preferences," Mathematics, MDPI, vol. 8(5), pages 1-12, May.
    12. Shunsuke Shiraishi & Tsuneshi Obata, 2025. "Calculating Maximum Eigenvalues in Pairwise Comparison Matrices for the Analytic Hierarchy Process," SN Operations Research Forum, Springer, vol. 6(1), pages 1-15, March.
    13. López, Cristina & Ishizaka, Alessio, 2019. "A hybrid FCM-AHP approach to predict impacts of offshore outsourcing location decisions on supply chain resilience," Journal of Business Research, Elsevier, vol. 103(C), pages 495-507.
    14. Jana Stofkova & Matej Krejnus & Katarina Repkova Stofkova & Peter Malega & Vladimira Binasova, 2022. "Use of the Analytic Hierarchy Process and Selected Methods in the Managerial Decision-Making Process in the Context of Sustainable Development," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    15. Antonopoulos, I.-S. & Perkoulidis, G. & Logothetis, D. & Karkanias, C., 2014. "Ranking municipal solid waste treatment alternatives considering sustainability criteria using the analytical hierarchical process tool," Resources, Conservation & Recycling, Elsevier, vol. 86(C), pages 149-159.
    16. Pietro Amenta & Alessio Ishizaka & Antonio Lucadamo & Gabriella Marcarelli & Vijay Vyas, 2020. "Computing a common preference vector in a complex multi-actor and multi-group decision system in Analytic Hierarchy Process context," Annals of Operations Research, Springer, vol. 284(1), pages 33-62, January.
    17. Dimitra G. Vagiona, 2021. "Comparative Multicriteria Analysis Methods for Ranking Sites for Solar Farm Deployment: A Case Study in Greece," Energies, MDPI, vol. 14(24), pages 1-23, December.
    18. M. Teimouri & M.R. Delavar & S.H. Chavoshi & M.R. Malek & N. Van de Weghe & T. Neutens & H.H. Hochmair, 2015. "Accommodating user preferences in ad hoc shared ride trip planning using GIS," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(7), pages 816-831, October.
    19. Csató, László, 2024. "Right-left asymmetry of the eigenvector method: A simulation study," European Journal of Operational Research, Elsevier, vol. 313(2), pages 708-717.
    20. N. Balaji & Y. Lokeswara Choudary, 2012. "Optimization of Supply Chain Efficiency in Multi Criteria Decision Environment Using AHP Model," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 3(2), pages 67-71, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2022:i:5:p:730-:d:758428. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.