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Importance of Various Service Types in Hotels - Empirical Analysis

Author

Listed:
  • Đorđević Aleksandar

    (University of Belgrade, Faculty of Economics, Belgrade Serbia)

  • Zečević Bojan

    (University of Belgrade, Faculty of Economics, Belgrade, Serbia)

  • Hristov Stančić Branislava

    (University of Belgrade, Faculty of Economics, Belgrade, Serbia)

Abstract

Hotels offer different types of services which have different impacts on the users’ satisfaction and have an influence in various extents on decision making, when it comes to the selection of hotels. As a part of research, empirical analysis based on the importance of different services which hotels provide, was conducted. The idea of research is to determine the importance of different types of services for users. The survey was conducted on a sample of 850 respondents in Serbia. The study used AHP methodology which is used in the decisionmaking process analysis and is suitable for studies defining the rank of relevance of individual elements. The obtained results presented in the study provide information such as, what services offered by hotels have the greatest importance for users. Based on the obtained results in empirical research, and by applying cluster analysis, two different segments of hotel guests are identified based on the preferred services. Segments are statistically different and can represent various targets in the hotel business policy.

Suggested Citation

  • Đorđević Aleksandar & Zečević Bojan & Hristov Stančić Branislava, 2016. "Importance of Various Service Types in Hotels - Empirical Analysis," Economic Themes, Sciendo, vol. 54(3), pages 403-423, September.
    • Handle: RePEc:vrs:ecothe:v:54:y:2016:i:3:p:403-423:n:5
    DOI: 10.1515/ethemes-2016-0020
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    References listed on IDEAS

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    1. Rong, Jia & Vu, Huy Quan & Law, Rob & Li, Gang, 2012. "A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining," Tourism Management, Elsevier, vol. 33(4), pages 731-740.
    2. Li, Gang & Law, Rob & Vu, Huy Quan & Rong, Jia, 2013. "Discovering the hotel selection preferences of Hong Kong inbound travelers using the Choquet Integral," Tourism Management, Elsevier, vol. 36(C), pages 321-330.
    3. FitzPatrick, Mary & Davey, Janet & Muller, Lisa & Davey, Howard, 2013. "Value-creating assets in tourism management: Applying marketing's service-dominant logic in the hotel industry," Tourism Management, Elsevier, vol. 36(C), pages 86-98.
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