IDEAS home Printed from https://ideas.repec.org/a/vrs/ecothe/v54y2016i3p403-423n5.html
   My bibliography  Save this article

Importance of Various Service Types in Hotels - Empirical Analysis

Author

Listed:
  • Đorđević Aleksandar

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

  • Zečević Bojan
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/ethemes-2016-0020
    Download Restriction: no
    File URL: https://libkey.io/10.1515/ethemes-2016-0020?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    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. Ahani, Ali & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh & Sanzogni, Louis & Tarik, A. Rashid & Knox, Kathy & Samad, Sarminah & Ibrahim, Othman, 2019. "Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 331-343.
    2. Zajadacz Alina & Minkwitz Aleksandra, 2020. "Using Social Media Data to Plan for Tourism," Quaestiones Geographicae, Sciendo, vol. 39(3), pages 125-138, September.
    3. Yadegaridehkordi, Elaheh & Nilashi, Mehrbakhsh & Nizam Bin Md Nasir, Mohd Hairul & Momtazi, Saeedeh & Samad, Sarminah & Supriyanto, Eko & Ghabban, Fahad, 2021. "Customers segmentation in eco-friendly hotels using multi-criteria and machine learning techniques," Technology in Society, Elsevier, vol. 65(C).
    4. Tao Liu & Ying Zhang & Huan Zhang & Xiping Yang, 2021. "A Methodological Workflow for Deriving the Association of Tourist Destinations Based on Online Travel Reviews: A Case Study of Yunnan Province, China," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    5. Wong, Tommy & Wickham, Mark, 2015. "An examination of Marriott's entry into the Chinese hospitality industry: A Brand Equity perspective," Tourism Management, Elsevier, vol. 48(C), pages 439-454.
    6. Chih-Wen Yang & Cheng-Lung (Richard) Wu & Jin-Long Lu, 2021. "Exploring the interdependency and determinants of tourism participation, expenditure, and duration: An analysis of Taiwanese citizens traveling abroad," Tourism Economics, , vol. 27(4), pages 649-669, June.
    7. Wu, Mao-Ying & Wall, Geoffrey & Pearce, Philip L., 2014. "Shopping experiences: International tourists in Beijing's Silk Market," Tourism Management, Elsevier, vol. 41(C), pages 96-106.
    8. Tosporn Arreeras & Mikiharu Arimura & Takumi Asada & Saharat Arreeras, 2019. "Association Rule Mining Tourist-Attractive Destinations for the Sustainable Development of a Large Tourism Area in Hokkaido Using Wi-Fi Tracking Data," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
    9. Bassam Dalal & Ahmad Aljarah, 2021. "How Brand Symbolism, Perceived Service Quality, and CSR Skepticism Influence Consumers to Engage in Citizenship Behavior," Sustainability, MDPI, vol. 13(11), pages 1-18, May.
    10. Kedar Pandurang Joshi & Amol Dhaigude, 2021. "Revenue management for homestay with TODIM-integrated EMSR-b," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(2), pages 134-148, April.
    11. Li, Gang & Law, Rob & Vu, Huy Quan & Rong, Jia & Zhao, Xinyuan (Roy), 2015. "Identifying emerging hotel preferences using Emerging Pattern Mining technique," Tourism Management, Elsevier, vol. 46(C), pages 311-321.
    12. Ruiling Sun & Zaiwu Gong & Weiwei Guo & Ashfaq Ahmad Shah & Jie Wu & Haiying Xu, 2022. "Flood disaster risk assessment of and countermeasures toward Yangtze River Delta by considering index interaction," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(1), pages 475-500, May.
    13. Zhang, Ling & Zhang, Luping & Zhou, Peng & Zhou, Dequn, 2015. "A non-additive multiple criteria analysis method for evaluation of airline service quality," Journal of Air Transport Management, Elsevier, vol. 47(C), pages 154-161.
    14. Versichele, Mathias & de Groote, Liesbeth & Claeys Bouuaert, Manuel & Neutens, Tijs & Moerman, Ingrid & Van de Weghe, Nico, 2014. "Pattern mining in tourist attraction visits through association rule learning on Bluetooth tracking data: A case study of Ghent, Belgium," Tourism Management, Elsevier, vol. 44(C), pages 67-81.
    15. Pelegrina, Guilherme Dean & Duarte, Leonardo Tomazeli & Grabisch, Michel & Romano, João Marcos Travassos, 2020. "The multilinear model in multicriteria decision making: The case of 2-additive capacities and contributions to parameter identification," European Journal of Operational Research, Elsevier, vol. 282(3), pages 945-956.
    16. Qi Wang & Shuo Wang & Si Fu, 2023. "A Sustainable Iterative Product Design Method Based on Considering User Needs from Online Reviews," Sustainability, MDPI, vol. 15(7), pages 1-16, March.
    17. Kushwaha, Gyaneshwar Singh & Agrawal, Shiv Ratan, 2015. "An Indian customer surrounding 7P׳s of service marketing," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 85-95.
    18. Zhang, Hong-yu & Ji, Pu & Wang, Jian-qiang & Chen, Xiao-hong, 2017. "A novel decision support model for satisfactory restaurants utilizing social information: A case study of TripAdvisor.com," Tourism Management, Elsevier, vol. 59(C), pages 281-297.
    19. O'Cass, Aron & Sok, Phyra, 2015. "An exploratory study into managing value creation in tourism service firms: Understanding value creation phases at the intersection of the tourism service firm and their customers," Tourism Management, Elsevier, vol. 51(C), pages 186-200.
    20. Jimenez-Marquez, Jose Luis & Gonzalez-Carrasco, Israel & Lopez-Cuadrado, Jose Luis & Ruiz-Mezcua, Belen, 2019. "Towards a big data framework for analyzing social media content," International Journal of Information Management, Elsevier, vol. 44(C), pages 1-12.

    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:vrs:ecothe:v:54:y:2016:i:3:p:403-423:n:5. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.