Show simple item record

dc.contributor.authorNapierała, Tomasz
dc.contributor.authorLeśniewska-Napierała, Katarzyna
dc.contributor.editorÇetinsöz, Burçin Cevdet
dc.description.abstractAim: The aim of this enquiry is to determine the impact of various geographical factors on the rating and popularity of hotels in selected social media The criteria for the selection of mentioned social media were their popularity and the ability to rate the hotel by the guests. The analysed social media channels include:, Facebook, GoogleMaps, TripAdvisor, and Trivago. Methods: This research was conducted for all 193 star-ranked hotels operating in July 2017, in Central Poland. However, analysis covered only those of establishments which were using all considered online reviews’ sources (118 star-ranked hotels). To achieve the research goal, 15 semilogarithmic models were estimated to explain the variability of: 1) the number of hotel reviews in social media, 2) average hotel ratings in social media, and 3) the multiply effect of investigated number and average value of hotel ratings in social media; separately for each type of analysed social media. Following geographical explanatory variables were considered: 1) type of location (urban or rural), 2) distance from closest transport nodes (road, rail and air), 3) distance to the nearest tourist attractions, 4) distance from the nearest administrative centre, 5) distance from nearest competing hotels. The hotel star rank was a control variable included in the study. Results: Proximity to the transportations hubs and to the competitors were found as the most significant geographical factors influencing number of online rates posted in social media channels of hotel services offered in Central Poland. Receiving substantial number of positive reviews is easier when operating as a hotel with better access to transport network, and benefitted by agglomerative effects. Practical implication: Social media management is currently one of the key areas of marketing communication run by hotel enterprises. This article should make those who are responsible for managing social media in business practice, more focus on the geographical context.pl_PL
dc.publisherMersin Universitypl_PL
dc.relation.ispartofVIII. National IV. International Eastern Mediterranean Tourism Symposium, 19-20 April 2019 Anamur/Mersin/Turkey;
dc.rightsAttribution-NoDerivatives 4.0 Międzynarodowe*
dc.subjectRecenzje onlinepl_PL
dc.subjectOnline reviewspl_PL
dc.subjectCzynniki geograficznepl_PL
dc.subjectGeographical factorspl_PL
dc.titleTowards More and Better: Geographical Factors of Hotel Online Ratingspl_PL
dc.typeBook chapterpl_PL
dc.contributor.authorAffiliationUniversity of Lodz, Faculty of Geographical Sciencespl_PL
dc.contributor.authorAffiliationCentre for Tourism Research, Development and Innovation, CiTUR Leiriapl_PL
dc.referencesAbrate, G., & Viglia, G. (2016). Strategic and tactical price decisions in hotel revenue management. Tourism Management, 55, 123–132.
dc.referencesAksoy, S., & Yetkin Ozbuk, M. (2017). Multiple criteria decision making in hotel location: Does it relate to postpurchase consumer evaluations? Tourism Management Perspectives, 22, 73–81.
dc.referencesAlegre, J., Cladera, M., & Sard, M. (2013). Tourist areas: Examining the effects of location attributes on tour-operator package holiday prices. Tourism Management, 38, 131–141.
dc.referencesAndersson, D. E. (2010). Hotel attributes and hedonic prices: An analysis of internet-based transactions in Singapore’s market for hotel rooms. Annals of Regional Science, 44(2), 229–240.
dc.referencesBanerjee, S., & Chua, A. Y. K. (2016). In search of patterns among travellers’ hotel ratings in TripAdvisor. Tourism Management, 53, 125–131.
dc.referencesBaym, N. (2017). Personal connections in the digital age. Consumption Markets & Culture.
dc.referencesBerné, C., García-González, M., García-Uceda, M. E., & Múgica, J. M. (2015). The effect of ICT on relationship enhancement and performance in tourism channels. Tourism Management, 48, 188–198.
dc.referencesBlal, I., & Sturman, M. C. (2014). The Differential Effects of the Quality and Quantity of Online Reviews on Hotel Room Sales. Cornell Hospitality Quarterly, 55(4), 365–375.
dc.referencesBrowning, V., So, K. K. F., & Sparks, B. (2013). The Influence of Online Reviews on Consumers’ Attributions of Service Quality and Control for Service Standards in Hotels. Journal of Travel and Tourism Marketing, 30(1–2), 23–40.
dc.referencesCasaló, L. V., Flavián, C., Guinalíu, M., & Ekinci, Y. (2015). Do online hotel rating schemes influence booking behaviors? International Journal of Hospitality Management, 49, 28–36.
dc.referencesEspinet, J. M., Saez, M., Coenders, G., & Fluvia, M. (2003). Effect on prices of the attributes of holiday hotels: A hedonic prices approach. Tourism Economics, 9(2), 165–177.
dc.referencesFalk, M. (2008). A hedonic price model for ski lift tickets. Tourism Management, 29, 1172–1184.
dc.referencesHarrysson, M., Metayer, E., & Sarrazin, H. (2012). How ‘social intelligence’ can guide decisions. McKinsey Quarterly, 4, 81–89.pl_PL
dc.referencesHoong, A. L. S., Yusoff, Z., Zainol, Z., & V, P. (2018). Know your Hotels Well! an Online Review Analysis using Text Analytics. International Journal of Engineering & Technology, 7(4.31), 341–347.pl_PL
dc.referencesJalilvand, M. R., Esfahani, S. S., & Samiei, N. (2011). Electronic word-of-mouth: Challenges and opportunities. Procedia Computer Science, 3, 42–46.
dc.referencesJansson, A. (2018). Rethinking post-tourism in the age of social media. Annals of Tourism Research, 69, 101–110.
dc.referencesKaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons.
dc.referencesKim, W. G., Li, J. J., Han, J. S., & Kim, Y. (2017). The influence of recent hotel amenities and green practices on guests’ price premium and revisit intention. Tourism Economics, 23(3), 577–593.
dc.referencesKościółek, S. (2017). Role of e-WOM in hospitality market pricing. Journal of Economics & Management, 29(3), 58–74.
dc.referencesKulesza, M. (2002). Methods and Techniques of Managing Decentralization Reforms in CEE Countries. The Polish Experience. Journal of Constitutional Law in Eastern and Central Europe, 9(2), 115–172.pl_PL
dc.referencesLadhari, R., & Michaud, M. (2015). eWOM effects on hotel booking intentions, attitudes, trust, and website perceptions. International Journal of Hospitality Management, 46, 36–45.
dc.referencesLado-Sestayo, R., Vivel-Búa, M., & Otero-González, L. (2018). Connection between hotel location and profitability drivers: an analysis of location-specific effects. Current Issues in Tourism, pp. 1–18.
dc.referencesLeung, D., Law, R., van Hoof, H., & Buhalis, D. (2013). Social Media in Tourism and Hospitality: A Literature Review. Journal of Travel and Tourism Marketing, 30(1–2), 3–22.
dc.referencesLien, C. H., Wen, M. J., Huang, L. C., & Wu, K. L. (2015). Online hotel booking: The effects of brand image, price, trust and value on purchase intentions. Asia Pacific Management Review, 20(4), 210–218.
dc.referencesMalasevska, I., & Haugom, E. (2018). Optimal prices for alpine ski passes. Tourism Management, 64, 291–302.
dc.referencesMartin-Fuentes, E. (2016). Are guests of the same opinion as the hotel star-rate classification system? Journal of Hospitality and Tourism Management, 29, 126–134.
dc.referencesMunar, A. M., & Jacobsen, J. K. S. (2014). Motivations for sharing tourism experiences through social media. Tourism Management, 43, 46–54.
dc.referencesNapierała, T. (2018a). Przestrzenna różnorodność jako czynnik konkurencyjności hoteli. Prace i Studia Geograficzne, 63(3), 89–101.pl_PL
dc.referencesNapierała, T. (2018b). What Kind of Online Rating is Most Significant for Hoteliers? Case of Central Poland. In K. Birdir (Ed.), The Second International Congress on Future of Tourism: Innovation, Entrepreneurship and Sustainability (Futourism 2018) Proceeding Book (pp. 870–875). Mersin: Mersin University.pl_PL
dc.referencesNapierała, T., & Leśniewska, K. (2014). Location as a Determinant of Accommodation Prices: Managerial Approach. In 7th World Conference for Graduate Research in Tourism, Hospitality and Leisure (pp. 687–692).pl_PL
dc.referencesPawlicz, A., & Napierała, T. (2017). The determinants of hotel room rates: an analysis of the hotel industry in Warsaw, Poland. International Journal of Contemporary Hospitality Management, 29(1), 571–588.
dc.referencesPhillips, P., Zigan, K., Santos Silva, M. M., & Schegg, R. (2015). The interactive effects of online reviews on the determinants of Swiss hotel performance: A neural network analysis. Tourism Management, 50, 130–141.
dc.referencesPower, D. J., & Phillips-Wren, G. (2011). Impact of Social Media and Web 2.0 on Decision-Making. Journal of Decision Systems, 20(3), 249–261.
dc.referencesSchamel, G. (2012). Weekend vs. midweek stays: Modelling hotel room rates in a small market. International Journal of Hospitality Management, 31(4), 1113–1118.
dc.referencesSerra Cantallops, A., & Salvi, F. (2014). New consumer behavior: A review of research on eWOM and hotels. International Journal of Hospitality Management, 36, 41–51.
dc.referencesSoler, I. P., Gemar, G., & Guzman-Parra, V. F. (2019). A comparison of destinations’ impacts on hotel rates. International Journal of Hospitality Management, 77, 226–237.
dc.referencesSweeney, J. C., Soutar, G. N., & Mazzarol, T. (2008). Factors influencing word of mouth effectiveness: Receiver perspectives. European Journal of Marketing.
dc.referencesThrane, C. (2005). Hedonic price models and sun-and-beach package tours: The Norwegian case. Journal of Travel Research, 43(3), 302–308.
dc.referencesTorres, E. N., Singh, D., & Robertson-Ring, A. (2015). Consumer reviews and the creation of booking transaction value: Lessons from the hotel industry. International Journal of Hospitality Management, 50, 77–83.
dc.referencesVermeulen, I. E., & Seegers, D. (2009). Tried and tested: The impact of online hotel reviews on consumer consideration. Tourism Management, 30(1), 123–127.
dc.referencesViglia, G., Minazzi, R., & Buhalis, D. (2016). The influence of e-word-of-mouth on hotel occupancy rate. International Journal of Contemporary Hospitality Management, 28(9), 2035–2051.
dc.referencesWendt, J. (2001). The administrative division of Poland and the prospects of the transborder co-operation. Region and Regionalism, 5, 39–48.pl_PL
dc.referencesYang, Y., Wong, K. K. F., & Wang, T. (2012). How do hotels choose their location? Evidence from hotels in Beijing. International Journal of Hospitality Management, 31, 675– 685.
dc.referencesZhang, Z., Ye, Q., & Law, R. (2011). Determinants of hotel room price: An exploration of travelers’ hierarchy of accommodation needs. International Journal of Contemporary Hospitality Management, 23(7), 972–981.

Files in this item


This item appears in the following Collection(s)

Show simple item record

Attribution-NoDerivatives 4.0 Międzynarodowe
Except where otherwise noted, this item's license is described as Attribution-NoDerivatives 4.0 Międzynarodowe