Examining the Accommodation Experience in Historical Buildings with Content Analysis: Amasya Mansions Example

Yıl 2023, , 28 - 40, 23.12.2023

Hakan Kendir , Emin Arslan , Handan Özçelik Bozkurt

https://doi.org/10.58768/joinntt.1402820

Öz

In this study, which aims to examine online tourist comments about historical mansion hotels in Amasya, which has shown rapid development in recent years in terms of tourism activity, tourist comments on the TripAdvisor platform were used. In the research, comments on TripAdvisor regarding Amasya's mansion hotels were examined using the "word cloud technique" in two different categories: positive and negative. According to the findings obtained from the collected data, the general scores of the 10 mansion hotels operating in Amasya examined within the scope of the research are well above the average level on the TripAdvisor platform. In other words, tourists who experience mansion hotels in Amasya tend to give high scores on TripAdvisor. The most striking words that emerged in the word cloud where positive comments about Amasya mansion hotels were examined were words such as "hotel, mansion, Amasya, breakfast, room, Yeşilırmak, staff.” According to the data provided with the help of the "word cloud" obtained from the negative comments about Amasya mansion hotels on TripAdvisor, the words that attract the most attention are expressions such as "noise, music, car park, and sleep.”

Anahtar Kelimeler

Historical Buildings, TripAdvisor, Amasya, Accommodation Experience

Kaynakça

• Amasya Provincial Directorate of Culture and Tourism. (2023). General Information About Amasya. https://amasya.ktb.gov.tr/TR-59457/genel-bilgiler.html. Access Date: 15.11.2023.
• Arslan, E. (2020). Çevrimiçi gastronomik turist deneyimlerinin içerik analiziyle incelenmesi. Ankara Hacı Bayram Veli Üniversitesi Turizm Fakültesi Dergisi, 23(2), 442-460.
• Bagherzadeh, S., Shokouhyar, S., Jahani, H. and Sigala, M. (2021). A generalizable sentiment analysis method for creating a hotel dictionary: Using big data on TripAdvisor hotel reviews. Journal of Hospitality and Tourism Technology, 2(12), 210-238.
• Balcı, A. (2001). Sosyal Bilimlerde Araştırma; Yöntem, Teknik ve İlkeler, Ankara: Pegem Yayınevi.
• Banerjee, S. and Chua, A. Y. (2016). In search of patterns among travellers' hotel ratings in TripAdvisor. Tourism Management, 53, 125–131.
• Bayram, M., Bertan, S. and Ertaş, M. (2014). Sosyal medya kullanıcılarının konaklama tesislerine yönelik algılamaları: Pamukkale ve Karahayıt örneği. Uluslararası Hakemli Beşerî ve Akademik Bilimler Dergisi, 3(10), 139-150.
• Bozkurt, H. Ö. (2023). Gastronomik lezzetlere yönelik çevrimiçi turist deneyimlerinin incelenmesi: Sinop mantısı örneği. Review of Tourism Administration Journal, 4 (1), 1-11
• Cenni, I. and Goethals, P. (2017). Negative hotel reviews on TripAdvisor: A cross-linguistic analysis. Discourse, Context & Media, 16, 22-30.
• Chang, Y.C., Ku, C.H. and Chen, C.H. (2019). Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor. International Journal of Information Management, 48, 263-279.
• Chevalier, J. A. and Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345-354.
• Culture and Tourism Ministry. (2023). Business (Ministry) Certified Facility Accommodation Statistics. https://yigm.ktb.gov.tr/TR-201121/isletme-bakanlik-belgeli-tesis-konaklama-istatistikleri.html. Access Date: 16.11.2023.
• De Ascaniis, S. and Gretzel, U. (2013). Communicative functions of online travel review titles: a pragmatic and linguistic investigation of destination and attraction OTR titles. Studies in Communication Sciences, 13(2), 156-165.
• Eryılmaz, B. (2020). Turisti tanımak: Yerli turist profili üzerine bir araştırma, Türk Turizm Araştırmaları Dergisi, 4(3), 2327-2342.
• Fronza, I., Janes, A., Sillitti, A., Succi, G. and Trebeschi, S. (2013). Cooperation wordle using pre-attentive processing techniques. 6th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE). (57-64). 25 May 2013, San Francisco, CA, USA.
• Garrod, B. and Fyall, A. (2000). Managing Heritage Tourism. Annals of Tourism Research, 27(3): 682-708.
• Geography Map. (2023). Türkiye Province Map-Amasya. http://cografyaharita.com/turkiye_mulki_idare_haritalari2.html. Access Date: 15.11.2023.
• Kendir, H. (2020a). Turizm eğitimi alan lisans öğrencilerinin kültürel miras algılarının belirlenmesi. Türk Turizm Araştırmaları Dergisi, 4(3): 2296-2310.
• Kendir, H. (2020b). Gastronomik lezzetlere yönelik çevrimiçi turist deneyimlerinin incelenmesi: Edirne tava ciğeri örneği. Safran Kültür ve Turizm Araştırmaları Dergisi, 3(3), 408-423.
• Krippendorff, K. (1980). Content analysis: an introduction to is methodology. Beverly Hills: Sage.
• Lee, H. A., Law, R. and Murphy, J. (2011). Helpful reviewers in TripAdvisor, an online travel community. Journal of Travel & Tourism Marketing, 28(7), 675-688.
• Lei, S. and Law, R. (2015). Content Analysis of Tripadvisor Reviews on Restaurants: A Case Study of Macau. Journal of Tourism, 16(1), 17-28.
• Litwin, S. W. and Sobel, R. N. (2019). Organic versus solicited hotel TripAdvisor reviews: Measuring their respective characteristics. Cornell Hospitality Quarterly, 60(4), 370-377.
• Molinillo, S., Fernández-Morales, A., Ximénez-de-Sandoval, J. L. and Coca-Stefaniak, A. (2016). Hotel assessment through social media–TripAdvisor as a case study. Tourism & Management Studies, 12(1), 15-24.
• Munar, A. M. and Jacobsen, J. K. S. (2014). Motivations for sharing tourism experiences through social media. Tourism Management, 43, 46-54.
• Peres, C.K. and Paladini, E.P. (2021). Exploring the attributes of hotel service quality in Florianopolis-SC, Brazil: An analysis of TripAdvisor reviews. Cogent Business & Management, 8(1), 1926211.
• Schuckert, M., Liu, X. and Law, R. (2015). Hospitality and tourism online reviews: Recent trends and future directions. Journal of Travel & Tourism Marketing, 32(5), 608-621.
• Statista (2023). Total number of user reviews and ratings on Tripadvisor worldwide from 2014 to 2022. https://www.statista.com/statistics/684862/tripadvisor-number-of-reviews/. Access Date: 27.10.2023.
• Tripadvisor. (2023). Amasya Otelleri ve Kalacak Yerler. https://www.tripadvisor.com.tr/Hotels-g1600795-Amasya_Amasya_Province-Hotels.html. Access Date: 02.11.2023.
• TÜİK. (2023). Adrese Dayalı Nüfus Kayıt Sistemi-Amasya İli. https://cip.tuik.gov.tr/. Access Date: 16.11.2023.
• Uçar, Ö. ve Kırhasanoğlu, M. (2021). Doğu karadeniz’deki 5 yıldızlı konaklama işletmelerine yönelik çevrimiçi müşteri şikâyetlerinin incelenmesi. Türk Turizm Araştırmaları Dergisi, 5(3): 2149- 2165.
• Ustaoğlu, E. T. (2019). İnsan robot etkileşimi konusunu kelime bulutu analizi ile kavramsallaştırma. International Academic Journal (Econder), 3(2), 221-239.
• Vásquez, C. (2012). Narrativity and involvement in online consumer reviews: The case of TripAdvisor. Narrative Inquiry, 22(1), 105-121.
• Weber, R.P. (1989). Basic content analysis, London: Sage.
• Williams, W., Parkes, E. L. and Davies, P. (2013). Wordle: A method for analysing MBA student induction experience. The International Journal of Management Education, 11(1), 44-53.
• WordArt. (2023). Online word cloud art creator. https://wordart.com/create. Access Date: 03.11.2023.
• Xiang, Z., Du, Q., Ma, Y. and Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51-65.
• Xiang, Z., Du, Q., Ma, Y. and Fan, W. (2018). Assessing reliability of social media data: lessons from mining TripAdvisor hotel reviews. Information Technology & Tourism, 18, 43-59.
• Xie, K. L., Chen, C. and Wu, S. (2016). Online consumer review factors affecting offline hotel popularity: evidence from tripadvisor. Journal of Travel & Tourism Marketing, 33(2), 211-223.
• Yoo, K.-H. and Gretzel, U. (2009). Comparison of deceptive and truthful travel reviews. In W. Hopken, U. Gretzel & R. Law (Eds). Information and communication technologies in tourism, (pp. 37–47). Vienna: Springer.
• Zhang, H-Y., Ji, P., Wang, J-Q. and Chen, X-H. (2017). A novel decision support model for satisfactory restaurants utilizing social information: A case study of TripAdvisor.com. Tourism Management, 59, 281-297.
• Zhang, Z., Li, X. and Chen, Y. (2012). Deciphering word-of-mouth in social media: Text-based metrics of consumer reviews. ACM Transactions on Management Information Systems (TMIS), 3(1), 1-23.