Araştırma Makalesi
BibTex RIS Kaynak Göster

Ödül alan her şey dahil otellerde misafir memnuniyetinin arkasındaki temel faktörler nelerdir? Türkiye üzerine ampirik bir analiz

Yıl 2025, Cilt: 7 Sayı: 2, 79 - 103, 02.01.2026

Öz

Günümüzde turizm sektöründe çevrimiçi öneri sistemleri ve kullanıcı değerlendirme platformları, misafirlerin karar verme süreçlerinde kritik bir rol oynamaktadır. Bu platformlar, otellerin hizmet kalitesini ve müşteri memnuniyetini ölçmek için önemli veriler sağlamaktadır. Bu çalışma, Türkiye’deki her şey dâhil (all-inclusive) otellerin çevrimiçi kullanıcı değerlendirmelerini inceleyerek müşteri memnuniyetini etkileyen temel faktörleri ortaya koymaktadır. TripAdvisor’da 2025 yılında “Best of the Best Hotels Travelers’ Choice” ödülünü alan 15 otelin değerlendirmeleri analiz edilmiştir. Bulgulara göre, oteller genel olarak yüksek puanlar almış ve değerlendirmelerin çoğu olumlu olmuştur. Altı temel hizmet niteliği (değer, hizmet, oda, temizlik, konum ve uyku kalitesi) içinde “değer” unsuru misafir memnuniyetini en güçlü biçimde etkileyen faktör olarak öne çıkmıştır. Değer algısındaki bir birimlik artış, olumlu değerlendirme olasılığını yaklaşık 3,6 kat artırmaktadır. “Hizmet” de benzer biçimde yüksek etkili bulunurken, “oda” en düşük etkiye sahip unsur olmuştur. Seyahat türüne göre yapılan analizlerde, genel memnuniyet açısından anlamlı fark görülmemekle birlikte, çift ve iş amaçlı seyahat edenlerin daha eleştirel oldukları tespit edilmiştir. Bu nedenle otel yöneticilerinin, özellikle bu grupların beklentilerine uygun hizmet geliştirmeleri önerilmektedir. Çalışma, konumun diğer faktörlerden bağımsız değerlendirildiğini de ortaya çıkarmıştır.

Kaynakça

  • Aakash, A., & Gupta Aggarwal, A. (2022). Assessment of hotel performance and guest satisfaction through eWOM: Big data for better insights. International Journal of Hospitality & Tourism Administration, 23(2), 317–346. https://doi.org/10.1080/15256480.2020.1746218
  • Abashidze, I. (2024). The influence of online platforms on decision-making process and behavioural traits of international travelers. European Scientific Journal, 20(37), 51. https://doi.org/10.19044/esj.2024.v20n37p51
  • Adeola, O., & Evans, O. (2019). Digital tourism: Mobile phones, internet and tourism in Africa. Tourism Recreation Research, 44(2), 190–202. https://doi.org/10.1080/02508281.2018.1562662
  • Ahn, D., Park, H., & Yoo, B. (2017). Which group do you want to travel with? A study of rating differences among groups in online travel reviews. Electronic Commerce Research and Applications, 25, 105–114. https://doi.org/10.1016/j.elerap.2017.09.001
  • Almeida, G. S. D., & Pelissari, A. S. (2019). Customer satisfaction based on the attributes of accommodation services. Revista Brasileira de Pesquisa em Turismo, 13(02), 32–53. https://doi.org/10.7784/rbtur.v13i2.1516
  • Alrawadieh, Z., & Demirkol, Ş. (2015). Konaklama işletmelerinde e-şikâyet yönetimi: İstanbul’daki beş yıldızlı oteller üzerinde bir çalışma. Nişantaşı Üniversitesi Sosyal Bilimler Dergisi, 3(1), 130–148. https://doi.org/10.21733/ibad.628032
  • Atabay, L., & Çizel, B. (2020). Comparative content analysis of hotel reviews by mass tourism destination. Journal of Tourism and Services, 11(21), 147–166. https://doi.org/10.29036/jots.v11i21.163
  • Awal, R. I. R., Rahayu, A., Hendrayati, H., Heryana, N., Rahman, S. Y., Deny, M., & Lestari, F. (2025). Digital value-based pricing strategy in tourism marketing: a systematic literature review approach. Dinasti International Journal of Economics, Finance & Accounting (DIJEFA), 5(6). https://doi.org/10.38035/dijefa.v5i6.3728
  • Banerjee, S., & Chua, A. Y. (2016). In search of patterns among travellers' hotel ratings in TripAdvisor. Tourism Management, 53, 125–131. https://doi.org/10.1016/j.tourman.2015.09.020
  • Başaran, M. A., Dogan, S., & Kantarci, K. (2020). On modeling of responses generated by travel 2.0 implementation: Fuzzy rule-based systems. International Journal of Contemporary Hospitality Management, 32(4), 1503–1522.
  • Bhat, M. A. (2012). Tourism service quality: A dimension-specific assessment of SERVQUAL. Global Business Review, 13(2), 327–337. https://doi.org/10.1177/097215091201300210
  • Ceylan, U., & Uzun, A. H. (2024). Otel işletmelerine yönelik çevrimiçi şikâyetlerin incelenmesi: Ankara örneği. Sinop-e: Turizm Araştırmaları Dergisi, 1(2), 74–94.
  • Chiang, H. S., & Huang, T. C. (2015). User-adapted travel planning system for personalized schedule recommendation. Information Fusion, 21, 3–17. https://doi.org/10.1016/j.inffus.2013.05.011
  • Chiu, M. C., Huang, J. H., Gupta, S., & Akman, G. (2021). Developing a personalized recommendation system in a smart product service system based on unsupervised learning model. Computers in Industry, 128, 103421. https://doi.org/10.1016/j.compind.2021.103421
  • Choi, T. Y., & Chu, R. (2001). Determinants of hotel guests’ satisfaction and repeat patronage in the Hong Kong hotel industry. International Journal of Hospitality Management, 20(3), 277–297. https://doi.org/10.1016/s0278-4319(01)00006-8
  • Chuang, C. M., Wu, C. X., & Stanley Snell, R. (2023). How do online travel reviews facilitate informed purchase decisions?. Asia Pacific Journal of Tourism Research, 28(4), 323–340. https://doi.org/10.1080/10941665.2023.2228939
  • Çizel, B., Çizel, R., & Ajanovic, E. (2015). Which hotel attributes matter for mass tourist: A qualitative research on tourists’ review on TripAdvisor. People: International Journal of Social Sciences, 1(1), 632–642. https://doi.org/10.20319/pijss.2015.s21.632642
  • Da’u, A., & Salim, N. (2020). Recommendation system based on deep learning methods: A systematic review and new directions. Artificial Intelligence Review, 53(4), 2709–2748. https://doi.org/10.1007/s10462-019-09744-1
  • David, T., Almedida-Santana, A., Hernández, J. M., & Moreno-Gil, S. (2018). Understanding European tourists’ use of e-tourism platforms. Analysis of Networks. Information Technology & Tourism, 20(1), 131–152. https://doi.org/10.1007/s40558-018-0113-z
  • Devahastin, D. D., Sayasonti, S., Aung, C. M., Aung, Z. P., & Wongwaiyut, P. (2024). Digital transformation of supply chain management for tourism industry in Thailand. Journal of Supply Chain Management: Research and Practice, 18(2), 28–39. https://doi.org/10.59160/ijscm.v12i3.6135
  • Doğan, S., Başaran, M. A., & Kantarcı, K. (2020). Konaklama işletmelerinin tavsiye edilmesini etkileyen hizmetlerin belirlenmesi: Alanya’da bir araştırma. Türk Turizm Araştırmaları Dergisi, 4(4), 3769–3784. https://doi.org/10.26677/tr1010.2020.590
  • Doğan, S., Başaran, M. A., & Kantarci, K. (2020). Determination of attributes affecting price-performance using fuzzy rule-based systems: Online ratings of hotels by travel 2.0 users. Journal of Hospitality and Tourism Technology, 11(2), 291–311. https://doi.org/10.1108/jhtt-07-2018-0067
  • Filieri, R., Alguezaui, S., & McLeay, F. (2015). Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth. Tourism Management, 51, 174–185. https://doi.org/10.1016/j.tourman.2015.05.007
  • García-Barriocanal, E., Sicilia, M.A., & Korfiatis, N. (2010). Exploring hotel service quality experience indicators in user-generated content: A case using TripAdvisor data. MCIS 2010 Proceedings. (33). https://aisel.aisnet.org/mcis2010/33
  • Garrigos-Simon, F. J., Narangajavana-Kaosiri, Y., & Narangajavana, Y. (2019). Quality in tourism literature: A bibliometric review. Sustainability, 11(14), 3859. https://doi.org/10.3390/su11143859
  • Gençer, K., & Keşkekci, D. (2023). Beş yıldızlı otellerin hizmet hataları ve telafi yöntemlerinin incelenmesi: Antalya otelleri örneği. Seyahat ve Otel İşletmeciliği Dergisi, 20(2), 142–158. https://doi.org/10.24010/soid.1231506
  • Gim, J., Kim, S. I., Park, S., & Kim, H. (2025). Traveling alone, reviewing differently: Identifying distinctive hotel evaluation behaviors of solo travelers. Journal of Travel & Tourism Marketing, 42(1), 100–117. https://doi.org/10.1080/10548408.2024.2425103
  • Gretzel, U. (2022). The smart DMO: A new step in the digital transformation of destination management organizations. European Journal of Tourism Research, 30, 3002–3002. https://doi.org/10.54055/ejtr.v30i.2589
  • Guo, X., Pesonen, J., & Komppula, R. (2021). Comparing online travel review platforms as destination image information agents. Information Technology & Tourism, 23(2), 159–187. https://doi.org/10.1007/s40558-021-00201-w
  • Guo, Y., Barnes, S. J., & Jia, Q. (2017). Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent Dirichlet allocation. Tourism Management, 59, 467–483. https://doi.org/10.1016/j.tourman.2016.09.009
  • Hargreaves, C. A. (2015). Analysis of hotel guest satisfaction ratings and reviews: An application in Singapore. American Journal of Marketing Research, 1(4), 208–214.
  • Hojeghan, S. B., & Esfangareh, A. N. (2011). Digital economy and tourism impacts, influences and challenges. Procedia-Social and Behavioral Sciences, 19, 308–316. https://doi.org/10.1016/j.sbspro.2011.05.136
  • Hu, H., & Li, C. (2023). Smart tourism products and services design based on user experience under the background of big data. Soft Computing, 27(17), 12711–12724. https://doi.org/10.1007/s00500-023-08851-0
  • Javadpour, L., & Joseph-Mathews, S. (2023). An examination of alignment of hotel brand differentiation and customer priorities: A case study of three unique destinations. Journal of Business and Management, 28(2), 61–88. https://doi.org/10.1504/jbm.2023.141299
  • Kaveski Peres, C., & Pacheco Paladini, E. (2021). Exploring the attributes of hotel service quality in Florianópolis-SC, Brazil: An analysis of TripAdvisor reviews. Cogent Business & Management, 8(1), 1926211. https://doi.org/10.1080/23311975.2021.1926211
  • Koronios, K., Dimitropoulos, P., Kriemadis, A., Ioannis, D., Papadopoulos, A., & Manousaridou, G. (2020). Tourists satisfaction with all-inclusive packages: The moderating impact of income and family size. Cultural and Tourism Innovation in the Digital Era: Sixth International IACuDiT Conference, 597–610. https://doi.org/10.1007/978-3-030-36342-0_46
  • Lee, C. C., & Hu, C. (2005). Analyzing hotel customers' e-complaints from an internet complaint forum. Journal of Travel & Tourism Marketing, 17(2-3), 167–181. https://doi.org/10.1300/j073v17n02_13
  • Liberato, P., Alen, E., & Liberato, D. (2018). Smart tourism destination triggers consumer experience: The case of Porto. European Journal of Management and Business Economics, 27(1), 6–25. https://doi.org/10.1108/ejmbe-11-2017-0051
  • Li, H., Liu, Y., Tan, C. W., & Hu, F. (2020). Comprehending customer satisfaction with hotels: Data analysis of consumer-generated reviews. International Journal of Contemporary Hospitality Management, 32(5), 1713–1735. https://doi.org/10.1108/ijchm-06-2019-0581
  • Limberger, P. F., Dos Anjos, F. A., de Souza Meira, J. V., & dos Anjos, S. J. G. (2014). Satisfaction in hospitality on TripAdvisor.com: An analysis of the correlation between evaluation criteria and overall satisfaction. Tourism & Management Studies, 10(1), 59–65.
  • Litvin, S. W., & Dowling, K. M. (2018). TripAdvisor and hotel consumer brand loyalty. Current Issues in Tourism, 21(8), 842–846. https://doi.org/10.1080/13683500.2016.1265488
  • Liu, W., & Shih, H. P. (2021). How do search-based and experience-based information matter in the evaluation of user satisfaction? The case of TripAdvisor. Aslib Journal of Information Management, 73(5), 659–678. https://doi.org/10.1108/ajim-03-2021-0093
  • Mahabub, S., Hossain, M. R., & Snigdha, E. Z. (2025). Data-driven decision-making and strategic leadership: AI-powered business operations for competitive advantage and sustainable growth. Journal of Computer Science and Technology Studies, 7(1), 326–336. https://doi.org/10.32996/jcsts.2025.7.1.24
  • Manes, E., & Tchetchik, A. (2018). The role of electronic word of mouth in reducing information asymmetry: An empirical investigation of online hotel booking. Journal of Business Research, 85, 185–196. https://doi.org/10.1016/j.jbusres.2017.12.019
  • Mao, Z., Yang, Y., & Wang, M. (2018). Sleepless nights in hotels? Understanding factors that influence hotel sleep quality. International Journal of Hospitality Management, 74, 189–201. https://doi.org/10.1016/j.ijhm.2018.05.002
  • Mariani, M., Bresciani, S., & Dagnino, G. B. (2021). The competitive productivity (CP) of tourism destinations: an integrative conceptual framework and a reflection on big data and analytics. International Journal of Contemporary Hospitality Management, 33(9), 2970–3002. https://doi.org/10.1108/ijchm-09-2020-1102
  • Neuhofer, B., Buhalis, D., & Ladkin, A. (2015). Smart technologies for personalized experiences: A case study in the hospitality domain. Electronic Markets, 25(3), 243–254. https://doi.org/10.1007/s12525-015-0182-1
  • Nezdoyminov, S., Bedradina, G., & Ivanov, A. (2019). Digital technology in the management of quality service in tourism business. International Journal of Engineering and Advanced Technology, 9(1), 1865–1869. https://doi.org/10.35940/ijeat.a1001.109119
  • Nicoli, N., & Papadopoulou, E. (2017). TripAdvisor and reputation: A case study of the hotel industry in Cyprus. EuroMed Journal of Business, 12(3), 316–334. https://doi.org/10.1108/emjb-11-2016-0031
  • Nilashi, M., Fallahpour, A., Wong, K. Y., & Ghabban, F. (2022). Customer satisfaction analysis and preference prediction in historic sites through electronic word of mouth. Neural Computing and Applications, 34(16), 13867–13881. https://doi.org/10.1007/s00521-022-07186-5
  • Noone, B. M., & Robson, S. K. (2016). Understanding consumers’ inferences from price and nonprice information in the online lodging purchase decision. Service Science, 8(2), 108–123. https://doi.org/10.1287/serv.2016.0141
  • Oliveira-Cardoso, Q. J. D., Martínez-González, J. A., & Álvarez-Albelo, C. D. (2025). Hotel guest satisfaction: A predictive and discriminant study using TripAdvisor ratings. Administrative Sciences, 15(7), 264. https://doi.org/10.3390/admsci15070264
  • Özdemir, B., Çizel, B., & Bato Cizel, R. (2012). Satisfaction with all-inclusive tourism resorts: The effects of satisfaction with destination and destination loyalty. International Journal of Hospitality and Tourism Administration, 13(2). https://doi.org/10.1080/15256480.2012.669313
  • Park, J., & Jeong, E. (2019). Service quality in tourism: A systematic literature review and keyword network analysis. Sustainability, 11(13), 3665. https://doi.org/10.3390/su11133665
  • Pencarelli, T. (2020). The digital revolution in the travel and tourism industry. Information Technology & Tourism, 22(3), 455–476. https://doi.org/10.1007/s40558-019-00160-3
  • Puri, G., & Singh, K. (2018). The role of service quality and customer satisfaction in tourism industry: A review of SERVQUAL Model. International Journal of Research and Analytical Reviews, 5(4).
  • Radojevic, T., Stanisic, N., & Stanic, N. (2015). Solo travellers assign higher ratings than families: Examining customer satisfaction by demographic group. Tourism Management Perspectives, 16, 247–258. https://doi.org/10.1016/j.tmp.2015.08.004
  • Rahmadian, E., Feitosa, D., & Zwitter, A. (2022). A systematic literature review on the use of big data for sustainable tourism. Current Issues in Tourism, 25(11), 1711–1730. https://doi.org/10.1080/13683500.2021.1974358
  • Ramos, C. M., Cardoso, P. J., Fernandes, H. C., & Rodrigues, J. M. (2022). A decision-support system to analyse customer satisfaction applied to a tourism transport service. Multimodal Technologies and Interaction, 7(1), 5. https://doi.org/10.3390/mti7010005
  • Rassal, C., Correia, A., & Serra, F. (2024). Understanding online reviews in all-inclusive hotels servicescape: A fuzzy set approach. Journal of Quality Assurance in Hospitality & Tourism, 25(6), 1607–1634. https://doi.org/10.1080/1528008x.2023.2167761
  • Rasyida, D. R., Ulkhaq, M. M., Setiowati, P. R., & Setyorini, N. A. (2016, August 1). Assessing service quality: A combination of SERVPERF and importance-performance analysis., MATEC Web of Conferences, (68), 06003. https://doi.org/10.1051/matecconf/20166806003
  • Rivera, D. E., Fa, M. C., Sampaio, P., & Villar, A. S. (2019). Exploring the role of service delivery in remarkable tourism experiences. Sustainability, 11(5), 1–19. https://doi.org/10.3390/su11051382
  • Sakas, D. P., Reklitis, D. P., Terzi, M. C., & Vassilakis, C. (2022). Multichannel digital marketing optimizations through big data analytics in the tourism and hospitality industry. Journal of Theoretical and Applied Electronic Commerce Research, 17(4), 1383–1408. https://doi.org/10.3390/jtaer17040070
  • Schiessl, D., Manosso, F. C., Alves, F., & Prado, P. H. M. H. (2024). Hotel ratings: The impact of trip type (business vs leisure). Tourism Review. https://doi.org/10.1108/TR-11-2023-0807
  • Shu, Z., Llorens-Marin, M., Carrasco, R. A., & Romero, M. S. (2025). Customer electronic word of mouth management strategies based on computing with words: The case of spanish luxury hotel reviews on TripAdvisor. Electronics, 14(2), 325. https://doi.org/10.3390/electronics14020325
  • Sigala, M., Rahimi, R., & Thelwall, M. (2019). Big data and innovation in tourism, travel, and hospitality. Culinary Science & Hospitality Research, 23(6), 1–11. https://doi.org/10.1007/978-981-13-6339-9
  • Silva, E. M., Freitas, G. A. D., & Rebouças, S. M. D. P. (2021). Quality of accommodation in Ceará: A study based on TripAdvisor customer reviews. Revista Brasileira de Pesquisa em Turismo, 15, e-2011. https://doi.org/10.7784/rbtur.v15i3.2011
  • Stringam, B. B., & Gerdes Jr, J. (2010). An analysis of word-of-mouse ratings and guest comments of online hotel distribution sites. Journal of Hospitality Marketing & Management, 19(7), 773–796. https://doi.org/10.1080/19368623.2010.508009
  • Şahin, I., Gulmez, M., & Kitapci, O. (2017). E-complaint tracking and online problem-solving strategies in hospitality management: Plumbing the depths of reviews and responses on TripAdvisor. Journal of Hospitality and Tourism Technology, 8(3), 372–394. https://doi.org/10.1108/jhtt-02-2017-0009
  • Tandafatu, N. K., Ermilinda, L., & Darkel, Y. B. M. (2024). Digital transformation in tourism: Exploring the impact of technology on travel experiences. International Journal of Multidisciplinary Approach Sciences and Technologies, 1(1), 55–64. https://doi.org/10.62207/w3vsg352
  • Tripadvisor. (2025). Travelers’ Choice Awards Best of the Best Hotels All-Inclusive - Türkiye. Retrieved from https://www.tripadvisor.com/TravelersChoice-Hotels-cAllInclusive-g293969, November 8, 2025.
  • Tuna, M. F., Akdoğan, Ş., & Kaynar, O. (2021). Analysis of hotel-related non-review customer feedbacks. Sciences, 22(2), 50–81. https://doi.org/10.37880/cumuiibf.869489
  • Uslu Cibere, G., Başaran, M. A., & Kantarcı, K. (2020). Evaluation of hotel performance attributes through consumer generated reviews: The case of Bratislava. Advances in Hospitality and Tourism Research (AHTR), 8(1), 48–75. https://doi.org/10.30519/ahtr.592312
  • Xu, X. (2018). Does traveler satisfaction differ in various travel group compositions? Evidence from online reviews. International Journal of Contemporary Hospitality Management, 30(3), 1663–1685. https://doi.org/10.1108/ijchm-03-2017-0171
  • Yadav, M. L., & Roychoudhury, B. (2019). Effect of trip mode on opinion about hotel aspects: A social media analysis approach. International Journal of Hospitality Management, 80, 155–165. https://doi.org/10.1016/j.ijhm.2019.02.002
  • Yang, X., Zhang, L., & Feng, Z. (2024). Personalized tourism recommendations and the E-tourism user experience. Journal of Travel Research, 63(5), 1183–1200. https://doi.org/10.1177/00472875231187332
  • Yılmaz, E. S. (2020). The effects on consumer behavior of hotel-related comments on the TripAdvisor website: An Istanbul case. Advances in Hospitality and Tourism Research, 8(1), 1–29. https://doi.org/10.30519/ahtr.536303
  • Yolal, M., Chi, C. G. Q., & Pesämaa, O. (2017). Examine destination loyalty of first-time and repeat visitors at all-inclusive resorts. International Journal of Contemporary Hospitality Management, 29(7), 1834–1853. https://doi.org/10.1108/ijchm-06-2015-0293
  • Yoon, Y., Kim, A. J., Kim, J., & Choi, J. (2019). The effects of eWOM characteristics on consumer ratings: Evidence from TripAdvisor.com. International Journal of Advertising, 38(5), 684–703. https://doi.org/10.1080/02650487.2018.1541391
  • Yu, M., & Hyun, S. S. (2019). The impact of foreign flight attendants’ service quality on behavioral intention toward their home country—Applied SERVPERF model. Sustainability, 11(15), 4136. https://doi.org/10.3390/su11154136
  • Yuan, Y., Chan, C. S., Eichelberger, S., Ma, H., & Pikkemaat, B. (2022). The effect of social media on travel planning process by Chinese tourists: The way forward to tourism futures. Journal of Tourism Futures. https://doi.org/10.1108/jtf-04-2021-0094
  • Zarifah, N., & Hafiz, M. (2020). Help me TripAdvisor! Examining the relationship between Tripadvisor e-WOM attributes, trusts towards online reviews and travellers behavioural intentions. Journal of Information and Organizational Sciences, 44(1), 83–112. https://doi.org/10.31341/jios.44.1.4
  • Zheng, T., Youn, H., & Kincaid, C. S. (2009). An analysis of customers' e-complaints for luxury resort properties. Journal of Hospitality Marketing & Management, 18(7), 718–729. https://doi.org/10.1080/19368620903170240
  • Zoghi, F. S. (2025). Hotel performance attributes and consumer complaints in online reviews. Review of Socio-Economic Perspectives, 10(1), 27–43. https://doi.org/10.2478/rsep-2025-0004

What are the key attributes behind guest satisfaction in award-winning all-inclusive hotels: An empirical analysis from Türkiye

Yıl 2025, Cilt: 7 Sayı: 2, 79 - 103, 02.01.2026

Öz

In today’s tourism industry, online recommendation systems and user reviews play a crucial role in guest decision-making. These platforms provide valuable insights into hotel service quality and customer satisfaction. This study investigates online reviews of all-inclusive hotels in Türkiye, focusing on the key factors influencing guest satisfaction. Reviews from 15 hotels awarded the "Best of the Best Hotels Travelers’ Choice" on TripAdvisor in 2025 are analyzed. The findings reveal that the hotels generally receive high ratings, with most reviews being positive. Among six service attributes (value, service, room, cleanliness, location, and sleep quality), value emerges as the most influential factor in guest satisfaction, with a one-unit increase in value leading to a 3.6 times higher chance of positive reviews. Service also has a significant impact, while room is the least influential factor. Analysis by travel type shows no major differences in overall satisfaction, but couples and business travelers are more critical. Therefore, hotel managers should tailor services to meet the expectations of these groups. Furthermore, location is evaluated independently from other factors.

Kaynakça

  • Aakash, A., & Gupta Aggarwal, A. (2022). Assessment of hotel performance and guest satisfaction through eWOM: Big data for better insights. International Journal of Hospitality & Tourism Administration, 23(2), 317–346. https://doi.org/10.1080/15256480.2020.1746218
  • Abashidze, I. (2024). The influence of online platforms on decision-making process and behavioural traits of international travelers. European Scientific Journal, 20(37), 51. https://doi.org/10.19044/esj.2024.v20n37p51
  • Adeola, O., & Evans, O. (2019). Digital tourism: Mobile phones, internet and tourism in Africa. Tourism Recreation Research, 44(2), 190–202. https://doi.org/10.1080/02508281.2018.1562662
  • Ahn, D., Park, H., & Yoo, B. (2017). Which group do you want to travel with? A study of rating differences among groups in online travel reviews. Electronic Commerce Research and Applications, 25, 105–114. https://doi.org/10.1016/j.elerap.2017.09.001
  • Almeida, G. S. D., & Pelissari, A. S. (2019). Customer satisfaction based on the attributes of accommodation services. Revista Brasileira de Pesquisa em Turismo, 13(02), 32–53. https://doi.org/10.7784/rbtur.v13i2.1516
  • Alrawadieh, Z., & Demirkol, Ş. (2015). Konaklama işletmelerinde e-şikâyet yönetimi: İstanbul’daki beş yıldızlı oteller üzerinde bir çalışma. Nişantaşı Üniversitesi Sosyal Bilimler Dergisi, 3(1), 130–148. https://doi.org/10.21733/ibad.628032
  • Atabay, L., & Çizel, B. (2020). Comparative content analysis of hotel reviews by mass tourism destination. Journal of Tourism and Services, 11(21), 147–166. https://doi.org/10.29036/jots.v11i21.163
  • Awal, R. I. R., Rahayu, A., Hendrayati, H., Heryana, N., Rahman, S. Y., Deny, M., & Lestari, F. (2025). Digital value-based pricing strategy in tourism marketing: a systematic literature review approach. Dinasti International Journal of Economics, Finance & Accounting (DIJEFA), 5(6). https://doi.org/10.38035/dijefa.v5i6.3728
  • Banerjee, S., & Chua, A. Y. (2016). In search of patterns among travellers' hotel ratings in TripAdvisor. Tourism Management, 53, 125–131. https://doi.org/10.1016/j.tourman.2015.09.020
  • Başaran, M. A., Dogan, S., & Kantarci, K. (2020). On modeling of responses generated by travel 2.0 implementation: Fuzzy rule-based systems. International Journal of Contemporary Hospitality Management, 32(4), 1503–1522.
  • Bhat, M. A. (2012). Tourism service quality: A dimension-specific assessment of SERVQUAL. Global Business Review, 13(2), 327–337. https://doi.org/10.1177/097215091201300210
  • Ceylan, U., & Uzun, A. H. (2024). Otel işletmelerine yönelik çevrimiçi şikâyetlerin incelenmesi: Ankara örneği. Sinop-e: Turizm Araştırmaları Dergisi, 1(2), 74–94.
  • Chiang, H. S., & Huang, T. C. (2015). User-adapted travel planning system for personalized schedule recommendation. Information Fusion, 21, 3–17. https://doi.org/10.1016/j.inffus.2013.05.011
  • Chiu, M. C., Huang, J. H., Gupta, S., & Akman, G. (2021). Developing a personalized recommendation system in a smart product service system based on unsupervised learning model. Computers in Industry, 128, 103421. https://doi.org/10.1016/j.compind.2021.103421
  • Choi, T. Y., & Chu, R. (2001). Determinants of hotel guests’ satisfaction and repeat patronage in the Hong Kong hotel industry. International Journal of Hospitality Management, 20(3), 277–297. https://doi.org/10.1016/s0278-4319(01)00006-8
  • Chuang, C. M., Wu, C. X., & Stanley Snell, R. (2023). How do online travel reviews facilitate informed purchase decisions?. Asia Pacific Journal of Tourism Research, 28(4), 323–340. https://doi.org/10.1080/10941665.2023.2228939
  • Çizel, B., Çizel, R., & Ajanovic, E. (2015). Which hotel attributes matter for mass tourist: A qualitative research on tourists’ review on TripAdvisor. People: International Journal of Social Sciences, 1(1), 632–642. https://doi.org/10.20319/pijss.2015.s21.632642
  • Da’u, A., & Salim, N. (2020). Recommendation system based on deep learning methods: A systematic review and new directions. Artificial Intelligence Review, 53(4), 2709–2748. https://doi.org/10.1007/s10462-019-09744-1
  • David, T., Almedida-Santana, A., Hernández, J. M., & Moreno-Gil, S. (2018). Understanding European tourists’ use of e-tourism platforms. Analysis of Networks. Information Technology & Tourism, 20(1), 131–152. https://doi.org/10.1007/s40558-018-0113-z
  • Devahastin, D. D., Sayasonti, S., Aung, C. M., Aung, Z. P., & Wongwaiyut, P. (2024). Digital transformation of supply chain management for tourism industry in Thailand. Journal of Supply Chain Management: Research and Practice, 18(2), 28–39. https://doi.org/10.59160/ijscm.v12i3.6135
  • Doğan, S., Başaran, M. A., & Kantarcı, K. (2020). Konaklama işletmelerinin tavsiye edilmesini etkileyen hizmetlerin belirlenmesi: Alanya’da bir araştırma. Türk Turizm Araştırmaları Dergisi, 4(4), 3769–3784. https://doi.org/10.26677/tr1010.2020.590
  • Doğan, S., Başaran, M. A., & Kantarci, K. (2020). Determination of attributes affecting price-performance using fuzzy rule-based systems: Online ratings of hotels by travel 2.0 users. Journal of Hospitality and Tourism Technology, 11(2), 291–311. https://doi.org/10.1108/jhtt-07-2018-0067
  • Filieri, R., Alguezaui, S., & McLeay, F. (2015). Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth. Tourism Management, 51, 174–185. https://doi.org/10.1016/j.tourman.2015.05.007
  • García-Barriocanal, E., Sicilia, M.A., & Korfiatis, N. (2010). Exploring hotel service quality experience indicators in user-generated content: A case using TripAdvisor data. MCIS 2010 Proceedings. (33). https://aisel.aisnet.org/mcis2010/33
  • Garrigos-Simon, F. J., Narangajavana-Kaosiri, Y., & Narangajavana, Y. (2019). Quality in tourism literature: A bibliometric review. Sustainability, 11(14), 3859. https://doi.org/10.3390/su11143859
  • Gençer, K., & Keşkekci, D. (2023). Beş yıldızlı otellerin hizmet hataları ve telafi yöntemlerinin incelenmesi: Antalya otelleri örneği. Seyahat ve Otel İşletmeciliği Dergisi, 20(2), 142–158. https://doi.org/10.24010/soid.1231506
  • Gim, J., Kim, S. I., Park, S., & Kim, H. (2025). Traveling alone, reviewing differently: Identifying distinctive hotel evaluation behaviors of solo travelers. Journal of Travel & Tourism Marketing, 42(1), 100–117. https://doi.org/10.1080/10548408.2024.2425103
  • Gretzel, U. (2022). The smart DMO: A new step in the digital transformation of destination management organizations. European Journal of Tourism Research, 30, 3002–3002. https://doi.org/10.54055/ejtr.v30i.2589
  • Guo, X., Pesonen, J., & Komppula, R. (2021). Comparing online travel review platforms as destination image information agents. Information Technology & Tourism, 23(2), 159–187. https://doi.org/10.1007/s40558-021-00201-w
  • Guo, Y., Barnes, S. J., & Jia, Q. (2017). Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent Dirichlet allocation. Tourism Management, 59, 467–483. https://doi.org/10.1016/j.tourman.2016.09.009
  • Hargreaves, C. A. (2015). Analysis of hotel guest satisfaction ratings and reviews: An application in Singapore. American Journal of Marketing Research, 1(4), 208–214.
  • Hojeghan, S. B., & Esfangareh, A. N. (2011). Digital economy and tourism impacts, influences and challenges. Procedia-Social and Behavioral Sciences, 19, 308–316. https://doi.org/10.1016/j.sbspro.2011.05.136
  • Hu, H., & Li, C. (2023). Smart tourism products and services design based on user experience under the background of big data. Soft Computing, 27(17), 12711–12724. https://doi.org/10.1007/s00500-023-08851-0
  • Javadpour, L., & Joseph-Mathews, S. (2023). An examination of alignment of hotel brand differentiation and customer priorities: A case study of three unique destinations. Journal of Business and Management, 28(2), 61–88. https://doi.org/10.1504/jbm.2023.141299
  • Kaveski Peres, C., & Pacheco Paladini, E. (2021). Exploring the attributes of hotel service quality in Florianópolis-SC, Brazil: An analysis of TripAdvisor reviews. Cogent Business & Management, 8(1), 1926211. https://doi.org/10.1080/23311975.2021.1926211
  • Koronios, K., Dimitropoulos, P., Kriemadis, A., Ioannis, D., Papadopoulos, A., & Manousaridou, G. (2020). Tourists satisfaction with all-inclusive packages: The moderating impact of income and family size. Cultural and Tourism Innovation in the Digital Era: Sixth International IACuDiT Conference, 597–610. https://doi.org/10.1007/978-3-030-36342-0_46
  • Lee, C. C., & Hu, C. (2005). Analyzing hotel customers' e-complaints from an internet complaint forum. Journal of Travel & Tourism Marketing, 17(2-3), 167–181. https://doi.org/10.1300/j073v17n02_13
  • Liberato, P., Alen, E., & Liberato, D. (2018). Smart tourism destination triggers consumer experience: The case of Porto. European Journal of Management and Business Economics, 27(1), 6–25. https://doi.org/10.1108/ejmbe-11-2017-0051
  • Li, H., Liu, Y., Tan, C. W., & Hu, F. (2020). Comprehending customer satisfaction with hotels: Data analysis of consumer-generated reviews. International Journal of Contemporary Hospitality Management, 32(5), 1713–1735. https://doi.org/10.1108/ijchm-06-2019-0581
  • Limberger, P. F., Dos Anjos, F. A., de Souza Meira, J. V., & dos Anjos, S. J. G. (2014). Satisfaction in hospitality on TripAdvisor.com: An analysis of the correlation between evaluation criteria and overall satisfaction. Tourism & Management Studies, 10(1), 59–65.
  • Litvin, S. W., & Dowling, K. M. (2018). TripAdvisor and hotel consumer brand loyalty. Current Issues in Tourism, 21(8), 842–846. https://doi.org/10.1080/13683500.2016.1265488
  • Liu, W., & Shih, H. P. (2021). How do search-based and experience-based information matter in the evaluation of user satisfaction? The case of TripAdvisor. Aslib Journal of Information Management, 73(5), 659–678. https://doi.org/10.1108/ajim-03-2021-0093
  • Mahabub, S., Hossain, M. R., & Snigdha, E. Z. (2025). Data-driven decision-making and strategic leadership: AI-powered business operations for competitive advantage and sustainable growth. Journal of Computer Science and Technology Studies, 7(1), 326–336. https://doi.org/10.32996/jcsts.2025.7.1.24
  • Manes, E., & Tchetchik, A. (2018). The role of electronic word of mouth in reducing information asymmetry: An empirical investigation of online hotel booking. Journal of Business Research, 85, 185–196. https://doi.org/10.1016/j.jbusres.2017.12.019
  • Mao, Z., Yang, Y., & Wang, M. (2018). Sleepless nights in hotels? Understanding factors that influence hotel sleep quality. International Journal of Hospitality Management, 74, 189–201. https://doi.org/10.1016/j.ijhm.2018.05.002
  • Mariani, M., Bresciani, S., & Dagnino, G. B. (2021). The competitive productivity (CP) of tourism destinations: an integrative conceptual framework and a reflection on big data and analytics. International Journal of Contemporary Hospitality Management, 33(9), 2970–3002. https://doi.org/10.1108/ijchm-09-2020-1102
  • Neuhofer, B., Buhalis, D., & Ladkin, A. (2015). Smart technologies for personalized experiences: A case study in the hospitality domain. Electronic Markets, 25(3), 243–254. https://doi.org/10.1007/s12525-015-0182-1
  • Nezdoyminov, S., Bedradina, G., & Ivanov, A. (2019). Digital technology in the management of quality service in tourism business. International Journal of Engineering and Advanced Technology, 9(1), 1865–1869. https://doi.org/10.35940/ijeat.a1001.109119
  • Nicoli, N., & Papadopoulou, E. (2017). TripAdvisor and reputation: A case study of the hotel industry in Cyprus. EuroMed Journal of Business, 12(3), 316–334. https://doi.org/10.1108/emjb-11-2016-0031
  • Nilashi, M., Fallahpour, A., Wong, K. Y., & Ghabban, F. (2022). Customer satisfaction analysis and preference prediction in historic sites through electronic word of mouth. Neural Computing and Applications, 34(16), 13867–13881. https://doi.org/10.1007/s00521-022-07186-5
  • Noone, B. M., & Robson, S. K. (2016). Understanding consumers’ inferences from price and nonprice information in the online lodging purchase decision. Service Science, 8(2), 108–123. https://doi.org/10.1287/serv.2016.0141
  • Oliveira-Cardoso, Q. J. D., Martínez-González, J. A., & Álvarez-Albelo, C. D. (2025). Hotel guest satisfaction: A predictive and discriminant study using TripAdvisor ratings. Administrative Sciences, 15(7), 264. https://doi.org/10.3390/admsci15070264
  • Özdemir, B., Çizel, B., & Bato Cizel, R. (2012). Satisfaction with all-inclusive tourism resorts: The effects of satisfaction with destination and destination loyalty. International Journal of Hospitality and Tourism Administration, 13(2). https://doi.org/10.1080/15256480.2012.669313
  • Park, J., & Jeong, E. (2019). Service quality in tourism: A systematic literature review and keyword network analysis. Sustainability, 11(13), 3665. https://doi.org/10.3390/su11133665
  • Pencarelli, T. (2020). The digital revolution in the travel and tourism industry. Information Technology & Tourism, 22(3), 455–476. https://doi.org/10.1007/s40558-019-00160-3
  • Puri, G., & Singh, K. (2018). The role of service quality and customer satisfaction in tourism industry: A review of SERVQUAL Model. International Journal of Research and Analytical Reviews, 5(4).
  • Radojevic, T., Stanisic, N., & Stanic, N. (2015). Solo travellers assign higher ratings than families: Examining customer satisfaction by demographic group. Tourism Management Perspectives, 16, 247–258. https://doi.org/10.1016/j.tmp.2015.08.004
  • Rahmadian, E., Feitosa, D., & Zwitter, A. (2022). A systematic literature review on the use of big data for sustainable tourism. Current Issues in Tourism, 25(11), 1711–1730. https://doi.org/10.1080/13683500.2021.1974358
  • Ramos, C. M., Cardoso, P. J., Fernandes, H. C., & Rodrigues, J. M. (2022). A decision-support system to analyse customer satisfaction applied to a tourism transport service. Multimodal Technologies and Interaction, 7(1), 5. https://doi.org/10.3390/mti7010005
  • Rassal, C., Correia, A., & Serra, F. (2024). Understanding online reviews in all-inclusive hotels servicescape: A fuzzy set approach. Journal of Quality Assurance in Hospitality & Tourism, 25(6), 1607–1634. https://doi.org/10.1080/1528008x.2023.2167761
  • Rasyida, D. R., Ulkhaq, M. M., Setiowati, P. R., & Setyorini, N. A. (2016, August 1). Assessing service quality: A combination of SERVPERF and importance-performance analysis., MATEC Web of Conferences, (68), 06003. https://doi.org/10.1051/matecconf/20166806003
  • Rivera, D. E., Fa, M. C., Sampaio, P., & Villar, A. S. (2019). Exploring the role of service delivery in remarkable tourism experiences. Sustainability, 11(5), 1–19. https://doi.org/10.3390/su11051382
  • Sakas, D. P., Reklitis, D. P., Terzi, M. C., & Vassilakis, C. (2022). Multichannel digital marketing optimizations through big data analytics in the tourism and hospitality industry. Journal of Theoretical and Applied Electronic Commerce Research, 17(4), 1383–1408. https://doi.org/10.3390/jtaer17040070
  • Schiessl, D., Manosso, F. C., Alves, F., & Prado, P. H. M. H. (2024). Hotel ratings: The impact of trip type (business vs leisure). Tourism Review. https://doi.org/10.1108/TR-11-2023-0807
  • Shu, Z., Llorens-Marin, M., Carrasco, R. A., & Romero, M. S. (2025). Customer electronic word of mouth management strategies based on computing with words: The case of spanish luxury hotel reviews on TripAdvisor. Electronics, 14(2), 325. https://doi.org/10.3390/electronics14020325
  • Sigala, M., Rahimi, R., & Thelwall, M. (2019). Big data and innovation in tourism, travel, and hospitality. Culinary Science & Hospitality Research, 23(6), 1–11. https://doi.org/10.1007/978-981-13-6339-9
  • Silva, E. M., Freitas, G. A. D., & Rebouças, S. M. D. P. (2021). Quality of accommodation in Ceará: A study based on TripAdvisor customer reviews. Revista Brasileira de Pesquisa em Turismo, 15, e-2011. https://doi.org/10.7784/rbtur.v15i3.2011
  • Stringam, B. B., & Gerdes Jr, J. (2010). An analysis of word-of-mouse ratings and guest comments of online hotel distribution sites. Journal of Hospitality Marketing & Management, 19(7), 773–796. https://doi.org/10.1080/19368623.2010.508009
  • Şahin, I., Gulmez, M., & Kitapci, O. (2017). E-complaint tracking and online problem-solving strategies in hospitality management: Plumbing the depths of reviews and responses on TripAdvisor. Journal of Hospitality and Tourism Technology, 8(3), 372–394. https://doi.org/10.1108/jhtt-02-2017-0009
  • Tandafatu, N. K., Ermilinda, L., & Darkel, Y. B. M. (2024). Digital transformation in tourism: Exploring the impact of technology on travel experiences. International Journal of Multidisciplinary Approach Sciences and Technologies, 1(1), 55–64. https://doi.org/10.62207/w3vsg352
  • Tripadvisor. (2025). Travelers’ Choice Awards Best of the Best Hotels All-Inclusive - Türkiye. Retrieved from https://www.tripadvisor.com/TravelersChoice-Hotels-cAllInclusive-g293969, November 8, 2025.
  • Tuna, M. F., Akdoğan, Ş., & Kaynar, O. (2021). Analysis of hotel-related non-review customer feedbacks. Sciences, 22(2), 50–81. https://doi.org/10.37880/cumuiibf.869489
  • Uslu Cibere, G., Başaran, M. A., & Kantarcı, K. (2020). Evaluation of hotel performance attributes through consumer generated reviews: The case of Bratislava. Advances in Hospitality and Tourism Research (AHTR), 8(1), 48–75. https://doi.org/10.30519/ahtr.592312
  • Xu, X. (2018). Does traveler satisfaction differ in various travel group compositions? Evidence from online reviews. International Journal of Contemporary Hospitality Management, 30(3), 1663–1685. https://doi.org/10.1108/ijchm-03-2017-0171
  • Yadav, M. L., & Roychoudhury, B. (2019). Effect of trip mode on opinion about hotel aspects: A social media analysis approach. International Journal of Hospitality Management, 80, 155–165. https://doi.org/10.1016/j.ijhm.2019.02.002
  • Yang, X., Zhang, L., & Feng, Z. (2024). Personalized tourism recommendations and the E-tourism user experience. Journal of Travel Research, 63(5), 1183–1200. https://doi.org/10.1177/00472875231187332
  • Yılmaz, E. S. (2020). The effects on consumer behavior of hotel-related comments on the TripAdvisor website: An Istanbul case. Advances in Hospitality and Tourism Research, 8(1), 1–29. https://doi.org/10.30519/ahtr.536303
  • Yolal, M., Chi, C. G. Q., & Pesämaa, O. (2017). Examine destination loyalty of first-time and repeat visitors at all-inclusive resorts. International Journal of Contemporary Hospitality Management, 29(7), 1834–1853. https://doi.org/10.1108/ijchm-06-2015-0293
  • Yoon, Y., Kim, A. J., Kim, J., & Choi, J. (2019). The effects of eWOM characteristics on consumer ratings: Evidence from TripAdvisor.com. International Journal of Advertising, 38(5), 684–703. https://doi.org/10.1080/02650487.2018.1541391
  • Yu, M., & Hyun, S. S. (2019). The impact of foreign flight attendants’ service quality on behavioral intention toward their home country—Applied SERVPERF model. Sustainability, 11(15), 4136. https://doi.org/10.3390/su11154136
  • Yuan, Y., Chan, C. S., Eichelberger, S., Ma, H., & Pikkemaat, B. (2022). The effect of social media on travel planning process by Chinese tourists: The way forward to tourism futures. Journal of Tourism Futures. https://doi.org/10.1108/jtf-04-2021-0094
  • Zarifah, N., & Hafiz, M. (2020). Help me TripAdvisor! Examining the relationship between Tripadvisor e-WOM attributes, trusts towards online reviews and travellers behavioural intentions. Journal of Information and Organizational Sciences, 44(1), 83–112. https://doi.org/10.31341/jios.44.1.4
  • Zheng, T., Youn, H., & Kincaid, C. S. (2009). An analysis of customers' e-complaints for luxury resort properties. Journal of Hospitality Marketing & Management, 18(7), 718–729. https://doi.org/10.1080/19368620903170240
  • Zoghi, F. S. (2025). Hotel performance attributes and consumer complaints in online reviews. Review of Socio-Economic Perspectives, 10(1), 27–43. https://doi.org/10.2478/rsep-2025-0004
Toplam 84 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İşletme , Turist Davranışı ve Ziyaretçi Deneyimi
Bölüm Araştırma Makalesi
Yazarlar

Egemen Güneş Tükenmez 0000-0003-0534-6783

Gönderilme Tarihi 14 Kasım 2025
Kabul Tarihi 29 Aralık 2025
Yayımlanma Tarihi 2 Ocak 2026
Yayımlandığı Sayı Yıl 2025 Cilt: 7 Sayı: 2

Kaynak Göster

APA Tükenmez, E. G. (2026). What are the key attributes behind guest satisfaction in award-winning all-inclusive hotels: An empirical analysis from Türkiye. Turizm Ekonomi ve İşletme Araştırmaları Dergisi, 7(2), 79-103.