Tourist Preferences at Hotel and Resort Based on Review Data


  • Yerik Afrianto Singgalen * Mail Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
  • (*) Corresponding Author
Keywords: Cultural dynamics; Tourist preferences; Hotel management; Service expectations; Cross-cultural adaptation

Abstract

This study investigates the relationship between cultural dynamics and tourist preferences in hotel and resort settings through comprehensive review data analysis across multiple countries of origin. Using thematic analysis methodology implemented through Atlas.Ti software, the research examines patterns in accommodation preferences, service expectations, and satisfaction determinants. The findings reveal significant variations in guest preferences across different cultural backgrounds, with statistical analysis showing distinctive patterns in visitor demographics. Notably, couples constitute the highest proportion of visitors across multiple destinations, with exceptionally high concentrations in Hong Kong (92%), Malta (90%), and Argentina (62%). Cultural influences manifest through specific preferences in room configurations, dining experiences, and recreational offerings, where Asian tourists emphasize personalized service interactions and traditional elements. At the same time, European visitors prioritize authentic local experiences within luxury accommodation frameworks. The study identifies four key dimensions of managerial adaptation: cultural sensitivity, customization, staff training, and service modifications. These findings contribute to advancing understanding of cultural influences in hospitality contexts while providing practical guidelines for enhancing guest experiences in international hotel operations. The research concludes that effective cultural adaptation strategies enhance guest satisfaction and create sustainable competitive advantages in increasingly globalized hospitality markets.

Downloads

Download data is not yet available.

References

Alzyoud, S., & Abuzaid, R. (2024). The influence of leader inclusiveness on learning from failure in the hotel industry. Development and Learning in Organizations, 38(2), 13–15. https://doi.org/10.1108/DLO-03-2023-0082

Apaza-Panca, C. M., Ramos, K. S. J. C., Ramos, A. P. T., Saico, C. R. Y., & Apaza-Apaza, S. (2024). Quality of service of accommodation establishments as a factor in tourism competitiveness. International Journal of Innovative Research and Scientific Studies, 7(3), 1128–1139. https://doi.org/10.53894/ijirss.v7i3.3100

Bennis, K., & Benazzi, K. (2024). Navigating Natural Disaster Disruption in the Hospitality Sector: Insights from the September 8, 2023 Earthquake in Morocco. Journal of Integrated Disaster Risk Management, 14(2). https://doi.org/10.5595/001c.123632

Berenguer-Contri, G., Gil-Saura, I., & Gallarza, M. (2024). Cocreating value with hotel guests in the “new normal”: the case of Spain. Consumer Behavior in Tourism and Hospitality, 19(4), 537–550. https://doi.org/10.1108/CBTH-12-2023-0231

Birdir, K., & Sahilli Birdir, S. (2024). Conclusion: addressing the labor shortage problem in the hospitality and tourism industries. Worldwide Hospitality and Tourism Themes, 16(5), 664–667. https://doi.org/10.1108/WHATT-09-2024-0233

Bulkrock, O., & Alsharman, N. (2024). A Natural Language Processing Approach for Sentiment Analysis of Hotel Reviews. International Journal of Advances in Soft Computing and Its Applications, 16(3), 15–32. https://doi.org/10.15849/IJASCA.241130.02

Çeltek, E. (2024). Unmanned smart hotel: applications and examples. Worldwide Hospitality and Tourism Themes, 16(5), 611–626. https://doi.org/10.1108/WHATT-06-2024-0137

Chandrakhanthan, J., & Dhanapal, C. (2024). Impact of Online Food Ordering System and Dinning on Consumers Preference with Special Reference to Bangalore. In Studies in Systems, Decision and Control (Vol. 487, pp. 63–72). https://doi.org/10.1007/978-3-031-35828-9_6

Cheng, L. C., Huang, H. Y., & Huang, Y. W. (2024). Multi-task Chinese aspect-based sentiment analysis framework for service improvement: a case study on BNB reviews. Electronic Commerce Research. https://doi.org/10.1007/s10660-024-09871-0

Datiko, D. B. (2024). The customer-centric-marketing (CCM) perspectives in the tourism and hospitality sector: insight from a developing country. International Journal of Tourism Policy, 14(1), 37–53. https://doi.org/10.1504/IJTP.2024.135429

Dippong, J., & Jillani, Z. (2024). Vocal Accommodation, Influence, and Performance Expectations. In Advances in Group Processes (Vol. 41, pp. 123–144). https://doi.org/10.1108/S0882-614520240000041006

Ervianty, R. M., Dina, N. Z., & Prassetyo, S. (2024). Clustering family-friendly hotels’ guests to develop tourism marketing strategies. Journal of the Geographical Institute Jovan Cvijic SASA, 74(2), 213–227. https://doi.org/10.2298/IJGI2402213M

Gazi, M. A. I., Islam, M. A., Masud, A. Al, Senathirajah, A. R. bin S., Biswas, S., & Shuvro, R. A. (2024). The moderating impacts of COVID-19 fear on hotel service quality and tourist satisfaction: Evidence from a developing country. Cogent Social Sciences, 10(1). https://doi.org/10.1080/23311886.2024.2331079

Grinshtain, Y., & Degani-Dinisman, O. (2024). Bottom-up Educational Leadership in Rural Communities in the Northern Israeli Periphery During the Iron Swords War. In Challenges facing Education Leadership in the Shadow of War: International and Multicultural Perspectives from Zones of Conflict (pp. 41–50). https://doi.org/10.4324/9781003571575-7

Habbat, N., Anoun, H., Hassouni, L., & Nouri, H. (2024). Hotel Demand Forecasting via Booking’s Comments Using Sentiment Analysis and Topic Modeling Techniques. In Advances in Science, Technology and Innovation (pp. 113–122). https://doi.org/10.1007/978-3-031-46849-0_13

Herjanto, H., Garza, R. F., Cary, J. C., & Kasuma, J. (2024). Hotel Guests’ Customer Value: Lgbtq Perspective. Tourism Review International, 28(4), 311–324. https://doi.org/10.3727/194344225X17315216888880

Hu, Y. H., Tsai, C. F., & Sun, Y. C. (2024). A novel hotel recommender system incorporating review sentiment and contextual information. International Journal of Data Science and Analytics. https://doi.org/10.1007/s41060-024-00598-7

Kim, B., Kim, J., Singh, A., Erdem, M., & Hardin, A. (2024). Factors Predicting Hotel Recommendations: A Comparison of Guest Feedback Before and After the Hotel Closures During the COVID-19 Pandemic. International Journal of Hospitality and Tourism Administration, 25(5), 1038–1061. https://doi.org/10.1080/15256480.2023.2213218

Klegr, T. (2024). Comparing Airbnb and traditional accommodation experiences using text-mining methods – the hedonic and utilitarian values framework. European Journal of Tourism Research, 38. https://doi.org/10.54055/ejtr.v38i.3299

Kolesárová, S., Šenková, A., Kormaníková, E., & Šambronská, K. (2024). Customer Reviews of Accommodation as an Important Factor in Choosing and Booking Accommodation: Analysis of Conditions in V4 Countries. Administrative Sciences, 14(12). https://doi.org/10.3390/admsci14120308

Liasidou, S., Afxentiou, G., Malkawi, E., & Antoniades, G. (2023). Attesting to hotel employees’ professionalism: views and perceptions of managers. EuroMed Journal of Business, 19(4), 720–735. https://doi.org/10.1108/EMJB-04-2022-0075

Lvov, A., & Komppula, R. (2024). The essence of the hotel room in the hotel business – the hotel managers’ perspective. European Journal of Tourism Research, 36. https://doi.org/10.54055/ejtr.v36i.3158

Mathew, M. M., Nanjundan, P., & Bashir, S. (2024). Sentiment Analysis of Online Hotel Reviews Employing Bidirectional GRU with Attention Mechanism. In ESIC 2024 - 4th International Conference on Emerging Systems and Intelligent Computing, Proceedings (pp. 237–242). https://doi.org/10.1109/ESIC60604.2024.10481617

Nawawi, I., Ilmawan, K. F., Maarif, M. R., & Syafrudin, M. (2024). Exploring Tourist Experience through Online Reviews Using Aspect-Based Sentiment Analysis with Zero-Shot Learning for Hospitality Service Enhancement. Information (Switzerland), 15(8). https://doi.org/10.3390/info15080499

Oloso, S. E., Shida, I. O., & Peter, M. W. (2024). Socio-Economic Factors Influencing Customer Level of Satisfaction on Hotel Infrastructure. African Journal of Hospitality, Tourism and Leisure, 13(1), 121–127. https://doi.org/10.46222/ajhtl.19770720.489

Owens, J. A., Bush, A., Campbell, P., Ward, R. J., & Lilly, F. R. W. (2024). Community-Engaged Insights: Understanding the Housing Needs of Rural Caregivers During Hospital Treatment. Public Health Nursing. https://doi.org/10.1111/phn.13522

Pulido-Fernández, J. I., Casado-Montilla, J., Carrillo-Hidalgo, I., & Durán-Román, J. L. (2024). Does type of accommodation influence tourist behavior? Hotel accommodation vs. rural accommodation. Anatolia, 35(2), 219–238. https://doi.org/10.1080/13032917.2023.2166089

Saltouridou, D., & Poulios, I. (2024). Inclusion and Sensory Accessibility in Hotels and Its Importance for Branding. In Springer Proceedings in Business and Economics (pp. 731–738). https://doi.org/10.1007/978-3-031-51038-0_79

Saut, M., & Bie, S. (2024). Impact of Service Expectation, Experiential Quality, and Perceived Value on Hotel Customer Satisfaction. Journal of Quality Assurance in Hospitality and Tourism, 25(4), 781–809. https://doi.org/10.1080/1528008X.2022.2141414

Sharma, R., Kharade, M. A., Kamthe, S. S., Vasudevan, A. R., & Dalvi, S. (2024). Sentiment Analysis: Decoding Workspace Emotions. In 2024 MIT Art, Design and Technology School of Computing International Conference, MITADTSoCiCon 2024. https://doi.org/10.1109/MITADTSoCiCon60330.2024.10575174

Shen, L., Pan, R., Lu, H., Duan, T., He, T., Liu, Y., & Zhao, L. (2024). Quantitative analysis of total accommodation space based on sedimentary simulation. Earth Science Frontiers, 31(2), 391–401. https://doi.org/10.13745/j.esf.sf.2023.9.1

Singgalen, Y. A., Wahyuningtyas, S. Y., Widodo, Y. E., Dasra, M. N. A., & Setiawan, R. W. (2024). Knowledge Discovery in Databases for Hotel Service Quality Improvement Through Data-Mining Approach. Journal of Theoretical and Applied Information Technology, 102(24), 9004–9020. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85213991405&origin=inward

Sthapit, E., Ji, C., Ping, Y., Prentice, C., Garrod, B., & Yang, H. (2024). Experience-driven well-being: the case of unmanned smart hotels. International Journal of Contemporary Hospitality Management, 36(13), 1–18. https://doi.org/10.1108/IJCHM-07-2023-1063

Sutantri, S., Sugiyo, D., Sutrisno, R. Y., Aditjondro, E., Wulandari, B. T., Wandasari, N. T., Rachmawati, R. P., & Wulansari, A. (2024). A Qualitative Evaluation of Smoke-Free Policy Implementation among the Hospitality Industry in Yogyakarta, Indonesia. Public Health of Indonesia, 10(2), 194–202. https://doi.org/10.36685/phi.v10i2.799

Szczepańska-Woszczyna, K., Thirakulwanich, A., & Kot, S. (2024). Modern Green Hotels Initiatives from Guests Perspective. Journal of Tourism and Services, 15(28), 285–304. https://doi.org/10.29036/jots.v15i28.768

Takuatung, S. N., & Bussracumpakorn, C. (2024). Boutique Hotel Service Digitalization: A Business Owner Study. Journal of Architectural/Planning Research and Studies, 21(1), 167–184. https://doi.org/10.56261/jars.v21.256845

Thompson, E. M., & Wright, N. Y. (2024). The Impact of an Environmental Shock on Customer Expectations and Perceptions in Selected Hotels in Jamaica. In Customer Experience Management in the Caribbean: Concepts, Case Studies and Challenges (pp. 53–65). https://doi.org/10.1079/9781800626799.0005

Tuchel, J., Hente, L., Hodeck, A., El Beih, S., & Zoromba, M. (2024). Expectations of Egyptian and German Sports Tourists Depending on Destination and Travel Companions. Societies, 14(2). https://doi.org/10.3390/soc14020027

Wang, J. (Sylvia), & Fu, X. (2024). Unveiling the human–robot encounter: guests’ perspectives on smart hotel experience. Journal of Hospitality and Tourism Technology, 15(5), 701–716. https://doi.org/10.1108/JHTT-01-2024-0006

Yağmur, Y., Demirel, A., & Kılıç, G. D. (2024). Top quality hotel managers’ perspectives on smart technologies: an exploratory study. Journal of Hospitality and Tourism Insights, 7(3), 1501–1531. https://doi.org/10.1108/JHTI-09-2022-0457

Zhong, Y., Williady, A., Handani, N. D., & Kim, H. S. (2024). Big Data Insights into Coastal Tourism: Analyzing Customer Satisfaction at Egyptian Red Sea Dive Resorts. Tourism and Hospitality, 5(4), 996–1011. https://doi.org/10.3390/tourhosp5040056


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Tourist Preferences at Hotel and Resort Based on Review Data

Dimensions Badge
Article History
Submitted: 2025-01-24
Published: 2025-02-24
Abstract View: 51 times
PDF Download: 14 times
Section
Articles

Most read articles by the same author(s)

1 2 3 4 > >>