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1
Afshartous, D., and Preston, R. A. (2011). “Key Results of Interaction Models with Centering,” Journal of Statistics Education, 19(3). Google Scholar ›
2
Aiken, L. S., West, S. G., and Reno, R. R. (1991). Multiple Regression: Testing and Interpreting Interactions, Sage, Newbury Park, CA. Google Scholar ›
3
Anguera-Torrell, O., and Nicolau, J. L. (2023). “Who Benefits More from Trade Shows: Independent, Franchised, or Chain-Owned/Managed Hotels?” Tourism Management, 98, Article 104770. Google Scholar ›
4
Assaf, A. G., Josiassen, A., and Agbola, F. W. (2015). “Attracting International Hotels: Locational Factors That Matter Most,” Tourism Management, 47, pp.329-340. Google Scholar ›
5
Bi, J. W., Zhu, X. E., and Han, T. Y. (2024). “Text Analysis in Tourism and Hospitality: A Comprehensive Review,” Journal of Travel Research, 63(8), pp.1847-1869. Google Scholar ›
6
Blei, D. M., Ng, A. Y., and Jordan, M. I. (2003). “Latent Dirichlet Allocation,” Journal of Machine Learning Research, 3, pp.993-1022. Google Scholar ›
7
Büschken, J., and Allenby, G. M. (2016). “Sentence-Based Text Analysis for Customer Reviews,” Marketing Science, 35(6), pp.953-975. Google Scholar ›
8
Chakraborty, I., Kim, M., and Sudhir, K. (2022). “Attribute Sentiment Scoring with Online Text Reviews: Accounting for Language Structure and Missing Attributes,” Journal of Marketing Research, 59(3), pp.600-622. Google Scholar ›
9
Chang, J., Boyd-Graber, J., Gerrish, S., Wang, C., and Blei, D. M. (2009). “Reading Tea Leaves: How Humans Interpret Topic Models,” Advances in Neural Information Processing Systems, 22, pp.288- 296. Google Scholar ›
10
Devlin, J., Chang, M. W., Lee, K., and Toutanova, K. (2019). “BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding,” in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Vol. 1, pp.4171-4186, Association for Computational Linguistics. Google Scholar ›
11
Doogan, C., and Buntine, W. (2021). “Topic Model or Topic Twaddle? Re-Evaluating Semantic Interpretability Measures,” in Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.3824 -3848, Association for Computational Linguistics. Google Scholar ›
12
Ghose, A., and Ipeirotis, P. G. (2011). “Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics,” IEEE Transactions on Knowledge and Data Engineering, 23(10), pp.1498-1512. Google Scholar ›
13
Guo, Y., Barnes, S. J., and Jia, Q. (2017). “Mining Meaning from Online Ratings and Reviews: Tourist Satisfaction Analysis Using Latent Dirichlet Allocation,” Tourism Management, 59, pp.467-483. Google Scholar ›
14
Hutto, C. J., and Gilbert, E. (2014). “VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text,” Proceedings of the International AAAI Conference on Web and Social Media, 8(1), pp.216-225. Google Scholar ›
15
Jeon, J., Kim, E., Wang, X., and Tang, L. (2023). “Predicting on Restaurant’s Hygiene Rating: Does Customer Review Emotion and Content Matter?” British Food Journal, 125(11), pp.3871-3887. Google Scholar ›
16
Kano, N., Seraku, N., Takahashi, F., and Tsuji, S. (1984). “Attractive Quality and Must- Be Quality,” Journal of the Japanese Society for Quality Control, 14(2), pp. 39-48. Google Scholar ›
17
Kim, D. Y. (2025). “The Impact of Online Review-Based Dental Service Attributes on Patient Satisfaction: Using KoBERT and BERTopic,” Services Marketing Journal, 18(2), pp.41-58. Google Scholar ›
18
Kim, D. Y. (2026). “Analyzing the Core Experience Structure of Art Subscription Service Customers: A Hierarchical Topic Modeling Approach Using BERTopic,” Journal of Arts Management and Policy, 77, pp.173 -199. Google Scholar ›
19
Kim, D. Y., and Kim, S. Y. (2022). “The Impact of Customer-Generated Evaluation Information on Sales in Online Platform-Based Markets,” Journal of Retailing and Consumer Services, 68, Article 103016. Google Scholar ›
20
Kim, D. Y., and Kim, S. Y. (2023). “Investigating the Effect of Customer-Generated Content on Performance in Online Platform- Based Experience Goods Market,” Journal of Retailing and Consumer Services, 74, Article 103409. Google Scholar ›
21
Kim, D. Y., Chaidir, R., Baek, J., and Song, T. H. (2025). “A Validity Assessment of Consumer Review Research Using Transformer-Based Sentiment Analysis,” Journal of Marketing Management Re- search, 30(3), pp.73-90. Google Scholar ›
22
Kim, D. Y., Chaidir, R., and Song, T. H. (2026). “Validating Topic Modeling for Consumer Reviews: Comparing LDA, BERTopic, and GPT with a Two-Stage Human Evaluation Framework,” Korean Journal of Business Administration, 39(3), pp.627-656. Google Scholar ›
23
Kim, D. Y., Seo, H. J., and Song, T. H. (2025). “Do All the Service Attributes Matter? Application of Customer Review-Based Attribute Extraction Considering Brand Status,” Journal of Retailing and Consumer Services, 87, Article 104345. Google Scholar ›
24
Kim, H., Song, T. H., and Kim, D. Y. (2026). “Analyzing Hotel Service Rating Formation Mechanisms Based on Explainable AI (XAI): Focusing on Nonlinear Tipping Points of Sentiment Scores and Mention Frequency,” Journal of Marketing Management Research, 31(3), pp.87-106. Google Scholar ›
25
Kim, O., and Baek, S. I. (2025). “Exploring the Associations Between Linguistic Features of Online Reviews and Polarization/ Bandwagon Effects,” Korea Management Review, 54(5), pp.1291-1315. Google Scholar ›
26
Lau, J. H., Newman, D., and Baldwin, T. (2014). “Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality,” in Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pp.530-539, Association for Computational Linguistics. Google Scholar ›
27
Lee, J.-W., and Park, C. (2021). “A Multi- Level Analysis on Factors Influencing the Usefulness of Online Review in the Global Hotel Market,” Korea Management Review, 50(3), pp.585-609. Google Scholar ›
28
Lee, H., Chung, N., and Koo, C. (2017). “The Relational Analysis Between Types of Online Hotel Review and Usefulness According to the Hotel Class,” Korea Management Review, 46(1), pp.137-156. Google Scholar ›
29
Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., and Stoyanov, V. (2019). “RoBERTa: A Robustly Optimized BERT Pretraining Approach,” arXiv Preprint arXiv:1907.11692. Google Scholar ›
30
Mankad, S., Han, H. S., Goh, J., and Gavirneni, S. (2016). “Understanding Online Hotel Reviews Through Automated Text Analysis,” Service Science, 8(2), pp.124-138. Google Scholar ›
31
Matzler, K., and Hinterhuber, H. H. (1998). “How to Make Product Development Projects More Successful by Integrating Kano’s Model of Customer Satisfaction into Quality Function Deployment,” Technovation, 18(1), pp.25-38. Google Scholar ›
32
Mudambi, S. M., and Schuff, D. (2010). “What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon. com,” MIS Quarterly, 34(1), pp.185-200. Google Scholar ›
33
Parasuraman, A., Zeithaml, V. A., and Berry, L. L. (1988). “SERVQUAL: A Multiple- Item Scale for Measuring Consumer Perceptions of Service Quality,” Journal of Retailing, 64(1), pp.12-40. Google Scholar ›
34
Radojevic, T., Stanisic, N., and Stanic, N. (2017). “Inside the Rating Scores: A Multilevel Analysis of the Factors Influencing Customer Satisfaction in the Hotel Industry,” Cornell Hospitality Quarterly, 58(2), pp.134-164. Google Scholar ›
35
Raudenbush, S. W., and Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods, 2nd ed., Sage, Thousand Oaks, CA. Google Scholar ›
36
Röder, M., Both, A., and Hinneburg, A. (2015). “Exploring the Space of Topic Coherence Measures,” in Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, pp.399-408, Association for Computing Machinery. Google Scholar ›
37
Sanh, V., Debut, L., Chaumond, J., and Wolf, T. (2019). “DistilBERT, a Distilled Version of BERT: Smaller, Faster, Cheaper and Lighter,” arXiv Preprint arXiv: 1910.01108. Google Scholar ›
38
Sann, R., and Lai, P. C. (2023). “Topic Modeling of the Quality of Guests’ Experience Using Latent Dirichlet Allocation: Western Versus Eastern Perspectives,” Consumer Behavior in Tourism and Hospitality, 18(1), pp.17-34. Google Scholar ›
39
Tubishat, M., Idris, N., and Abushariah, M. A. (2018). “Implicit Aspect Extraction in Sentiment Analysis: Review, Taxonomy, Opportunities, and Open Challenges,” Information Processing & Management, 54(4), pp.545-563. Google Scholar ›
40
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), pp.211-223. Google Scholar ›

Universal or Contextual? A Multilevel Analysis of Review-Derived Service Attributes in Hotel Satisfaction