The DOI matches its Crossref record; 61 of the 64 references it cites were found in a registry or an index.
What can big data and text analytics tell us about hotel guest experience and satisfaction?
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“allow for a better understanding of consumer behavior, interactions, and experiences with a product or service [77,78]”
From Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2020) · cites this paper as [78]
In the citing paper
“Studies, such as those of Marine-Roig and Clavé [47] and Xiang et al. [74], suggested that big data provides a huge amount of detail that contains deep-structure information on experiences, feelings, interests and opinions.”
From A Big Data Analytics Method for Tourist Behaviour Analysis (2017) · cites this paper as [74]
Citations
Cites
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2344428 · Cited by 35,801
Content Analysis: An Introduction to its Methodology.
Shelley, M., & Krippendorff, K. (1984) · Journal of the American Statistical Association · doi:10.2307/2288384 · Cited by 24,346
Content Analysis: An Introduction to Its Methodology
Krippendorff, K. (2019) · doi:10.4135/9781071878781 · Cited by 15,448
Multivariate Data Analysis, 6th ed
Tatham, R. L., Anderson, R. E., Babin, B. J., Black, W. C., & Hair, J. F. (2006) · Cited by 9,807
Hanrahan, G. (2008) · CRC Press eBooks · doi:10.1201/9781420067972-10 · Cited by 8,196
Opinion Mining and Sentiment Analysis
Pang, B., & Lee, L. (2008) · now publishers, Inc. eBooks · doi:10.1561/9781601981516 · Cited by 6,957
Opinion mining and sentiment analysis
Pang, B., & Lee, L. (2008) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000011 · Cited by 6,372
boyd, D., & Crawford, K. (2012) · Information, Communication & Society · doi:10.1080/1369118x.2012.678878 · Cited by 5,479
(2011) · Cited by 5,203
Detecting influenza epidemics using search engine query data
Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., & Brilliant, L. (2009) · Nature · doi:10.1038/nature07634 · Cited by 4,295
Flagged first, then by citations
3 of the 64 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- Aiden, 2014, The Predictive Power of Big Data, Newsweek
- Marcus, 2014, Eight (no, nine!) problems with big data, The New York Times
- Min, H., Lim, Y., Magnini, V.P., in press. Responding to negative online hotel reviews: the impacts of empathy statements, paraphrasing and speed. Cornell Hosp. Q.
- Oliver, 1981, Measurement and evaluation of satisfaction processes in retail settings, J. Retail., 57, 25
Cited by
Sorted by citations
Items 501–600 of 952
Saura, I. G., Molina, M. E. R., & Francés, D. S. (2019) · Springer eBooks · doi:10.1007/978-981-13-6339-9_12 · Cited by 9
Xia, M., & Zhang, Y. (2021) · Journal of Hospitality and Tourism Insights · doi:10.1108/jhti-02-2021-0039 · Cited by 9
Bibliometric and Retrospective Analysis on Economic Behavior for Inclusive Growth
Saher, L., Vakulenko, I., Shevchenko, K. V., Bondarenko, Y., & Lyulyov, O. V. (2022) · Financial Markets Institutions and Risks · doi:10.21272/fmir.6(2).102-111.2022 · Cited by 9
Carvalho, F. A. D., Ramos, R. F., & Fortes, N. (2024) · Tourism & Management Studies · doi:10.18089/tms.20240103 · Cited by 9
Tunca, S. (2025) · Tourism Recreation Research · doi:10.1080/02508281.2025.2503992 · Cited by 12
Barthélemy, J., Graf, N. S., & Karaburun, R. (2020) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2020.102828 · Cited by 9
How We Failed in Context: A Text-Mining Approach to Understanding Hotel Service Failures
Huang, S., Liang, L. J., & Choi, H. C. (2022) · Sustainability · doi:10.3390/su14052675 · Cited by 14
Data science for service design: An introductory overview of methods and opportunities
Kunneman, Y., Filho, M. A. D. M., & van der Waa, J. (2022) · The Design Journal · doi:10.1080/14606925.2022.2042108 · Cited by 9
Customer-Oriented Strategic Planning for Hotel Competitiveness Improvement Based on Online Reviews
Yuan, Y., You, T., Xu, T., & Xun, Y. (2022) · Sustainability · doi:10.3390/su142215299 · Cited by 9
Loyalty membership for luxury hotels in Malaysia
Hassan, H., Pourabedin, Z., BAKAR, S. A., & Chai, J. (2018) · International Journal of Tourism Cities · doi:10.1108/ijtc-01-2017-0004 · Cited by 9
Web Mining Customer Perceptions to Define Product Positions and Design Preferences
Chang, A., Trappey, C. V., Trappey, A. J. C., & Chen, L. W. L. (2020) · International Journal on Semantic Web and Information Systems · doi:10.4018/ijswis.2020040103 · Cited by 9
Market Intelligence: Social Media Analytics and Hotel Online Reviews
Xiang, Z., Schwartz, Z., & Uysal, M. (2016) · Tourism on the verge · doi:10.1007/978-3-319-44263-1_16 · Cited by 9
Self-citationA distributed incremental information acquisition model for large-scale text data
Sun, S., Gong, J., Zomaya, A. Y., & Wu, A. (2017) · Cluster Computing · doi:10.1007/s10586-017-1498-8 · Cited by 9
On modeling of responses generated by travel 2.0 implementation: fuzzy rule-based systems
Başaran, M. A., Doğan, S., & Kantarcı, K. (2020) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-03-2019-0279 · Cited by 10
Business analytics, corporate entrepreneurship, and open innovation
Valmohammadi, C., Sadeghi, M., Taraz, R., & Mehdikhani, R. (2024) · Management Decision · doi:10.1108/md-04-2023-0502 · Cited by 9
Unravelling tourism destination's competitiveness using big data analytics: a comparative analysis
Demirer, D. P., & Büyükeke, A. (2024) · Kybernetes · doi:10.1108/k-12-2023-2580 · Cited by 8
Ojo, A., & Rizun, N. (2019) · IEEE Access · doi:10.1109/access.2019.2947593 · Cited by 8
Digitization trends in hospitality and tourism
Cynthia, M.-T., Ingrid, P.-L., & Alicia, Y.-M. (2021) · Smart Tourism · doi:10.54517/st.v2i2.1709 · Cited by 8
The verbalization of numbers: An explainable framework for tourism online reviews
Nicolò, F. D., Bellantuono, L., Borzì, D., Bregonzio, M., Cilli, R., Marco, L. D., Lombardi, A., Pantaleo, E., Petruzzellis, L., Shashaj, A., et al. (2023) · International Journal of Engineering Business Management · doi:10.1177/18479790231151913 · Cited by 8
How Firm Strategies Affect Consumer Biases in Online Reviews
Wang, F. X., & Anderson, C. K. (2023) · Service Science · doi:10.1287/serv.2023.0316 · Cited by 8
Karayazı, S. S., Dane, G. Z., & Arentze, T. (2024) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi13040115 · Cited by 8
Singh, S., & Vijay, T. S. (2024) · Journal of Foodservice Business Research · doi:10.1080/15378020.2024.2401217 · Cited by 8
A Framework for Effective Data Analytics for Tourism Sector
Sinha, S., Bhatnagar, V., & Bansal, A. (2017) · International Journal of Grid and High Performance Computing · doi:10.4018/ijghpc.2017100106 · Cited by 8
Determining user needs through abnormality detection and heterogeneous embedding of usage sequence
Lee, Y., Cho, S., & Choi, J. (2019) · Electronic Commerce Research · doi:10.1007/s10660-019-09347-6 · Cited by 7
Bose, A. J., Munir, A., & Shabani, N. (2020) · International Conference on Consumer Electronics · doi:10.1109/icce46568.2020.9043023 · Cited by 8
Are gold hoop earrings and a dab of red lipstick enough to get even Democrats on the offensive?
Rasulo, M. (2020) · Journal of Language Aggression and Conflict · doi:10.1075/jlac.00057.ras · Cited by 8
Between comments and repeat visit: capturing repeat visitors with a hybrid approach
Kim, J., Jang, Y., Bae, K., Oh, S., Jeong, N. J., Park, E., Han, J., & del Pobil, A. P. (2021) · Data Technologies and Applications · doi:10.1108/dta-06-2020-0123 · Cited by 8
Methods and Techniques in Creative Tourism: Why Technologies Are So Relevant to Achieve Creativity?
Ribeiro, V. (2022) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80262-681-020221011 · Cited by 9
Aktaş, E., Kurgun, A., Özeren, E., & Küçükaltan, B. (2022) · International Journal of Organizational Leadership · doi:10.33844/ijol.2022.60336 · Cited by 8
Willetts, M., & Atkins, A. S. (2023) · Journal of Data Information and Management · doi:10.1007/s42488-023-00088-8 · Cited by 8
Guo, Q., & Yan, J. (2023) · KSII Transactions on Internet and Information Systems · doi:10.3837/tiis.2023.10.001 · Cited by 8
Social Media in Tourism and Hospitality
Zeng, B., & Gerritsen, R. (2023) · Cambridge University Press eBooks · doi:10.1017/9781107165250.011 · Cited by 8
Online Crowds Opinion-Mining it to Analyze Current Trend: A Review
Akkineni, H., Lakshmi, P. M., & Babu, B. V. (2015) · International Journal of Electrical and Computer Engineering (IJECE) · doi:10.11591/ijece.v5i5.pp1180-1187 · Cited by 8
Pereira‐Moliner, J., Villar-García, M., Molina-Azorín, J. F., Tarı́, J. J., López‐Gamero, M. D., & Pertusa‐Ortega, E. M. (2024) · Tourism Management Perspectives · doi:10.1016/j.tmp.2024.101243 · Cited by 7
Liu, X., Zhang, N., & Hao, X. (2024) · Information Technology and Management · doi:10.1007/s10799-024-00417-2 · Cited by 7
A Digital ‘Smiley’ Analysis of the Appreciation for Tourist Amenities by Visitors to London
Kourtit, K., Nijkamp, P. J., Östh, J., & Türk, U. (2025) · Applied Research in Quality of Life · doi:10.1007/s11482-025-10432-2 · Cited by 7
Vaerenbergh, Y. V., & Arijs, D. (2025) · Tourism Management · doi:10.1016/j.tourman.2025.105255 · Cited by 10
Data science for hospitality and tourism
Rita, P., Rita, N., & Oliveira, C. (2018) · Worldwide Hospitality and Tourism Themes · doi:10.1108/whatt-07-2018-0050 · Cited by 7
EGRESI, I. O., Puiu, V., ZOTIC, V., & Alexandru, D. (2019) · Acta Geobalcanica · doi:10.18509/agb.2020.01 · Cited by 9
Tourists Perception in Bali Using Social Media and Online Media Sentiment Analysis
Putra, R. S., Nurcahyo, R., & Gabriel, D. S. (2019) · IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS) · doi:10.1109/icetas48360.2019.9117317 · Cited by 7
LiDAR- and AR-Based Monitoring of Evolved Building Façades upon Zoning Conflicts
Shih, N., & Chen, Y. (2020) · Sensors · doi:10.3390/s20195628 · Cited by 7
Chang, Y.-Y., Wu, H., Cheng, C., & Chen, C.-T. (2021) · British Food Journal · doi:10.1108/bfj-04-2021-0444 · Cited by 8
(2023) · International Journal of Advanced Computer Research · doi:10.19101/ijacr.2021.1152071 · Cited by 9
Zhang, X., Yu, J., & Kim, H. (2024) · SAGE Open · doi:10.1177/21582440241255827 · Cited by 7
A Systematic Review of Big Data: Research Approaches and Future Prospects
Çobanoğlu, C., Terrah, A., Hsu, M.-J., Corte, V. D., & Gaudio, G. D. (2022) · Journal of Smart Tourism · doi:10.52255/smarttourism.2022.2.1.3 · Cited by 7
An Application of Text Mining to Capture and Analyze eWOM
Dirsehan, T. (2015) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/978-1-4666-9449-1.ch010 · Cited by 7
A Preliminary Analysis of Relationships Between Traveller Characteristics and Hotel Review Ratings
Wang, C., Xiang, Z., & Song, H. (2017) · Springer eBooks · doi:10.1007/978-3-319-51168-9_41 · Cited by 7
Self-citationPark, I., Shim, H., Kim, J. H., Lee, C., & Lee, D. (2020) · The Social Science Journal · doi:10.1080/03623319.2020.1768485 · Cited by 7
Kansei Engineering with Online Content Mining for Cross-Border Logistics Service Design
Hsiao, Y., & Chen, M. (2016) · IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) · doi:10.1109/iiai-aai.2016.12 · Cited by 7
Park, H., Park, E. H., da Costa, R. A., & Lee, M. (2024) · Journal of Hospitality & Tourism Research · doi:10.1177/10963480241275581 · Cited by 6
Luu, T. T. (2025) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2025.104156 · Cited by 8
An, Q., Ozturk, A. B., & Okumuş, F. (2025) · Journal Of Vacation Marketing · doi:10.1177/13567667251362485 · Cited by 6
The digital tourist: examining user experience in travel apps using machine learning approach
Manna, A., Chakraborty, D., Cheah, J., & Σιγάλα, Μ. (2025) · Tourism Recreation Research · doi:10.1080/02508281.2025.2545802 · Cited by 6
Digitalising cultural heritage through online reviews: a sentiment analysis
Zhang, A., & Xiao, H. (2025) · Current Issues in Tourism · doi:10.1080/13683500.2025.2566861 · Cited by 7
Digital strategy design and digital transformation: a review and future research directions
Christofi, M., Lamprinakos, G., Nguyen, D. K., & Tran, P. T. (2025) · International Marketing Review · doi:10.1108/imr-10-2025-0538 · Cited by 9
Çevrimiçi Müşteri Yorumları: Tripadvisor da Çorum Restoranları Üzerine İnceleme
Şahin, S. Z. (2021) · Turk Turizm Arastirmalari Dergisi · doi:10.26677/tr1010.2021.683 · Cited by 6
TURİZM ALANINDA ENDÜSTRİ 4.0 VE UYGULAMALARINI KONU ALAN MAKALELERİN BİBLİYOMETRİK ANALİZİ
Yılmaz, M., & Karamustafa, K. (2022) · Pamukkale University Journal of Social Sciences Institute · doi:10.30794/pausbed.1091405 · Cited by 6
Can the home experience in luxury hotels promote pro-environmental behavior among guests?
Liu, M., & Peng, X. (2023) · PLoS ONE · doi:10.1371/journal.pone.0284981 · Cited by 6
Alazaizeh, M. M. (2024) · Conservation and Management of Archaeological Sites · doi:10.1080/13505033.2024.2400626 · Cited by 6
Analyzing the concordance and consistency of AI and human ratings in hospitality reviews
Marrero, S. M., Henríquez, J. M. R., & Bilgihan, A. (2025) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-04-2024-0251 · Cited by 12
Big Data Analysis with Hadoop on Personalized Incentive Model with Statistical Hotel Customer Data
Lee, S., Hwang, E., Jo, J.-Y., & Kim, Y. (2016) · International Journal of Software Innovation · doi:10.4018/ijsi.2016070101 · Cited by 6
Son, J., Lee, H.-K., Choi, H.-Y., & Oh, O. (2022) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2022.565 · Cited by 6
Gu, T., Ren, C., Yin, L., Liao, Z., Li, W., Sun, F., & Wang, H. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/7611308 · Cited by 6
Krabokoukis, T. (2023) · Digital · doi:10.3390/digital3010006 · Cited by 6
What do online reviews communicate? An evidence from emerging economy
Ahmed, S., Singh, S., & Nagaraj, S. (2023) · International Journal of Emerging Markets · doi:10.1108/ijoem-06-2021-0892 · Cited by 8
Yu, J., Zhang, X., & Kim, H. (2023) · Sustainability · doi:10.3390/su151713049 · Cited by 6
Analysis of Customer Satisfaction Levels in Five-Star Hotels Based on Online Customer Reviews
Adiningtyas, H., & Millanyani, H. (2024) · International Conference on Software Engineering and Information Technology (ICoSEIT) · doi:10.1109/icoseit60086.2024.10497518 · Cited by 6
Sharma, S., & Saxena, P. (2024) · Abhigyan · doi:10.1177/09702385241233078 · Cited by 12
OpinionSeer: Text Visualization on Hotel Customer Reviews of Services and Physical Environment
Lee, A., Chong, K. L., & Chan, N. K.-W. (2018) · Lecture notes in electrical engineering · doi:10.1007/978-981-13-1056-0_35 · Cited by 6
Understanding the Determinants of Consumer Satisfaction With B&B Hotels
Xiao, L., Mi, C., Chen, Y., & Huang, L. (2019) · International Journal of Web Services Research · doi:10.4018/ijwsr.2019100102 · Cited by 6
The Effect of Customers’ Hotel Experience on Satisfaction: the mediating role of memorability
Çoban, Ö., & Yetiş, Ş. A. (2019) · Anais Brasileiros de Estudos Turísticos - ABET · doi:10.34019/2238-2925.2019.v9.27384 · Cited by 8
Exploring Customer Experience of Smart Hotel: A Text Big Data Mining Approach
Qi, H., & Mo, R. (2021) · E3S Web of Conferences · doi:10.1051/e3sconf/202125101034 · Cited by 6
Real-time Text Stream Processing: A Dynamic and Distributed NLP Pipeline
Saloot, M. A., & Pham, D. N. (2021) · International Symposium on Electrical, Electronics and Information Engineering (ISEEIE) · doi:10.1145/3459104.3459198 · Cited by 6
Becoming a Platform in Europe: On the Governance of the Collaborative Economy
Rossitto, C., Lampinen, A., Light, A., Diogo, V., & Bernát, A. (2021) · doi:10.1561/9781680838411 · Cited by 7
Intangible assets and business results of large companies
Carabel, T. C., Blanco‐González, A., & Peces, C. D. C. (2021) · Intangible Capital · doi:10.3926/ic.1390 · Cited by 6
Examining Antecedents on Chinese Customer Loyalty in the Boutique Hotel Business
Soonsan, N. (2021) · Journal of Quality Assurance in Hospitality & Tourism · doi:10.1080/1528008x.2021.1995565 · Cited by 6
Li, X., Xie, J., & Chen, S. X. (2022) · Current Issues in Tourism · doi:10.1080/13683500.2022.2106192 · Cited by 9
The Potential Contribution and Uses of Twitter by Tourism Businesses and Destinations
Sotiriadis, M. (2016) · Int. J. Online Mark. · doi:10.4018/ijom.2016040105 · Cited by 4
Are users’ ratings on Tripadvisor similar to hotel categories in Europe?
Martín-Fuentes, E., Mateu, C., & Fernández, C. C. (2018) · Cuadernos de Turismo · doi:10.6018/turismo.42.13 · Cited by 6
Exploring B2B Chatbots adoption experiences: Lessons for successful implementation in BusinessesPreprint
Kaushal, V., & Yadav, R. (2022) · Research Square · doi:10.21203/rs.3.rs-1776145/v1 · Cited by 6
Platform-enabled innovation adoption in the tourism sector: A case study on Booking.com
Mantovani, A., Piga, C. A., Reggiani, C., & Shevtsova, Y. (2024) · Tourism Management Perspectives · doi:10.1016/j.tmp.2024.101316 · Cited by 5
Ding, K., Li, R., Li, Z., & Hu, S. (2025) · Journal Of Big Data · doi:10.1186/s40537-025-01100-1 · Cited by 5
Cao, Z. L., Shi, G. J., Gao, M., & Yu, J. (2025) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer20010047 · Cited by 7
Designing a memorable dining experience lexicon based on theory and text mining
Vajpai, G. N., Webb, T., & Beldona, S. (2025) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2025.104245 · Cited by 5
Lin, K., Huang, Y., Huang, B., Wu, C., Wu, X., Wang, X., & Lin, Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-14107-8 · Cited by 5
Pandey, S., Pandey, N., & Chawla, D. (2023) · Journal of Consumer Marketing · doi:10.1108/jcm-10-2022-5654 · Cited by 5
Examining short-term rentals' influence on tourists' well-being using Airbnb reviews
Lupu, C., & Brochado, A. M. (2023) · Eastern Journal of European Studies · doi:10.47743/ejes-2023-si03 · Cited by 5
Türkmendağ, T., Erdem, B., & Akyürek, S. (2021) · Güncel Turizm Araştırmaları Dergisi · doi:10.32572/guntad.946281 · Cited by 5
Universiti Teknologi MARA Cawangan Pulau Pinang, M., & Lahap, J. (2022) · International Journal of Current Science Research and Review · doi:10.47191/ijcsrr/v5-i7-55 · Cited by 5
Performance Improvement in Budget Hotels Through Consumer Sentiment Analysis Using Text Mining
Mukherjee, D., Debnath, R., Chakraborty, S., Jena, L. K., & Hasan, K. K. (2023) · Contemporary studies in economic and financial analysis · doi:10.1108/s1569-37592023000110a004 · Cited by 5
Taherkhani, L., Daneshvar, A., Khalili, H. A., & Sanaei, M. R. (2023) · Advances in Civil Engineering · doi:10.1155/2023/6029121 · Cited by 5
Online Information Reviews to Boost Tourism in the B&B Industry to Reveal the Truth and Nexus
Wang, X., Chen, X., & Gu, Z. (2024) · Information · doi:10.3390/info15020103 · Cited by 5
La, L., Xu, F., Yun-meng, H. E., & Han, L. (2021) · 自然资源学报 · doi:10.31497/zrzyxb.20210702 · Cited by 5
When Design Goes Wrong? Diagnostic Tools for Detecting and Overcoming Failures in Service Experience
Dickinger, A., & Leung, D. (2016) · Tourism on the verge · doi:10.1007/978-3-319-42773-7_15 · Cited by 5
Mattera, M. (2018) · IEEE International Conference on Big Data Analysis (ICBDA) · doi:10.1109/icbda.2018.8367674 · Cited by 5
Otel Konuk Memnuniyetini Etkileyen Unsurlar
Bayram, M. (2018) · Seyahat ve Otel İşletmeciliği Dergisi · doi:10.24010/soid.358389 · Cited by 5
Análisis con big data de las respuestas de los hoteles en TripAdvisor
Gutiérrez, S. S.-M., Jiménez, N., & Domínguez, N. P. (2018) · ESIC MARKET Economic and Business Journal · doi:10.7200/esicm.160.0492.3e · Cited by 5
The Corporate Communication Executives’ Interactive Engagement Through Digital Media
Camilleri, M. A., & Isaias, P. T. (2021) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80071-264-520211004 · Cited by 5
(2017) · Global Journal of Management and Marketing · doi:10.47177/gjmm.01.02.2017.001 · Cited by 5
Metadata
- Authors
- Xiang, Z., Schwartz, Z., Gerdes, J. H., & Uysal, M.
- Affiliations
- Virginia Tech (US)
- University of Delaware (US)
- University of South Carolina (US)
- Corresponding author
- Xiang, Zheng
- Venue
- International Journal of Hospitality Management
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 44
- Pages
- 120-130
- ISSN
- 0278-4319 (ISSN-L)
- OpenAlex
- W1992777957
- Cited by
- 953
- References
- 64
- Citations by year
- 2026: 62 · 2025: 80 · 2024: 66 · 2023: 92 · 2022: 117 · 2021: 120 · 2020: 107 · 2019: 111 · 2018: 66 · 2017: 73 · 2016: 41 · 2015: 16
- FWCI
- 96.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Hospitality Management (publishedVersion)
- eSpace (Curtin University) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Tourism, Leisure and Hospitality Management › Diverse Aspects of Tourism Research
- Keywords
- hotel guest experience, guest satisfaction, big data analytics, text analysis, consumer reviews, Expedia, user-generated content, social media, semantic composition, hospitality
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review