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?
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“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]
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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
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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
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“Insight generated through a strong BDAC can enable more precise needs identification through sentiment sensing and social media monitoring for instance [46,76], allow for a better understanding of consumer behavior, interactions, and experiences with a product or service [77,78], facilitate more detailed and real-time…”
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Aluri, A., Price, B. S., & McIntyre, N. H. (2018) · Journal of Hospitality & Tourism Research · doi:10.1177/1096348017753521 · Cited by 119
Line, N. D., Doğru, T., El-Manstrly, D. A., Buoye, A. J., Malthouse, E. C., & Kandampully, J. A. (2020) · Tourism Management · doi:10.1016/j.tourman.2020.104106 · Cited by 115
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
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