The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Big data in tourism research: A literature review
Abstract
Abstract Even at an early stage, diverse big data have been applied to tourism research and made an amazing improvement. This paper might be the first attempt to present a comprehensive literature review on different types of big data in tourism research. By data sources, the tourism-related big data fall into three primary categories: UGC data (generated by users), including online textual data and online photo data; device data (by devices), including GPS data, mobile roaming data, Bluetooth data, etc.; transaction data (by operations), including web search data, webpage visiting data, online booking data, etc. Carrying different information, different data types address different tourism issues. For each type, a systematical analysis is conducted from the perspectives of research focuses, data characteristics, analytic techniques, major challenges and further directions. This survey facilitates a thorough understanding of this sunrise research and offers valuable insights into its future prospects.
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Cites
Beyond the hype: Big data concepts, methods, and analytics
Gandomi, A., & Haider, M. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.10.007 · Cited by 4,226
What can big data and text analytics tell us about hotel guest experience and satisfaction?
Xiang, Z., Schwartz, Z., Gerdes, J. H., & Uysal, M. (2015) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2014.10.013 · Cited by 953
A Big Data Analytics Method for Tourist Behaviour Analysis
Miah, S. J., Vu, H. Q., Gammack, J., & McGrath, M. (2017) · Information & Management · doi:10.1016/j.im.2016.11.011 · Cited by 393
Tourism analytics with massive user-generated content: a case study of Barcelona
Marine-Roig, E., & Anton Clavé, S. (2015) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2015.06.004 · Cited by 356
Big data analytics for knowledge generation in tourism destinations – A case from Sweden
Fuchs, M., Höpken, W., & Lexhagen, M. (2014) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2014.08.002 · Cited by 308
Travel route recommendation using geotagged photos
Kurashima, T., Iwata, T., Irie, G., & Fujimura, K. (2013) · Knowledge and Information Systems · doi:10.1007/s10115-012-0580-z · Cited by 108
Tweet-mapping Method for Tourist Spots Based on Now-Tweets and Spot-photos
Oku, K., Hattori, F., & Kawagoe, K. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.08.202 · Cited by 17
Cited by
Applications of big data in emerging management disciplines: A literature review using text mining
Kushwaha, A. K., Kar, A. K., & Dwivedi, Y. K. (2021) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2021.100017 · Cited by 255
Influencing models and determinants in big data analytics research: A bibliometric analysis
Aboelmaged, M., & Mouakket, S. (2020) · Information Processing & Management · doi:10.1016/j.ipm.2020.102234 · Cited by 53
Metadata
- Authors
- Li, J., Xu, L., Tang, L., Wang, S., & Li, L.
- Venue
- Tourism Management
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 68
- Pages
- 301-323
- ISSN
- 0261-5177 (ISSN-L)
- OpenAlex
- W2798990976
- Cited by
- 1,068
- References
- 7
- FWCI
- 208.45
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, J., Xu, L., Tang, L., Wang, S., & Li, L. (2018). Big data in tourism research: A literature review. Tourism Management. https://doi.org/10.1016/j.tourman.2018.03.009
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
