The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Smart tourism: State of the art and literature review for the last six years
Open accessAbstract
In the modern era, the tourism sector has grown to be one of the dominant sectors globally while technology continues to evolve. These facts have given birth to the “Smart Tourism” concept which can be characterized as a progression from traditional tourism. In order to realize an actual Smart Tourism experience, the proper services need to be delivered to the right user at the right time with the best possible way. During the last six years, there has been a significant amount of research in the Smart Tourism field which, to the best of our knowledge, have not yet been presented in a thorough literature review. In this paper, after carefully reviewing a wide number of papers, we have managed to identify the most commonly used approaches and basic concepts in the Smart Tourism sector and present them in detail along with the papers that focus on them. In this study, “key concepts” include: Privacy Preserving, Context Awareness, Cultural Heritage, Recommender Systems, Social Media, Internet of Things, User Experience, Real Time, User Modeling, Augmented Reality and Big Data. At the same time, major Smart Tourism challenges are presented so as to lay the foundations for future researches in the field.
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Citations
Cites
Smart tourism: foundations and developments
Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015) · Electronic Markets · doi:10.1007/s12525-015-0196-8 · Cited by 2,589
Enabling the Internet of Things
Want, R., Schilit, B. N., & Jenson, S. (2015) · Computer · doi:10.1109/mc.2015.12 · Cited by 444
China's “smart tourism destination” initiative: A taste of the service-dominant logic
Wang, D., Li, X. (., & Li, Y. (2013) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2013.05.004 · Cited by 352
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
Analyzing the past to prepare for the future
(2002) · MIS Quarterly · doi:10.5555/2017160.2017162 · Cited by 179
Not, E., & Petrelli, D. (2018) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2018.01.001 · Cited by 66
Cited by
Hamid, R. A., Albahri, A. S., Alwan, J. K., Al-qaysi, Z. T., Albahri, O. S., Zaidan, A. A., Alnoor, A., Alamoodi, A. H., & Zaidan, B. B. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2020.100337 · Cited by 273
Metadata
- Authors
- Kontogianni, A., & Alepis, E.
- Venue
- Array
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 6
- Pages
- 100020
- ISSN
- 2590-0056 (ISSN-L)
- OpenAlex
- W3005629627
- Cited by
- 256
- References
- 6
- FWCI
- 52.22
- Type
- journal article
- Language
- en
- Open access
- gold
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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.