Abstract
The recent development and use of information technologies in tourism lead to innovations that have revolutionised and automated almost every phase of tourist journey. In order to respond to these changes, the smart tourism concept emerged, providing real-time solutions, advanced analytics and enhancing tourist experience. The volume of created data and the need of real-time interactions and results challenge the tourism sector and open the door for the use of artificial intelligence (AI). However, there has been a lack of academic research on AI and its connection to smart tourism development so far. Therefore, the aim of the paper is to review artificial intelligence tools used in tourism and to identify its role in smart tourism development. The article focuses on best practice examples and case studies that examine the use of AI phenomena in tourism.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
van Doorn, J., Mende, M., Noble, S.M., Hulland, J., Ostrom, A.L., Grewal, D., Petersen, J.A.: Domo arigato Mr. Roboto: emergence of automated social presence in organizational frontlines and customers’ service experiences. J. Serv. Res. 20(1), 43–58 (2017). https://doi.org/10.1177/1094670516679272
Tussyadiah, I., Miller, G.: Perceived impacts of artificial intelligence and responses to positive behaviour change intervention. In: Pesonen, J., Neidhardt, J. (eds.) Information and Communication Technologies in Tourism 2019, pp. 359–370. Springer, Cham (2019). http://doi.org/10.1007/978-3-030-05940-8_28
Washburn, D., Sindhu, U., Balaouras, S., Dines, R.A., Hayes, N.M., Nelson, L.E.: Helping CIOs understand “smart city” initiatives: defining the smart city, its drivers, and the role of the CIO, Cambridge (2010)
Aina, Y.A.: Achieving smart sustainable cities with GeoICT support: The Saudi evolving smart cities. Cities 71(2016), 49–58 (2017). https://doi.org/10.1016/j.cities.2017.07.007
Janković, S., Krivačić, D.: Environmental accounting as perspective for hotel sustainability: literature review. Tour. Hosp. Manag. 20(1), 103–120 (2014)
Benckendorff, P., Sheldon, P., Fesenmaier, D.: Tourism Information Technology. CABI International, Oxfordshire (2014)
Buhalis, D.: eTourism: Information Technology for Strategic Tourism Management. Pearson Education Limited, Edinburgh (2003)
Xiang, Z., Tussyadiah, I., Buhalis, D.: Smart destinations: foundations, analytics, and applications. J. Destin. Mark. Manag. 4(3), 143–144 (2015). https://doi.org/10.1016/j.jdmm.2015.07.001
Buhalis, A., Amaranggana, A.: Smart tourism destinations enhancing tourism experience through personalisation of services. In: Tussyadiah, I., Inversini, A. (eds.) Information and Communication Technologies in Tourism 2015, pp. 377–389. Springer, Cham (2015). http://doi.org/10.1007/978-3-319-14343-9_28
Adiki, S.: Impact of big data and artificial intelligence on economy. In: Mulay, A. (ed.) Economic Renaissance in the Age of Artificial Intelligence. Business Expert Press, New York (2019)
Torra, V., Karlsson, A., Steinhauer, H.J., Berglund, S.: Artificial intelligence, pp. 9–26. Springer, Cham (2019). http://doi.org/10.1007/978-3-319-97556-6_2
Oussous, A., Benjelloun, F.Z., Ait Lahcen, A., Belfkih, S.: Big data technologies: a survey. J. King Saud Univ. Comput. Inf. Sc. (2017) http://doi.org/10.1016/j.jksuci.2017.06.001
Bibri, S.E., Krogstie, J.: The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis. J. Big Data 4(1), 38 (2017). https://doi.org/10.1186/s40537-017-0091-6
McKinsey Global Institute: Notes from the AI frontier: insights from hundreds of use cases (2018)
Navío-Marco, J., Ruiz-Gómez, L.M., Sevilla-Sevilla, C.: Progress in information technology and tourism management: 30 years on and 20 years after the internet - Revisiting Buhalis & Law’s landmark study about eTourism. Tour. Manag. 69(May), 460–470 (2018). https://doi.org/10.1016/j.tourman.2018.06.002
Neuhofer, B., Buhalis, D., Ladkin, A.: A typology of technology-enhanced tourism experiences. Int. J. Tour. Res. 16(4), 340–350 (2014). https://doi.org/10.1002/jtr.1958
Hatami, H., Soleimani, B., Ziafat, H.: Recommendation systems based on association rule mining for a target object by evolutionary algorithms. Emerg. Sci. J. 2(2), 100–107 (2018)
https://www.tripadvisor.com/engineering/using-nlp-to-find-interesting-collections-of-hotels/
Alaei, A.R., Becken, S., Stantic, B.: Sentiment analysis in tourism: capitalizing on big data. J. Travel Res. (2017). http://doi.org/10.1177/0047287517747753
Gretzel, U., Sigala, M., Xiang, Z., Koo, C.: Smart tourism: foundations and developments. Electron. Markets (2015). https://doi.org/10.1007/s12525-015-0196-8
Alexis, P.: R-Tourism: introducing the potential impact of robotics and service automation in tourism. Econ. Sci. Ser. 17(1), 211–216 (2017)
Berger, H., Dittenbach, M., Merkl, D.: Activation on the move: querying tourism information via spreading activation. LNCS, vol. 2736 (2003)
Ninaus, G.: Using group recommendation heuristics for the prioritization of requirements. In: Proceedings of the Sixth ACM Conference on Recommender Systems - RecSys 2012 (2012). https://doi.org/10.1145/2365952.2366034
Sigala, M.: New technologies in tourism: from multi-disciplinary to anti-disciplinary advances and trajectories. Tour. Manag. Perspect. 25, 151–155 (2018). https://doi.org/10.1016/j.tmp.2017.12.003
Acknowledgments
The research was supported by the research project VEGA 1/0809/17 Reengineering of destination management organizations and good destination governance conformed to principles of sustainable development.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Gajdošík, T., Marciš, M. (2019). Artificial Intelligence Tools for Smart Tourism Development. In: Silhavy, R. (eds) Artificial Intelligence Methods in Intelligent Algorithms. CSOC 2019. Advances in Intelligent Systems and Computing, vol 985. Springer, Cham. https://doi.org/10.1007/978-3-030-19810-7_39
Download citation
DOI: https://doi.org/10.1007/978-3-030-19810-7_39
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-19809-1
Online ISBN: 978-3-030-19810-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)