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2019 | OriginalPaper | Chapter

2. Big Data Analytics in Smart Tourism Destinations. A New Tool for Destination Management Organizations?

Author : Tomáš Gajdošík

Published in: Smart Tourism as a Driver for Culture and Sustainability

Publisher: Springer International Publishing

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Abstract

In the last years, the amount of data and the possibilities of its analysis have risen rapidly. Leading retail businesses are able to work with complex sources of data, embrace intelligence tools and generate better outcomes. Tourism industry is becoming smarter; however, because of its fragmented nature and small size of tourism businesses, it lags behind the other industries. Today’s destination management organizations (DMOs) are struggling with several challenges and have difficulties in adapting to new market conditions. Within the smart tourism concept, the big data analytics is seemed to be a promising tool for overcoming the challenges. Therefore, the aim of the paper is to find out the possibilities of overcoming challenges of today’s DMOs based on the analysis of current state and best practices of big data analytics in tourism destinations. The analysis is based on multiple case studies, with the main focus on Central Europe. The paper presents a conceptual view on big data analytics and concludes that the application of big data analytics allows DMOs to better define destination boundaries, understand the needs of today’s tourists, effectively manage destination stakeholders and be more competitive and sustainable.

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Amadeus. (2017). Defining the future of travel through intelligence. Smart decisions for smart destinations using big data.

Babar, M., & Arif, F. (2017). Smart urban planning using big data analytics to contend with the interoperability in internet of things. Future Generation Computer Systems, 77, 65–76. https://doi.org/10.1016/J.FUTURE.2017.07.029.CrossRef

Baggio, R., & Scaglione, M. (2018). Strategic visitor flows and destination management organization. Information Technology and Tourism, 18(1–4), 29–42. https://doi.org/10.1007/s40558-017-0096-1.CrossRef

Beritelli, P., Bieger, T., & Laesser, C. (2007). Destination governance: Using corporate governance theories as a foundation for effective destination management. Journal of Travel Research, 46(1), 96–107. https://doi.org/10.1177/0047287507302385.CrossRef

Beritelli, P., Laesser, C., & Reinhold, S. (2018). Impulse für die Forschung zum Management und Marketing von Destinationen : Erkenntnisse aus sechs Jahren ADM Forum. Schweizer Jahrbuch Für Tourismus 2017/18 (January).

Bibri, S. E., & Krogstie, J. (2017). The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: A review and synthesis. Journal of Big Data, 4(1), 38. https://doi.org/10.1186/s40537-017-0091-6.CrossRef

Boes, K., Buhalis, D., & Inversini, A. (2016). Smart tourism destinations: Ecosystems for tourism destination competitiveness. International Journal of Tourism Cities, 2(2), 108–124. https://doi.org/10.1108/IJTC-12-2015-0032.CrossRef

Buhalis, A., & Amaranggana, A. (2015). Smart tourism destinations enhancing tourism experience through personalisation of services. In I. Tussyadiah & A. Inversini (Eds.), Information and Communication Technologies in Tourism 2015 (pp. 377–389). Cham: Springer International Publishing Switzerland. http://doi.org/10.1007/978-3-319-14343-9_28.

Buonincontri, P., & Micera, R. (2016). The experience co-creation in smart tourism destinations: A multiple case analysis of European destinations. Information Technology and Tourism, 16(3), 285–315. https://doi.org/10.1007/s40558-016-0060-5.CrossRef

Caragliu, A., Del Bo, C., & Nijkamp, P. (2011). Smart Cities in Europe. Journal of Urban Technology, 18(2), 65–82. https://doi.org/10.1080/10630732.2011.601117.CrossRef

Cousin, S., Chareyron, G., & Jacquot, S. (2017). Big data and tourism. In L. Lowry (Ed.), The SAGE international encyclopedia of travel and tourism (pp. 151–155). Thousand Oaks: SAGE Publications.

Del Chiappa, G., & Baggio, R. (2015). Knowledge transfer in smart tourism destinations: Analyzing the effects of a network structure. Journal of Destination Marketing and Management, 4(3), 143–144. https://doi.org/10.1016/j.ipm.2017.10.006.CrossRef

Fuchs, M., Höpken, W., & Lexhagen, M. (2014). Big data analytics for knowledge generation in tourism destinations – A case from Sweden. Journal of Destination Marketing & Management, 3(4), 198–209. https://doi.org/10.1016/J.JDMM.2014.08.002.CrossRef

Furht, B., & Villanustre, F. (2016). Introduction to big data. In Big Data Technologies and Applications (pp. 3–11). Cham: Springer International Publishing. http://doi.org/10.1007/978-3-319-44550-2_1.CrossRef

Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137–144. https://doi.org/10.1016/J.IJINFOMGT.2014.10.007.CrossRef

Gani, A., Siddiqa, A., Shamshirband, S., & Hanum, F. (2016). A survey on indexing techniques for big data: Taxonomy and performance evaluation. Knowledge and Information Systems, 46(2), 241–284. https://doi.org/10.1007/s10115-015-0830-y.CrossRef

Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler-Milanovic, N., & Meijers, E. (2007). Smart cities. Vienna: Ranking of European medium-sized cities.

Gretzel, U. (2011). Intelligent systems in tourism: A social science perspective. Annals of Tourism Research, 38(3), 757–779. https://doi.org/10.1016/J.ANNALS.2011.04.014.CrossRef

Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015a). Smart tourism: Foundations and developments. Electronic Markets, 25(3), 179–188. https://doi.org/10.1007/s12525-015-0196-8.CrossRef

Gretzel, U., Werthner, H., Koo, C., & Lamsfus, C. (2015b). Conceptual foundations for understanding smart tourism ecosystems. Computers in Human Behavior, 50, 558–563. https://doi.org/10.1016/j.chb.2015.03.043.CrossRef

Hashem, I. A., Chang, V., Anuar, N., Adewole, K., Yaqoob, I., Gani, A., et al. (2016). The role of big data in smart city. International Journal of Information Management, 36(5), 748–758. https://doi.org/10.1016/J.IJINFOMGT.2016.05.002.CrossRef

Huang, C. D., Goo, J., Nam, K., & Yoo, C. W. (2017). Smart tourism technologies in travel planning: The role of exploration and exploitation. Information & Management, 54(6), 757–770. https://doi.org/10.1016/j.im.2016.11.010.CrossRef

Ivars-Baidal, J. A., Celdrán-Bernabeu, M. A., Mazón, J. N., & Perles-Ivars, Á. F. (2017). Smart destinations and the evolution of ICTs: A new scenario for destination management? Current Issues in Tourism, 3500(October), 1–20. https://doi.org/10.1080/13683500.2017.1388771.CrossRef

Miah, S. J., Vu, H. Q., Gammack, J., & McGrath, M. (2017). A big data analytics method for tourist behaviour analysis. Information & Management, 54(6), 771–785. https://doi.org/10.1016/j.im.2016.11.011.CrossRef

Neuhofer, B., Buhalis, D., & Ladkin, A. (2012). Conceptualising technology enhanced destination experiences. Journal of Destination Marketing and Management, 1(1–2), 36–46. https://doi.org/10.1016/j.jdmm.2012.08.001.CrossRef

Oussous, A., Benjelloun, F. Z., Ait Lahcen, A., & Belfkih, S. (2017). Big data technologies: A survey. Journal of King Saud University—Computer and Information Sciences. http://doi.org/10.1016/j.jksuci.2017.06.001.CrossRef

Pramanik, M. I., Lau, R., Demirkan, H., & Azad, A. K. (2017). Smart health: Big data enabled health paradigm within smart cities. Expert Systems with Applications, 87, 370–383. https://doi.org/10.1016/J.ESWA.2017.06.027.CrossRef

Reinhold, S., Beritelli, P., & Grünig, R. (2018). A business model typology for destination management organizations. Tourism Review, TR–03–2017–0065. http://doi.org/10.1108/TR-03-2017-0065.

Schegg, R. (2017). Smart destinations, challenges for a new management paradigm (October).

Song, H., & Liu, H. (2017). Predicting tourist demand using big data. In Z. Xiang & D. Fesenmaier (Eds.), Analytics in Smart Tourism Design, Tourism on the Verge (pp. 13–29). Cham: Springer International Publishing Switzerland. http://doi.org/10.1007/978-3-319-44263-1_2.

Vecchio, P. Del, Mele, G., Ndou, V., & Secundo, G. (2017). Creating value from Social Big Data: Implications for Smart Tourism Destinations. Information Processing and Management, (October), 1–14. http://doi.org/10.1016/j.ipm.2017.10.006.CrossRef

Xia, Y., Zhang, L., & Liu, Y. (2016). Special issue on big data driven Intelligent Transportation Systems. Neurocomputing, 181, 1–3. https://doi.org/10.1016/J.NEUCOM.2015.10.121.CrossRef

Xiang, Z., & Fesenmaier, D. (2017a). Analytics in tourism design. In Z. Xiang & D. Fesenmaier (Eds.), Analytics in Smart Tourism Design, Tourism on the Verge (pp. 1–10). Cham: Springer International Publishing Switzerland. http://doi.org/10.1007/978-3-319-44263-1_1.

Xiang, Z., & Fesenmaier, D. R. (2017b). Big Data Analytics, Tourism Design and Smart Tourism. In D. R. Xiang, Zheng, Fesenmaier (Ed.), Analytics in Smart Tourism Design, Concepts and Methods (pp. 299–307). Cham: Springer International Publishing Switzerland. http://doi.org/10.1007/978-3-319-44263-1.

Title: Big Data Analytics in Smart Tourism Destinations. A New Tool for Destination Management Organizations?
Author: Tomáš Gajdošík
Publisher: Springer International Publishing
Book: Smart Tourism as a Driver for Culture and Sustainability
Print ISBN: 978-3-030-03909-7

Electronic ISBN: 978-3-030-03910-3

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-03910-3_2

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