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

  • Tomáš GajdošíkEmail author
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)


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.


Big data Governance Management Tourism destination Smart tourism 

JEL Classification

C55 C80 L83 



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.


  1. Amadeus. (2017). Defining the future of travel through intelligence. Smart decisions for smart destinations using big data.Google Scholar
  2. 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. Scholar
  3. Baggio, R., & Scaglione, M. (2018). Strategic visitor flows and destination management organization. Information Technology and Tourism, 18(1–4), 29–42. Scholar
  4. 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. Scholar
  5. 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).Google Scholar
  6. 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. Scholar
  7. Boes, K., Buhalis, D., & Inversini, A. (2016). Smart tourism destinations: Ecosystems for tourism destination competitiveness. International Journal of Tourism Cities, 2(2), 108–124. Scholar
  8. 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. Scholar
  9. 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. Scholar
  10. Caragliu, A., Del Bo, C., & Nijkamp, P. (2011). Smart Cities in Europe. Journal of Urban Technology, 18(2), 65–82. Scholar
  11. 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.Google Scholar
  12. 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. Scholar
  13. 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. Scholar
  14. Furht, B., & Villanustre, F. (2016). Introduction to big data. In Big Data Technologies and Applications (pp. 3–11). Cham: Springer International Publishing. Scholar
  15. Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137–144. Scholar
  16. 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. Scholar
  17. Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler-Milanovic, N., & Meijers, E. (2007). Smart cities. Vienna: Ranking of European medium-sized cities.Google Scholar
  18. Gretzel, U. (2011). Intelligent systems in tourism: A social science perspective. Annals of Tourism Research, 38(3), 757–779. Scholar
  19. Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015a). Smart tourism: Foundations and developments. Electronic Markets, 25(3), 179–188. Scholar
  20. Gretzel, U., Werthner, H., Koo, C., & Lamsfus, C. (2015b). Conceptual foundations for understanding smart tourism ecosystems. Computers in Human Behavior, 50, 558–563. Scholar
  21. 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. Scholar
  22. 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. Scholar
  23. 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. Scholar
  24. 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. Scholar
  25. Neuhofer, B., Buhalis, D., & Ladkin, A. (2012). Conceptualising technology enhanced destination experiences. Journal of Destination Marketing and Management, 1(1–2), 36–46. Scholar
  26. 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. Scholar
  27. 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. Scholar
  28. Reinhold, S., Beritelli, P., & Grünig, R. (2018). A business model typology for destination management organizations. Tourism Review, TR–03–2017–0065.
  29. Schegg, R. (2017). Smart destinations, challenges for a new management paradigm (October).Google Scholar
  30. 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. Scholar
  31. 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. Scholar
  32. Xia, Y., Zhang, L., & Liu, Y. (2016). Special issue on big data driven Intelligent Transportation Systems. Neurocomputing, 181, 1–3. Scholar
  33. 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. Scholar
  34. 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. Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of EconomicsMatej Bel UniversityBanská BystricaSlovakia

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