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Using Google Trends in International Tourism: A Case Study of the Czech and Slovak Republics

Author

Listed:
  • Patrik Kajzar

    (Silesian University in Opava, Czech Republic)

  • Radim Dolák

    (Silesian University in Opava, Czech Republic)

  • Radmila Krkošková

    (Silesian University in Opava, Czech Republic)

Abstract

This paper deals with using Google Trends in International Tourism. The attention will be focused on analysing the behaviour of Czech and Slovak tourists travelling to seaside resorts between the years 2010–2019. This paper aims to determine whether there is a connection between the data from the official statistics where Czech and Slovak tourists went and what they were searching on Google Search. The authors also compare the Google Trends analysis with the statistical data for Czech and Slovak tourists travelling to seaside resorts. The paper uses the data from 2010 related to the popularity of Czech and Slovak destinations; the data from 2019 to December is not available yet. This paper will also provide detailed statistical reports using the Spearman’s rank correlation coefficient. It is very important to mention that this article focuses only on the Google Trends analysis for the travelling category. Destination selection is a complex process that is influenced by many factors. Google Trends is a useful tool for a prediction about travelling to seaside resorts, but that does not always accurately reflect the popularity of a destination compared to statistics

Suggested Citation

  • Patrik Kajzar & Radim Dolák & Radmila Krkošková, 2021. "Using Google Trends in International Tourism: A Case Study of the Czech and Slovak Republics," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 14(2), pages 205-216.
    • Handle: RePEc:prp:jattij:v:14:y:2021:i:2:p:205-216
    DOI: 10.26493/2335-4194.14.205-216
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    References listed on IDEAS

    as
    1. Havranek, Tomas & Zeynalov, Ayaz, 2018. "Forecasting Tourist Arrivals with Google Trends and Mixed Frequency Data," EconStor Preprints 187420, ZBW - Leibniz Information Centre for Economics.
    2. Tomas Havranek & Ayaz Zeynalov, 2021. "Forecasting tourist arrivals: Google Trends meets mixed-frequency data," Tourism Economics, , vol. 27(1), pages 129-148, February.
    3. repec:srs:journl:jemt:v:9:y:2018:i:6:p:1351-1360 is not listed on IDEAS
    4. Armenia Androniceanu, 2017. "The Three-Dimensional Approach of Total Quality Management, an Essential Strategic Option for Business Excellence," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 19(44), pages 1-61, February.
    5. Ladislav MURA & Patrik KAJZAR, 2018. "Entrepreneurship in Tourism Sector in Central European Country Hospitality Trends in the Czech Republic in 2007 2016," Journal of Advanced Research in Management, ASERS Publishing, vol. 9(6), pages 1351-1360.
    6. Andreas Papatheodorou (ed.), 2006. "Managing Tourism Destinations," Books, Edward Elgar Publishing, number 3565.
    Full references (including those not matched with items on IDEAS)

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