2021
Using Google Trends in International Tourism: A Case Study of the Czech and Slovak Republics
KAJZAR, Patrik, Radim DOLÁK a Radmila KRKOŠKOVÁZákladní údaje
Originální název
Using Google Trends in International Tourism: A Case Study of the Czech and Slovak Republics
Autoři
KAJZAR, Patrik (203 Česká republika, garant, domácí), Radim DOLÁK (203 Česká republika, domácí) a Radmila KRKOŠKOVÁ (203 Česká republika, domácí)
Vydání
Academica Turistica - Tourism and Innovation Journal, 2021, 2335-4194
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
50901 Other social sciences
Stát vydavatele
Slovinsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Kód RIV
RIV/47813059:19520/21:A0000274
Organizační jednotka
Obchodně podnikatelská fakulta v Karviné
Klíčová slova anglicky
Google Trends; tourism;Czech; Slovak; seaside resorts
Změněno: 3. 5. 2022 16:47, Ing. Patrik Kajzar, Ph.D.
Anotace
V originále
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 Slo- vak 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 Decem- ber 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. Des- tination 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 statis- tics.