Factors Affecting Tourists' Decisions to Travel to Middle Europe Countries and Scandinavian Countries During COVID-19 Pandemic: A Case Study of Thai Tourists Who Living in Bangkok and Metropolitan Areas

Abstract

The purposes of this research are; to study the perception factors of measure to prevent of COVID-19 for arrival the Kingdom of Thailand, these are affected for making decision to travel middle Europe countries and Scandinavia counties during the coronavirus disease 2019(COVID-19) and to study the differences of demographics are affected for making decision to travel middle Europe countries and Scandinavia countries whom live in Bangkok and metropolitan provinces during the coronavirus disease 2019 (COVID-19). The sample group are 400 Thai tourists living in Bangkok and metropolitan areas who’s ever travel abroad. The research instruments are Online Questionnaires which it had Cronbach’s Alpha of 0.77 then tested by descriptive analysis; consist of mean, percentage, standard deviation and inferential analysis; consist of T-Test for comparing between 2 groups, F-test and One-way Anova. The research results showed; 1) The data of demographics samples; mostly they are women for 289 samples or 65.40 percentage, their aged is between 26 – 45 years old for 185 samples or 41.90 percentage, they are single for 212 samples or 48.0 percentage, the level of educations is bachelor degree for 203 samples or 45.90 percentage and the level of monthly income is more than 50,000 Thai Baht for 177 samples or 40.00 percentage. 2) The perception factors of measure to prevent of COVID-19 for arrival the Kingdom of Thailand are; the expenses of Test & Go, RT-PCR service fee and register for Thailand Pass, these factors are not reduced their decision to travel abroad and 3) the differences of demographics are not affected for making difference decision to travel middle Europe countries and Scandinavia counties during the coronavirus disease 2019 (COVID-19) for Thai tourists whom lives in Bangkok and metropolitan provinces at no statistical significance of 0.05.