{"title":"Google Trends : Multilevel Propagation Domino Effect on Travel Industry during the Covid-19","authors":"Kyung-Yeo Koo, Tae-Hong Ahn","doi":"10.35498/kotes.2023.se5.117","DOIUrl":null,"url":null,"abstract":"Although there are social and cultural values and the economic value in the tourism industry, unexpected risk factors adversely affect the industrial site. This direct and indirect risk situation in the surrounding environment of the tourism industry continues to amplify negative situations in the economic system. Against this backdrop, this study aims to discover the domino effect of the tourism industry using a search engine built during the Covid-19 pandemic from March to June 2020. To this end, the focus is on using Google Trends and Google Search Engine. The results of this study provided regional and national panel data models around the world through two different Google search engines confirmed interest in the Domino Tourism Industry (travel, hotel, flight), and identified the Multilevel Propagation process and overlapping domino amplification of the pandemic tourism industry. The idea of preparing rapid policy measures in the wake of continuous continuous disasters from direct and indirect small and medium-sized tourism industries to manufacturing-related workers was provided through this.","PeriodicalId":497661,"journal":{"name":"관광진흥연구","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"관광진흥연구","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35498/kotes.2023.se5.117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Although there are social and cultural values and the economic value in the tourism industry, unexpected risk factors adversely affect the industrial site. This direct and indirect risk situation in the surrounding environment of the tourism industry continues to amplify negative situations in the economic system. Against this backdrop, this study aims to discover the domino effect of the tourism industry using a search engine built during the Covid-19 pandemic from March to June 2020. To this end, the focus is on using Google Trends and Google Search Engine. The results of this study provided regional and national panel data models around the world through two different Google search engines confirmed interest in the Domino Tourism Industry (travel, hotel, flight), and identified the Multilevel Propagation process and overlapping domino amplification of the pandemic tourism industry. The idea of preparing rapid policy measures in the wake of continuous continuous disasters from direct and indirect small and medium-sized tourism industries to manufacturing-related workers was provided through this.