{"title":"Why Tourists Don’t Visit Again?","authors":"Long-Sheng Chen, Shu-Cih Tseng, G. Chakraborty","doi":"10.1109/ICAWST.2018.8517200","DOIUrl":null,"url":null,"abstract":"The population of tourists has grown rapidly with the development of social media. The rise of social media has changed the behaviors that passengers visit sightseeing spots. Online consumer reviews could be considered as the main channel for providing valuable information to consumers. Revisit intention could directly influence the future behavior of customers. It’s also one of the crucial factors that enhance the income growth of tourism. However, relatively few researchers focused on why passengers don’t revisit directly. Therefore, this study will focus on the topic that why passengers didn’t revisit again. We’ll use textual reviews of social media instead of questionnaire survey. And text mining and feature selection (Least Absolute Shrinkage and Selection Operator, LASSO) methods have been employed to identify the factors that affect passenger non-revisit intention. From the results, this study will provide some suggestions for the tourism industry to improve their service quality and increase their revisit intentions.","PeriodicalId":277939,"journal":{"name":"2018 9th International Conference on Awareness Science and Technology (iCAST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 9th International Conference on Awareness Science and Technology (iCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAWST.2018.8517200","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
The population of tourists has grown rapidly with the development of social media. The rise of social media has changed the behaviors that passengers visit sightseeing spots. Online consumer reviews could be considered as the main channel for providing valuable information to consumers. Revisit intention could directly influence the future behavior of customers. It’s also one of the crucial factors that enhance the income growth of tourism. However, relatively few researchers focused on why passengers don’t revisit directly. Therefore, this study will focus on the topic that why passengers didn’t revisit again. We’ll use textual reviews of social media instead of questionnaire survey. And text mining and feature selection (Least Absolute Shrinkage and Selection Operator, LASSO) methods have been employed to identify the factors that affect passenger non-revisit intention. From the results, this study will provide some suggestions for the tourism industry to improve their service quality and increase their revisit intentions.