Why Tourists Don’t Visit Again?

Long-Sheng Chen, Shu-Cih Tseng, G. Chakraborty
{"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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
为什么游客不再来?
随着社交媒体的发展,游客人数迅速增长。社交媒体的兴起改变了游客游览景点的行为。在线消费者评论可以被认为是向消费者提供有价值信息的主要渠道。重访意向会直接影响顾客的未来行为。这也是促进旅游业收入增长的关键因素之一。然而,相对较少的研究人员关注乘客为什么不直接重新访问。因此,本研究将关注的主题是,为什么乘客没有再次访问。我们将使用社交媒体的文本评论而不是问卷调查。采用文本挖掘和特征选择(最小绝对收缩和选择算子,LASSO)方法来识别影响乘客不重访意愿的因素。根据研究结果,本研究将提供旅游业者改善服务品质、增加重游意愿的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The Assistance for Drug Dispensing Using LED Notification and IR Sensor-based Monitoring Methods Exploring a Topical Representation of Documents for Recommendation Systems Why Tourists Don’t Visit Again? Pre-accident Situation Analysis Based on Locally of Motion Estimation of Influence of Each Variable on User’s Evaluation in Interactive Evolutionary Computation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1