Big Data for Customer Experience in Hospitality & Tourism Sector: A Review

Monalisha Dash, Jyoti, K. Kaswan, Onkar Nath Mehra
{"title":"Big Data for Customer Experience in Hospitality & Tourism Sector: A Review","authors":"Monalisha Dash, Jyoti, K. Kaswan, Onkar Nath Mehra","doi":"10.1109/ICDT57929.2023.10151102","DOIUrl":null,"url":null,"abstract":"Big data, particularly online reviews, has a major impact on customer experience. User-generated content (UGC) on social media sites significantly influences customer choice and enhances service providers' brand equity, revenue, and service innovations. The main objective of this study is to broaden the body of knowledge by analyzing research that have examined the impact of large data made accessible through UGC that helps to determine how the hospitality and tourism sectors should act in order to meet the expectations of their clients. All available research papers have been critically analyzed for future research. The finding of this paper is based on systematically reviewing 22 recent high-quality research papers using the keyword search method. The study begins by evaluating the importance of using big data and online reviews to meet consumer expectations through service, which serves to shape the hotel industry's decision-making process in relation to visitor happiness. Secondly, it also identifies the area for future research. The results indicate that the primary three components that influencing overall hospitality & tourism customer experience & satisfaction are service, room, and value evaluations. While negative emotions and the brand type have a detrimental impact on how satisfied guests are.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Disruptive Technologies (ICDT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDT57929.2023.10151102","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

Big data, particularly online reviews, has a major impact on customer experience. User-generated content (UGC) on social media sites significantly influences customer choice and enhances service providers' brand equity, revenue, and service innovations. The main objective of this study is to broaden the body of knowledge by analyzing research that have examined the impact of large data made accessible through UGC that helps to determine how the hospitality and tourism sectors should act in order to meet the expectations of their clients. All available research papers have been critically analyzed for future research. The finding of this paper is based on systematically reviewing 22 recent high-quality research papers using the keyword search method. The study begins by evaluating the importance of using big data and online reviews to meet consumer expectations through service, which serves to shape the hotel industry's decision-making process in relation to visitor happiness. Secondly, it also identifies the area for future research. The results indicate that the primary three components that influencing overall hospitality & tourism customer experience & satisfaction are service, room, and value evaluations. While negative emotions and the brand type have a detrimental impact on how satisfied guests are.
酒店和旅游行业客户体验的大数据:综述
大数据,尤其是在线评论,对客户体验有重大影响。社交媒体网站上的用户生成内容(UGC)显著影响客户选择,并增强服务提供商的品牌资产、收入和服务创新。本研究的主要目的是通过分析调查UGC提供的大数据影响的研究来扩大知识体系,这些研究有助于确定酒店和旅游部门应如何采取行动,以满足客户的期望。所有可用的研究论文已被批判性地分析,以供未来的研究。本文的发现是基于对22篇近期高质量研究论文的系统回顾,并采用关键词检索方法。该研究首先评估了利用大数据和在线评论通过服务满足消费者期望的重要性,这有助于塑造酒店业与游客幸福感相关的决策过程。其次,它也确定了未来研究的领域。结果表明,影响整体酒店和旅游客户体验和满意度的三个主要组成部分是服务、房间和价值评估。而负面情绪和品牌类型对客人的满意度有不利影响。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信