Artificial Intelligence in Hospitality and Tourism: Insights From Industry Practices, Research Literature, and Expert Opinions

Hyunsu Kim, Kevin Kam Fung So, Seunghun Shin, Jing Li
{"title":"Artificial Intelligence in Hospitality and Tourism: Insights From Industry Practices, Research Literature, and Expert Opinions","authors":"Hyunsu Kim, Kevin Kam Fung So, Seunghun Shin, Jing Li","doi":"10.1177/10963480241229235","DOIUrl":null,"url":null,"abstract":"Given that artificial intelligence (AI) is significantly transforming businesses, it is crucial to examine how AI will change the future of the hospitality and tourism industry. By integrating multiple data sources (i.e., practitioner literature, research literature, and expert opinions), we suggest three trends constituting opportunities and challenges (AI applications in different business sectors, primary AI functions, emerging AI topics), three possible themes of change (adoption and acceptance, operations management, AI in marketing), as well as four directions for future research (AI interaction, AI and organizational decision making, organizational implications, and managerial issues). Our findings present a detailed picture of AI development and applications along with predictions regarding its place in the industry. Finally, we outline a research agenda that addresses key issues for stakeholders in hospitality and tourism: individuals, including customers and employees; organizations and businesses; and public policymakers and governments.","PeriodicalId":369021,"journal":{"name":"Journal of Hospitality & Tourism Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hospitality & Tourism Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/10963480241229235","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

Given that artificial intelligence (AI) is significantly transforming businesses, it is crucial to examine how AI will change the future of the hospitality and tourism industry. By integrating multiple data sources (i.e., practitioner literature, research literature, and expert opinions), we suggest three trends constituting opportunities and challenges (AI applications in different business sectors, primary AI functions, emerging AI topics), three possible themes of change (adoption and acceptance, operations management, AI in marketing), as well as four directions for future research (AI interaction, AI and organizational decision making, organizational implications, and managerial issues). Our findings present a detailed picture of AI development and applications along with predictions regarding its place in the industry. Finally, we outline a research agenda that addresses key issues for stakeholders in hospitality and tourism: individuals, including customers and employees; organizations and businesses; and public policymakers and governments.
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
酒店与旅游业中的人工智能:行业实践、研究文献和专家意见的启示
鉴于人工智能(AI)正在显著改变企业,研究人工智能将如何改变酒店和旅游业的未来至关重要。通过整合多种数据来源(即从业人员文献、研究文献和专家意见),我们提出了构成机遇与挑战的三个趋势(不同商业领域的人工智能应用、人工智能的主要功能、新兴人工智能主题)、三个可能的变革主题(采用与接受、运营管理、人工智能在营销中的应用)以及四个未来研究方向(人工智能互动、人工智能与组织决策、组织影响和管理问题)。我们的研究结果详细介绍了人工智能的发展和应用,并对其在行业中的地位进行了预测。最后,我们概述了研究议程,以解决酒店和旅游业利益相关者的关键问题:个人,包括顾客和员工;组织和企业;以及公共政策制定者和政府。
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
EXPRESS: Do Repeat Customers Effectively Attract New Customers? Reconsidering Customer Influence Value of Repeat Customers Understanding and Employing Formative Constructs: Conceptualization, Operationalization, and Threats of Misspecification Rethinking Travel Companionship: An Alternative Conceptual Model and Future Research Agenda EXPRESS: Effectiveness of message framing in changing restaurant diners’ plant-based meat consumption Biophilic Urban Hotel Design and Restorative Experiencescapes
×
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