共享经济中的业务连续性管理:从 Airbnb 在线评论中获得的启示

IF 10.9 1区 管理学 Q1 ENVIRONMENTAL STUDIES Tourism Management Pub Date : 2024-10-11 DOI:10.1016/j.tourman.2024.105067
Bowei Chen , Thomas Boysen Anker , Xiaoning Liang
{"title":"共享经济中的业务连续性管理:从 Airbnb 在线评论中获得的启示","authors":"Bowei Chen ,&nbsp;Thomas Boysen Anker ,&nbsp;Xiaoning Liang","doi":"10.1016/j.tourman.2024.105067","DOIUrl":null,"url":null,"abstract":"<div><div>The aim of this paper is to demonstrate how text mining of online reviews can support business continuity management in the sharing economy during market turbulence. We use topic modelling and sentiment analysis of Airbnb online reviews to identify specific areas where short-term rental hosts can harness the power of the sharing-economy business model to bounce back from market disruption. The dataset comprises 894,686 online Airbnb reviews from the pre- and post-Covid periods. We approach the pandemic as a paradigm example of a high-impact, external market shock and infer insights and recommendations from the dataset that are relevant to the general understanding of business continuity management in the short-term rental, peer-to-peer sharing economy.</div></div>","PeriodicalId":48469,"journal":{"name":"Tourism Management","volume":"107 ","pages":"Article 105067"},"PeriodicalIF":10.9000,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Business continuity management in the sharing economy: Insights from Airbnb online reviews\",\"authors\":\"Bowei Chen ,&nbsp;Thomas Boysen Anker ,&nbsp;Xiaoning Liang\",\"doi\":\"10.1016/j.tourman.2024.105067\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The aim of this paper is to demonstrate how text mining of online reviews can support business continuity management in the sharing economy during market turbulence. We use topic modelling and sentiment analysis of Airbnb online reviews to identify specific areas where short-term rental hosts can harness the power of the sharing-economy business model to bounce back from market disruption. The dataset comprises 894,686 online Airbnb reviews from the pre- and post-Covid periods. We approach the pandemic as a paradigm example of a high-impact, external market shock and infer insights and recommendations from the dataset that are relevant to the general understanding of business continuity management in the short-term rental, peer-to-peer sharing economy.</div></div>\",\"PeriodicalId\":48469,\"journal\":{\"name\":\"Tourism Management\",\"volume\":\"107 \",\"pages\":\"Article 105067\"},\"PeriodicalIF\":10.9000,\"publicationDate\":\"2024-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tourism Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0261517724001869\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0261517724001869","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0

摘要

本文旨在展示在线评论的文本挖掘如何在市场动荡期间为共享经济的业务连续性管理提供支持。我们通过对 Airbnb 在线评论进行主题建模和情感分析,找出短租房东可以利用共享经济商业模式的力量从市场混乱中反弹的具体领域。数据集包括科威德疫情前后的 894,686 条 Airbnb 在线评论。我们将大流行病作为高影响、外部市场冲击的范例,并从数据集中推断出与短租、点对点共享经济中业务连续性管理的一般理解相关的见解和建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Business continuity management in the sharing economy: Insights from Airbnb online reviews
The aim of this paper is to demonstrate how text mining of online reviews can support business continuity management in the sharing economy during market turbulence. We use topic modelling and sentiment analysis of Airbnb online reviews to identify specific areas where short-term rental hosts can harness the power of the sharing-economy business model to bounce back from market disruption. The dataset comprises 894,686 online Airbnb reviews from the pre- and post-Covid periods. We approach the pandemic as a paradigm example of a high-impact, external market shock and infer insights and recommendations from the dataset that are relevant to the general understanding of business continuity management in the short-term rental, peer-to-peer sharing economy.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Tourism Management
Tourism Management Multiple-
CiteScore
24.10
自引率
7.90%
发文量
190
审稿时长
45 days
期刊介绍: Tourism Management, the preeminent scholarly journal, concentrates on the comprehensive management aspects, encompassing planning and policy, within the realm of travel and tourism. Adopting an interdisciplinary perspective, the journal delves into international, national, and regional tourism, addressing various management challenges. Its content mirrors this integrative approach, featuring primary research articles, progress in tourism research, case studies, research notes, discussions on current issues, and book reviews. Emphasizing scholarly rigor, all published papers are expected to contribute to theoretical and/or methodological advancements while offering specific insights relevant to tourism management and policy.
期刊最新文献
AI-generated imagery in sustainable gastronomy tourism: A study from bottom-up to top-down processing Nature and adventure tourism rarely generate awe or pro-environmental behaviours: Conceptual and methodological rejoinder Digital nudging for sustainable tourist behavior in new media Construal level theory and online reviews: A search stage perspective Fresh perspectives in our understanding of induced awe in tourism contexts: A response to Ralf Buckley and colleagues
×
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