Business continuity management in the sharing economy: Insights from Airbnb online reviews

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
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Abstract

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.
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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
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。
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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.
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