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

Bowei Chen, Thomas Boysen Anker, Xiaoning Liang (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number105067
Number of pages13
JournalTourism Management
Volume107
Early online date11 Oct 2024
DOIs
Publication statusE-pub ahead of print - 11 Oct 2024

Keywords

  • Airbnb
  • Business continuity
  • Online reviews
  • Sentiment analysis
  • Sharing economy
  • Text mining
  • Topic modelling

ASJC Scopus subject areas

  • Development
  • Transportation
  • Tourism, Leisure and Hospitality Management
  • Strategy and Management

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