Exploring preferences and sustainable attitudes of Airbnb green users in the review comments and ratings: a text mining approach

Laura Serrano, Antonio Ariza-Montes, Martín Nader, Antonio Sianes, Rob Law

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)

Abstract

The sharing economy platforms for accommodation have emerged as a disruptive model that has revolutionized the tourist lodging sector and modified tourist consumption patterns. Airbnb is the paradigm of this business model, with approximately 300 million users and more than 7 million listings worldwide. However, studies that have attempted to explore the consumer experiences of green Airbnb users are still scarce, especially those using big data approaches. The present study explores the preferences and attitudes of green Airbnb users by analyzing the online review published in Inside Airbnb using text mining and sentiment analysis. Findings reveal six latent aspects among which the “sustainability” predominates in the online opinions of green Airbnb users, situating sustainability in relation to the most positive emotion of the Plutchik model. Moreover, the results of the analysis suggest a positivity bias in the online reviews of green Airbnb users. Managerial implications for sustainability, consumer behavior management, and marketing fields are discussed.

Original languageEnglish
Pages (from-to)1134-1152
Number of pages19
JournalJournal of Sustainable Tourism
Volume29
Issue number7
DOIs
Publication statusPublished - Jul 2021

Keywords

  • Airbnb
  • Big data
  • sentiment analysis
  • sustainable consumption behavior
  • sustainable tourism

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Tourism, Leisure and Hospitality Management

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