Title Exploring preferences and sustainable attitudes of Airbnb green users in the review comments and ratings: a text mining approach
Authors SERRANO MENDOZA, LAURA, ARIZA MONTES, JOSÉ ANTONIO, Nader M., SIANES CASTAÑO , ANTONIO, Law R., ARIZA MONTES, JOSÉ ANTONIO, SIANES CASTAÑO , ANTONIO, SERRANO MENDOZA, LAURA
External publication No
Means J. Sustain. Tour.
Scope Article
Nature Científica
JCR Quartile 1
SJR Quartile 1
Area International
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094156870&doi=10.1080%2f09669582.2020.1838529&partnerID=40&md5=f35115355912cfef99d2cda11bec3c9d
Publication date
ISI 000584298900001
Scopus Id 2-s2.0-85094156870
DOI 10.1080/09669582.2020.1838529
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. © 2020 Informa UK Limited, trading as Taylor & Francis Group.
Keywords Airbnb; Big data; sentiment analysis; sustainable consumption behavior; sustainable tourism
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