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Revealing Airbnb user concerns on different room types

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  • Han, Chunjia
  • Yang, Mu

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  • Han, Chunjia & Yang, Mu, 2021. "Revealing Airbnb user concerns on different room types," Annals of Tourism Research, Elsevier, vol. 89(C).
    • Handle: RePEc:eee:anture:v:89:y:2021:i:c:s0160738320302255
    DOI: 10.1016/j.annals.2020.103081
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    References listed on IDEAS

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    1. Brochado, Ana & Troilo, Michael & Shah, Aditya, 2017. "Airbnb customer experience: Evidence of convergence across three countries," Annals of Tourism Research, Elsevier, vol. 63(C), pages 210-212.
    2. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
    3. Hajibaba, Homa & Dolnicar, Sara, 2017. "Substitutable by peer-to-peer accommodation networks?," Annals of Tourism Research, Elsevier, vol. 66(C), pages 185-188.
    4. Joachim Büschken & Greg M. Allenby, 2016. "Sentence-Based Text Analysis for Customer Reviews," Marketing Science, INFORMS, vol. 35(6), pages 953-975, November.
    5. Dolnicar, Sara, 2019. "A review of research into paid online peer-to-peer accommodation," Annals of Tourism Research, Elsevier, vol. 75(C), pages 248-264.
    6. Dolnicar, Sara & Zare, Samira, 2020. "CORONAVIRUS AND AIRBNB – Disrupting the Disruptor," SocArXiv t9n6q, Center for Open Science.
    Full references (including those not matched with items on IDEAS)

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