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    Host–guest interaction and sustainable consumption behaviour on sharing-accommodation platforms: using a big data analytic approach

    Jiang, X. and Li, Y. and Yang, J. and Wang, S. and Han, Chunjia (2024) Host–guest interaction and sustainable consumption behaviour on sharing-accommodation platforms: using a big data analytic approach. Sustainability 16 (13), ISSN 2071-1050.

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    Abstract

    The rapid expansion of the sharing economy has ignited diverse perspectives regarding its sus-tainability implications. Nevertheless, a comprehensive study examining the influence of host–guest interactions on sustainable consumption behaviour is yet to be conducted. To fill the above-mentioned gap, this research crawls online data and corresponding consumer reviews of 46,360 properties listed on Muniao Short Rent. Employing latent Dirichlet allocation (LDA) to model sustainable consumption reviews and conducting subsequent regression analysis using SPSS, this research empirically demonstrates that the host–guest interaction frequencies and positive emo-tions during interaction positively influence guests’ sustainable consumption behaviours within the sharing-accommodation context. This research proposes the significance of the host–guest re-lationship for green consumers and argues that factors such as price and house type negatively moderate the host–guest interactions and guests’ sustainable consumption initiatives.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): user behaviours, sharing-accommodation platforms, host–guest interaction, sustainable consumption behaviour, big data
    School: Birkbeck Faculties and Schools > Faculty of Business and Law > Birkbeck Business School
    Depositing User: Chunjia Han
    Date Deposited: 03 Dec 2024 14:26
    Last Modified: 03 Dec 2024 15:38
    URI: https://eprints.bbk.ac.uk/id/eprint/54657

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