IDEAS home Printed from https://ideas.repec.org/a/taf/rcitxx/v24y2021i23p3407-3419.html
   My bibliography  Save this article

Big-five personality traits in P2P accommodation platforms: similar or different to hotel brands?

Author

Listed:
  • Xiaowei Wang
  • Mingming Cheng
  • IpKin Anthony Wong
  • Min Teah
  • Sean Lee

Abstract

This study uses an intrinsic lens to assess the brand personality of leading peer-to-peer (P2P) accommodation platforms and hotel brands through brand generated content. Using a word embedding technique, gaussian process model, and cosine similarity, fourteen brands’ personality traits were analyzed and compared through brands’ tweets. Findings reveal that P2P accommodation platforms have high scores in Conscientiousness, Extraversion, and Agreeableness, followed by Openness, but are lowest on Neuroticism. Contrary to popular assumption, brand personalities of P2P accommodation platforms are highly similar to traditional hotels. This study extended the current knowledge on P2P accommodation from a brand personality perspective. Methodologically, this study highlights the potential of social media to derive insights beyond the traditional survey approach to understand the human psychology and behavior of brands.

Suggested Citation

  • Xiaowei Wang & Mingming Cheng & IpKin Anthony Wong & Min Teah & Sean Lee, 2021. "Big-five personality traits in P2P accommodation platforms: similar or different to hotel brands?," Current Issues in Tourism, Taylor & Francis Journals, vol. 24(23), pages 3407-3419, December.
  • Handle: RePEc:taf:rcitxx:v:24:y:2021:i:23:p:3407-3419
    DOI: 10.1080/13683500.2021.1884205
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13683500.2021.1884205
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13683500.2021.1884205?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:rcitxx:v:24:y:2021:i:23:p:3407-3419. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rcit .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.