IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-36309-2_20.html
   My bibliography  Save this book chapter

Personal Profile Information as Cues of Credibility in Online Travel Reviews

In: Information and Communication Technologies in Tourism 2013

Author

Listed:
  • Hee Lye Park

    (University of North Texas)

  • Zheng Xiang

    (University of North Texas)

  • Bharath Josiam

    (University of North Texas)

  • Haejung Maria Kim

    (University of North Texas)

Abstract

Given the importance of travellers’ reviews as a source of travel-related information, source credibility is becoming an increasingly crucial issue in terms of research and application. This study examines the role of self-disclosed personal profile information (PPI) as cues of source credibility in the context of travellers’ use of online reviews for trip planning purposes. The results show that the perceived congruence between PPI, i.e., reviewer location and travel interest, and the textual content of the review influences subjects’ judgements of the reviewer’s credibility. The findings suggest that the availability of the reviewer’s self-disclosed PPI serves as credibility cues for travellers’ assessments of travel reviewers. The implications of the study, as well as directions for future research, are discussed.

Suggested Citation

  • Hee Lye Park & Zheng Xiang & Bharath Josiam & Haejung Maria Kim, 2013. "Personal Profile Information as Cues of Credibility in Online Travel Reviews," Springer Books, in: Lorenzo Cantoni & Zheng (Phil) Xiang (ed.), Information and Communication Technologies in Tourism 2013, edition 127, pages 230-241, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-36309-2_20
    DOI: 10.1007/978-3-642-36309-2_20
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fang, Bin & Ye, Qiang & Kucukusta, Deniz & Law, Rob, 2016. "Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics," Tourism Management, Elsevier, vol. 52(C), pages 498-506.
    2. Tiziana Guzzo & Fernando Ferri & Patrizia Grifoni, 2022. "What Factors Make Online Travel Reviews Credible? The Consumers’ Credibility Perception-CONCEPT Model," Societies, MDPI, vol. 12(2), pages 1-16, March.

    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:spr:sprchp:978-3-642-36309-2_20. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.