IDEAS home Printed from https://ideas.repec.org/a/taf/rcitxx/v23y2020i17p2207-2222.html
   My bibliography  Save this article

Effects of online reviews and managerial responses from a review manipulation perspective

Author

Listed:
  • Yukuan Xu
  • Zili Zhang
  • Rob Law
  • Ziqiong Zhang

Abstract

Unlike online travel agencies (OTAs), travel review websites allow travellers without purchase records to share their opinions. However, the effects of two mechanisms, namely, verified and unverified reviews, on traveller decisions remain unclear. In this study, managerial responses (MRs) and traveller bookings data were collected from TripAdvisor (a travel review website) and Expedia (an OTA), respectively. The following findings were drawn after matching the review data from these websites: (1) Expedia has more credible reviews than TripAdvisor. Therefore, higher review volume and valence ratio between Expedia and TripAdvisor significantly increase traveller bookings; (2) more MRs on TripAdvisor is significantly associated with lesser bookings because travellers treat MRs on TripAdvisor as acts of review manipulation instead of positive efforts by hotels; and (3) the number of MRs significantly and positively moderates the effect of review volume and valence ratio on traveller bookings. This study also discusses the practical and theoretical implications of its findings for both academics and travel practitioners.

Suggested Citation

  • Yukuan Xu & Zili Zhang & Rob Law & Ziqiong Zhang, 2020. "Effects of online reviews and managerial responses from a review manipulation perspective," Current Issues in Tourism, Taylor & Francis Journals, vol. 23(17), pages 2207-2222, September.
  • Handle: RePEc:taf:rcitxx:v:23:y:2020:i:17:p:2207-2222
    DOI: 10.1080/13683500.2019.1626814
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13683500.2019.1626814
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13683500.2019.1626814?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.

    Citations

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


    Cited by:

    1. Koc, Erdogan & Hatipoglu, Sercan & Kivrak, Oguzhan & Celik, Cemal & Koc, Kaan, 2023. "Houston, we have a problem!: The use of ChatGPT in responding to customer complaints," Technology in Society, Elsevier, vol. 74(C).

    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:23:y:2020:i:17:p:2207-2222. 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.