IDEAS home Printed from https://ideas.repec.org/a/taf/rcitxx/v22y2019i19p2327-2332.html
   My bibliography  Save this article

To smile or not to smile – an eye-tracking study on service recovery

Author

Listed:
  • Henrique Fátima Boyol Ngan
  • Chung-En Yu

Abstract

The effect of service with a smile on consumers is undoubtedly positive. Yet, in service failure and recovery, this remains unclear. This study examines the importance of morphological characteristics of a smile and different types of smile in service failure and recovery using eye-tracking technology. Results indicated that the degree of mouth activation and the gender of the service worker were crucial factors in service recovery. In addition, eye-tracking data revealed that the longest fixations occurred on smiles with teeth showing and eyes that produced crows’ feet wrinkles. Taken together, this suggests that eye tracking may identify optimal display of smile in service recovery.

Suggested Citation

  • Henrique Fátima Boyol Ngan & Chung-En Yu, 2019. "To smile or not to smile – an eye-tracking study on service recovery," Current Issues in Tourism, Taylor & Francis Journals, vol. 22(19), pages 2327-2332, November.
  • Handle: RePEc:taf:rcitxx:v:22:y:2019:i:19:p:2327-2332
    DOI: 10.1080/13683500.2018.1502260
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13683500.2018.1502260
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13683500.2018.1502260?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. Yu, Joanne & Dickinger, Astrid & So, Kevin Kam Fung & Egger, Roman, 2024. "Artificial intelligence-generated virtual influencer: Examining the effects of emotional display on user engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 76(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:22:y:2019:i:19:p:2327-2332. 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.