IDEAS home Printed from https://ideas.repec.org/a/taf/servic/v41y2021i1-2p107-137.html
   My bibliography  Save this article

Masked smiles matter – employee verbal expertise and emotion display during COVID-19

Author

Listed:
  • Verena Hofmann
  • Nicola E. Stokburger-Sauer
  • Anna Wanisch
  • Heike Hebborn

Abstract

Throughout the customer journey, the employee-customer interaction drives customer responses. The COVID-19 pandemic has dramatically influenced shopping behavior with face masks playing a major role. This research investigates how consumer behavior has changed and how frontline employee (FLE) non-verbal (emotional facial expressions) and verbal cues (verbal expertise) influence customer responses dependent on whether FLEs wear a face mask or not. Semi-structured interviews among consumers, an open association study among students and an experimental study using Panel data were conducted. Findings of these online studies with German-speaking consumers show that face masks do not exclusively cause negative feelings and problems; they also reduce the perceived risk of a COVID-19 infection. Importantly, customers can correctly decode FLE smiling even when wearing face masks; however, the relevance of verbal expertise increases compared to FLE emotion displays. This state-of-the-art research during COVID-19 provides novel insights into dyadic service interactions for research and management.

Suggested Citation

  • Verena Hofmann & Nicola E. Stokburger-Sauer & Anna Wanisch & Heike Hebborn, 2021. "Masked smiles matter – employee verbal expertise and emotion display during COVID-19," The Service Industries Journal, Taylor & Francis Journals, vol. 41(1-2), pages 107-137, January.
  • Handle: RePEc:taf:servic:v:41:y:2021:i:1-2:p:107-137
    DOI: 10.1080/02642069.2021.1873296
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02642069.2021.1873296
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/02642069.2021.1873296?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. Xu, Yingzi & Ling, I-Ling, 2023. "Effects of face masks and photo tags on nonverbal communication in service encounters," Journal of Retailing and Consumer Services, Elsevier, vol. 73(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:servic:v:41:y:2021:i:1-2:p:107-137. 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/FSIJ20 .

    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.