IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03329187.html
   My bibliography  Save this paper

The psychology of frustration: Appraisals, outcomes, and service recovery

Author

Listed:
  • Helena González‐gómez

    (NEOMA - Neoma Business School)

  • Sarah Hudson

    (ESC [Rennes] - ESC Rennes School of Business)

  • Aude Rychalski

    (Métis Lab EM Normandie - EM Normandie - École de Management de Normandie)

Abstract

This study fills a gap in the consumer emotions literature regarding customer frustration in a customer service setting. Most research on customer emotions has examined anger, happiness or affect in general, largely ignoring the particularities of frustration. Consistent with appraisal theory, we use five experiments to explore the different appraisal dimensions that define frustration and its relation to customer loyalty and satisfaction. Contrary to common belief, we show that frustration is not simply the result of goal-blocking, but rather of a more complex combination of appraisals which differentiate it from anger and lead to distinct effects on satisfaction and loyalty. We also examine how the effects of frustration on loyalty and satisfaction are mitigated by service recovery in a further experiment and an event reconstructive method. Our results test appraisal theory, inform theory on customer emotions and have important implications for our understanding of customer satisfaction and loyalty following frustrating customer service encounters.

Suggested Citation

  • Helena González‐gómez & Sarah Hudson & Aude Rychalski, 2021. "The psychology of frustration: Appraisals, outcomes, and service recovery," Post-Print hal-03329187, HAL.
    • Handle: RePEc:hal:journl:hal-03329187
    DOI: 10.1002/mar.21528
    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. Zengmao Yang & Jinlai Zhou & Hongjun Yang, 2023. "The Impact of AI’s Response Method on Service Recovery Satisfaction in the Context of Service Failure," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    2. Xu, Xing'an & Liu, Juan, 2022. "Artificial intelligence humor in service recovery," Annals of Tourism Research, Elsevier, vol. 95(C).
    3. Xu, Xing'an & Liu, Juan & Gursoy, Dogan, 2022. "Emotional intelligence similarity in service recovery," Annals of Tourism Research, Elsevier, vol. 96(C).

    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:hal:journl:hal-03329187. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.