IDEAS home Printed from https://ideas.repec.org/a/taf/jgsmks/v32y2022i4p579-600.html
   My bibliography  Save this article

Essential item purchases during COVID-19: A cluster analysis of psychographic traits

Author

Listed:
  • Pearlyn Ng
  • Xuan Quach
  • Omar H Fares
  • Myuri Mohan
  • Seung Hwan (Mark) Lee

Abstract

This research seeks to profile consumer segments formed during the COVID-19 pandemic via a set of psychographic consumption traits: Narcissism, Psychological Entitlement, Status Consumption, Fear of Embarrassment, and Fear of Missing Out. Based on a cluster analysis of 281 consumers, the data generated four distinct groups: Egalitarians, Agentic Egoists, Communal Egoists, and Conformists. Further, we compared the segments in their acquisition behavior as it pertains to importance of purchase, quantity of purchase, sharing of purchase, and willingness to pay for essential items. Our results showed that each cluster was associated with a unique set of consumer preferences. For instance, Egalitarians placed less importance on medical items. Conformists placed greater importance on acquiring disposable masks than others. Communal Egoists were interested in food-related items such as bottled waters and snacks. Agentic Egoists reported that they would spend more money on cold/cough medicines than Egalitarians and Conformists. Overall, our findings provide key insights and recommendations to retail managers. Some limitations include our sampling approach (i.e. US consumers) and determining clusters based on select psychographic traits. We acknowledge that there are other characteristics that can differentially influence consumers’ acquisition behavior during the pandemic.

Suggested Citation

  • Pearlyn Ng & Xuan Quach & Omar H Fares & Myuri Mohan & Seung Hwan (Mark) Lee, 2022. "Essential item purchases during COVID-19: A cluster analysis of psychographic traits," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 32(4), pages 579-600, October.
  • Handle: RePEc:taf:jgsmks:v:32:y:2022:i:4:p:579-600
    DOI: 10.1080/21639159.2022.2033132
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/21639159.2022.2033132
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/21639159.2022.2033132?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.

    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:jgsmks:v:32:y:2022:i:4:p:579-600. 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/RGAM20 .

    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.