IDEAS home Printed from https://ideas.repec.org/a/sae/manlab/v47y2022i4p470-482.html
   My bibliography  Save this article

Compliance Behaviour Amidst Ambiguous Information: An Exploratory Study in the Context of COVID-19

Author

Listed:
  • Divya Aggarwal
  • Subramania Raju Rajasulochana
  • Varun Elembilassery

Abstract

COVID-19 pandemic is an ambiguous situation due to the uncertainty associated with the outcome of the situation. This article aims at exploring the knowledge behaviour gap during a pandemic like COVID-19. The findings of this study indicate that individuals perceive different forms of ambiguity in different ways. Findings also suggest that, during a pandemic, attitude towards ambiguity and confidence in self-health significantly impact compliance behaviour. Interestingly, the findings also indicate that knowledge and perception about the context are not significantly associated with compliance behaviour. This study is one of the earliest attempts to understand the knowledge behaviour gap during a pandemic and contributes to the research literature by attempting a cross-fertilization of concepts from different streams of literature. This study also discusses the practical implications for the health sector, in particular health communication. JEL Codes: C9, D10, D81, D90

Suggested Citation

  • Divya Aggarwal & Subramania Raju Rajasulochana & Varun Elembilassery, 2022. "Compliance Behaviour Amidst Ambiguous Information: An Exploratory Study in the Context of COVID-19," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 47(4), pages 470-482, November.
    • Handle: RePEc:sae:manlab:v:47:y:2022:i:4:p:470-482
    DOI: 10.1177/0258042X221097816
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0258042X221097816
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0258042X221097816?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
    ---><---

    More about this item

    Keywords

    Information; willingness; ambiguity; attitude; knowledge;
    All these keywords.

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D10 - Microeconomics - - Household Behavior - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General

    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:sae:manlab:v:47:y:2022:i:4:p:470-482. 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: SAGE Publications (email available below). General contact details of provider: http://www.xlri.ac.in/ .

    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.