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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
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    References listed on IDEAS

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    1. Hyun-Ju Choi & Jong-Chang Ahn & Seung-Hye Jung & Joon-Ho Kim, 2020. "Communities of practice and knowledge management systems: effects on knowledge management activities and innovation performance," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 18(1), pages 53-68, January.
    2. Susanne Durst & Malgorzata Zieba, 2019. "Mapping knowledge risks: towards a better understanding of knowledge management," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 17(1), pages 1-13, January.
    3. Craig R. Fox & Amos Tversky, 1995. "Ambiguity Aversion and Comparative Ignorance," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 585-603.
    4. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    5. Silvia Martelo-Landroguez & Juan-Gabriel Cegarra Navarro & Gabriel Cepeda-Carrión, 2019. "Uncontrolled counter-knowledge: its effects on knowledge management corridors," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 17(2), pages 203-212, April.
    6. Jackson, Thomas W. & Farzaneh, Pourya, 2012. "Theory-based model of factors affecting information overload," International Journal of Information Management, Elsevier, vol. 32(6), pages 523-532.
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    Keywords

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    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

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