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Trust, Confidence and Cooperation model: a framework for understanding the relation between trust and Risk Perception

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  • T. Earle
  • M. Siegrist

Abstract

The nature of the relation between trust and Risk Perception (RP) has recently become a focus of increased interest among risk management researchers. Some argue that trust is strongly related to RP and that it therefore might prove to be a key to the development of more effective risk communication techniques. However, others claim that trust is weakly related, if at all, to RP and that it would be of little use to risk communicators and managers. A recent analysis of relevant empirical studies (Earle, Siegrist and Gutscher, 2007) supported neither the strong- nor the weak-relation argument. A wide variety of studies indicated, instead, that the relation between trust and RP is conditioned by certain critical contextual factors. Although much remains to be learned about these factors, the most important among them appear to be: (a) the judged moral importance (to individuals) of the risk management issue, and (b) the individuals' judged personal knowledge of or familiarity with the issue. These factors are elements of a general model of the relations among Trust, Confidence and Cooperation (TCC), the TCC model. In this article, we demonstrate how the TCC model can generate useful hypotheses about the relation between trust and RP in important risk management contexts characterised by different levels of moral importance and knowledge.

Suggested Citation

  • T. Earle & M. Siegrist, 2008. "Trust, Confidence and Cooperation model: a framework for understanding the relation between trust and Risk Perception," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 8(1/2), pages 17-29.
    • Handle: RePEc:ids:ijgenv:v:8:y:2008:i:1/2:p:17-29
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    Citations

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    Cited by:

    1. Modupeola Atoke ADEOLU-AKANDE, 2022. "Citizens’ Perception of Political Trust in The Nigerian Government on COVID-19 Management," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(8), pages 776-784, August.
    2. Timothy C. Earle, 2009. "Trust, Confidence, and the 2008 Global Financial Crisis," Risk Analysis, John Wiley & Sons, vol. 29(6), pages 785-792, June.
    3. Branden B. Johnson, 2019. "Americans’ Views of Voluntary Protective Actions Against Zika Infection: Conceptual and Measurement Issues," Risk Analysis, John Wiley & Sons, vol. 39(12), pages 2694-2717, December.
    4. Rodolfo Garcia Sierra & Álvaro Zerda Sarmiento, 2017. "Caracterización de la función de valor empleada en las decisiones ambientales por las grandes organizaciones: Estudio de los grandes proyectos hidroeléctricos en Colombia," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 26(1), pages 69-91, December.
    5. Rodolfo Garcia Sierra & Alvaro Zerda Sarmiento, 2016. "Hydropower Megaprojects in Colombia and the Influence of Local Communities: A View from Prospect Theory to Decision Making Process based on Expert Judgment used in Large Organizations," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 408-420.
    6. Branden B. Johnson & William K. Hallman & Cara L. Cuite, 2015. "Modeling Retrospective Attribution of Responsibility to Hazard‐Managing Institutions: An Example Involving a Food Contamination Incident," Risk Analysis, John Wiley & Sons, vol. 35(3), pages 423-433, March.
    7. Branden B. Johnson & Adam M. Finkel, 2016. "Public Perceptions of Regulatory Costs, Their Uncertainty and Interindividual Distribution," Risk Analysis, John Wiley & Sons, vol. 36(6), pages 1148-1170, June.
    8. Branden B. Johnson, 2019. "Experiments in Lay Cues to the Relative Validity of Positions Taken by Disputing Groups of Scientists," Risk Analysis, John Wiley & Sons, vol. 39(8), pages 1657-1674, August.
    9. Timothy C. Earle, 2010. "Distinguishing Trust from Confidence: Manageable Difficulties, Worth the Effort Reply to: Trust and Confidence: The Difficulties in Distinguishing the Two Concepts in Research," Risk Analysis, John Wiley & Sons, vol. 30(7), pages 1025-1027, July.
    10. Ye, Maoxin & Lyu, Zeyu, 2020. "Trust, risk perception, and COVID-19 infections: Evidence from multilevel analyses of combined original dataset in China," Social Science & Medicine, Elsevier, vol. 265(C).
    11. Fredy S. Monge-Rodríguez & He Jiang & Liwei Zhang & Andy Alvarado-Yepez & Anahí Cardona-Rivero & Enma Huaman-Chulluncuy & Analy Torres-Mejía, 2021. "Psychological Factors Affecting Risk Perception of COVID-19: Evidence from Peru and China," IJERPH, MDPI, vol. 18(12), pages 1-16, June.
    12. Kazuya Nakayachi & Branden B. Johnson & Kazuki Koketsu, 2018. "Effects of Acknowledging Uncertainty about Earthquake Risk Estimates on San Francisco Bay Area Residents’ Beliefs, Attitudes, and Intentions," Risk Analysis, John Wiley & Sons, vol. 38(4), pages 666-679, April.
    13. Alistair Cole & Julien S. Baker & Dionysios Stivas, 2021. "Trust, Transparency and Transnational Lessons from COVID-19," JRFM, MDPI, vol. 14(12), pages 1-15, December.
    14. Bertolozzi-Caredio, Daniele & Bardají, Isabel & Garrido, Alberto & Berry, Robert & Bijttebier, Jo & Gavrilescu, Camelia & Harizanova, Hristina & Jendrzejewski, Błażej & Meuwissen, Miranda M.P. & Ollen, 2021. "Stakeholder perspectives to improve risk management in European farming systems," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 84, pages 147-161.

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