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Vol.10, No.3, August 2021. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Does Social Risk Amplification Theory Explain the Resistance to COVID-19 Geo-Localization Applications?
Mohamed Nabil Mzoughi, Karim Garrouch
© 2021 Karim Garrouch, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 10, Issue 3, Pages 1202-1208, ISSN 2217-8309, DOI: 10.18421/TEM103-26, August 2021.
Received: 07 April 2021. Revised: 15 July 2021.
Abstract:
KSA have launched a mobile application which recognizes if there is a confirmed COVID-19 subject in proximity. Its adoption can be explained by technology acceptance models, but the pandemic context involves also the use of a theory dealing with the health risk. This study adapts the Social Amplification of Risk Framework to verify a model explaining three behaviors: information seeking, preventive behavior and resistance to COVID-19 mobile application Tawakkalna. A survey has been distributed to a sample of 312 individuals living in Saudi Arabia. Findings show that media coverage and perceived risk have an impact on negative affective reactions which influence behavior.
Keywords : Mobile application, COVID-19, Resistance, prevention behavior, perceived risk. |
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