Does Social Risk Amplification Theory Explain the Resistance to COVID-19 Geo-Localization Applications?
Does Social Risk Amplification Theory Explain the Resistance to COVID-19 Geo-Localization Applications?
Author(s): Mohamed Nabil Mzoughi, Karim GarrouchSubject(s): ICT Information and Communications Technologies
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Mobile application; COVID-19; Resistance; prevention behavior; perceived risk
Summary/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.
Journal: TEM Journal
- Issue Year: 10/2021
- Issue No: 3
- Page Range: 1202-1208
- Page Count: 7
- Language: English
