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  • 标题:Does Social Risk Amplification Theory Explain the Resistance to COVID-19 Geo-Localization Applications?
  • 本地全文:下载
  • 作者:Mohamed Nabil Mzoughi ; Karim Garrouch
  • 期刊名称:TEM Journal
  • 印刷版ISSN:2217-8309
  • 电子版ISSN:2217-8333
  • 出版年度:2021
  • 卷号:10
  • 期号:3
  • 页码:1202-1208
  • DOI:10.18421/TEM103-26
  • 语种:English
  • 出版社:UIKTEN
  • 摘要: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.
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