Coping with COVID-19 using contact tracing mobile apps
Chenglong Li, Hongxiu Li, Shaoxiong Fu · Industrial Management & Data Systems · 2023
Purpose To cope with the COVID-19 pandemic, contact tracing mobile apps (CTMAs) have been developed to trace contact among infected individuals and alert people at risk of infection. To disrupt virus transmission until the majority of the population has been vaccinated, achieving the herd immunity threshold, CTMA continuance usage is essential in managing the COVID-19 pandemic. This study seeks to examine what motivates individuals to continue using CTMAs. Design/methodology/approach Following the coping theory, this study proposes a research model to examine CTMA continuance usage, conceptualizing opportunity appraisals (perceived usefulness and perceived distress relief), threat appraisals (privacy concerns) and secondary appraisals (perceived response efficacy) as the predictors of individuals' CTMA continuance usage during the pandemic. In the United States, an online survey was administered to 551 respondents. Findings The results revealed that perceived usefulness and response efficacy motivate CTMA continuance usage, while privacy concerns do not. Originality/value This study enriches the understanding of CTMA continuance usage during a public health crisis, and it offers practical recommendations for authorities.