Research on Residents' Privacy Information Disclosure Intention in Epidemic Environments.

The technology monitoring measures play an important role in COVID-19's prevention and control in China. However, some residents are unwilling to be monitored, and their willingness to disclose information is low, which hinders the promotion of technology monitoring. This research aims to analyze the influencing factors of residents' privacy information disclosure intention in epidemic environments based on the privacy calculus theory. Firstly, this research reviews the related research on privacy calculus, puts forward research hypotheses, and establishes a conceptual model. Then, the data were collected by questionnaire and the reliability and validity of the scale used were tested. Finally, this research uses the software of MPLUS to verify the overall fit of the model, and test the significance of the hypotheses. The research results show that information sensitivity and self-perceived efficiency will affect the privacy calculation, and then affect the residents' privacy information disclosure intention, and subjective norms, self-perceived efficacy, perceived benefits, and perceived risks will directly affect the residents' privacy information disclosure intention. These conclusions can provide guidance for the formulation of the promotion plan of technology monitoring, help the government to promote technology monitoring, improve the epidemic prevention and control ability of the society.