Research on Public Attitudes Towards Personal Information Disclosure in the Context of Big Data Public Management
The wide application of big data and intelligent technologies in public management has brought about public concerns about privacy disclosure.This paper makes an analysis of public attitudes towards personal information disclosure during the COVID-19 pandemic,aiming to provide a theoretical support for constructing a more harmonious personal information"disclosure-collection"relationship in big data-driven public management.It first proposes a structural equation model by integrating protection motivation theory and regulatory focus theory,and adopting privacy concerns as a mediating variable.Then,through online survey,4,800 valid samples from 16 Chinese cities are collected.The analysis of such samples shows that self-efficacy exerts a negative influence on privacy concerns,while subjective norms yield a positive impact on privacy concerns.Additionally,privacy concerns has a negatively effect on personal information disclosure attitudes.Compared to individuals with a prevention-focused orientation,those with promotion-focused orientation experience a lower level of privacy concerns,they also have a greater tendency to support personal information disclosure in the realm of public management.Meanwhile,regulatory focus has a significant moderating effect on the relationship between self-efficacy and privacy concerns.
big data public managementpublic attitudes towards personal information disclosureregulatory focusprivacy concerns
NETL
NSTL
万方数据
