Understanding the impact process of vaccine adoption for COVID-19

Vaccination for the novel coronavirus disease 2019 (COVID-19) provides an effective approach for the general improvement of social safety and individual health. To date, few studies have analyzed the adoption of COVID-19 vaccines from an entire impact process perspective. Using the health belief model (HBM) and the valence theory, this research evaluates the impact process of vaccine adoption for COVID-19. The respondents in this study were individuals who have been vaccinated in China. The effective sample included 595 individuals. Four valuable and novel findings are identified through this research. First, neither perceived susceptibility nor perceived severity has a statistically significant impact on the benefits from vaccination, threats from vaccination and self-efficacy. Second, benefits from vaccination produce a significant positive effect on self-efficacy and vaccine adoption. Third, threats from vaccination produce a significant negative effect on self-efficacy and vaccine adoption. Fourth, both self-efficacy and cues to adoption produce a significantly positive impact on vaccine adoption. Our theoretical model, which is the main contribution of this research, indicates that individual vaccine adoption is simply a process that leads from behavioral cognition to behavioral intention, rather than from psychological perception to behavioral cognition and then from behavioral cognition to behavioral intention.

Understanding the continuous vaccination of the COVID-19 vaccine: an empirical study from China

Vaccination for the novel coronavirus disease 2019 (COVID-19) provides an effective approach for the general improvement of social safety and individual health. However, given that the current COVID-19 vaccine can only work for a period of time, the continuous vaccination of the vaccine will be particularly important. Using the Health Action Process Approach (HAPA) Model, Expectation Confirmation Model (ECM) and vaccine hesitancy (VH) theory, this research evaluates the continuous vaccination for COVID-19. This research selected Chinese survey platform to recruit respondents and conducted online surveys. A total of 768 Chinese individuals who were vaccinated participated in the survey, and 561 responses were effective after screening. Six valuable and novel findings are identified through this research. First, perceived efficacy has a positive significant impact on vaccination intention, but the positive effects of outcome expectancy and risk perception on vaccination intention are not significant. Second, social positive cues play a significant role in promoting vaccination intention. Third, VH has a negative significant influence on vaccination intention. Fourth, vaccination behavior produces a positive significant effect on perceived usefulness and satisfaction, respectively. Fifth, perceived usefulness exerted a positive significant impact on satisfaction and continuous vaccination, respectively. Sixth, satisfaction has no positive significant influence on continuous vaccination. Our theoretical model, which is the main contribution of this research, indicates that individual continuous vaccination is a process from motivation to intention, and from intention to behavior, and then from behavior to continuous vaccination.

The Effects of Applying Privacy by Design to Preserve Privacy and Personal Data Protection in Mobile Cloud Computing: An Exploratory Study

Mobile cloud computing (MCC) is a domain that stemmed from advances in mobile technology and cloud computing. Although debate continues about the best strategies to preserve privacy and personal data protection in MCC, it is essential to explore the effects of applying privacy by design (PbD) to preserve privacy and personal data protection in MCC. PbD is a general philosophy that demonstrates privacy should not be overviewed as an afterthought, but rather as a first-class requirement in the design of IT systems. This study explores the effects of applying PbD to preserve privacy and personal data protection in MCC, and is focused on the privacy of personal data. In this exploration, a framework using PbD has been demonstrated, and seven hypotheses were formulated. Moreover, a survey was implemented where 386 responses were used to test the formulated hypotheses. The results of this study supported the perceived benefits, cues to action of PbD, and perceived threat are positively and directly related to privacy and personal data protection behavior in MCC. Moreover, the results supported that the perceived barriers are negatively and directly related to privacy and personal data protection behavior in MCC. Overall, the results support the utilization of PbD to preserve privacy and personal data protection in MCC and encourage the practitioners to utilize PbD to preserve privacy and personal data protection in MCC.