To determine whether H4b, H5b, H3c, and H4c are supported, we used the proposals by Hair et al. [85]. To finalize conclusions about the mediation effect; we calculated the amount and magnitude of mediation. We incorporated the variance accounted for (VAF) method to calculate the strength of mediation (Figure 5 and Figure 6). If VAF is less than 0.2, there is no mediation; if VAF is less than or equal to 0.8, there is a partial mediation; if VAF is greater than 0.8, there is full mediation. The magnitude and strength of epidemic protection (H4b: a1b1) and attitude toward epidemic outbreak (H5b: a2b2) mediated the association between the role of E-Govt and online social presence (Figure 5). We found via comparison that epidemic protection has a partial mediation effect on the role of E-Govt and online social presence because the VAF value was more than 0.2, which indicated that there is a partial mediation effect. As such, H4b is supported. Attitude toward epidemic outbreaks mediated the association between 2019-nCoV-WOM and online social presence; the VAF value was greater than 0.2, which indicated the presence of mediation. Therefore, we hypothesized imaginary harmonizing partial mediation because the effects of 2019-nCoV-WOMwere considerable both directly and indirectly and their products were positive [99].