Worry of COVID-19 BI Fear of COVID-19 AT Fear of COVID-
The effect of fear of COVID-19 on behavioral intention through attitudes was 0.155 (typical error (SE) = 0.064, 95 CI (0.042, 0.262)).Worry of COVID-19 BI Worry of COVID-19 AT Fear of COVID-19 SN Worry of COVID-19 PBC Estimate 0.240 0.284 0.384 0.159 0.699 0.666 0.757 S.E. 0.033 0.033 0.040 0.055 0.057 0.055 0.06 C.R. 7.171 eight.581 9.622 2.873 12.35 12.089 12.537 Supported Yes Yes Yes Yes Yes Yes YesAT: Attitudes; SN: Subjective Norms; PBC: Perceived behavioral manage; BI: Behavioral intention; S.E.: regular deviation; C.R.: Composite Reliability; : p 0.01; : p 0.001.Sustainability 2021, 13,ten ofThe outcomes of your positive and direct effect of attitudes on purchase intention (standardized direct effect = 0.24, p 0.05) were statistically significant, so H1a was supported. The outcomes on the good and direct effect of subjective norms on obtain intention (standardized direct impact = 0.284, p 0.05) were statistically substantial, thereby supporting H1b. Also, the significant impacts of each perceived behavioral control (standardized direct effect = 0.384, p 0.05) and worry of COVID-19 (standardized direct impact = 0.159, p 0.05) on purchase intention supported H1c and H2, explaining 80.3 in the variance in behavioral intention (R2 = 0.803). An assessment of path coefficients (Table 5) revealed that worry of COVID-19 significantly impacted attitudes, subjective norms, and perceived behavioral handle, thereby confirming H3a, H3b, and H3c, respectively. The results of the constructive and direct impact of worry of COVID-19 on attitudes (standardized direct impact = 0.699, p 0.05) have been statistically important, so H3a was supported. That explained 32.three in the variance in attitude (R2 = 0.323). The outcomes of the good and direct effect of worry of COVID-19 on subjective norms (standardized direct impact = 0.666, p 0.05) have been statistically considerable; therefore, H3b was supported. That also accounted for 30.3 from the variance in subjective norms (R2 = 0.303). The statistically important optimistic and direct impact of fear of COVID-19 on perceived behavioral manage (standardized direct impact = 0.757, p 0.05) was in help of H3c. That explained 37.3 on the variance in perceived behavioral handle (R2 = 0.373). The study utilised previously described actions [77] to apply Preacher Hayes' strategy to the mediation model. Initial, the study confirmed the direct impact among worry of COVID19 and behavioral intention. This effect was optimistic and significant ( = 0.529, t = 12.106; p 0.001; Figure 1). The second step integrated the impact on the mediator variable (AT, SN, PBC). The indirect effect was constructive and substantial (H1, H2, H3 have been supported; Figure 1). The mediating effect did suppress the direct effect as reflected by the direct relationship in between worry of COVID-19 and behavioral intention ( = 0.159, t = two.87; p 0.05). The study assessed the indirect effects utilizing the bootstrap procedure previously reported [77]. If the 95 CI with the mediation impact did not Ve exchanges increases (their frequency in-Appl. Sci. 2021, 11,15 ofcreases), the worth of contain 0, the mediation impact was significant (i.e., existence of a mediation effect). The effect of fear of COVID-19 on behavioral intention by way of attitudes was 0.155 (standard error (SE) = 0.064, 95 CI (0.042, 0.262)). The effect of fear of COVID-19 on behavioral intention through subjective norms was 0.175 (SE = 0.058, 95 CI (0.079, 0.301)).