Table 1. Age descriptive statistics The total surveys distributed were 320, where only 311 surveys were returned. According to gender, the percentage of male is 55.4%, and the percentage of female is 41.3%, while 3.3% did not report their gender. The second demographic factor was age, where the majority of respondents were between 17 years and 30 years (92.5%). Such category has positive response to fill surveys and they feel they know more about the research topic (technology). Table 1 shows all categories and their Table 2. Education descriptive statistics percentages. As for education, the majority of respondents’ hold a bachelor degree (74.1%); Table 2 shows this category. aH OLIVVYVO Llltd ILS Ete J ° When asked about e-voting systems, 199 respondents indicated that they heard about e-voting (65.2%). Only 12 surveys did not include any response leaving 94 responses who did not hear about it (30.8%). Such result depicts the low awareness, because e-voting systems are not fully implemented in Jordan. Therefore, it is necessary to raise awareness of people to such technology, and try to know their perceptions on adopting it. Table 3. Means and standard deviations of survey items and variables Table 4. Cronbach’s alpha for all variables Table 5. Person bivariate correlation matrix system. The existence of severely high correlations (more than 0.8) indicates a multicollinearity issue, or redundancy between variables. The highest correlation was 0.604, which satisfies such issue. Multiple regression analysis was conducted to find variables, and if they were significant predictors of the the association among the independent dependent variable. Multiple regression analysis is based on assumption that there is a relationship between the independent variables and the dependent variable, and aims to explain the depend ent variable variance. The coefficient of determination (R’) is used to provide an indication about the goodness of fit of the model. The model significantly predicts ITU; R? is equal to 0.403 and it is good and appropriate for the analysis of the model. This means that the model has explained 40.3% o f the variance in ITU. Multiple regression technique was used to test the previously mentioned hypotheses and to find Table 7. Relationships and hypotheses testing results
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