Mohammed Alsaif
The Levine’ s test of equality was performed to assess the homogeneity of the variance and reveal insignificant of the Levine’ s test among the usage behaviour of e‐Government( F =. 514 and p >. 05) which affirmed that the error variance of the dependent variable is equal across the groups.
On the other hand, intention to use behaviour, computer self‐efficacy and availability of resources found to be significant predictors of the usage behaviour. The usage of e‐Government system behaviour increased as the intention behaviour, computer self‐efficacy and availability of resources increased. Figure 2 below illustrate the final empirical research model.
Figure 2: Research adoption model
6. Discussion and conclusion
The culture characteristics of the country have an impact on the result which reflects on few females participants due to the conservative society and lack of interesting of this subject for the females as they fully depend on theirs men relatives to deals with government transactions. On the other hand males account for 74 per cent of those who never used the system before which explained by the separated gender and driving ban motivate females to conduct e‐Government transactions from home. Moreover, the significant correlation between performance expectancy and trust with the intention to use was expected as the Saudi culture has uncertainty avidness value( face to face preference) and lack of sense of time which could be overcome by using e‐Government system. Finally, the youth population of the country neglect the influence of age as a moderated variable. Religious adherence, collectivism and tribal systems influence the culture of Saudi people, which often make them reluctant to change, but e‐Government could be compatible with this culture if cultural issues are considered when promoting the adoption of e‐Government.
The findings from the research are anticipated to support policy makers and governments in tailoring e‐ Government services to the requirements and choices of citizens, and to reflect users’ traits and to encourage a high level of adoption.
The current study used a statistics quantitative approach to investigate the adoption factors from the citizens’ viewpoint and the future works could investigate in depth the research finding using the qualitative approach to expand our understanding of the new area of citizens’ adoption of e‐Government.
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