Mohammed Alsaif
populations( Bryman, 2008). Quantitative research is also useful when attempting to quantify personal belief, behaviour and opinion in order to discover the attitudes and perceptions of populations towards certain phenomenon( Carter and Belanger, 2005). The society of Saudi is conservative by nature, which emphasis segregation by gender. This will influence the strategy of this research by avoiding direct contact in the method of data collection; otherwise the research will be biased towards one gender only. As this approach attempted to cover a wide geographical area and survey a large population to gain information from a diverse range of respondents ' characteristics and heterogeneous groups, this method was determined to be the most appropriate. The survey was posted on various social public networks for a period of six weeks and a total of 723 responses completed the survey.
5. Research finding
Preliminary checks were conducted to ensure that there was no violation of the assumptions of normality, linearity, homogeneity of variances and the data was checked for inconsistent and missing data which affect the analysing process using SPSS. Finally, a total of 692 usable completed questioners were selected for further analysing which consider as a reasonable response number. The reliability and validity tests are ones of the crucial tests which measure the property of the instrument especially in quantitative research. Cronback’ s alpha test was conducted in this research in order to measure the internal reliability and emerges an overall cronbach alpha value more than 0.872 which considered as a high internal reliability coefficient. In this study factor analysis and correlation matrix test was performed in order to evaluate the construct validity of the research. Moreover, the factor analysis will examine the difference between some new factors which have been added to the UTAUT such as information quality and system quality, trust of system and trust of the government.
The factor analysis found six components which influence the intension to use e‐Government behaviour. Most items were loaded perfectly under their proposed factor except three items which have cross loaded and discarded for further analysis. The first group of items are involved under effort expectancy( EE) factor and the second group are comprised under Trust of the government( TG) factor. Furthermore, the third group of components is regarding Performance expectancy( PE) factor while the forth group is referring to compatibility( CM) factor. The fifth group is referring to social influence( SI) factor and finally the sixth group is considering trust of the internet( TI) factor.
The second group of components which regards usage behaviour are loaded under three groups with some components were deleted because of cross or low loaded. The first group loaded both information quality( IQ) factor and the system quality( SQ) under one component. Therefore, these two factors were merged together under one components and called service quality( SQ). The second group is loaded under availability of resource( AR) factor. The third group of components is considering computer self‐efficacy( CS) factor.
A general linear module( GLM) contains three procedures which are regression, the analysis of variance( ANOVA), and the analysis of covariance( ANCOVA) was utilised in this section to predict the effect of the dependent variable in one side with an interaction between two independent variables on the other side which also called factorial ANOVA( Field, 2009). The Levine’ s test of equality was performed to assess the homogeneity of the variance( Field, 2009). The outcome reveal insignificant of the Levine’ s test among the intention to use e‐Government( F =. 861 and p >. 05) which affirmed that the error variance of the dependent variable is equal across the groups.
The finding reveals that performance expectancy is the strong predictor of the intention to use e‐Government followed by the trust of the internet. This result was expected as the Saudi culture has uncertainty avidness value and lack of sense of time which could be overcome by using e‐Government system. The compatibility factor has indirect relation with the intention to use e‐Government throughout the performance expectancy. In addition, social influence predicts the intention to use behaviour via the moderated variables which are internet experience and level of education. People with more experience and high level of education moderate negatively the influence of social influence towards the intention. Additionally, effort expectancy determines the intention negatively with more experience of the internet. On the other hand, the finding shows no significant correlation between awareness of the system and trust of the government with the intention to use e‐Government where( p >. 05).
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