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were used to assess the total contribution of the independent variables The ANOVA
table presented the Ftest and level of significance for each step generated, reporting the
degreetowhichtherelationshipwaslinear Finally,thesetofcoefficientswasexamined
to considerthe standardizedcoefficients ß , the tvalues, andsignificancevalues And
the significance level of the path coefficients Whereas the size of the Beta, weights
indicatethestrengthoftheirindependentrelationships Table showsa summaryof
the results
Table 3 : Summary of the results
Sr. H No Result R2 Sig. Beta Pearson
correlation
Information
1 quality → the use→ P<0.01 support 0.58 0.007 0.541 **0.767
the use
Information
2 quality → user P<0.01 support 0.49 0.021 0.221 **0.773
satisfaction
System
3 quality →intension P<0.01 support 0.61 0.042 0.544 **0.800
to use →the use
System
4 quality →user P<0.01 support 0.33 0.008 0.461 **0.506
satisfaction
Service quality →the
5 intension to use P<0.01 support 0.39 0.009 0.219 **0.632
→the use
Service
6 quality →user P<0.01 support 0.45 0.003 0.218 **0.715
satisfaction
Support quality →
7 the intension to use P<0.01 support 0.61 0.042 0.534 **0.821
→the use
8 Support quality→ P<0.01 support 0.42 0.020 0.214 **0.760
user satisfaction
9 Use → user P<0.01 support 0.61 0.042 0.532 **0.906
satisfaction
10 Use → cloud P<0.01 support 0.55 0.034 0.501 **0.501
computing benefit.
User **0.569
11 satisfaction → cloudP<0.01 support 0.91 0.081 0.71
computing benefit
**Correlation is significant at the 0.01 level.
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