Determine the direction and magnitude of the relationship between variables.

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to make the research unique, we are going to particularly focus on educatuon staff ( employee).or in university
Because they will be more effective in the society to adopt s-commerce
It will add more value and meaning to the research.
In hope details about jordan internet users and some statistics about e-commerce
This study employed the theory of UTAUT2 models with
several other variables. The total participants in this questionnaire were 165 people: lecturers, teachers, and students at the university and were randomly
drawn.
As far as data analysis and statistics tools are concerned, descriiptive statistics (e.g. means, variances, and standard deviations) will be used to abridge data from demographic variable and social media marketing effort.
Secondly, exploratory factor analysis (EFA) will be executed as data reduction technique for the variables using utaut2 model with new variables cov19 awareness affect on adoption s -commerce.
Third, a Cronbach‘s alpha coefficient for each of the five measures will be considered to assess reliability as well as test discriminant validity of the constructs.
Fourth, a Pearson correlation coefficient will be calculated to determine the direction and magnitude of the relationship between variables. Fifth, confirmatory factor analysis (CFA) will be conducted to test the measurement model and ensure convergent validity of the constructs. Finally, the hypothesized relationships proposed in the present study will be tested through structural equation modeling (SEM

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