Thank you for your efforts. However, there are vital issues that still need to revise.

1. I would like to ask the author/ authors (Many previous studies conducted such this study and they have applied linear and non-linear relationship, so what is the contribution of this study). If the author/ authors could make a high contribution to this study compared to the literature review.

2. The abstract of this paper is too long please summarize it.

3. Praphraph member 1 in your introduction needs to be re-write.
4. The author/ authors have to include the literature gap and criticize of literature in their introduction. Hence, it is important to explain the recommended solution.
5. In the Theoretical Foundation section please explain how your adopted theory is different from the unified theory of acceptance and use of technology and why you adopted that theory.
6. The hypothesis development could improve. As it presently stands, there is insufficient motivation for all hypotheses. Each needs to be motivated sufficiently, with sufficient literature backing its development.
7. On page 9 the author/ authors mentioned "The multivariate normality test outcomes confirmed that the data set was not as normal as Mardia's multivariate coefficient p-values were less than 0.05" However, this study conducted the statistical parametric tools. Morever, this study must re-analysis and get new results based on this issue.
8. Discussion is totally weak. In discussion, what I expect to see is that what are the plausible reasons behind obtaining these results? I couldn’t see this. Moreover, the validity and accuracy of the data should be discussed. The authors must comment on whether or not the results were expected and present explanations for the results; they must go into greater depth when explaining findings that were unexpected or especially profound. Moreover, in the discussion, authors should clearly state what their study adds to the body of the literature. In addition, the authors are recommended to mention what are the next steps in the research in this area. The last point is that in the discussion, the authors must compare/contrast their results with similar studies, mentioned in the literature.
9. Conclusion is weak. It is not aligned with the data. A conclusion must provide closure and drive the main points of your essay one last time. It’s the chance to impress and give readers an understanding of why your paper matters. In other words, your essay conclusion should answer the question, “So what?”