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    Transparent Peer Review By Scholar9

    Opinion Analysis for various Security Factors to Adopt the Cloud Based System

    Abstract

    The cloud computing is now a technological aspect which gives support of all essential tools and infrastructure to manage the soft task with minimum computing infrastructure along with the internet facilities. Despite ample amount of resources there are some key factors which are playing key role to accept and manage the cloud in the regular practice. The security is one of the notable concern which plays crucial role in the adoption of the cloud services by the novel user as well as expert of the cloud services. The present study is an attempt to observe the opinion of the respondents in order to identify the significance of various factors with respect of adopting cloud based system. There are three major factor group was formed as per the similarity of factor nature and examine the synchronization among them. The result of the similarity index is the focus point of the study which shows the acceptability of the cloud based system with available key factors.

    Reviewer Photo

    Phanindra Kumar Kankanampati Reviewer

    badge Review Request Accepted
    Reviewer Photo

    Phanindra Kumar Kankanampati Reviewer

    10 Oct 2024 10:49 AM

    badge Approved

    Relevance and Originality

    Methodology

    Validity & Reliability

    Clarity and Structure

    Results and Analysis

    Relevance and Originality

    The study addresses a pertinent issue in the current technological landscape, where cloud computing is increasingly adopted by organizations for its flexibility and scalability. The exploration of factors influencing the acceptance and management of cloud services is highly relevant, especially given the growing concerns about security and data privacy. However, the originality of the research could be enhanced by including innovative frameworks or models that specifically address the challenges of adopting cloud computing, rather than merely identifying existing factors.


    Methodology

    The methodology appears to be focused on gathering opinions from respondents to assess the significance of various factors related to cloud adoption. However, the specifics of how data were collected (e.g., surveys, interviews, etc.) and analyzed (e.g., statistical methods) are not mentioned. A detailed methodology section is essential to ensure transparency and reproducibility of the findings. Furthermore, discussing the sample size and demographic characteristics of the respondents would strengthen the validity of the conclusions drawn.


    Validity & Reliability

    The validity of the study depends on the robustness of the data collection methods and the representativeness of the sample. Without clear details on the methodology, it is challenging to assess the reliability of the findings. To improve reliability, the study should consider triangulating data sources, such as combining qualitative interviews with quantitative surveys. Additionally, addressing potential biases in the sample selection or data collection process would enhance the overall credibility of the research.


    Clarity and Structure

    The article is generally structured but could benefit from improved clarity. Some sentences are lengthy and complex, which may hinder comprehension. For example, breaking down the discussion of key factors and their significance into clearer subsections would help readers better follow the argument. Additionally, the use of headings to delineate sections such as introduction, methodology, results, and conclusion would improve the overall organization of the paper.


    Result Analysis

    The results are focused on the similarity index to gauge the acceptability of cloud-based systems, which is a valuable metric. However, the analysis would be more impactful with a deeper exploration of what these results imply for cloud service providers and users. Discussing how each factor group influences decision-making and acceptance of cloud services, along with practical examples or case studies, could provide more context and relevance to the findings. Including a section that offers recommendations based on the results would also enhance the utility of the study for practitioners in the field.

    Publisher Logo

    IJ Publication Publisher

    Thank You Sir

    Publisher

    IJ Publication

    IJ Publication

    Reviewer

    Phanindra Kumar

    Phanindra Kumar Kankanampati

    More Detail

    Category Icon

    Paper Category

    Computer Engineering

    Journal Icon

    Journal Name

    IJRAR - International Journal of Research and Analytical Reviews External Link

    Info Icon

    p-ISSN

    2349-5138

    Info Icon

    e-ISSN

    2348-1269

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