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    Cloud computing services in Africa Nazarene University: An evaluation of affecting factors and proposed model for adoption

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    Thesis (1.297Mb)
    Date
    2021-02
    Author
    Mutata, Mary Nzisa
    Type
    Thesis
    Language
    en
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    Abstract
    Cloud computing is an internet based, remote driven and service oriented technology emerged to provide software as a service among others. Adopting cloud computing software as a service (SaaS) in Africa Nazarene University (ANU) libraries will significantly reduce the cost of maintaining systems; expose library users to multivariant information resources and optimize library services. This research study was guided by the following objectives: to assess the technological, organizational and environmental factors affecting the full adoption of SaaS at ANU, and; to investigate the different types of service users, assess their needs, and to recommend an adoption strategy of SaaS model for ANU libraries. The study adopted a descriptive survey design through the use of semi-structured questionnaires and interview guides. Purposive sampling method was used to select five library users from ANU for interview. In addition, library users from the student body were selected through stratified random sampling method and issued with questionnaires. A total of 97 respondents were used as the sample size in this study. The study utilized quantitative and qualitative approaches for data analysis, which was presented using tables and graphs. Qualitative data was analyzed as per the order of questions in the questionnaires and then computed using SPSS software. The research findings indicated that the most significant factors was organizational factors (0.216). On this basis, the researcher was able to recommend that the organization of the university should be encouraged to support the deployed of SaaS in the university.
    URI
    http://repository.anu.ac.ke/handle/123456789/746
    Publisher
    Africa Nazarene University
    Subject
    Cloud computing
    Model for adoption
    Collections
    • Computer Science and Information Technology [13]

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