• INVESTIGATION OF LIBRARY AUTOMATION IN ACADEMIC LIBRARY: A CASE STUDY OF FEDERAL UNIVERSITY OYE-EKITI, EKITI STATE, NIGERIA

    Author(s):
    Elijah Olawale Azeez (see profile)
    Contributor(s):
    Oluwole Akanmu Odunola
    Date:
    2021
    Subject(s):
    Libraries--Automation, Academic libraries, Automation, Awareness, Integrated library systems (Computer systems)
    Item Type:
    Article
    Tag(s):
    IFLA-LRM, Library
    Permanent URL:
    https://doi.org/10.17613/56hr-8q93
    Abstract:
    Library Automation is expected to embrace all the aspects of library operations and services. Most Nigerian academic libraries have not been able to fully automate all their services as a result of various factors. The need to identify the various aspects of library services and identify the factors affecting the implementation of automation in Academic Libraries informed the decision of the researchers to conduct this study. The study is significant to LIS study, Policy, theory and literature as it adds to literature on automation in Nigerian academic libraries. The design of the study was descriptive survey research. This study evaluated automation in the Federal University Oye-Ekiti library. The structured questionnaire was used to collect data from all staff working in the Library. Data obtained was analyzed using SPSS 15.0. The findings revealed that Library Staff have a high degree of awareness of library automation in the Library. It was also discovered that all aspects of library services have been partly automated Federal University Oye- Ekiti Library. In addition, it was also observed that the factors affecting the implementation of automation in the library includes lack of funds, lack of requisites skills etc. It was therefore recommended that Library staff should be encouraged to start experimenting with all the various modules embedded in the Library Management System for all library operations.
    Metadata:
    xml
    Status:
    Published
    Last Updated:
    2 months ago
    License:
    Attribution
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