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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      07 April 2023, Volume 38 Issue 2   
    Article

    EMPLOYEE RELATIONS STRATEGIES AND THE INDUSTRIAL CHALLENGES OF NON-TEACHING STAFF OF FEDERAL UNIVERSITIES IN SOUTH-EAST NIGERIA
    Okezie Kristopher Onyekachi, Justitia Odinakachukwu Nnabuko, Joseph Ikechukwu Uduji, Chiemelie Benneth Iloka (Corresponding)
    Journal of Data Acquisition and Processing, 2023, 38 (2): 2666-2676 . 

    Abstract

    This study aims to assess the relationship between employee relation and industrial challenges. To do this, 446 responses were gathered among non-teaching staff in federal universities across south-east Nigeria. Findings from the study show that labour union, staff training, and information and communications has strong relationship with industrial challenges. Therefore, it is concluded that in order to ensure that non-teaching staff are happy at federal universities, they should be allowed to: fairly participate in labour unionism, be put through different training and development programmes, and offered quality communication and information about events in both the institution and academic world in general.

    Keyword

    Communication, Labour Union, Information, Staff Training, Universities


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ISSN 1004-9037

         

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