Determining the Extent of Knowledge Management in Nigerian Universities: A Study of the Faculty of Science, University of Uyo, Nigeria

Idara O Akpabio, Peace E Udosen and Imaima I Akpabio
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Idara O Akpabio: Department of Geoscience, University of Uyo, Nigeria,
Peace E Udosen: Peace Polytechnic, Abak Study Centre
Imaima I Akpabio: Uyo High School, Akwa Ibom State Secondary Education Board, Nigeria

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 8, 2658-2675

Abstract: The study sought to know the extent of Knowledge Management (KM) practice in Nigerian Universities. Lack of adequate KM impedes on quality decision making. The aim was to sensitize institutions with particular reference to the Faculty of Science, University of Uyo, Nigeria to develop different aspects of KM skills to curb administrative bottlenecks. The qualitative method was used in this study. Extensive literature study was done to collect materials related to KM. Theories and concepts of KM were examined. The study determined various conceptual frameworks in terms of activities of the Faculty of Science. Data was collected through interviews, 150 participants in the Faculty were used. For testing of research questions, simple percentages and frequency counts was used. Results of the study show that KM is necessary to enhance smooth administration (Frequency 130, 86.67%). Furthermore, people (frequency 60, 40%) and culture, (frequency 45, 30%) constitute the major players in KM. From a frequency of 95 (63.33%). Faculty members with frequency of 120, 80% agreed that KM can contribute to the creation of a culture in the Faculty. This allows the institution to overcome the administrative bottlenecks, quicker problem-solving and increased rate of innovation. This study shows that KM can turn individuals’ learning into Faculty/institutions’ learning. It behooves therefore on the individual to be equipped, if his ideas must be institutions’ idea. When we are “selfish†it allows us to fill up, so we can pour to others. We therefore recommend the adopting of AI based KM system.

Date: 2024
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