Assessment of Knowledge Sharing Determinants in The Nigeria Universities Using Analytic Network Process

• Main Authors: Olamilekan Gbenga Oyenuga, Sulaimon Olanrewaju Adebiyi, Damilola Omolade Mustapha, Bukola Oluwadamilola Abimbola
• Format: Article
• Language: English
• Published: Czech University of Life Sciences Prague 2019-10-01
• Series: Journal on Efficiency and Responsibility in Education and Science
• Subjects: Analytic Network Process; Knowledge; Knowledge Sharing; Pairwise Comparison
• Online Access: https://doi.org/10.7160/eriesj.2019.120303

As a core process to knowledge management that aids innovation and regeneration of knowledge, knowledge sharing cannot be overemphasized owing to its importance in gaining competitive edge and sustaining competitive advantage. Therefore, this study examines factors influencing knowledge sharing using multi-criteria model. The research design is quantitative and analytical in nature through a survey of experts (Lecturers) with the usage of pairwise comparison questionnaire. Sample was drawn through multi-stage sampling procedure and 102 copies of questionnaires were retrieved and found fit for analysis. Data collected were modelled into clusters in line with ANP technique. The results show that institutional norms were better group of motivator for knowledge sharing while; individual barriers are more disastrous to knowledge sharing. Moreover, reflections of university mission, academic-industrial research and development excellence and quality teaching service delivery are both equally and moderately influenced by determinants of knowledge sharing. Therefore, based on the findings, academic staff are advised to be unbiased to knowledge sharing acts, while, policymakers are encouraged to demand the need for academic staff progress in career, intellectual benefits and financial rewards, and campaign against cultural differences and high job politics, in order to improve the flow of knowledge among academics for global competitiveness.