Department of Business Administration

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Browsing Department of Business Administration by Subject "Analytical Network Process"

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  • Item
    Open Access
    Assessment of Knowledge Sharing Factors among Academic staff in Nigerian Universities
    (Journal on Efficiency and Responsibility in Education and Science, 2019) Oyenuga, O.G.; Adebiyi, S.O.; Mustapha, D.O.; Abimbola, B.O.
    As a core process to knowledge management that aids innovation and regeneration of knowledge among individuals within institutions, knowledge sharing cannot be overemphasized owing to its importance in gaining a competitive edge and sustaining competitive advantage. Therefore, as the citadel of learning, academic institutions need to measure the factors that influence knowledge sharing among their scholars using approved multi-criteria models such as the analytic network process (ANP) in order to formulate and implement research-driven strategies for sharing knowledge in a way that global competitiveness will be enhanced. The research design is quantitative and analytical in nature through a survey of experts (Lecturers) with the usage of a pairwise comparison questionnaire. The sample was drawn through a multi-stage sampling procedure and 102 copies of questionnaires were retrieved and found fit for analysis. In addition, Ardichvili’s framework of factors contributing to knowledge sharing was adapted within the Nigerian cultural setting in order to widen the scope of knowledge. Data collected were modelled into clusters in line with the ANP technique. The results show that respondents believe that institutional norms factors were better motivators for knowledge sharing of which institutional culture stand out. In spite of the available organizational barriers, academia believes that individual barriers are disastrous to knowledge sharing.
  • Item
    Open Access
    Multi-criteria Decision Analysis of Supply Chain Practices and Firms Performance in Nigeria
    (Logistics, supply chain, sustainability and global challenges, 2021-12) Amole, B.B.; Adebiyi, S.O.; Oyenuga, O.G.
    Companies are facing numerous pressures and challenges in order to be competitive in the market and meet the requirements of their customers which require an improvement in the supply chain practices of the firms to be more effective and efficient for sustainable competitive advantage. This study examines the use of a multi-criteria decision-making method using the analytic network process (ANP) to estimate how supply chain activities of the selected manufacturing firms’ influences its firm performance in other to enhance the satisfaction of customers. The population of the study is the manufacturing firms quoted in the Nigeria stock exchange. An ANP-based questionnaire was administered to Managers of selected manufacturing firms for pairwise comparison of supply chain factors relative influences and dependencies on their customers. A nonlinear network model was built to capture all the factors of supply chain practices and firms performance into clusters, nodes and dependences for the purpose of estimating various influences of supply chain practices on the performance of the various companies studied. Data collected were analysed using the software of Super decision 3.0version. The results revealed factors of supply chain practices that have a great connection with one another and strong relationship indicating that without the implementation of the key factors of the supply chain there would not be a significant improvement in the performance of the organisation which will also affect the desire of the customers. The ANP model has helped to show the interdependencies and feedback among the various factors of practices of the supply chain to augment the level of performance of the firms.