Supply chain management performance and logistics among selected small and medium-sized enterprises in Sagamu Local Government Area, Ogun State, Nigeria

Abstract

Small and medium-sized businesses in Nigeria are beginning to recognise the importance of supply chain management for economic growth, but they are still lagging behind in understanding the integrated supply chain dimensions that drive remarkable changes in business processes and yield positive outcomes for improved service quality, efficiency and cost reduction. The purpose of this study was to ascertain how supply chain management performance and logistics relate to particular small and medium-sized enterprises in Ogun State, Nigeria. The adoption of a descriptive survey methodology allowed for this. A systematic questionnaire was used to gather primary data. Both descriptive and inferential statistics were used to analyse the data that was gathered. The data were described and summarised using the descriptive analysis. The impact of the independent variable on logistics was evaluated using analysis of variance. The strategy and flexibility of the supply chain were used to gauge the effectiveness of supply chain management. The results demonstrate that logistics, as predicted by hypothesis one, has a major impact on supply chain flexibility. They also demonstrate that logistics, as predicted by hypothesis two, has a major impact on supply chain strategy. According to the study’s findings, performance evaluation is crucial for businesses in order to assess how well they are accomplishing their strategic goals, especially with regard to their supply chain and logistics operations. In order to gain a competitive edge and improve their business performance, the study suggested, among other things, that small and medium-sized enterprises embrace supply chain flexibility and make flexible, adaptable modifications to meet market demands. The study’s findings will provide manufacturers, researchers, scholars, policymakers, students, and anyone else interested in operations and production management with a better understanding of the effectiveness of comprehensive supply chain and logistics management performance metrics.