Browsing by Author "Kogei, Gillian"

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    Electronic Supply Chain Management Practices and Performance of Large Supermarkets: A Case of Selected Naivas Supermarkets in Nairobi City County, Kenya
    (Kenyatta University, 2025-09) Kogei, Gillian
    Electronic supply chain management has emerged to be a core area and source of implementation in contemporary business environments, especially the retail sector. A few supermarkets in Kenya have adopted modern supply chain management practices to enhance efficiency, reduce costs, and improve customer satisfaction. Carrefour Kenya, operated by Majid Al Futtaim, is a prime example, leveraging advanced inventory management systems, automated warehousing, and data-driven demand forecasting to optimize its supply chain. Similarly, QuickMart, one of Kenya’s fastest-growing supermarket chains, has invested in cloud-based supply chain management software to enhance real-time inventory tracking and reduce stockouts. Even smaller players like Eastmatt Supermarkets are adopting point-of-sale analytics to refine procurement strategies. The choice of Naivas is because of its insistence on traditional supply chain management methods, considering that it is also one of Kenya's big players, which causes it to experience issues in market penetration, revenue, and delivery timelines. The major study’s aim was to establish electronic supply chain management and how this reflects on the performance of the retail sector in Nairobi. The study considered these objectives: to investigate the role of inventory management, how supply supplier relationship management, and cloud-based supply management on the performance of the retail sector in Nairobi County, Kenya. The study utilizes lean theory, contingency theory, and adaptive structuration theory to anchors its constructs and concepts explaining the objectives. The study settled on a descriptive research design to investigate a sample size of 137 staff members from 8 randomly selected supermarkets in Nairobi city county including Naivas supermarket. Semi-structured questionnaires were utilized as research tools to gather first-hand data from targeted respondents as the research tool. Reliability and validity in this study was also determined. Reliability was examined using a threshold of 0.70 of the Cronbach alpha value. All the elements of the variables exceeded the threshold, and thereby deemed reliable. Quantitative analysis revealed cloud-based SCM as the strongest predictor (β=0.416, p=0.007), significantly enhancing real-time collaboration (M=3.23) despite connectivity challenges. SRM practices (β=0.418, p=0.043) improved supplier relationships but faced adoption gaps among smaller vendors, while inventory management (β=0.342, p=0.031) showed moderate impact, limited by partial manual processes. To optimize supply chain performance, supermarkets in Nairobi City County should prioritize full-scale adoption of cloud-based SCM, implementing hybrid cloud solutions to mitigate downtime risks while leveraging its proven benefits in real-time collaboration and demand forecasting. The supermarket should simultaneously invest in supplier development programs to bridge technological gaps among smaller vendors, ensuring seamless integration of e-SCM tools across its supply network. Future research should explore long-term digital transformation outcomes and AI/blockchain applications in Kenya’s retail sector