The Effect of Inventory Management on Performance of Selected Naivas Supermarkets in Nairobi City County, Kenya
DOI:
https://doi.org/10.70619/vol5iss2pp33-42Keywords:
Electronic supply chain management, inventory management practices, firm performanceAbstract
Electronic supply chain management has emerged to be a core area and source of implementation in contemporary business environments, especially the retail sector. Naivas supermarket has continued to rely on the traditional supply chain which has caused it not to achieve its optimum performance as concerns market penetration, sales revenue actualization, customer fulfilment, and right-time delivery. The study investigated the role of inventory management as an aspect of electronic supply management on the performance of the retail sector in Nairobi County, Kenya. The study settled on a descriptive research design to investigate a sample size of 137 staff members from 8 randomly selected Naivas supermarkets in Nairobi city county. Semi-structured questionnaires were utilized to gather first-hand data from targeted respondents. Reliability and validity in this study was also determined. Reliability was examined using a threshold of 0.70 of the Cronbach alpha value. The element of inventory management practices exceeded the threshold and thereby deemed reliable. Quantitative analysis revealed that inventory management (β=0.342, p=0.031) showed moderate impact, limited by partial manual processes. To enhance performance through inventory management practices, Naivas should prioritize full automation of inventory tracking using IoT and AI-driven systems, building on the moderate but significant impact found in the study. Implementing vendor-managed inventory with key suppliers would further optimize stock levels, leveraging the strong correlation between SRM and inventory efficiency. Additionally, staff training programs should be introduced to ensure seamless adoption of these technologies and address residual manual verification issues noted by respondents. Future research should explore long-term digital transformation outcomes and AI/blockchain applications in Kenya’s retail sector.
References
Aripin, N. M., Nawanir, G., Mahmud, F., Fauzi, M. A., Hussain, S., & Lee, K. L. (2023). Systematic literature review: Theory perspective in lean manufacturing performance. Management Systems in Production Engineering, 31(2), 230-241.
Bosibori, I. (2017). An Assessment of the Effect of Inventory Management on Performance of Supermarkets in Kisii Town: A Case of Tuskys Supermarket, Kisii Branch, Kisii County.
Burgos, D., & Ivanov, D. (2021). Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions. Transportation Research Part E: Logistics and Transportation Review, 152, 102412.
Cavalcante, I. M., Frazzon, E. M., FFigureini, F. A., & Ivanov, D. (2019). A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing. International Journal of Information Management 49, 86-97.
Emily, N. M., & Julius, D. M. (2021). Procurement Management Practices and Performance of Commercial State Agencies in Kenya.
Gatutha, P. G., & Namusonge, M. (2020). Competitive strategies and the performance of supermarkets in Nairobi City, Kenya. International Academic Journal of Human Resource and Business Administration, 3(9), 291-303.
Gupta, A., & Gupta, N. (2022). Research methodology. SBPD Publications.
Jin, Byoungho Ellie, and Daeun Chloe Shin. "Changing the game to compete: Innovations in the fashion retail industry from the disruptive business model." Business Horizons 63, no. 3 (2020): 301-311.
Kazancoglu, Y., Ekinci, E., Mangla, S. K., Sezer, M. D., & Kayikci, Y. (2021). Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics. Business Strategy and the Environment, 30(1), 71-91.
Kiarie, D., & Ndwiga, K. (2019). Influence of Procurement Methods on Supply Chain Performance in Devolved Governments in Kenya: A Case of Selected County Governments. Academic Journal of Social Sciences and Education, 7(1).
Kiarie, G. N. (2017). An assessment of inventory management and competitive advantage of modern retail firms in Kenya (Doctoral dissertation, United States International University-Africa).
Kurdi, B., Alzoubi, H., Akour, I., & Alshurideh, M. (2022). The effect of blockchain and smart inventory system on supply chain performance: Empirical evidence from the retail industry. Uncertain Supply Chain Management, 10(4), 1111-1116.
Lee, K., Azmi, N., Hanaysha, J., Alzoubi, H., & Alshurideh, M. (2022). The effect of the digital supply chain on organizational performance: An empirical study in Malaysia manufacturing industry. Uncertain Supply Chain Management, 10(2), 495-510.
Lin, M., Lin, C., & Chang, Y. S. (2021). The impact of using a cloud supply chain on organizational performance. Journal of Business & Industrial Marketing, 36(1), 97-110.
Mishra, S. B., & Alok, S. (2022). Handbook of research methodology.
Muogboh, O. S., & Ojadi, F. (2018). Indigenous logistics and supply chain management practice in Africa. In Indigenous Management Practices in Africa (Vol. 20, pp. 47-70). Emerald Publishing Limited.
Nzuma, B. M. (2022) Role of Strategic Supplier Relationship Management on Supply Chain Efficiency in Kenya’s Government Parastatal Sector.
Patel, M., & Patel, N. (2019). Exploring research methodology. International Journal of Research and Review, 6(3), 48-55.
Rejeb, A., Simske, S., Rejeb, K., Treiblmaier, H., & Zailani, S. (2020). Internet of Things research in supply chain management and logistics: A bibliometric analysis. Internet of Things, 12, 1003.
Sharma, M., Luthra, S., Joshi, S., & Kumar, A. (2021). Accelerating retail supply chain performance against pandemic disruption: adopting resilient strategies to mitigate the long-term effects. Journal of Enterprise Information Management, 34(6), 1844-1873.
Sodhi, M. S., & Tang, C. S. (2021). Supply chain management for extreme conditions: research opportunities. Journal of Supply Chain Management, 57(1), 7-16.
Waters, D. (2019). Supply chain management: An introduction to logistics. Bloomsbury Publishing.
Wieland, A. (2021). Dancing the supply chain: Toward transformative supply chain management. Journal of Supply Chain Management, 57(1), 58-73.
Yu, C., Qu, Z., Archibald, T. W., & Luan, Z. (2020). An inventory model of a deteriorating product considering carbon emissions. Computers & Industrial Engineering, 148, 106694.
Zimon, D., Tyan, J., & Sroufe, R. (2020). Drivers of sustainable supply chain management: Practices to alignment with un sustainable development goals. International Journal for Quality Research, 14(1).
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