Authors : Christopher Petro Chimbuto

Volume/Issue : Volume 11 - 2026, Issue 2 - February

Google Scholar : https://tinyurl.com/8xhrmxm4

Scribd : https://tinyurl.com/ascb65xm

DOI : https://doi.org/10.38124/ijisrt/26feb1194

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : This study investigated inventory management challenges among Small and Medium Enterprises (SMEs) in Mzuzu, Malawi, where SMEs represent over 80% of informal employment yet face critical operational inefficiencies. Using a quantitative survey of 30 SME operators from retail (56.7%) and service (43.3%) sectors, the research employed the Economic Order Quantity (EOQ) model to analyse inventory management practices. Findings revealed that 63.3% of SMEs relied on manual tracking methods, generating stock discrepancies averaging 22%; financial constraints ranked 4.03/5 and supplier delays 3.55/5 as the most severe barriers; and 60% experienced monthly stockouts that directly impacted customer retention. Three context-specific solutions were developed: (1) liquidity-adjusted EOQ models incorporating Malawi's average 14-day supplier lead times; (2) mobile-based Just-in-Time (JIT) systems leveraging the country's 76% mobile money penetration; and (3) collaborative Vendor-Managed Inventory (VMI) frameworks. Pilot implementation with five SMEs demonstrated a 28% reduction in stockout frequency over three months. The study validated the Resource-Based View and extended the Technology Acceptance Model by identifying cost-effectiveness as the primary driver of tool adoption. Policy recommendations include government-led training, subsidies for mobile inventory tools, and establishment of municipal inventory hubs.

Keywords : Inventory Management; SMEs; Malawi; EOQ Model; Supply Chain Optimization; MSME Policy; Operational Efficiency; Developing Economies.

References :

1. Ansah, R. O., & Mensah, E. (2022). Ghana's SME training initiatives and operational efficiency. International Journal of Business Innovation, 15(3), 210–225. https://doi.org/10.xxxx/ijbi.2022.57931
2. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
3. Barros, C. P. (2021). Inventory management in small and medium enterprises: A systematic review. International Journal of Production Economics, 231, 107850. https://doi.org/10.1016/j.ijpe.2020.107850
4. Boardman, A. E., Greenberg, D. H., Vining, A. R., & Weimer, D. L. (2018). Cost-benefit analysis: Concepts and practice (5th ed.). Cambridge University Press.
5. Chauhan, S., Singh, R. K., & Singh, A. (2021). Demand forecasting and inventory management in SMEs: A review. International Journal of Logistics Systems and Management, 38(1), 1–20. https://doi.org/10.1504/IJLSM.2021.112345
6. Chirwa, E. W. (2019). Barriers to effective inventory management in SMEs: Evidence from Malawi. Journal of Small Business and Enterprise Development, 26(4), 523–540. https://doi.org/10.1108/JSBED-05-2018-0142
7. Chirwa, E. W., & Mgunda, M. (2020). Inventory challenges in Malawian agro-processing SMEs. African Journal of Agricultural Economics, 8(2), 45–60.
8. Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approach (4th ed.). SAGE Publications.
9. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
10. Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, phone, mail, and mixed-mode surveys: The tailored design method (4th ed.). Wiley.
11. Fombe, J., & Nkosi, T. (2022). Rural supply chain disruptions in Southern Africa. Journal of Transport and Supply Chain Management, 16(1), 1–12.
12. Ghadge, A., Dani, S., & Kalawsky, R. (2021). Supply chain risk management: Advanced tools, models, and developments. Springer.
13. Goldratt, E. M. (1990). Theory of constraints. North River Press.
14. Gupta, P., & Dutta, M. (2022). Inventory optimization in resource-constrained settings: Evidence from India and Malawi. International Journal of Operations Research, 19(1), 55–72.
15. Harris, F. W. (1913). How many parts to make at once. Factory, The Magazine of Management, 10(2), 135–136.
16. Heizer, J., Render, B., & Munson, C. (2017). Operations management (11th ed.). Pearson.
17. Jamieson, S. (2004). Likert scales: How to (ab)use them. Medical Education, 38(12), 1217–1218. https://doi.org/10.1111/j.1365-2929.2004.02012.x
18. Kamanga, D., & Maliro, C. (2021). Mobile technology adoption barriers in Malawian SMEs. Malawi Journal of Science and Technology, 12(1), 45–60.
19. Kavishe, N., & Chileshe, R. (2020). SME supply chain resilience in East Africa. African Journal of Logistics Management, 7(2), 88–104.
20. Khan, M., Rahman, S., & Islam, T. (2022). Liquidity-adjusted EOQ models for cash-constrained SMEs. International Journal of Production Economics, 245, 108402. https://doi.org/10.1016/j.ijpe.2022.108402
21. MACRA. (2022). Malawi mobile penetration and fintech adoption report. Malawi Communications Regulatory Authority.
22. Malawi National Statistical Office. (2018). Malawi SME survey report. Government of Malawi.
23. Manda, M. (2020). Challenges in demand forecasting among SMEs in Malawi: A mixed-methods study. African Journal of Business Management, 14(3), 45–56. https://doi.org/10.5897/AJBM2019.8953
24. Manda, S., & Gondwe, G. (2020). Research ethics for African SMEs. Journal of Business Ethics, 45(3), 201–215.
25. Ministry of Industry, Trade and Tourism (MIT&T) Malawi. (2019). Micro, Small and Medium Enterprise (MSME) Policy. Government of Malawi.
26. Mwale, H., & Banda, L. (2021). EOQ adaptations for informal supply chains in Sub-Saharan Africa. Journal of African Business, 22(3), 345–360.
27. Ngoma, M., Kaunda, E., & Phiri, J. (2020). Low-cost inventory solutions for Zambian SMEs. African Journal of Management, 8(2), 112–130.
28. Nkhoma, B. (2021). Methodological challenges in Malawian SME research. Malawi Journal of Social Science, 10(1), 33–48.
29. O'Reilly, C. A. (2020). The importance of inventory management in SMEs. Journal of Business Research, 116, 123–130. https://doi.org/10.1016/j.jbusres.2020.05.012
30. Ohno, T. (1988). Toyota production system: Beyond large-scale production. Productivity Press.
31. Patel, R., Mzumara, M., & Bello, A. (2023). Lean inventory practices in East African SMEs. Journal of Small Business Strategy, 33(1), 1–15.
32. Phiri, M. (2018). The impact of government initiatives on technological adoption in SMEs in Malawi. Malawi Journal of Business, 5(1), 12–25.
33. Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson.
34. Sodhi, M. S., & Tang, C. S. (2020). The role of inventory management in small and medium enterprises: A systematic review. International Journal of Production Research, 58(12), 3675–3690. https://doi.org/10.1080/00207543.2020.1711234
35. UNCTAD. (2021). Inventory management and customer retention in African markets. United Nations Conference on Trade and Development.
36. Uwitonze, E., & Kabera, J. (2021). Policy-driven inventory management improvements in Rwandan SMEs. Journal of African Development, 23(2), 75–92.
37. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified theory of acceptance and use of technology (UTAUT2). MIS Quarterly, 40(1), 283–301. https://doi.org/10.25300/MISQ/2016/40.1.12
38. World Bank. (2022). Logistics Performance Index (LPI): Malawi country profile. https://lpi.worldbank.org