Adoption of Inventory Information Systems and Warehouse Performance: Empirical Evidence from the Medical Stores Department, Tanzania

Authors

  • Prosper P. Mmari Tanzania Institute of Accountancy
  • Dr. Mwita Sospeter Tanzania Institute of Accountancy

DOI:

https://doi.org/10.47604/ijscm.3941

Keywords:

Inventory Information Systems, Warehouse Performance, User Efficiency, Error Reduction, System Integration

Abstract

Purpose: This study examined the influence of inventory information systems on warehouse performance at the Medical Stores Department (MSD), Tanzania. Specifically, the study assessed user efficiency, error reduction, and system integration as key dimensions of inventory information systems affecting warehouse operations.

Methodology: The study employed a quantitative approach and descriptive research design. The target population consisted of 100 employees from the Procurement Management Unit and warehouse departments at MSD Headquarters and Mabibo Zonal Office. A sample of 80 respondents was selected using stratified and simple random sampling. Data were collected through structured questionnaires using a five-point Likert scale and analysed using IBM SPSS Version 28. Multiple regression analysis was applied to determine the effect of inventory information systems on warehouse performance.

Findings: The findings revealed that inventory information systems had a positive and statistically significant effect on warehouse performance (β = .360, t = 3.326, p = .001). Effective system utilization improved transaction speed and accuracy, reduced manual recording errors, strengthened stock accuracy, and enhanced information flow between procurement and warehouse functions. System integration also supported real-time stock tracking and inventory monitoring.

Unique Contribution to Theory, Practice and Policy: The study recommends strengthening user capacity, improving automated inventory controls, and enhancing integration between EPICOR-10, eLMIS, procurement, warehousing, inventory control, and distribution functions. These measures are expected to improve inventory visibility, reduce stock discrepancies, strengthen coordination, and enhance warehouse performance at MSD.

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References

Amirrudin, A. H., Kamaruddin, N. S., & Ahmad, R. (2023). Improving warehouse efficiency through effective inventory management practices. Social and Management Research Journal, 20(2), 45–58.

Dewy, C. K., Prambudiab, Y., & Kumalasarib, I. (2025). Design of inventory information system model on smart warehouse management system (WMS) based on artificial intelligence (AI) with integration of waterfall method and design thinking to optimize inventory accuracy. Eduvest-Journal of Universal Studies, 5(10), 11898-11911. https://doi.org/10.59188/eduvest.v5i10.51297

Apriyanti, D., & Bernanda, R. (2023). Inventory information system development to improve goods data collection processes. Journal of Information Systems and Technology, 7(1), 21–32.

Boche, B., Dinsa, T., Bayleyegn, Z. W., & Bekele, A. (2026). The effect of pharmaceutical supply chain management practice on operational performance: the case of the central clusters and central Ethiopian pharmaceutical supply service. Journal of Pharmaceutical Health Care and Sciences, 12(1), 13. https://doi.org/10.1186/s40780-025-00533-3

Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. Sage Publications.

Buba, M. G., Das, D. P., & Ghadai, S. K. (2019). The effect of integrated warehouse operation efficiency on organizational performance. International Journal of Recent Technology and Engineering, 8(2), 145–152.

Bulula, N., Mdegela, R., & Simba, D. (2020). Assessment of logistics performance in public health supply chains in Tanzania. African Journal of Health Systems, 10(3), 89–102.

Creswell, J. W., & Creswell, J. D. (2021). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.

Destro, F., Costa, M., & Pereira, J. (2023). Inventory record accuracy and warehouse performance in distribution centers. International Journal of Logistics Research and Applications, 26(4), 511–525.

Etikan, I., & Bala, K. (2017). Sampling and sampling methods. Biometrics & Biostatistics International Journal, 5(6), 215–217.

Faisal, M., Rahman, A., & Yusuf, S. (2024). Web-based inventory information systems and operational performance in warehouse environments. Journal of Information Systems Applications, 14(2), 102–115.

Gari, T. (2024). Information technology utilization and warehouse operational performance. Journal of Supply Chain Innovation, 6(1), 44–59.

Genevieve, M., & Akumuntu, J. (2024). Effect of warehousing management on supply chain performance. African Journal of Empirical Research, 5(1), 55–68.

Githendu, J., Mwangi, P., & Karanja, S. (2020). Digital health logistics systems and commodity availability improvement. African Journal of Supply Chain Management, 4(2), 11–20.

Hailu, G., Tesfaye, B., & Mekonnen, A. (2023). Role of ICT integration in improving pharmaceutical supply chain performance. Journal of Global Health Logistics, 11(2), 70–83.

Kalumanga, R., & Mwita, K. (2024). Inventory monitoring systems and healthcare supply chain performance in East Africa. African Journal of Supply Chain Management, 8(2), 21–34.

Kumar, S., Patel, R., & Shah, P. (2023). Real-time inventory tracking systems and warehouse productivity improvement. International Journal of Industrial Engineering and Management, 14(1), 63–78.

Poornima, G., Vinay, J., Karthikeyan, P., & Jinesh, V. N. (2024). Inventory tracking via IoT in the pharmaceutical industry. Intelligent wireless sensor networks and the internet of things, 147-204.

Wynn, S. (2021). The financial impact of manual inventory record errors.

Mahat, N., Rahim, A., & Rahman, H. (2024). Descriptive research design in operational performance studies. Journal of Social Science Methodology, 10(2), 88–99.

Masudin, I., Sumah, B., & Zulfikarijah, F. (2021). Integration of information technology in warehouse operations and supply chain performance. Journal of Logistics and Supply Chain Management, 9(3), 120–134.

Mathias, R., Mwakyeja, B., & Kimario, J. (2024). Stockout challenges and pharmaceutical availability in Tanzanian health facilities. Tanzania Journal of Health Supply Chain Management, 6(1), 15–28.

Mohammed, A., Noor, M., & Aziz, N. (2025). Digital warehouse technologies and operational efficiency improvement. International Journal of Warehouse Management, 17(1), 45–60.

Morton, J. (2025). Quantitative approaches in logistics performance measurement. Journal of Operations Research Methods, 12(1), 22–36.

Mwakyeja, B., & Kimario, H. F. (2024). Save life! Optimization of dynamics for pharmaceutical distribution performance. Management Matters, 21(2), 93-116.

Rahwani, A., Sari, D., & Putra, R. (2023). Integration of accounting and inventory information systems to enhance employee productivity. International Journal of Business Information Systems, 11(3), 155–168.

Rezigalla, A. (2020). Reliability and validity in questionnaire-based research. Sudan Journal of Medical Sciences, 15(2), 186–200.

Sudarmi, S., & Sunaryo, H. (2024). Enterprise resource planning systems and warehouse operational performance. Journal of Enterprise Systems, 16(2), 90–105.

Yusof, M. S., Rahman, S. N. M. S. A., Seman, S. A., & Zahari, F. M. (2025). The impact of warehouse management systems on supply chain resilience and business competitiveness in a rapidly changing global market. International Journal of Business and Technology Management, 7(2), 332-345.

Vaičiūtė, A., & Katinienė, A. (2025). Improving warehouse information system usability and operational efficiency. Baltic Journal of Logistics Management, 7(1), 33–48.

Van Teijlingen, E., & Hundley, V. (2020). Pilot studies in research methodology. Nursing Standard, 35(6), 65–70.

Yoraeni, L., Santoso, B., & Prasetyo, H. (2025). Web-based inventory systems and warehouse coordination performance. Journal of Digital Supply Chain Systems, 4(1), 50–63.

Tong, C. (2023). An efficient intelligent semi-automated warehouse inventory stocktaking system. arXiv preprint arXiv:2309.12365.

Harfi, J. (2025). Warehouse Efficiency Improvement through Inventory Management Techniques: Case Analysis.

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Published

2026-08-21

How to Cite

Mmari, P., & Mwita, S. (2026). Adoption of Inventory Information Systems and Warehouse Performance: Empirical Evidence from the Medical Stores Department, Tanzania. International Journal of Supply Chain Management, 11(1), 68–83. https://doi.org/10.47604/ijscm.3941

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Articles