INFLUENCE OF SUPPLY CHAIN AUTOMATION ON INVENTORY CONTROL IN PUBLIC ACADEMIC INSTITUTIONS. A CASE OF KAIMOSI FRIENDS UNIVERSITY COLLEGE, KENYA

JOSEPHINE LUBALE RAPANDO, DR. DENNIS JUMA (Ph.D)

Abstract


This study sought to investigate the influence of supply chain automation on inventory management in KAFUCO, Kenya. The study used descriptive survey design and census method to select all targeted respondents in inventory management at KAFUCO, comprising procurement officers, auditors, financial officers, accountants, ICT officers, storekeepers and consumer department heads. The researcher used systematic questionnaires to gather the primary information. Inferential statistics such as correlations, linear and multiple analyses was computed by SPSS 24. The findings were that Kaimosi University College's inventory control was strongly influenced by the electronic store management. The regression results also revealed a positive and important relationship between the electronic store management and the inventory control. Results revealed that electronic supplier Management highly influenced inventory Control of Kaimosi University College. The correlation results revealed that Electronic Supplier Management had a positive and significant relationship with inventory Control measured by inventory turnover. Results revealed that electronic inventory control highly influenced the inventory Control of Kaimosi University College. The correlation results revealed that Electronic inventory control had a negative and significant relationship of Kaimosi University College measured by inventory turnover. Results revealed that Inventory Information System highly influenced the inventory Control of Kaimosi University College. The results of the analysis showed that the inventory information system had a positive and meaningful inventory management relationship calculated by the turnover of the inventory. The study recommended that managers of Kaimosi University College be trained in electronic store management to establish an effective electronic system to improve inventory control. The management should also consider pursuing professional advice on electronic device management. The study recommended that Kaimosi University College capitalize on the electronic supplies available for cost-saving purposes. This will make them operationally and financially viable. Kaimosi University College was recommended to enhance its electronic inventory management by recruiting qualified staff and providing on-the-job training courses to fully educate staff on device matters. The study recommended that Kaimosi University College should give up-to-date and faster inventory information system for easy operations. That would make time and efficiency savings.

Key Words:  Electronic Store, Electronic Supplier, Electronic Inventory, Inventory Information System

CITATION: Rapando, J., & Juma, D. (2020). Influence of supply chain automation on inventory control in public academic institutions. A case of Kaimosi Friends University College, Kenya. The Strategic Journal of Business & Change Management, 7(3), 1370 – 1403.


Full Text:

PDF

References


Alan H. and Remko V. (2012), Logistics Management and Strategy: Competing Through The Supply Chain, Prentice Hall, London

Bailey, P., & Farmer, D. (2012). Managing materials handbook. Aldershot: Gower Press.

Brason, S. (2015). Strategic Operations. Management, (2nd ed), Butterworth, Heinemann, UK

Boute, R., Lambrecht, M., Lambrechts, O. and Sterckx, P. (2016), “An analysis of inventory Turnover in the Belgian manufacturing industry, wholesale and retail and the financial impact of inventory reduction”, in Proceedings of the 14th 2016 Euroma Conference, Strathclyde,

Bozarth, C. C., Handfield, R. B., & Weiss, H. J. (2018).Introduction to operations and supply chain management. Upper Saddle River, NJ: Pearson Prentice Hall.

Brason Steve, (2015), Strategic Operations Management, Second Edition, Butterworth, Heinemann, UK.

Chen, H., Frank, M. Z., & Wu, Q. W. (2017).What actual happened to the inventories of American companies between 1981 and 2014? Management sciences, 51, 1051- 1031

Cooper, D. R. & Schindler, P. S. (2014). Business research methods (12th ed.). New York: McGraw-Hill/Irwin.

David, B. (2016), The Why of Inventory control , Pearson Education Ltd. England

David, B. (2019). The Why of Inventory control . Pearson Education Ltd. England

Das, K. (2014). Buyer-Seller Fuzzy Inventory Model for a Deteriorating Item with Discount. Int J Syst Sci, 35(8): 457–466.

Devaraj, S., L. Krajewski, and J. C. Wei. (2016). Impact of eBusiness Technologies on Operational Performance: The Role of Production Information Integration in the Supply Chain. Journal of Operations Management 25 (6): 1119–1216.

Frohlich, M. T. 2017. E-Integration in the Supply Chain: Barriers and Performance. Decision Sciences 33 (4): 537–556.

Frohlich, M. T., and R. Westbrook. 2017. “Demand Chain Management in Manufacturing and Services: Web-Based Integration, Drivers and Performance.” Journal of Operations Management 20 (4): 729–745.

Green, K.W. Jr & Inman, R.A. (2015), “Using a just-in-time selling strategy to strengthen supply chain linkages”, International Journal of Production Research, 43(16). 3437-3453.

Godwin J. (2018), Basic Materials Management, 15th Edition, Tata McGraw-Hill, New Delhi, India.

Guiffrida A (2019). Fuzzy inventory models, in Inventory control : Non-Classical Views, M. Y. Jaber, Ed., ed: Boca Raton: CRC Press (173-198).

Guiffrida, A and Nagi R (2019), "Fuzzy set theory applications in production management research: a literature survey," Journal of intelligent manufacturing, vol. 9 (39-56).

Halldorsson, M. (2017). Aligning supply chain strategies with product uncertainties. California Management Review, 44(3), 105-19

Harris F W (1990). How many parts to make at once," Factory: The Magazine of Management, vol. 10, (135-136).

Kitheka, S.S., & Ondiek, G.O. (2014).Inventory control Automation and the Performance of Supermarkets in Western Kenya.International Journal of Research in Management & Business Studies, 1(4.), 9-18.

Lam, S.M., and Wong, D.S. (2016). A Fuzzy Mathematical Model for Joint Economic Lot Size Problem with Multiple Price Breaks. European Journal of Operational Research, 95(3): 611–622.

Mukopi, C.M., & Iravo, A.M. (2015).An Analysis of the Effects of Inventory control on the Performance of the Procurement Function of Sugar Manufacturing Companies in the Western Kenya Sugar Belt. International Journal of Scientific and Research Publications, 5(5), 2-14.

Ngei, N.M., & Kihara, A. (2017). Influence of Inventory control Systems on Performance of Gas Manufacturing Corporates in Nairobi City County, Kenya. International Journal of Business & Law Research, 5(2), 21-39.

Ogbo, A. I. (2011). Production and Operations Management. Enugu: De-verge Agencies Ltd.

Ouyang, L.Y, J.-T. Teng, and M.-C. Cheng, (2018)."A Fuzzy Inventory System with Deteriorating Items under Supplier Credits Linked to Ordering Quantity," J. Inf. Sci. Eng., vol. 26 (231-253).

Salawati, S., Tinggi, M., & Kadri, N. (2012). inventory control in Malaysian construction corporates: impact on performance. SIU Journal management, 2, 59-60.

Saunders, M., Lewis, P. & Thornhill, A. (2012). Research methods for business students (6th ed.). Harlow: Pearson.

Shah, R. and Shin, H. (2017), “Relationships among information technology, inventory, and Profitability: an investigation of level invariance using sector level data”, Journal of Operations Management, Vol. 25 No. 4, pp. 768-84

Sople, V. (2018), Logistics Management, 2nd Edition, Dorling Kindersley, India, PVT, London

Tempelmeier, H. (2011). Inventory control in Supply Networks, 3rd. Edition, Norderstedt (Books on Demand), ISBN 3-8423-4677-8

Wachira R and Ngutu C (2015). Analysis of automated inventory control in parastatals in Kenya, International Journal of Research in Management & Business Studies, 21(3)

Wolcott H. (2017), Logistics and Supplies Management, Pearson Education Ltd. England.

Zadeh L. A (2015). Fuzzy sets, Information and control, vol. 8 (338-353).

Zhu, K., and K. L. Kraemer. 2015. “Post-Adoption Variations in Usage and Value of e-Business by Organizations: Cross-Country Evidence from the Retail Industry.” Information Systems Research 16 (1): 61–85.




DOI: http://dx.doi.org/10.61426/sjbcm.v7i3.1748

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

PAST ISSUES:
20242023202220212020201920182017201620152014
Vol 11, No 4 [2024]Vol 10, No 4 [2023]Vol 9, No 4 [2022]Vol 8, No 4 [2021]Vol 7, No 4 [2020]Vol 6, No 4 [2019]Vol 5, No 4 [2018]Vol 4, No 4 [2017]Vol 3, No 4 [2016]Vol 2, No 2 [2015]Vol 1, No 2 [2014]
 Vol 11, No 3 [2024] Vol 10, No 3 [2023] Vol 9, No 3 [2022]Vol 8, No 3 [2021]Vol 7, No 3 [2020]Vol 6, No 3 [2019]Vol 5, No 3 [2019]Vol 4, No 3 [2017]Vol 3, No 3 [2016]Vol 2, No 1 [2015]Vol 1, No 1 [2014]
 Vol 11, No 2 [2024] Vol 10, No 2 [2023] Vol 9, No 2 [2022]Vol 8, No 2 [2021]Vol 7, No 2 [2020]Vol 6, No 2 [2019]Vol 5, No 2 [2018]Vol 4, No 2 [2017]Vol 3, No 2 [2016]  
 Vol 11, No 1 [2024] Vol 10, No 1 [2023] Vol 9, No 1 [2022]  Vol 8, No 1 [2021]Vol 7, No 1 [2020]Vol 6, No 1 [2019]Vol 5, No 1 [2018]Vol 4, No 1 [2017]Vol 3, No 1 [2016]   


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.