Transportation management as a supply chain driver and performance of large manufacturing firms in Kenya
DOI:
https://doi.org/10.51867/ajernet.6.3.26Palavras-chave:
Firm Performance, Large Manufacturing Firms, Supply Chain Drivers, Transportation ManagementResumo
The manufacturing sector in Kenya stands to be at the centre of economic growth and development owing to its role in job creation and value addition. Despite its promising potential, the sector has over the past five years faced stagnation and overall decline in performance, as a result of accelerating disruptions in the operating environment such as sky rocketing costs of production, political instability, increased competition, unpredictable policy frameworks among others. Available evidence shows that one of the major supportive aspects that could enable modern businesses particularly manufacturing firms to be more resilient and competitive amid the disruptions is transportation management, which helps streamline the logistics processes for cost-efficiency, timely deliveries, and customer satisfaction. However, there remains scant evidence on embrace of transportation management as a supply chain driver in large manufacturing firms in Kenya, hence the motivation of this study. The study was anchored on Transaction Cost Economics theory, which upholds the essence of streamlining processes like transportation to minimize on costs and maximize on value. Using a cross-sectional research design, the study targeted supply chain managers drawn from 553 large manufacturing firms in Kenya. Using Slovin’s sampling formula, a total of 233 respondents were sampled. A questionnaire was used to collect primary data, which was analyzed using quantitative and qualitative techniques. The findings revealed that transportation management had not been effectively embraced among most of the surveyed large manufacturing firms in Kenya. It was also uncovered that the large manufacturing firms recorded declining and unstable performance for the period under review. The downward trend in performance was strongly correlated with low embrace of transportation management, implying that transportation management significantly influenced performance of large manufacturing firms. This raises the need for supply chain managers in large manufacturing firms in Kenya to uphold effective transportation management to strengthen and streamline the flow of goods across the supply chain network for enhanced performance.
Downloads
Referências
Adebayo, I. T., & Aworemi, J. R. (2021, August). Transport management practices and firms' performance in Nigeria. In Proceedings of the International Conference on Industrial Engineering and Operations Management (pp. 2-5). Rome, Italy. https://doi.org/10.46254/EU04.20210353 DOI: https://doi.org/10.46254/EU04.20210353
Adelwini, B. B., Toku, L. I., & Adu, O. F. (2023). Investigating the effects of logistics management on organizational performance: New evidence from the manufacturing industry. Journal of Accounting, Business and Finance Research, 16(1), 1-11. https://doi.org/10.55217/102.v16i1.606 DOI: https://doi.org/10.55217/102.v16i1.606
AlKheder, S., Naif, D., Musaed, D., Al Shrekah, S., Al Rshaid, M., Anzi, N. A., & Baqer, I. A. (2022). Maritime transport management in Kuwait toward an automated port logistical city. Cleaner Logistics and Supply Chain, 3, 100031. https://www.sciencedirect.com/science/article/pii/S277239092200004X DOI: https://doi.org/10.1016/j.clscn.2022.100031
https://doi.org/10.1016/j.clscn.2022.100031
Alsmairat, M. A. (2021). Transformative supply chain drivers during COVID-19: A customer perspective. Polish Journal of Management Studies, 24(2), 109-127. https://doi.org/10.17512/pjms.2021.24.2.01 DOI: https://doi.org/10.17512/pjms.2021.24.2.01
Attia, E. A., Alarjani, A., Uddin, M. S., & Kineber, A. F. (2023). Examining the influence of sustainable construction supply chain drivers on sustainable building projects using a mathematical structural equation modeling approach. Sustainability, 15(13), 106-117. https://doi.org/10.3390/su151310671 DOI: https://doi.org/10.3390/su151310671
Buyko, M. (2022). The implications of e-logistics on business performance in supply chain management. Journal of Enterprise and Business Intelligence, 2(4), 200-210. https://doi.org/10.53759/5181/JEBI202202020 DOI: https://doi.org/10.53759/5181/JEBI202202020
Coltman, T. (2017). Formative versus reflective measurement models: Two applications of formative measurement. Journal of Business Research, 61(12), 1250-1262. https://doi.org/10.1016/j.jbusres.2008.01.013 DOI: https://doi.org/10.1016/j.jbusres.2008.01.013
Cooper, D., & Schindler, P. (2017). Qualitative research. In Business research (4th ed., pp. 160-182).
Curtis, N. (2025). Surveys with a low response rate are unreliable for estimating prevalence. The Pediatric Infectious Disease Journal, 44(2), e66-e68. https://doi.org/10.1097/INF.0000000000004563 DOI: https://doi.org/10.1097/INF.0000000000004563
Cuypers, I. R., Hennart, J. F., Silverman, B. S., & Ertug, G. (2021). Transaction cost theory: Past progress, current challenges, and suggestions for the future. Academy of Management Annals, 15(1), 111-150. DOI: https://doi.org/10.5465/annals.2019.0051
https://doi.org/10.5465/annals.2019.0051
Dalal, A., Bhattacharya, S., & Chattopadhyay, S. (2023). Revisiting supply chain drivers for greater marketing outcomes of the handicraft sector. The International Journal of Logistics Management, 34(1), 189-209. DOI: https://doi.org/10.1108/IJLM-01-2021-0036
https://doi.org/10.1108/IJLM-01-2021-0036
Dubey, U. K. B., & Kothari, D. P. (2022). Research methodology: Techniques and trends. Chapman and Hall/CRC. DOI: https://doi.org/10.1201/9781315167138
https://doi.org/10.1201/9781315167138
Emon, M. M. H. (2025). The mediating role of supply chain responsiveness in the relationship between key supply chain drivers and performance: Evidence from the FMCG industry. Brazilian Journal of Operations & Production Management, 22(1), 2580. https://doi.org/10.14488/BJOPM.2580.2025 DOI: https://doi.org/10.14488/BJOPM.2580.2025
Ghamisi, P., Shahi, K. R., Duan, P., Rasti, B., Lorenz, S., Booysen, R., & Gloaguen, R. (2021). The potential of machine learning for a more responsible sourcing of critical raw materials. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 8971-8988. https://ieeexplore.ieee.org/abstract/document/9527092 DOI: https://doi.org/10.1109/JSTARS.2021.3108049
https://doi.org/10.1109/JSTARS.2021.3108049
Halassa, O., & Al Saed, R. (2023). The impact of supply chain drivers on the performance of Ministry of Health pharmacies in Jordan. Problems and Perspectives in Management, 21(2), 439. DOI: https://doi.org/10.21511/ppm.21(2).2023.41
https://doi.org/10.21511/ppm.21(2).2023.41
International Trade Administration. (2024). Kenya country commercial guide. https://www.trade.gov/knowledge-product/kenya-market-overview
Izabayo, M., & Nimpano, D. (2025). Effect of transport management practices on organizational performance in Rwanda: A case of Dubai Ports World Rwanda. Journal of Research, Innovation and Implications in Education, 9(2), 974-982. https://doi.org/10.59765/ngir9
James, E. E., & Inyang, I. B. (2022). Logistics management and marketing performance of small and medium-sized manufacturing firms. International Journal of Entrepreneurship and Business Innovation, 5(1), 1-15. DOI: https://doi.org/10.52589/IJEBI-D1D3KF26
https://doi.org/10.52589/IJEBI-D1D3KF26
KAM. (2024). Sectors annual report: Sectors' milestones and upcoming activities. Kenya Association of Manufacturers. https://kam.co.ke/wp-content/uploads/2024/09/August-2024-Sectors-Report.pdf
KNBS. (2024). Economic survey 2024. Kenya National Bureau of Statistics. https://www.knbs.or.ke/wp-content/uploads/2024/05/2024-Economic-Survey-Popular-Version.pdf
Ketokivi, M., & Mahoney, J. T. (2020). Transaction cost economics as a theory of supply chain efficiency. Production and Operations Management, 29(4), 1011-1031. https://doi.org/10.1111/poms.13148 DOI: https://doi.org/10.1111/poms.13148
Koul, P., & Ghatak, R. R. (2024). An analysis of factors influencing green supply chain drivers in the Indian real estate sector using the ISM-DEMATEL approach. Foundations of Management, 16(1), 83-102. DOI: https://doi.org/10.2478/fman-2024-0006
https://doi.org/10.2478/fman-2024-0006
Muhalia, E. J., Ngugi, P. K., & Moronge, M. (2021). Effect of transportation management systems on supply chain performance of FMCG in Kenya. American Journal of Supply Chain Management, 6(1), 1-12. https://ideas.repec.org/a/bfy/oajscm/v6y2021i1p1-12id644.html DOI: https://doi.org/10.47672/ajscm.644
https://doi.org/10.47672/ajscm.644
Musau, E. G., Namusonge, G., Makokha, E. N., & Ngeno, J. (2017). The effect of transport management on organizational performance among textile manufacturing firms in Kenya. International Journal of Academic Research in Business and Social Sciences, 7(11), 1015-1031. https://doi.org/10.6007/IJARBSS/v7-i11/3543 DOI: https://doi.org/10.6007/IJARBSS/v7-i11/3543
Ngesa, C. A., & Namusonge, E. (2023). Effect of transportation management on the performance of logistics firms in Nairobi County, Kenya. International Journal of Social Sciences and Information Technology, 4(5), 161-171.
Nurmasari, W., Dewayana, T. S., & Yulansa, F. (2025). The influence of transportation management systems and supply chain integration on business performance with supply chain performance as a mediating variable in the automotive industry in Indonesia. Dinasti International Journal of Economics, Finance & Accounting, 5(6), 19-27. https://doi.org/10.38035/dijefa.v5i6.4067 DOI: https://doi.org/10.38035/dijefa.v5i6.4067
Olaleke, O. (2023). Transportation management and economic performance of selected textile firms in Lagos State. WSEAS Transactions on Business and Economics, 20, 1-8. https://doi.org/10.37394/23207.2023.20.1 DOI: https://doi.org/10.37394/23207.2023.20.1
Puvanasvaran, P., Teoh, Y. S., & Ito, T. (2020). Novel availability and performance ratio for internal transportation and manufacturing processes in a job shop company. Journal of Industrial Engineering and Management, 13(1), 1-17. DOI: https://doi.org/10.3926/jiem.2755
https://doi.org/10.3926/jiem.2755
Rindfleisch, A. (2020). Transaction cost theory: Past, present, and future. AMS Review, 10(1), 85-97. DOI: https://doi.org/10.1007/s13162-019-00151-x
https://doi.org/10.1007/s13162-019-00151-x
Roeck, D., Sternberg, H., & Hofmann, E. (2020). Distributed ledger technology in supply chains: A transaction cost perspective. International Journal of Production Research, 58(7), 2124-2141. https://doi.org/10.1080/00207543.2019.1657247 DOI: https://doi.org/10.1080/00207543.2019.1657247
Samita, M. N., Kadima, J., & Juma, D. (2020). Influence of transport management practices on procurement performance of manufacturing firms in Kenya: A case of Butali Sugar Company Limited. Strategic Journals, 7(4), 1075-1085. https://doi.org/10.61426/sjbcm.v7i4.1843 DOI: https://doi.org/10.61426/sjbcm.v7i4.1843
Tarigan, Z., Jiputra, J., & Siagian, H. (2021). The effect of supply chain practices on retailer performance with information technology as moderating variable. International Journal of Data and Network Science, 5(1), 47-54. DOI: https://doi.org/10.5267/j.ijdns.2020.11.003
https://doi.org/10.5267/j.ijdns.2020.11.003
Williamson, O. E. (1979). Transaction-cost economics: The governance of contractual relations. Journal of Law and Economics, 22(2), 233-261. https://doi.org/10.1086/466942 DOI: https://doi.org/10.1086/466942
Williamson, O. E. (2010). Transaction cost economics: The natural progression. American Economic Review, 100(3), 673-690. https://doi.org/10.1257/aer.100.3.673 DOI: https://doi.org/10.1257/aer.100.3.673
World Bank. (2022). Kenya economic update, December 2022: Continued rebound, but storms cloud the horizon - Policies to accelerate the productive economy for inclusive growth. https://documents.worldbank.org/curated/en/099400212072220291
Downloads
Publicado
Como Citar
Edição
Secção
Licença
Direitos de Autor (c) 2025 Esther Njeri Muiruri, Noor Ismail Shale (PhD), Anthony Osoro (PhD)

Este trabalho encontra-se publicado com a Creative Commons Atribuição-NãoComercial 4.0.













