Cross-border logistics and shipping company performance in East Africa: Empirical evidence from Mombasa Port

Alice Wanjiru Njuguna (1) , Peter Githae (2) , Erastus Kiswili Nyile (3)
(1) The Management University of Africa, South C, Popo Rd , Kenya
(2) The Management University of Africa, South C, Popo Rd , Kenya
(3) Murang’a University of Technology, Murang’a , Kenya

Abstract

Purpose: This study examines the effect of cross-border logistics on shipping company performance in East Africa, specifically investigating how customs clearance efficiency, transportation management systems (TMS) adoption, last-mile delivery optimization, and supply chain coordination influence operational, financial, and market performance of maritime logistics firms in Mombasa County, Kenya. Methodology: The research employed a descriptive survey design with stratified random sampling of 172 shipping companies operating in Mombasa County. Data were collected through structured questionnaires from 149 respondents (86.63% response rate), yielding cross-sectional observations of logistics practices and performance outcomes. Multiple linear regression analysis examined the joint effects of independent variables on performance, controlling for firm size, years of operation, service scope, and customer profile. Results: All four hypothesized relationships were confirmed statistically (p < 0.05). Supply chain coordination demonstrated the strongest effect on performance (β = 0.458, standardized β = 0.338), followed by transportation management systems (β = 0.412, standardized β = 0.234), last-mile delivery optimization (β = 0.289, standardized β = 0.241), and customs clearance efficiency (β = 0.186, standardized β = 0.182). The regression model explained 77.2% of performance variance (R² = 0.772, F = 52.34, p < 0.001), indicating that cross-border logistics dimensions are critical performance determinants. However, technology adoption barriers limit TMS implementation to 34.2% of firms, representing untapped performance improvement opportunity. Theoretical Contribution: The study contributes to the logistics and supply chain management literature by providing firm-level empirical evidence on determinants of cross-border logistics performance in Sub-Saharan Africa, where such research remains limited. The integrated examination of multiple logistics dimensions reveals performance interdependencies. The findings extend institutional theory, the resource-based view, transaction cost economics, and network theory by demonstrating their complementary explanatory power in the context of logistics in developing economies. The dominant effect of supply chain coordination supports network theory predictions while highlighting limitations of technology-centered approaches in resource-constrained environments. Practical Implications: For shipping company executives, the research provides evidence-based guidance for strategic logistics investments, emphasizing that supply chain coordination and relationship development can yield higher returns than technology adoption alone. For policymakers, the findings support prioritizing customs reform, technology infrastructure investment, and regional harmonization within the East African Community and the African Continental Free Trade Area. For industry associations, the research identifies skills gaps in logistics management requiring capacity-building initiatives and suggests that collaborative problem-solving forums addressing inter-organizational coordination challenges would benefit industry competitiveness.


Sustainable Development Goals (SDGs): SDG 9: Industry, Innovation, and Infrastructure; SDG 8: Decent Work and Economic Growth; SDG 17: Partnerships for the Goals

Full text article

Generated from XML file

References

African Development Bank. (2023). Africa infrastructure development index 2023. African Development Bank Group.
Alsheyadi, A., Baawain, A., & Shaukat, M. R. (2024). E-supply chain coordination and performance impacts: An empirical investigation. Production & Manufacturing Research, 12(1). https://doi.org/10.1080/21693277.2024.2379942
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120. https://doi.org/10.1177/014920639101700108
Ben Haj Ahmed, R., Bouzir, A., Benhadj Mbarek, M. H., & Benammou, S. (2023). The impact of logistics performance index on port infrastructure quality: comparative study Tunisia Morocco. Archives of Transport, 67(3), 147-164. https://doi.org/10.5604/01.3001.0053.7212
Business Daily Africa. (2025, January 8). Mombasa port container traffic hits a record in 2024. https://www.businessdailyafrica.com/bd/corporate/companies/mombasa-port-container-traffic-hits-a-record-in-2024-4884082
Choi, Y. S. (2015). Customs policies and trade efficiency (WCO Research Paper No. 34). World Customs Organization.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.
DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147-160. https://doi.org/10.2307/2095101
East African Community. (2024). EAC facts and figures 2024. EAC Secretariat.
Ecofin Agency. (2025, September 29). East African Community trade rises 22% in 2024, topping $11bn. https://www.ecofinagency.com/news/3009-49141-east-african-community-trade-rises-22-in-2024-topping-11bn
Fink, A. (1995). The survey handbook. Sage Publications.
Granovetter, M. (1985). Economic action and social structure: The problem of embeddedness. American journal of sociology, 91(3), 481-510. https://doi.org/10.1086/228311
Hamisi, S. R., & Kileo, W. J. The Effect of Automated Customs Clearance Systems on Enhancing Trade Efficiency in Tanzania. International Journal of Social Sciences and Management Research, 10(8), 408-422.
Jazairy, A., & von Haartman, R. (2020). Analysing the institutional pressures on shippers and logistics service providers to implement green supply chain management practices. International Journal of Logistics Research and Applications, 23(1), 44-84. https://doi.org/10.1080/13675567.2019.1584163
Kenya Institute of Supply Chain Management. (2023). Skills assessment survey 2023: Kenya logistics sector. KISM.
Kenya International Freight and Warehousing Association. (2023). Annual industry report 2023. KIFWA.
Kenya Ports Authority. (2024). Strategic plan 2024-2028. Kenya Ports Authority.
Kenya Ports Authority. (2025, January 8). KPA achieves a major milestone, surpassing 2 million TEUs. https://www.kpa.co.ke/Media/Read/2
Kenya Revenue Authority. (2024). Annual revenue report 2023/2024. KRA.
Kenya Shipping Council. (2023). Maritime industry statistical bulletin 2023. Kenya Shipping Council.
Kocoglu, I., Keskin, H., Cemberci, M., & Civelek, M. E. (2022). Effect of supply chain coordination on performance: a serial mediation model of trust, agility, and collaboration. International Journal of Information Systems and Supply Chain Management (IJISSCM), 15(1), 1-15. https://doi.org/10.4018/IJISSCM.287130
Kuo, S. Y., Lin, P. C., & Lu, C. S. (2017). The effects of dynamic capabilities, service capabilities, competitive advantage, and organizational performance in container shipping. Transportation Research Part A: Policy and Practice, 95, 356-371. https://doi.org/10.1016/j.tra.2016.11.015
Lai, K. H., Ngai, E. W. T., & Cheng, T. C. E. (2004). An empirical study of supply chain performance in transport logistics. International journal of Production economics, 87(3), 321-331. https://doi.org/10.1016/j.ijpe.2003.09.007
Maersk. (2024, May 16). Transportation management system (TMS) explained. https://www.maersk.com/logistics-explained/supply-chain-management/2024/05/16/transportation-management-system
Maleki, M., & Cruz-Machado, V. (2013). An empirical review on supply chain integration. Management and Production Engineering Review, 4(1), 85-96. https://doi.org/10.2478/mper-2013-0010
Nasser, F., & Ouerghi, F. (2024). The role of institutions in logistics performance as a new road toward GVC participation. Transnational Corporations Review, 16(4), 200092. https://doi.org/10.1016/j.tncr.2024.200092
Ngari, K. N. (2018). Effects of customs clearance procedures on business performance of selected clearing and forwarding companies in Kenya [Master's thesis, KCA University].
Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill.
Obasi, C., Oyakegha, S., & Okuoyibo, A. M. (2024). Port logistics and supply chain management: An empirical review. African Journal of Economics and Sustainable Development, 7(3), 82-91. https://doi.org/10.52589/AJESD-CB4SA99C
Omoush, M. M. (2022). The impact of the practices of logistic management on operational performance: A field study of road transport companies [Special issue]. Journal of Governance & Regulation, 11(4), 237–245. https://doi.org/10.22495/jgrv11i4siart4
Progoulaki, M., & Theotokas, I. (2010). Human resource management and competitive advantage: An application of resource-based view in the shipping industry. Marine Policy, 34(3), 575-582. https://doi.org/10.1016/j.marpol.2009.11.004
Shuaibu, A. S., Mahmoud, A. S., & Sheltami, T. R. (2025). Last-Mile Delivery Optimization: Recent Approaches and Advances. Transportation Research Procedia, 84, 299-306. https://doi.org/10.1016/j.trpro.2025.03.076
Shukla, R. K., Garg, D., & Agarwal, A. (2013). Supply chain coordination competency and Firm Performance: An empirical study. International Journal of Supply Chain Management, 2(4), 64-70.
Sillanpää, I. (2015). Empirical study of measuring supply chain performance. Benchmarking: An International Journal, 22(2), 290-308. https://doi.org/10.1108/BIJ-01-2013-0009
The Star. (2024, March 25). Last-mile delivery is good for Kenya. https://www.the-star.co.ke/news/2024-03-26-last-mile-delivery-is-good-for-kenya
UNCTAD. (2024). Review of maritime transport 2024. United Nations Conference on Trade and Development.
UNCTAD. (2025). Port performance and maritime trade facilitation (Chapter 4). United Nations Conference on Trade and Development.
Williamson, O. E. (1985). The economic institutions of capitalism. Free Press.
World Bank. (2023). Logistics Performance Index 2023. World Bank Group.
World Bank. (2024). Doing business in Kenya 2024: Trade facilitation indicators. World Bank Group.
World Customs Organization. (2023). Annual report 2023. WCO.
World Trade Organization. (2024). World trade statistical review 2024. WTO Publications.
Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). Harper and Row.
Yang, C. C., Marlow, P. B., & Lu, C. S. (2009). Assessing resources, logistics service capabilities, innovation capabilities and the performance of container shipping services in Taiwan. International Journal of Production Economics, 122(1), 4-20. https://doi.org/10.1016/j.ijpe.2009.03.016
Yang, C. S., & Lirn, T. C. (2017). Revisiting the resource-based view on logistics performance in the shipping industry. International Journal of Physical Distribution & Logistics Management, 47(9), 884-905. https://doi.org/10.1108/IJPDLM-05-2017-0184
Zhang, X., Zha, X., Dan, B., Liu, Y., & Sui, R. (2024). Logistics mode selection and information sharing in a cross-border e-commerce supply chain with competition. European Journal of Operational Research, 314(1), 136-151. https://doi.org/10.1016/j.ejor.2023.09.012

Authors

Alice Wanjiru Njuguna
njugunaalice5@gmail.com (Primary Contact)
Peter Githae
Erastus Kiswili Nyile
Njuguna, A. W., Githae, P., & Nyile, E. K. (2025). Cross-border logistics and shipping company performance in East Africa: Empirical evidence from Mombasa Port. Journal of Sustainable Development of Transport and Logistics, 10(2), 134–172. https://doi.org/10.14254/jsdtl.2025.10-2.8

Article Details

No Related Submission Found