Influence of Autonomous Systems on Supply Chain Optimization in Real-Time Logistics in Ethiopia
DOI:
https://doi.org/10.47941/jts.3111Keywords:
Influence of Autonomous Systems on Supply Chain Optimization in Real-Time Logistics in EthiopiaAbstract
Abstract
Purpose: The purpose of this article was to analyze the influence of autonomous systems on supply chain optimization in real-time logistics in Ethiopia.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The influence of autonomous systems on supply chain optimization in Ethiopia is still emerging, with early applications like drones for rural delivery showing potential to improve efficiency. These systems could reduce delivery times, lower costs, and enhance accuracy. However, challenges such as infrastructure gaps and regulatory issues need to be addressed for full implementation. Continued research and investment are crucial to unlocking the potential of autonomous logistics in Ethiopia.
Unique Contribution to Theory, Practice and Policy: The technology acceptance model (TAM), resource-based view (RBV) & lean supply chain theory may be used to anchor future studies on the influence of autonomous systems on supply chain optimization in real-time logistics in Ethiopia. Logistics companies should consider adopting hybrid models that integrate autonomous systems with existing human-operated processes. This Governments must create and enforce clear regulatory frameworks that allow for the safe and efficient integration of autonomous systems into logistics.
Downloads
References
Anderson, J., Jansen, K., & Schmidt, D. (2020). The impact of autonomous long-haul trucking on supply chain efficiency. Transportation Research Part C: Emerging Technologies, 115, 26-38. https://doi.org/10.1016/j.trc.2020.01.005
Böhme, T., Künzle, A., & Schwab, J. (2021). Leveraging automation and data analytics for supply chain optimization: DHL’s approach in Germany. Journal of Business Logistics, 42(1), 20-35. https://doi.org/10.1111/jbl.12231
Chen, J., & Liu, Z. (2020). Data-driven supply chain optimization in China: Alibaba's role in transforming logistics. International Journal of Logistics Management, 31(3), 265-279. https://doi.org/10.1108/IJLM-02-2019-0125
Chen, Y., & Wang, L. (2020). Drones and autonomous vehicles in logistics: A review of current applications and challenges. International Journal of Logistics Management, 31(2), 188-
Dube, S., & Mabena, C. (2019). Optimizing supply chain operations in sub-Saharan Africa: The case of Shoprite. International Journal of Logistics Management, 30(4), 784-801. https://doi.org/10.1108/IJLM-12-2018-0335
Gagnon, J., & Lavoie, M. (2020). IoT and real-time tracking in Canadian retail supply chains: A case study of Loblaws. Journal of Retail and Consumer Services, 54, 102037. https://doi.org/10.1016/j.jretconser.2019.102037
García, A., & Martínez, R. (2020). Predictive analytics for supply chain optimization: Grupo Bimbo’s strategy in Mexico. Logistics and Transportation Review, 58(4), 452-468. https://doi.org/10.1016/j.tre.2020.100132
González, J., Martínez, A., & Pérez, R. (2019). Integration of autonomous systems in supply chain logistics: A case study from Spain. Journal of Transport and Supply Chain Management, 13(1), 12-26. https://doi.org/10.4102/jtscm.v13i1.408
Hailu, B., & Hailemariam, A. (2020). Supply chain optimization in Ethiopian Airlines: Improving logistics through technology. African Journal of Business and Economic Research, 15(2), 145-160. https://doi.org/10.1515/ajber-2020-0062
Jabbour, C. J. C., Jabbour, A. B. L. D. S., & Godinho Filho, M. (2021). Lean supply chain management: A review and future research directions. International Journal of Production Research, 59(9), 2810-2834. https://doi.org/10.1080/00207543.2020.1819932
Karanja, M., & Ochieng, J. (2020). The role of mobile payments in optimizing supply chains in Sub-Saharan Africa: A case study of Kenya. Journal of African Business, 21(2), 177-195. https://doi.org/10.1080/15228916.2020.1710752
Kumar, S., & Saini, R. (2022). Impact of resource-based view on supply chain optimization through technological innovations. Journal of Manufacturing Technology Management, 33(5), 983-1002. https://doi.org/10.1108/JMTM-04-2021-0262
Olawale, E., & Kalu, U. (2021). E-commerce logistics and supply chain optimization in Nigeria: The Jumia case. Journal of African Business, 22(2), 174-190. https://doi.org/10.1080/15228916.2021.1894964
Pereira, G., Silva, J., & Santos, R. (2021). Warehouse automation: The role of autonomous robots in optimizing logistics operations. Journal of Supply Chain Management, 57(3), 63-75. https://doi.org/10.1111/jscm.12261
Sharma, P., & Kumar, S. (2021). Leveraging data analytics for supply chain optimization: The case of Flipkart. Journal of Business Research, 130, 108-116. https://doi.org/10.1016/j.jbusres.2020.06.055
Silva, F., Oliveira, D., & Costa, A. (2020). The impact of IoT and predictive analytics on supply chain management: Evidence from Brazil. Logistics Journal, 12(1), 45-56. https://doi.org/10.3390/logistics12010045
Smith, J., Thomas, L., & Reynolds, B. (2021). Real-time fleet management and the role of autonomous systems in improving delivery efficiency. Journal of Business Logistics, 42(4), 455-468. https://doi.org/10.1111/jbl.12245
Smith, J., Thomas, L., & Reynolds, B. (2021). Real-time fleet management and the role of autonomous systems in improving delivery efficiency. Journal of Business Logistics, 42(4), 455-468. https://doi.org/10.1111/jbl.12245
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2020). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 44(1), 139-168. https://doi.org/10.25300/MISQ/2020/14327
Yamashita, T., Morikawa, K., & Ohta, K. (2020). Supply chain optimization strategies in the automotive industry: Toyota's case. Journal of Manufacturing Science and Engineering, 142(3), 1-9. https://doi.org/10.1115/1.4048657
Zhang, Y., & Li, X. (2020). The role of automation and AI in Amazon's supply chain optimization. Journal of Supply Chain Management, 56(2), 85-95. https://doi.org/10.1111/jscm.12231
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Aster Bekele
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
