Logistics Innovation in Developing Economies: Integrating Digital Solutions in E-Commerce Supply Chains
DOI:
https://doi.org/10.61194/sijl.v2i4.733Keywords:
E-Commerce Logistics, Emerging Markets, Supply Chain Innovation, Digital Transformation, Logistics Strategy, Cross-Border Delivery, AI in LogisticsAbstract
The rapid expansion of e-commerce has created new challenges and opportunities for logistics systems in emerging markets. This study presents a narrative review exploring how logistics strategies have adapted to these shifts, with a focus on technological integration, collaboration models, financing mechanisms, and regulatory environments. Literature was gathered from Scopus and Google Scholar using targeted keywords related to e-commerce logistics and emerging markets. Inclusion criteria prioritized peer-reviewed articles from 2010 onward that addressed the intersection of logistics, digital technologies, and developing country contexts. Findings show that collaboration between e-commerce platforms and third-party logistics providers enhances operational efficiency, particularly through resource sharing and system integration. Technologies such as artificial intelligence, Internet of Things, and big data are instrumental in real-time route optimization and supply chain responsiveness. Financing models, particularly platform-based investments, have enabled digital upgrades and capacity expansion among logistics providers. Cross-border logistics adaptation and consumer-centric delivery services also emerged as key themes. However, systemic barriers including infrastructural deficits and regulatory fragmentation continue to hinder progress. The review underscores the importance of policy support and integrated technological adoption in enabling sustainable logistics transformation. It concludes by calling for future research on localized consumer dynamics, long-term impacts of digitalization, and inclusive financial frameworks to address existing gaps and strengthen the global competitiveness of e-commerce in emerging economi.
References
Bi, G., Shen, F., & Xu, Y. (2024). Third‐party logistics firm's technology investment and financing options in platform‐based supply chain with 4pl service. Naval Research Logistics (Nrl), 71(6), 763-782. https://doi.org/10.1002/nav.22177 DOI: https://doi.org/10.1002/nav.22177
Bi, G., Wu, Y., & Xu, H. (2024). Financing options for logistics firms considering product quality loss. Journal of Modelling in Management, 19(6), 2158-2194. https://doi.org/10.1108/jm2-12-2023-0296 DOI: https://doi.org/10.1108/JM2-12-2023-0296
Chan, A., Chen, C., & Zhao, L. (2018). Jd.com: leveraging the edge of e-business. Emerald Emerging Markets Case Studies, 8(3), 1-30. https://doi.org/10.1108/eemcs-06-2016-0109 DOI: https://doi.org/10.1108/EEMCS-06-2016-0109
Chen, L., Dong, T., Pang, M., Liu, Q., Wang, Z., & Rao, C. (2023). Logistics service strategy for e‐commerce supply chain: interactive impacts of cost reduction effort and fairness concern. Managerial and Decision Economics, 45(2), 1067-1089. https://doi.org/10.1002/mde.4054 DOI: https://doi.org/10.1002/mde.4054
Golińska-Dawson, P., Werner-Lewandowska, K., Kolińska, K., & Koliński, A. (2023). Impact of market drivers on the digital maturity of logistics processes in a supply chain. Sustainability, 15(4), 3120. https://doi.org/10.3390/su15043120 DOI: https://doi.org/10.3390/su15043120
Li, J. (2023). A dynamic path optimization model of iot delivery vehicles for e-commerce logistics distribution. Scalable Computing Practice and Experience, 24(4), 729-742. https://doi.org/10.12694/scpe.v24i4.2332 DOI: https://doi.org/10.12694/scpe.v24i4.2332
Li, R. and Wu, L. (2024). Intelligent e-commerce logistics path planning and scheduling optimization combined with graph theory. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-1262 DOI: https://doi.org/10.2478/amns-2024-1262
Liu, H. and Zhao, Y. (2023). Research on manufacturers’ logistics strategy selection in the context of e-commerce. Systems, 11(7), 324. https://doi.org/10.3390/systems11070324 DOI: https://doi.org/10.3390/systems11070324
Liu, M. and Yan, W. (2017). Adaption of logistical distribution networks with complexity and efficiency considerations for cross-border e-commerce in china. https://doi.org/10.3233/978-1-61499-779-5-136 DOI: https://doi.org/10.3233/978-1-61499-779-5-136
Loewen, K. (2018). Reproducing disposability: unsettled labor strategies in the construction of e-commerce markets. Environment and Planning D Society and Space, 36(4), 701-718. https://doi.org/10.1177/0263775818770453 DOI: https://doi.org/10.1177/0263775818770453
Luo, N. (2022). Innovation of e-commerce development model under the background of artificial intelligence and wireless communication. Wireless Communications and Mobile Computing, 2022, 1-7. https://doi.org/10.1155/2022/8572911 DOI: https://doi.org/10.1155/2022/8572911
Madleňák, R., Madleňáková, L., Szatmari, P., & Neszmelyi, G. (2023). Distribution networks in national and crossborder e-commerce. https://doi.org/10.22616/erdev.2023.22.tf152 DOI: https://doi.org/10.22616/ERDev.2023.22.TF152
Qin, Y. and Liu, H. (2022). Application of value stream mapping in e-commerce: a case study on an amazon retailer. Sustainability, 14(2), 713. https://doi.org/10.3390/su14020713 DOI: https://doi.org/10.3390/su14020713
Settey, T., Gnap, J., Beňová, D., Pavličko, M., & Blažeková, O. (2021). The growth of e-commerce due to covid-19 and the need for urban logistics centers using electric vehicles: bratislava case study. Sustainability, 13(10), 5357. https://doi.org/10.3390/su13105357 DOI: https://doi.org/10.3390/su13105357
Sułkowski, Ł., Kolasińska-Morawska, K., Brzozowska, M., Morawski, P., & Schroeder, T. (2022). Last mile logistics innovations in the courier-express-parcel sector due to the covid-19 pandemic. Sustainability, 14(13), 8207. https://doi.org/10.3390/su14138207 DOI: https://doi.org/10.3390/su14138207
Wang, F., Di, W., Yu, H., Shen, H., & Zhao, Y. (2021). Understanding the role of big data analytics for coordination of electronic retail service supply chain. Journal of Enterprise Information Management, 35(4/5), 1392-1408. https://doi.org/10.1108/jeim-12-2020-0548 DOI: https://doi.org/10.1108/JEIM-12-2020-0548
Wang, X., Yuen, K., Wong, Y., & Teo, C. (2018). E-consumer adoption of innovative last-mile logistics services: a comparison of behavioural models. Total Quality Management & Business Excellence, 31(11-12), 1381-1407. https://doi.org/10.1080/14783363.2018.1485484 DOI: https://doi.org/10.1080/14783363.2018.1485484
Xie, F., Wen, L., Cui, W., & Shen, X. (2024). Complexity analysis and control of output competition in a closed-loop supply chain of cross-border e-commerce under different logistics modes considering chain-to-chain information asymmetry. Entropy, 26(12), 1073. https://doi.org/10.3390/e26121073 DOI: https://doi.org/10.3390/e26121073
Yang, L. (2022). Research on logistics distribution vehicle path optimization based on simulated annealing algorithm. Advances in Multimedia, 2022, 1-8. https://doi.org/10.1155/2022/7363279 DOI: https://doi.org/10.1155/2022/7363279
Zennaro, I., Finco, S., Calzavara, M., & Persona, A. (2022). Implementing e-commerce from logistic perspective: literature review and methodological framework. Sustainability, 14(2), 911. https://doi.org/10.3390/su14020911 DOI: https://doi.org/10.3390/su14020911
Zhang, X., Zhang, S., & Du, B. (2023). To compete or to collaborate? logistics service sharing and retailers’ resale in competitive online channels. Systems, 11(7), 358. https://doi.org/10.3390/systems11070358 DOI: https://doi.org/10.3390/systems11070358
Zhu, L. (2020). Optimization and simulation for e-commerce supply chain in the internet of things environment. Complexity, 2020, 1-11. https://doi.org/10.1155/2020/8821128 DOI: https://doi.org/10.1155/2020/8821128
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