Abstract
The relevance of the study is driven by the increasing level of uncertainty and systemic risks in the supply chains of trade enterprises, which intensifies the need to transform business models and move from fragmented digitalization toward the formation of integrated digital ecosystems for resilience management. Contemporary challenges caused by global crises, pandemics, and military threats highlight the necessity of integrating material, information, financial, and human-resource flows within a unified digital environment capable of ensuring adaptability, transparency, and continuity of supply. The article aims to substantiate the concept of a digital ecosystem for managing supply chain resilience of trade enterprises and to develop a hierarchical and functional and technological model of its formation in the context of the transition from Industry 4.0 to Industry 5.0. The research employs methods of theoretical generalization, structural–logical analysis, systems approach, and comparative analysis. The paper systematizes modern scientific approaches to the interpretation of digital ecosystems in supply chain management, clarifies their economic essence, functional role, and key architectural levels. A hierarchical model of digitalization for managing supply chain resilience is proposed, reflecting the logic of the phased integration of digital solutions into the business processes of trade enterprises. A functional–technological structure of the digital ecosystem is developed, encompassing data collection, exchange, storage, and analytical processing layers and ensuring end-to-end visibility of logistics flows. It is substantiated that the integration of Big Data technologies, artificial intelligence, the Internet of Things, digital twins, and blockchain forms the basis for a transition from reactive to proactive risk management. Such integration enables disruption forecasting, scenario modeling, and timely adjustment of managerial decisions. As a result, the level of resilience, adaptability, and overall supply chain performance increases under conditions of uncertainty and digital transformation. The practical significance of the study lies in the possibility of using the proposed digital ecosystem as a methodological framework for managerial decision-making aimed at enhancing resilience, efficiency, and long-term competitiveness of trade enterprises.
References
1. Abreu, H., Pereira, V., & Barata, J. (2025). Blockchain-based digital product passport: Design principles and demonstration. International Journal of Production Research, 63(16), 5863–5882. https://doi.org/10.1080/00207543.2025.2464161
2. Artomova, A. (2025). E-Commerce 3.0: integrating mobile, social and omnichannel trade into digital entrepreneurship. Social Development: Economic and Legal Issues, (10), 43–55. https://doi.org/10.70651/3083-6018/2025.10.14
3. Atieh, A. A., Abu Hussein, A., Al-Jaghoub, S., Alheet, A. F., & Attiany, M. (2025). The impact of digital technology, automation, and data integration on supply chain performance: Exploring the moderating role of digital transformation. Logistics, 9(1), 11. https://doi.org/10.3390/logistics9010011
4. Birkel, H., & Müller, J. M. (2021). Potentials of industry 4.0 for supply chain management within the triple bottom line of sustainability – a systematic literature review. Journal of Cleaner Production, (289), 125612. https://doi.org/10.1016/j.jclepro.2020.125612
5. Chen, L., Wang, Y., Peng, J., & Xiao, Q. (2024). Supply chain management based on uncertainty theory: A bibliometric analysis and future prospects. Fuzzy Optimization and Decision Making, 23(4), 599–636. https://doi.org/10.1007/s10700-024-09435-9
6. Craighead, C. W., Ketchen, D. J., Jr., & Darby, J. L. (2020). Pandemics and supply chain management research: Toward a theoretical toolbox. Decision Sciences, 51(4), 838–866. https://doi.org/10.1111/deci.12468
7. Daly, H. (1996). Beyond Growth: The Economics of Sustainable Development. Boston: Beacon Press
8. Guo, Q., Zhen, Y., Nie, S., & Yao, N. (2025). No place to hide: How supply chain digitalization curbs environmental moral hazard. Industrial Management & Data Systems. https://doi.org/10.1108/IMDS-04-2025-0440
9. Hendricks, K. B., & Singhal, V. R. (2005). An empirical analysis of the effect of supply chain disruptions on long-run stock price performance and equity risk of the firm. Production and Operations Management, 14(1), 35–52. https://doi.org/10.1111/j.1937-5956.2005.tb00008.x
10. Hulse, J. H. (2007). Sustainable development at risk: Ignoring the past. Cambridge: Foundation Books. https://doi.org/10.1017/UPO9788175968356
11. Joglekar, N., Nie, W., Alem Fonseca, M., Tsolakis, N., & Kumar, M. (2025). Αn AI-driven approach to assess sentiments and interpret context in a critical mineral supply chain. International Journal of Production Research, 1–29. https://doi.org/10.1080/00207543.2025.2532142
12. Kapeliushna T., Lehominova S., Goloborodko A., Lysetskyi Yu., & Nosova T. (2024). Methodological approaches to enterprise security management: traditional and transformed to the conditions of functioning. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (3), 204–209. https://doi.org/10.33271/nvngu/2024-3/204
13. Klymenko, O., Lehominova, S., & Goloborodko, A. (2023). A capsuled approach to analysis of the profitability of the digitalization of business processes of telecommunications companies in Ukraine. Journal on Innovation and Sustainability, 14(3), 127–137. https://doi.org/10.23925/2179-3565.2023v14i3p123-137
14. Lahmar, A., & Siddiqui, A. A. (2025). Synergizing supply chain management and digital technologies: A systematic review and framework for resilience and sustainability. Journal of Systems and Information Technology. https://doi.org/10.1108/JSIT-03-2025-0124
15. Ma, J.-Y., & Kang, T.-W. (2025). Digital intelligence and decision optimization in healthcare supply chain management: The mediating roles of innovation capability and supply chain resilience. Sustainability, 17(15), 6706. https://doi.org/10.3390/su17156706
16. Malekzadeh, M., Torabi, S. A., & Sheikhalishahi, M. (2025). A supply chain digital twin for resilience analysis under immediate and long-term disruptions: A case study in plastic parts’ manufacturing. International Journal of Production Research, 63(24), 10445–10467. https://doi.org/10.1080/00207543.2025.2551243
17. Mussomeli, A., Gish, D., & Laaper, S. (2016). The rise of the digital supply network: Industry 4.0 enables the digital transformation of supply chains. Deloitte: Deloitte University Press.
18. Robert, K. W., Parris, T. M., & Leiserowitz, A. A. (2005). What is sustainable development? Goals, indicators, values, and practice. Environment: Science and Policy for Sustainable Development, 47(3), 8–21. https://doi.org/10.1080/00139157.2005.10524444
19. Sharma, M., Antony, R., Sharma, A., & Daim, T. (2025). Can smart supply chain bring agility and resilience for enhanced sustainable business performance? The International Journal of Logistics Management, 36(2), 501–555. https://doi.org/10.1108/IJLM-09-2023-0381
20. Shtuler, I. (2016). Evolution of economic development theories in the modern dimension of knowledge. Global and National Problems of Economy, (9), 216–219.
21. Sun, L., & Xu, X. (2025). The role of digital enablement in linking low-carbon practices to supply chain resilience and performance. International Journal of Logistics Research and Applications, 1–20. https://doi.org/10.1080/13675567.2025.2586034
22. Tiwari, M. K., Bidanda, B., Geunes, J., Fernandes, K., & Dolgui, A. (2024). Supply chain digitisation and management. International Journal of Production Research, 62(8), 2918–2926. https://doi.org/10.1080/00207543.2024.2316476

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright (c) 2026 Alona Goloborodko
