DIGITAL INNOVATION AS A RESILIENCE ENABLER: MITIGATING SUPPLY CHAIN UNCERTAINTY IN CROSS-BORDER TRADE

Ural Federal University, B. N. Yeltsin, Yekaterinburg, Russia
Russian Federation


Abstract

In the context of rising global economic and geopolitical uncertainty, cross-border supply chains are plagued by frequent disruptions, elevated operational risks and systemic instability. Digital innovation has emerged as a critical enabler for enhancing supply chain resilience and mitigating exogenous uncertainties. This study aims to empirically explore the impact mechanisms of digital technologies on cross-border supply chain resilience, with three core research hypotheses proposed: H1: Big data analytics exerts a positive effect on cross-border supply chain stability; H2: Artificial intelligence significantly enhances cross-border supply chain flexibility; H3: Blockchain technology effectively strengthens cross-border supply chain risk resistance capabilities. Adopting a combined research method of systematic literature review and multi-case analysis of typical cross-border enterprises, this paper explores how digital innovation reduces information asymmetry in cross-border trade, shortens supply chain response cycles and optimizes risk management systems. The findings show that digital innovation has a prominent positive impact on improving cross-border supply chain resilience, and can effectively help enterprises cope with external shocks and adapt to the volatile market environment under uncertainty. This study enriches the theoretical framework of digital innovation in supply chain management and provides actionable practical implications for cross-border enterprises and relevant policymakers, so as to build more robust, efficient and sustainable cross-border supply chains.

Keywords



Full Text


References


Almaazmi, M. S., Alshurideh, M. T., and Alzoubi, H. M. (2026). How Does Big Data Analytics Drive Supply Chain Resilience in Pharmaceuticals? Exploring the Roles of Supply Chain Risk and Ambidexterity. Logistics, 10(1), 14. Retrieved from https://doi.org/10.3390/logistics10010014

Asgari, A., Alaeddini, M., Sauer, P., and Reaidy, P. (2026). Causes and Effects of Resilience Capabilities in Agri-food Supply Chains and The Role of Big Data Analytics: Insights from a Fuzzy Hybrid Decision Model. International Journal of Production Economics, 109996. Retrieved from https://doi.org/10.1016/j.ijpe.2026.109996

Bode, C., and Wagner, S. M. (2015). Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions. Journal of Operations Management, 36, 215-228. Retrieved from https://doi.org/10.1016/j.jom.2015.01.002

Dubey, R., Gunasekaran, A., Childe, S. J., Papadopoulos, T., and Fosso Wamba, S. (2017). The role of Big Data in explaining disaster resilience in supply chains for sustainability. Journal of Cleaner Production, 142, 1108-1118. Retrieved from https://doi.org/10.1016/j.jclepro.2016.03.059

FreightAmigo. (2026). In 2026, the transparency revolution will be improved: How will the revolution be improved? Retrieved March 17, 2026. (In Chinese) Retrieved from https://www.freightamigo.com

Harvard Business Review. (2025). Use AI to Stress Test Your Supply Chain. Harvard Business Review. Retrieved from https://www.hbrtaiwan.com/article/24494/

Iftikhar, A., Ali, I., Arslan, A., and Tarba, S. (2024). Digital innovation, data analytics, and supply chain resiliency: A bibliometric-based systematic literature review. Annals of Operations Research, 333(2/3), 825-848. Retrieved from https://doi.org/10.1007/s10479-022-04765-6

Kruger, S., and Schutte, C. (2026). Strategic considerations for digitalising humanitarian supply chains for resilience: A bibliometric analysis. Journal of Management and Organization. Retrieved from https://doi.org/10.1017/jmo.2026.1

Lamees, A., and Ramayah, T. (2025). How artificial intelligence-based supply chain analytics enable supply chain agility and innovation? An intellectual capital perspective. Supply Chain Management: An International Journal, 30(2), 233–249.

Retrieved from https://doi.org/10.1108/SCM-09-2024-0558

Liu, C., Wang, Y., Purvis, L., and Potter, A. (2026). Can digital twin technology enhance supply-chain resilience? A systematic literature review. Sustainability, 18(5), 2361. Retrieved from https://doi.org/10.3390/su18052361

Padovano, A., and Ivanov, D. (2025). Towards resilient and viable supply chains: a multidimensional model and empirical analysis. International Journal of Production Research, 63(17), 6252-6290. Retrieved from https://doi.org/10.1080/00207543.2025.1234567

Pettit, T. J., Fiksel, J., and Croxton, K. L. (2010). Ensuring supply chain resilience: Development of a conceptual framework. Journal of Business Logistics, 31(1), 1-21.

Retrieved from https://doi.org/10.1002/j.2158-1592.2010.tb00125.x

Qin, C., Shao, J., Li, F., and Li, J. (2026). Research on the impact of data assetization on supply chain resilience. Industrial Technology Economics, 45(2), 99-110. (In Chinese)

Retrieved from https://doi.org/10.3969/j.issn.1004-910X.2026.02.010

Stenman, L., Vinterskog Danielsson, O., and Enocson, K. (2025). Driving Through Disruption: An Analysis of Automotive Supply Chain Resilience Across Three Global Crises. Lund University Publications. Retrieved from https://lup.lub.lu.se/student-papers/record/9204275

Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J., Dubey, R., and Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356-365. Retrieved from https://doi.org/10.1016/j.jbusres.2016.08.009

Xu, M. (2025). Digital technology empowering trade facilitation and global supply chain vulnerability. International Trade Issues, (7), 39-56. (In Chinese) (Available from CNKI)

Xue, Y., Gao, W., and Feng, T. (2026). Data factor marketization, dynamic capability adaptation and supply chain resilience: Causal inference based on double machine learning. Journal of Harbin University of Commerce (Social Science Edition), (1), 3-19. (In Chinese) (Available from CNKI)

6Wresearch. (2025). Global Blockchain Supply Chain Market (2025-2031): Trends, Outlook & Forecast. Product Code: ETC13393253. Retrieved March 17, 2026, Retrieved from https://www.6wresearch.com/industry-report/global-blockchain-supply-chain-market