Artificial intelligence (AI) and big-data technologies could help logistics companies better handle supply chain disruptions by making them more agile and resilient, according to a recent study published in the International Journal of Business Performance and Supply Chain Modelling. The research is based on responses from nearly 300 logistics professionals in Indonesia. The researchers used a statistical method called partial least squares structural equation modeling to analyze how different factors influence supply chain performance. This technique is useful for exploring complex relationships between variables. The study found that digital capabilities—such as AI and big data—can help logistics companies detect disruptions earlier, improve forecasting and decision-making, optimize delivery routes, and respond more quickly to changes in their environment. These disruptions include events like natural disasters, geopolitical conflicts, trade restrictions, labor disputes, regulatory changes, and energy shortages. However, the researchers emphasize that technology alone isn't enough. Companies must also be able to use data and automated insights to adapt quickly and reallocate resources effectively. The research is based on the concept of dynamic capabilities, which suggests that organizations need to constantly identify changes in their environment, seize opportunities, and reorganize resources as needed. While the study focused on Indonesia and a single point in time, the researchers believe the findings could apply to other regions as well. They suggest that further studies across different countries and over longer time periods are necessary to confirm these results. The study, titled "Investigating the impact of AI and big data capabilities on supply chain performance: the mediating role of agility and resilience," was authored by Darjat Sudrajat and others. It was published in the International Journal of Business Performance and Supply Chain Modelling in 2026.