Keywords

Industry 4.0, Digital Twin, Cyber-security, Supply Chain Resilience, Artificial Intelligence (AI), Internet of Things (IoT), Block chain, Big Data Analytics, Cloud Computing Agility, Visibility, Risk Management,” Predictive Analytics.

Abstract

Supply chains must navigate unprecendently high levels of volatility, complexity and disruption amid the highly dynamic yet interconnected global environment of today. Weaknesses of traditional supply chain systems have been highlighted through events such as the COVID-19 pandemic, geopolitical tensions, climate change and cyber-attacks. As a result, supply chain resilience – companies being able to anticipate, absorb and recover from disruptions – has become a key strategic focus for companies operating across different industries. Digital transformation: A key driver of resilience One of the most powerful enablers for this resilience is digital transformation — the embedding of advanced digital capabilities within core business processes. This research explores the intricate dynamic between digital transformation and supply chain resiliency, by analyzing the synergistic impacts of enabling technologies such as AI, IoT, blockchain, big data analytics and cloud computing in enhancing the flexibility, agility and resilience in a supply chain networks. The rise of digitization, is facilitating the development of intelligent, networked supply chain ecosystems that collect and analyze data instantaneously to drive decisions.

Cite this Article

Sergio Garner, Josef Skorkus , 2026. "Digital Transformation and Supply Chain Resilience", International Journal of Economics, Business, Management Research Intelligence (IJEBMRI) 1(1): 1-16.