A Framework Based on Blockchain, Artificial Intelligence, and Big Data Analytics to Leverage Supply Chain Resilience...

Area of Science:

• Supply Chain Management
• Disaster Management
• Information Technology

Background:

• Global supply chains face increased risks due to interconnectedness.
• The COVID-19 pandemic caused unprecedented disruptions, impacting goods flow and creating shortages.
• Firms need effective strategies to adapt operations during and after disruptions.

Purpose of the Study:

• To propose a novel framework for mitigating supply chain disruptions.
• To leverage Artificial Intelligence, Blockchain, and Big Data Analytics for supply chain resilience.
• To provide new categorizations and insights for scholars and practitioners on using cutting-edge technologies.

Main Methods:

• Development of a conceptual framework integrating AI, Blockchain, and Big Data Analytics.
• Analysis of supply chain vulnerabilities and resilience strategies.
• Literature review and synthesis of existing research on technology adoption in supply chains.

Main Results:

• A proposed framework designed to enhance supply chain adaptability and robustness.
• Identification of key technological components for managing disruptions.
• Novel categorizations to guide the application of advanced technologies.

Conclusions:

• The integration of AI, Blockchain, and Big Data Analytics offers a promising approach to managing supply chain disruptions.
• The proposed framework provides a foundation for building more resilient supply chains.
• Further research is needed to validate and implement the proposed strategies in real-world scenarios.