limitedDistribution · Industry Research
Full article: Alternative paths to supply chain resilience
The study explores how SMEs and large enterprises adapt to supply chain disruptions, emphasizing the role of structural contingency theory. It highlights the importance of flexibility and adaptability in maintaining supply chain resilience. The research suggests that leveraging AI and machine learning can significantly enhance the ability to predict and respond to disruptions, thereby improving overall supply chain efficiency and resilience.
Stargo's Stardox platform enhances supply chain resilience by transforming unstructured data into actionable insights, leveraging AI for predictive disruption management.
Executive Summary
Grounded in structural contingency theory, this study examines how SMEs and large enterprises respond to supply chain disruptions, focusing on differences and similarities in their approaches. The research underscores the critical role of flexibility and adaptability in maintaining supply chain resilience. It suggests that the integration of AI and machine learning technologies can significantly enhance the ability to predict and respond to disruptions, thereby improving overall supply chain efficiency and resilience. The study provides insights into the strategic use of technology to bolster supply chain operations.
Source: www.tandfonline.com
Original Article: https://www.tandfonline.com/doi/full/10.1080/09537287.2026.2625173
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