The Mediating Role of Supply Chain Agility in the Impact of Artificial Intelligence on Supply Chain Management Success in the Healthcare Sector of Mubadala, UAE

Jawaher Adnan Ali Mohammed Alkhawaja, Norliana Sarpin

Abstract


In an era where digital transformation is redefining healthcare operations, understanding how emerging technologies like artificial intelligence (AI) enhance supply chain effectiveness is both timely and critical. This study investigates the mediating role of supply chain agility in the relationship between AI application and supply chain performance outcomes within the healthcare sector of Mubadala, UAE. A quantitative design was adopted, drawing on 305 valid survey responses from employees across Mubadala healthcare facilities. Using Partial Least Squares Structural Equation Modelling (PLS-SEM), the results reveal that AI Application Elements have a strong positive effect on Supply Chain Agility (β = 0.614) and a moderate direct impact on Supply Chain Performance Outcomes (β = 0.332). Supply Chain Agility also demonstrates a significant positive influence on performance outcomes (β = 0.438) and partially mediates the relationship between AI and performance (indirect effect β = 0.269). This study makes a key contribution by empirically validating a digital transformation model that integrates AI capabilities with operational agility to drive measurable improvements in healthcare supply chains. It offers practical insights for decision-makers seeking to enhance supply chain responsiveness and efficiency in rapidly evolving healthcare environments.


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DOI: https://doi.org/10.5296/ijssr.v13i3.23330

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