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Impact of Supply Chain Agility and Collaboration on Supply Chain Performance: The Moderating Role of Artificial Intelligence

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Supply chain resilience is not a novel concept in the supply chain industry; however, its significance importance is increasing, especially in the face of global disruptive events like natural and man-made disasters. Agility and collaboration are critical supply chain resilience elements for enhancing supply chain performance. However, the influence of artificial intelligence (AI) on the impact of agility and collaboration on performance remains unexplored. Therefore, the major objective of this study was to examine the impact of supply chain agility and collaboration on supply chain performance within the healthcare sector in Qatar. In the same vein, it examined the moderating role of AI in these relationships. The study utilized 564 responses from supply chain and clinical unit managers in Qatar and was analysed using the partial least squares (PLS) path modelling technique. The findings of the study indicate a significant positive relationship between supply chain agility, collaboration, and performance. Furthermore, these relationships are found to be positively moderated by AI. This study supports the research paradigm and provides evidence regarding supply chain agility and collaboration and their impact on supply chain performance. More importantly, this study is among the first to provide empirical evidence on the moderating role of AI in enhancing these relationships.
Title: Impact of Supply Chain Agility and Collaboration on Supply Chain Performance: The Moderating Role of Artificial Intelligence
Description:
Supply chain resilience is not a novel concept in the supply chain industry; however, its significance importance is increasing, especially in the face of global disruptive events like natural and man-made disasters.
Agility and collaboration are critical supply chain resilience elements for enhancing supply chain performance.
However, the influence of artificial intelligence (AI) on the impact of agility and collaboration on performance remains unexplored.
Therefore, the major objective of this study was to examine the impact of supply chain agility and collaboration on supply chain performance within the healthcare sector in Qatar.
In the same vein, it examined the moderating role of AI in these relationships.
The study utilized 564 responses from supply chain and clinical unit managers in Qatar and was analysed using the partial least squares (PLS) path modelling technique.
The findings of the study indicate a significant positive relationship between supply chain agility, collaboration, and performance.
Furthermore, these relationships are found to be positively moderated by AI.
This study supports the research paradigm and provides evidence regarding supply chain agility and collaboration and their impact on supply chain performance.
More importantly, this study is among the first to provide empirical evidence on the moderating role of AI in enhancing these relationships.

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