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Generative AI in Action: Strengthening Supply Chain Resilience
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DOI：10.1002/sd.71542.png)
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Abstract
En 中文
Generative artificial intelligence (Gen AI) has changed how businesses manage their supply chains by giving them new ways to use data to enhance decision-making and improve their resilience, unlike regular automation systems, which only work within pre-established parameters. While past studies acknowledge the influence of Gen AI on supply chain operations and management, the majority of studies have concentrated on its general implications, failing to thoroughly investigate the impact of Gen AI on supply chain resilience (SCR). The domain of Gen AI and SCR is still in its nascent stages, highlighting the necessity for a comprehensive bibliometric study and conceptual frameworks. This research work has used a bibliometric analysis of 299 articles from the Web of Science and Scopus databases up to December 2025. This research work also performed a systematic literature review of 37 articles and suggested a research framework for future researchers. It reveals that Gen AI has a significant impact on SCR and supply chain optimization to improve the predictive capability of the supply chains and finally impacts the overall supply chain performance. This study is a very useful resource because it shows where there are gaps in existing research, suggests new directions for research, and gives practical advice on how to put these ideas into practice in the industry.
Keywords:
bibliometric analysis
generative artificial intelligence
supply chain performance
supply chain resilience
thematic analysis
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