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Artificial intelligence and prescriptive analytics for supply chain resilience: a systematic literature review and research agenda
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Artificial intelligence and prescriptive analytics for supply chain resilience: a systematic literature review and research agenda (2024)Artificial intelligence and prescriptive …The PRISMA 2020 statement: An updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: An…How to properly use the PRISMA Statement (2021)How to properly use the PRISM…Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. 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References

  • 2021The PRISMA 2020 statement: An updated guideline for reporting systematic reviews11,672 cited
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  • 2018

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Supply chain risk management and artificial intelligence: state of the art and future research directions
1,024 cited
  • 2020Artificial intelligence in supply chain management: A systematic literature review1,015 cited
  • 2019Digital servitization business models in ecosystems: A theory of the firm1,000 cited
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    • 2025Intelligent Supply Chain Management: A Systematic Literature Review on Artificial Intelligence Contributions86 cited
    • 2025Supply Chain Resilience: A Critical Review of Risk Mitigation, Robust Optimisation, and Technological Solutions and Future Research Directions77 cited
    • 2025Agentic LLMs in the supply chain: towards autonomous multi-agent consensus-seeking45 cited
    • 2025A Systematic Review of Artificial Intelligence (AI) and Machine Learning (ML) in Pharmaceutical Supply Chain (PSC) Resilience: Current Trends and Future Directions43 cited
    • 2024Transforming performance: how agility, response, resilience and support shape success in digital strategies40 cited