Artificial intelligence in supply chain resilience: A systematic literature review

dc.contributor.authorHillard, Joseph
dc.date.accessioned2025-08-07T16:25:25Z
dc.date.available2025-08-07T16:25:25Z
dc.date.issued2025
dc.description.abstractAs a research student, I have been involved in conducting a systematic literature review that examines the role of artificial intelligence in enhancing supply chain resilience. My work involved screening and analyzing over 900 academic papers, focusing on those that specifically related to the implementation of AI in supply chain resilience. I began by reviewing titles and abstracts and then conducted a full-text screening to ensure the papers aligned with the research topic. Once the relevant papers were compiled, I extracted key information from each paper and synthesized it into a comprehensive Excel database. Each paper was categorized by AI methodology, supply chain sectors, objectives, challenges, and future research directions. Using this information, I then created visualizations to highlight commonalities and present them.
dc.description.reviewstatusReviewed
dc.description.scholarlevelUndergraduate
dc.description.sponsorshipValerie Kuehne Undergraduate Research Awards (VKURA)
dc.identifier.urihttps://hdl.handle.net/1828/22563
dc.language.isoen
dc.publisherUniversity of Victoria
dc.subjectartificial intelligence
dc.subjectsupply chain resilience
dc.subjectAI methodologies
dc.subjectsystematic literature review
dc.subjectpredictive analytics
dc.subject.departmentPeter B. Gustavson School of Business
dc.titleArtificial intelligence in supply chain resilience: A systematic literature review
dc.typePoster

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