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This paper focuses on exploring the impact of artificial intelligence (AI) on supply chain resilience (SCR) through a review of the existing literature. To address the gap of AI on SCR, this study focused on answering the following two research questions: (1) What is the role of AI technologies in SCR? (2) What are the key ethical and social implications of AI that arise in the process of enhancing SCR?<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>This study collected relevant data available in the existing literature from peer-reviewed journals and articles on supply chain and AI. The study employed a systematic literature review (SLR) and qualitative thematic analysis to identify the key themes that generate relevant findings.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The study\u2019s findings highlight that AI\u2019s role in enhancing SCR is important in several areas, such as improved demand and supply forecasts, accurate problem-solving, increased efficiency of tasks and improved customer services, amongst others. However, AI does not come without limitations. Although it improves the resilience of supply chains, it also leads to ethical and social implications related to job displacement, privacy and security, biases and transparency.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Research limitations\/implications<\/jats:title><jats:p>The study offers intriguing insights into closing the disparity between theory and practice, utilising a systematic approach to demonstrate how AI impacts the resilience level of supply chains.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>This study presents the positive impact that AI technologies have on enhancing the resilience of supply chains. Although there are challenges and ethical and social implications because of AI implementations, supply chains benefit from the use of AI and big data.<\/jats:p><\/jats:sec>","DOI":"10.1108\/jeim-12-2023-0674","type":"journal-article","created":{"date-parts":[[2025,3,15]],"date-time":"2025-03-15T15:19:31Z","timestamp":1742051971000},"page":"950-973","source":"Crossref","is-referenced-by-count":36,"title":["The role of artificial intelligence on\u00a0supply chain resilience"],"prefix":"10.1108","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-4641-0633","authenticated-orcid":false,"given":"Katerina","family":"Beta","sequence":"first","affiliation":[]},{"given":"Sakthi Shalini","family":"Nagaraj","sequence":"additional","affiliation":[]},{"given":"Tharindu D.B.","family":"Weerasinghe","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2025,3,18]]},"reference":[{"issue":"2","key":"key2025040118573109300_ref001","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s12597-023-00728-y","article-title":"Maintaining effective logistics management during and after COVID-19 pandemic: survey on the importance of artificial intelligence to enhance recovery strategies","volume":"61","year":"2024","journal-title":"Opsearch"},{"issue":"1","key":"key2025040118573109300_ref002","doi-asserted-by":"publisher","DOI":"10.1016\/j.fhj.2024.100005","article-title":"Blockchain: what is the use case for physicians in 2024? 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