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Managing risks in supply chain: challenges, impacts, and mitigation strategies when integrating Artificial Intelligence and machine learning
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| 1.06 MB | Adobe PDF |
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Resumo(s)
This research explores the development of artificial intelligence (AI) and machine learning
(ML) in supply chain management (SCM), taking into consideration their transformational
potential and inherent risks. By analyzing data from surveys and interviews conducted with
managers of various sectors, the research identifies three critical risks: data quality, cyber
security and transparency. The findings provide the need for strong data governance, proactive
cybersecurity measures and the adoption of AI frameworks that can be explained to improve
confidence and efficiency. Recommendations include sector-specific risk management
strategies, inter-departmental collaboration and ethical guidelines. This research provides
insights to optimize AI and ML adoption in SCM, mitigating associated risks.
Descrição
Palavras-chave
AI risks Supply chain management Machine learning transparency Data governance Cybersecurity in SCM