Publicação
Managing risks in supply chain: challenges, impacts, and mitigation strategies when integrating Artificial Intelligence and machine learning
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Faroleiro, Paulo | |
| dc.contributor.author | Bisceglia, Rosalia | |
| dc.date.accessioned | 2025-07-22T08:57:17Z | |
| dc.date.available | 2025-07-22T08:57:17Z | |
| dc.date.issued | 2025-03-07 | |
| dc.date.submitted | 2025-01-06 | |
| dc.description.abstract | 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. | pt_PT |
| dc.identifier.tid | 203958900 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/185430 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | UID/ECO/00124/2013 | pt_PT |
| dc.subject | AI risks | pt_PT |
| dc.subject | Supply chain management | pt_PT |
| dc.subject | Machine learning transparency | pt_PT |
| dc.subject | Data governance | pt_PT |
| dc.subject | Cybersecurity in SCM | pt_PT |
| dc.title | Managing risks in supply chain: challenges, impacts, and mitigation strategies when integrating Artificial Intelligence and machine learning | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Work Project, presented as part of the requirements for the Award of a Master’s degree in Management from the Nova School of Business and Economics | pt_PT |