Publicação
Integrating Artificial Intelligence in supply chain management - implications for sustainability and global trade
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Faroleiro, Paulo | |
| dc.contributor.author | Habitzreuther, Vincent Stefan | |
| dc.date.accessioned | 2025-09-02T15:58:31Z | |
| dc.date.available | 2025-09-02T15:58:31Z | |
| dc.date.issued | 2025-06-27 | |
| dc.date.submitted | 2025-05-21 | |
| dc.description.abstract | This thesis explores how integrating Artificial Intelligence (AI) can impact Supply Chain Management (SCM) on organizational, technological, and external dimensions. Based on a qualitative study through eight expert interviews, it examines those three dimensions and how they affect sustainability and global trade dynamics. The results show that AI offers clear benefits in forecasting, efficiency, and emissions reduction, but only when certain factors are met. This study bridges the gap between theory and practice by providing firms with insights to enhance supply chain resilience and competitiveness in an increasingly digital and sustainable global world. | pt_PT |
| dc.identifier.tid | 203990226 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/187417 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | UID/ECO/00124/2013 | pt_PT |
| dc.subject | Artificial Intelligence | pt_PT |
| dc.subject | Supply chain management | pt_PT |
| dc.subject | Global trade | pt_PT |
| dc.subject | Sustainability | pt_PT |
| dc.subject | Digital transformation | pt_PT |
| dc.title | Integrating Artificial Intelligence in supply chain management - implications for sustainability and global trade | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | A 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 |