| Publisher DOI: | 10.5281/zenodo.15479692 | Title: | Integration of artificial intelligence in supply chain risk and disruption management : analysis and concept development of a LLM-based event identification system | Language: | English | Authors: | Neumann, Pia Wagenitz, Axel Motta, Marco |
Keywords: | Supply Chain Management; Risk Management; Large Language Model (LLM); Artificial Intelligence | Issue Date: | 21-May-2025 | Publisher: | CERN, Erasmus University | Part of Series: | IPSERA 2025 “Room for Talent” : Book of abstracts (accepted papers), Rotterdam, the Netherlands, March 30 - April 2 | Journal or Series Name: | Zenodo : research shared | Startpage: | 333 | Endpage: | 336 | Conference: | The International Purchasing and Supply Education and Research Association 2025 | Abstract: | The increasing complexity and vulnerability of global supply chains, particularly in the automotive industry, have prompted significant concerns regarding supply stability. Recent disruptions, exemplified by the Covid-19 pandemic and the Suez Canal blockade, have underscored the critical need for effective supply chain risk management (SCRM) practices. This paper addresses the existing gap in leveraging diverse data sources to enhance supply chain visibility and resilience. |
URI: | https://hdl.handle.net/20.500.12738/17887 | Review status: | This version was peer reviewed (peer review) | Institute: | Fakultät Wirtschaft und Soziales Department Wirtschaft |
Type: | Working Paper |
| Appears in Collections: | Publications without full text |
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