Abstract
Over the past decade practitioners and researchers have become increasingly focused on managing risks in extended supply chains. Whether these risks involve supply disruptions, financial liabilities for a supplier’s actions, or large market shifts; Grey Swan events, defined as unforeseen low-probability high-impact events, have the capacity to severely damage or create opportunities for a firm as well as its trading partners. Using two network parameters, density and centralization, and four examples we develop a typology to help SC managers identify grey swan events and then position a firm in the network for survival and possibly new opportunities.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 23rd EurOMA Conference (EurOMA 2016) |
| Place of Publication | Trondheim, Norway |
| Pages | 1-8 |
| Number of pages | 8 |
| Publication status | Published - Jun 2016 |
| Event | 23rd EurOMA conference - Norwegian University of Science and Technology , Trondheim, Norway Duration: 17 Jun 2016 → 22 Jun 2016 |
Conference
| Conference | 23rd EurOMA conference |
|---|---|
| Abbreviated title | EurOMA 2016 |
| Country/Territory | Norway |
| City | Trondheim |
| Period | 17/06/16 → 22/06/16 |
Fingerprint
Dive into the research topics of 'Bagging grey swans: A supply network approach to identifying and managing low-probability high-impact supply chain events'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver