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 |
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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 |
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Abbreviated title | EurOMA 2016 |
Country/Territory | Norway |
City | Trondheim |
Period | 17/06/16 → 22/06/16 |