Article ID: | iaor20112310 |
Volume: | 8 |
Issue: | 2 |
Start Page Number: | 152 |
End Page Number: | 166 |
Publication Date: | Feb 2011 |
Journal: | International Journal of Logistics Systems and Management |
Authors: | Kersten Wolfgang, Hohrath Philipp, Boeger Mareike, Singer Carolin |
Keywords: | risk, statistics: empirical, simulation: analysis |
Nowadays companies are faced with an increasing risk exposure. This is mainly caused by a greater dependence of supply chain partners on each other, e.g., due to the close integration of their business processes aiming at the reduction of channel inventory. Based on findings from the literature and results from an empirical investigation, a model for an inter‐organisational risk management process is introduced. It is shown how a top‐down approach can be used as a methodology for efficient risk identification. In addition an empirical‐based evaluation of supply chain risk sources and risk mitigation measures is integrated in this model.