Weighted Interpretive Structural Modeling for Supply Chain Risk Management: An Application to Logistics Service Providers in Turkey

Background: The aim of this paper is to introduce weighted interpretive structural modeling approach supply chain risk management efforts by presenting an application identify micro risks logistics service providers at the industry level in Turkey. Methods: In research, eighteen factors sector have been identified through both literature review and recommendations from a group academicians experts sector. A survey was conducted rank these risks. They were further analyzed (WISM) order demonstrate mutual relationships among Results: Finally, using WISM approach, analysis driving dependence power factors. This study covers variety micro-risk demonstrates them clusters based on their power. Conclusions: Such clustering helps us those that affect others are paramount importance mitigation.