a model for relationship of supply chain risks in iran’s petrochemical industry

in a complex and volatile environment of the supply chain, any attempt to reduce the risks may increase or decrease other risks; thus, achieving an overall picture of the risks of supply chain and relationships between them are necessary and will lead to more effective and comprehensive strategy to response to risks. the purpose of this paper is identifying and extracting the potential risks of supply chain relationships using interpretive structural modeling (ism) approach. in order to do that, first an in-depth literature review has done and experts opinions with content validity has used, and then, the ism model representing the structure of risks relationship has extract and the final model has statistically tested using path analysis. the results show that the external environment supply chain risks (natural risks, political/social, policy and macroeconomic), at a low levels of the model, have the most driving power and organizational risks (operational, financial, strategic, liability and organizational culture and employee), at the top the model, are the most dependent risks. industrial risks (market and product competition; market inputs, communications and collaboration).