Investigating Structural Relationships of Sustainable Supply Chain Management Drivers in Persian Gulf Petrochemical Industries

Today, ensuring the sustainable development of any organization depends on the Optimal conservation and utilization of limited resources and irreplaceable for sustainable Social and Economic Development in that country. For this reason, sustainable supply chain management has become an interesting topic for researchers and industry managers. The purpose of this study is to determine the relationships and levels of sustainable supply chain management incentives. The statistical population of the study is Persian Gulf petrochemical industry. The research method was descriptive-analytical. From the research literature, 12 instances of sustainable supply chain management incentives were identified. Then, by collecting data and determining the relationship between drivers, using interpretive structural modeling and MicMac are analyzed. The results of this study showed that third level metrics including information technology empowerment, institutional pressures, social values and ethics, and commitment and strategy of the company were the influencing factors on other criteria. Also green inventory variables, strategic supplier partnerships, environmental conservation, continuous improvement, internal pressures, economic stability and green product design are affected by other variables and in themselves have no effect on other factors. Logistic optimization criterion is also influenced by level 3 variables and affects level 1 variables. in the MicMac analysis, the results also indicate that the variables of all three levels are considered to be link interface variables. And that means they are highly influential, and every small change to these variables causes a major change in the system.