Interpretive structural modeling of choosing a financing strategy for the supply chain of petrochemical industries

According to the purpose and nature, this research was a mixed research (qualitative-quantitative) in terms of method. Also, since this research aims to design a framework for optimizing financing solutions in the supply chain of petrochemical industries, with an emphasis on financing strategies and capital structure, it is exploratory. The statistical population of the qualitative part is academic experts and senior managers of petrochemical companies located in the Special Economic Zone of Bandar Mahshahr Petrochemical and the statistical population of the quantitative part of the research includes managers and experts of petrochemical companies located in the Special Economic Zone of Petrochemical Bandar Mahshahr. The sample size was determined in the qualitative section until data saturation and in the quantitative section based on Cochran's formula, and random cluster sampling was used to select the samples. The data was analyzed with SPSS and Pls software. The results showed that according to the influence-dependence diagram, the variable "factors related to the company's strategy" has a high influence and has a low influence, and it is in the area of independent variables. The variables of "Using new communication and information technologies" have a high influence and degree of dependence, so they are linked variables. The two variables "business operating system and financing methods" also have high dependence but little influence, so they are considered dependent variables. The variable "factors related to the company" is also placed in the first quarter, which is the autonomous region.