Explaining the Public-Private Partnership Model for Financing National Iranian Gas Company Projects Based on Structural Model and Kohunen Neural Networks

The purpose of this article is to explain the pattern of public-private partnership(ppp)financingof contracts in the National Gas Company of the country. The research method is applied in terms of purpose - mixed type (qualitative - quantitative) and exploratory method. Participants in the quality stage, staff specialists and senior managers of the National Iranian Gas Company, which was selected based on a simple random sampling method and a researcher-made questionnaire was used to collect information.In order to analyze the statistical data, in addition to the theoretical saturation principle, K-S test was used for data normality, Hoteling t-test, AMOS software and for model analysis, the model of structural equations and Cohennon neural networks were used. To confirm the content and form validity of the questionnaires, in addition to using the opinions of professors and experts, convergent validity and average explained variance index (AVE) were calculated. The results indicate ppp model is based on important components such as efficiency and technical knowledge, support and value-creating commitment and attention to elites and investors, the quality of performance and continuous monitoring inspection, attention to specialization and correctness of work, merit selection and discipline in work and reduction of administrative automation have been formed. Predictability neural network model for public-private partnership in financing projects of National Gas Company Iran has shown significantly The results indicate that in terms of financing, seven areas were identified, which are: individual, ethical, technical, administrative, organizational, communication, performance, each of which has sub-components that are appropriate for the financing system.