Validation the intelligence Model of Petrochemical Industry Parent Co.

The importance of petrochemicals as the largest private sector in the country in terms of value creation for subsidiaries and the use of a smart model is of paramount importance. The purpose of this study was to present and validate the intelligence model of the petrochemical firm's parent firm and provide related solutions. The research is of mixed type which is interviewed by managers in petrochemical industry through snowball sampling and the interviews continued until a theoretical saturation of 23 interviews was reached. Research propositions were analyzed using the data base method and MAXQDA software. The statistical population includes 462 managers of the Persian Gulf Petrochemical Company. In the quantitative part, a researcher-made questionnaire was distributed among 90 managers of the subsidiaries at different levels. Finally, 82 questionnaires were identified for proper analysis. Factor analysis was performed using SPSS and WarpPLS software to analyze quantitative data. The intelligence model of the petrochemical firm specializes in 550 open source code divided into 95 common propositions. The propositions at this level are divided into 13 main categories and 4 concepts that include concepts: strategic decisions (with a beta coefficient of 0.979), tasks, services and resources (0.987), creator / creators of capital and structures (0.974), systems and processes (0.980). The beta coefficients obtained from the data analysis in the quantitative section indicate the high importance of each of the concepts and quantities of fit and factor analysis to confirm the model.