Prioritizing the Components of National Innovation Management Models in the Process Cycle of Sustainable Development Standards by Structuring Sustainable Ecosystems

Natural effects and social phenomena are not unchanging, but are the result of a combination of mental patterns, semantic structures, and ultimate approaches. Furthermore, they are constantly changing and are consistent with dialectical interactions, thus relating, limiting, and conditioning each other. Respect for the environment is a sign of the positive impact of citizenship rights on both managers and citizens. By considering the fact that the innovative performance of each country is determined by its national innovation system and due to the developments in the Islamic Republic of Iran, the conditions should be observed in such a way that the priorities of the national innovation management system guarantee sustainable ecosystems and determine, on a larger scale, complex structures. Structuring the priorities of the national innovation management system and the formation of substrates consistent with this structuring is inevitable. By considering the time requirements, capacities and public awareness of the process of growth, development, and progress of the country, the components of national innovation management models will improve by promoting the competitiveness in the country. Furthermore, enhancing the quality and standards of living, ensuring sustainable environment, human resource development, and social development will be reflected in the process cycle of sustainable development standards. The data were collected by a researcher-made questionnaire which was ordered based on the 5-point Likert scale, including 5 responses of very high, high, average, low and very low. The statistical population of the study included all individuals in sustainable ecosystems in the Islamic Republic of Iran. In this research, the target sample encompassing all individuals in sustainable ecosystems in Mazandaran province was estimated to be 384 individuals. The data of the research were analyzed and compared using statistical techniques of structural equation and artificial neural network modeling. The findings indicated that all dimensions, components, and variables of the conceptual model of the present research are explained in the prioritization of national innovation management models based on variables of sustainable ecosystems. Future researchers are recommended to use more sophisticated algorithms for the application of structural models to fit systematic models. Since national innovation management models have many complex variables, more advanced methods such as artificial neural networks should be employed to estimate these variables.