seyed javad rezaei

The confrontation and enmity of America against the Islamic Republic of Iran is one of the vital and important issues in international relations. This confrontation has wide-ranging effects on the West Asian region and even the international arena. After the Islamic Revolution of Iran in 1979, this confrontation appeared more widely. It has led to tensions, sanctions and even military conflicts. In this research, the researchers have investigated the drivers of the possible military confrontation of the United States against the Islamic Republic of Iran in the West Asian region in the next 10 years. The research method is based on the Qualitative-Quantitative approach and using the analysis of existing documents and Cross-impact analysis (CIA) with the help of MicMac software. In the first part of the research, with the help of library studies and using the opinions of experts, 12 main drivers affecting the possible military confrontation of the United States against the Islamic Republic of Iran were identified. In the second part, with the help of Cross-Impact Analysis Method (CIAM), the main key drivers were identified. The results show that based on the analysis of the results of the Matrix of Direct Influence (MDI) and the analysis of the Matrix of Indirect Influence (MII) of these drivers are: "Military Alliance", "Naval Conflict", "War Scope", "Military Power" and "Air Attacks". They have the greatest impact on the possible military confrontation of America against the Islamic Republic of Iran. They are among the most important drivers.

In the country's policy-making and decision-making arena, many new and dynamic issues are faced by the country's research agents. To solved these problems, must be prepared a cycle between the most theoretical layers and the most operational layers. By designing and formulating the wisdom ecosystem model in the field of decision-making, it is possible to create this operational cycle that prepares the back and forth between these levels. This research was carried out with the objectives of "compilation of the ecological model of wisdom in the field of decision-making of research organizations" with a mixed approach and with an exploratory and contextual method. The two statistical populations of this research are: a) the general research community; 25 people with special characteristics, and b) expert society; There were 15 experts who formed the panel group and tried to produce literature by holding brainstorming sessions and summarizing the mentioned cases, they completed the conceptual model of the research. Based on this research, the dimensions and components of wisdom ecosystem in the field of decision-making of Iranian research organizations are: Senior managers (wise judgment, foresight and insight, rationality, applying experiences, understanding the correlation of affairs, understanding issues), Environment (communication channels, dynamics, external knowledge), Knowledge centers (human resource management, human resources, organizational culture, knowledge management, strategy and leadership, decision-making and policy-making), Actors (universities and research centers of the country, government, industry, Supreme National Security Council, Islamic Council and foreign actors), and upstream documents (laws and regulations, modern Islamic civilization, S&T document and ...).

Today, with the rapid changes and the short life cycles of technologies, the role of Educational - Research Centers (ERCs) in enhancing the power of scientific, industrial and social has become stronger than ever. ERCs provide a suitable platform for the production, development and dissemination of science and technology and in the country creation of an atmosphere of innovation; They are building ecosystem of inovation through the discovery, creation and production of science and technology and the establishment of the flow of knowledge and information and its exchange among research and industrial actors. Therefore, ERCs need to use a measure model's to innovation and maturity in yourself ecosystem. In this research, based on the literature review and expert's opinion poll, six main indicators were identified for measuring the ecological indicators of Innovation in the ERCs include: innovation culture, development and infrastructures of innovation, networking, innovation processes, human resources and policies and strategies. After confirming the indices, an innovation ecosystem  measurement model proposed; and based on this model, the level of innovation ecosystem maturity measured. The final results of the innovation ecosystem maturity measure show that the average of all innovation indicators is less than the theoretical average. The only human resource factor of the organization be close to average and Desirable index. Therefore, in this respect, the studied organization has weaknesses and shortcomings in the selected indicators of innovation ecosystem.