دکتر سید جواد رضایی

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.

Today, Science and Research Centers (SRCs) by establishing flow of knowledge and information and exchanging it among industry players can provide an appropriate platform for the production, development and dissemination of science and technology and creating an atmosphere of innovation in the country. Therefore, SRCs need to use a model to measure innovation and its maturity. In this research, based on the literature review and experts’ opinion, six main indicators were identified: innovation culture, development and infrastructures of innovation, networking, innovation processes, human resources and policies and strategies of a Defense Scientific and Research Centers (DSRCs). After confirming the indicators, by using the factor load of questions and the average of comments, the importance of each item and its performance were identified, respectively. Then, using the importance-performance matrix, the variables were measured and guidance strategy of each index based on the importance-performance matrix analysis was proposed. This research in terms of purpose is applied and in terms of nature and research method is descriptive-survey. The final results show that the average of all innovation indicators is less than the theoretical average. The only HR Factor of the institution is close to average and desirable index.

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.

Accurate understanding of knowledge requirements is one of the features of competitiveness mechanisms in the Organization. The existence of knowledge management entity in an organization emphasizes its importance on achieving sustainable competitive advantage. In this study, effective and key indicators to improve knowledge management strategy in the Tarasht power plant to achieve the organizational goals, by referring to similar internal and external studies, were identified. Then, by using efficient DEMATEL method, a framework of factors was identified along with the relationships of affectivity and cross-effectiveness. Finally, important and effective factors to improve the knowledge management strategy in the case study firm were identified. The statistical population of this study is the expert staff in the field of knowledge management in the organization. The main tool for data collection in this study is questionnaire. In this regard, after identifying the criteria of the subject, their causal relationships by experts were examined. Data by using DEMATEL method were analyzed. The results showed that most important factors are: teaching and learning, staff participation and human resource empowerment. Indicators of top management support, organizational structural infrastructure, information technology infrastructure and organizational culture are among the influential factors; and other factors such as education and learning, employee engagement, and goals and strategies are influential factors. The purpose of these factors is to enhance and improve the knowledge management strategy in the organization