INNOVATION MANAGEMENT IN DEFENSE ORGANIZATIONS
Year:2020 | Volume:3 | Issue:2 (8)|Papers Count:7

Aviation Industry consider as an Engine of Sustainable Development in Economic, Social, Political and cultural Aspect of Countries. In this Study we are trying to Design an Entrepreneurial Ecosystem supporting Growth of Airlines and seeking answering this question: What are the characterizes of Entrepreneurial Ecosystem Suitable for Growth of Iranian Airline? We adopted a qualitative approach in this study. With choosing of descriptive attitude that all data hasn’ t been manipulated. Entrepreneurial Ecosystem texts together with the results of interviews with experts who were informed in Airlines business analyzed. We Recognized 13 main Emergence aspects of Entrepreneurial Ecosystem and providing contribution to this concept by Identification distinct aspects and associated construction such as Authority, Role of Government, Corporate Management and Knowledge Management. Passing the mimicry of famous entrepreneurial Ecosystem for achieving particular and unique format is essential step for well-knowing of this concept. Passing the mimicry of famous entrepreneurial Ecosystem for achieving particular and unique format is essential step for well-knowing of this concept and Facilities meeting requirement of elaborating of comprehensive model of Entrepreneurial Ecosystem.

Field and Purpose: uncertainty, constant external developments, changes in future economic conditions and lack of comprehensive structure have led to the expansion of foresight activities and the attention of organizations. The purpose of foresight is to identify areas of strategic research and new technologies, and the success of organizations requires a time horizon based on technological innovation and the proper allocation of resources. the importance of appropriate policy-making in improving the technological innovation of defense organizations. the present study investigates the future effects of innovation on innovation. Methodology: The purpose of this study is applied and in terms of nature and method of data collection, descriptive-a survey. The statistical population consists of 330 experts, academics and managers of defense organizations. The sampling method is simple and the data collection tool is a questionnaire. This study was used by structural equation modeling and LISREL software for data analysis. Funding: The results showed that foresight has a positive and significant effect on technological innovation. Also, the effect of the foresight variable on strategic and technological intelligence is significant. Besides, all research hypotheses are confirmed. Results: gaining competitive advantage and survival of defense organizations through continuous improvement of the technological innovation process is providing a framework for implementing foresight capabilities and developing strategic intelligence.

Background and Aim: Today, one of the key factors for the survival of manufacturing companies is the continuous promotion of innovative performance. Innovative performance maintains competitive advantage and organizational development. On the other hand, improving the technology of products, processes and workplaces is an important factor for corporate development. Since creating innovative performance requires the use of appropriate technology, pharmaceutical companies can achieve their goals by outsourcing and technology transfer strategies. Methodology: The present study was implemented in two studies using a qualitative-quantitative mixed research design. The hybrid approach in this study is anatomical mixed design. The statistical population of this study consists of 83 active pharmaceutical companies in Tehran. The quantitative design is a descriptive goal in terms of research strategy, survey and data collection methods. Accordingly, using Structural Equation Modeling and Partial Least Squares Technique (Smart-PLS 2) for analyzing the collected data, using quantitative-qualitative descriptive mixed design. Qualitative approach (using content analysis of semi-structured interviews to understand the hidden angles between variables and the topic of innovation in the pharmaceutical industry) has also been used in the present study. Findings and Conclusion: The results showed that technology transfer with outsourcing leads to improved organizational capabilities and ultimately enhances product and process innovation which in turn improves innovative performance. Also the results of the content analysis of the interviews indicate the sensitivity and necessity of paying attention to the innovation of the pharmaceutical industry in the current situation.

Context/Purpose: Technological innovation has a positive effect on firm performance and is one of the key factors for success and survival, particularly in technology-based industries. Firms have been focusing on the ways through which they can boost their innovations. This study aimed to investigate the effect of inter-firm synergies on firm’ s performance in technological innovation by considering the moderating roles of technological innovation capability and innovation strategy. Methodology: This descriptive study is a practice-oriented research using correlational method in data collection phase. The statistical population includes the subsidiaries of an Iranian technology-based organization in energy sector. Data were collected by a 50-item questionnaire with a 5-point Likert scale which its validity and reliability was confirmed. Hypotheses were tested using structural equation modelling (SEM) and partial least squares (PLS) technique, employing the SmartPLS Software. Findings: The results showed that inter-firm synergy significantly has a positive effect on firm’ s performance in technological innovation. We also found that both technological innovation capability and innovation strategy positively moderates the relationship between inter-firm synergy and firm’ s performance in technological innovation. Conclusion: As the findings showed, firms can increase their performance in technological innovation by exploiting inter-firm synergies. Building and Enhancing technological innovation capability and innovation strategy formulation and implementation will help them to better exploit of these synergies.

Strategic Entrepreneurship is a combination of entrepreneurship and strategic management that aims to gain competitive advantage by exploiting the resources and capabilities of the organization. Understanding relationship between strategic entrepreneurship and intellectual capital as two basic organizational concepts is very important. Strategic entrepreneurship includes the dimensions of entrepreneurial mindset, entrepreneurial culture, creativity and innovation, entrepreneurial leadership and strategic management of resources and intellectual capital including the dimensions of human capital, structural capital and communication capital. In this research, The main purpose is to explain the impact of intellectual capital and its dimensions on strategic entrepreneurship. Data analysis carried out using structural equation modeling by SmartPLS3 after collecting 78 software companies’ data. We used the standard questionnaire with 37 questions. The results show that intellectual capital with three dimensions of human, structural and relational has a positive and significant effect on strategic entrepreneurship. Therefore, these companies can focus on improving human capital, structural capital and communication capital in order to improve strategic entrepreneurship.

The main purpose of the present study is to design a model of entrepreneurship education in public universities in Tehran. This research is a qualitative-quantitative mixed-method research. The statistical population in the qualitative section consisted of 12 expert professors and experts who had been involved with the dimensions of the research problem and subject for many years of experience in universities. The sampling method in the qualitative section was snowball. The statistical population in the quantitative section includes 400 students and professors of selected public universities in Tehran who were selected by multistage cluster sampling. The data gathering tool in the qualitative part of the research was semi-structured interviews and in the quantitative part of the researcher made a questionnaire, to analyze the data in the qualitative part of the foundation data method which eventually led to the extraction of research indices and categories, and according to the indices. Extracted, a research questionnaire was developed which was used to determine the validity of the indices and model of research using CVR method. Pls software is also used in the quantitative part to analyze the data. The results show that infrastructure and capital as causal conditions, industry-university relationship as contextual, skills and competencies as intervening conditions, education as a core issue, support and promote entrepreneurial culture as strategies and create employment and increase welfare are productive outcomes in the public universities in Tehran.

Corporate growth is an important factor for economic growth. Therefore, choosing the right growth strategy is one of the most important issues in managerial decisions. Accordingly, the purpose of this study was to design a business growth strategy selection model based on Ansoff matrix using fuzzy inference system. To achieve the research goal, first based on the ANSF matrix, Factors affecting market product strategy selection are identified and then two-level fuzzy inference system designed to select the company's growth strategy. The statistical population of this research was chemical and chemical industries of East Azarbaijan province. The statistical sample is based on the sample of available 124 managers of these companies. A questionnaire was used to collect the data, which was distributed among the sample members after determining its validity and reliability. In order to analyze the data while using exploratory factor analysis, a fuzzy inference system based on triangular membership functions and Mamdani inference is used to formulate the model of choosing the growth strategy of the company. The research results show that the designed system is able to identify the right growth strategy for companies. Also, the results in determining the growth strategy of the companies show that for the surveyed community, the best growth strategy was market development.