چكيده به لاتين
Our country, Iran, like other resource-driven economies, is trying to consume its natural resources for innovation as an economic growth factor. Therefore, to achieve a sustainable economic growth independent of oil wealth, efficient innovative solutions must be applied. This can be achieved by focusing on innovation at the heart of the competitive strategy of Iranian organizations and companies. However, the inherent ambiguity and uncertainty of innovation complicate the understanding of the efficiency and risk of innovative activities in the form of Ps, programs, business tactics, etc. within the framework of the organization's strategy. This issue becomes more complicated when decision-makers lack sufficient mastery of technology and its uncertainties. Conversely, those who are proficient in technology often lack the managerial and strategic skills to communicate with managers. Therefore, the lack of tools and the process of facilitating the exchange of information between these two groups greatly weakens the connection between technology planning and strategic management. This dissertation aims to create a bridge between these two groups so that the best decision can be made by creating a convergence between them. This dissertation uses the knowledge of the technical team to understand the position of innovative activities in the organization's innovation strategy, taking into account aspects such as knowledge, type of innovation, and the innovation process as a framework for translating the organization's strategy to risk level and acceptable efficiency. The provided information would help managers for the strategic alignment of innovative activities. The distinguishing feature of the results of this dissertation from previous research is that it provides a criterion for accepting or rejecting an activity by measuring the efficiency of innovation in uncertainty, providing a framework for translating the organization's strategic approach to activity innovation from an efficiency and ambiguity perspective. This research introduces a new perspective on the combined probability of success-failure to innovation for the first time in the calculation of innovation risk and introduces a new measure called performance probability. It also introduces alternative solutions to fuzzy credibility.
