Author/Authors :
Ashtiyani ، Mohammadreaza Supreme National Defense University , Porsadegh ، Naser Supreme National Defense University , Rezaei ، Javad National Defense University
Abstract :
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 ...).
Keywords :
Wisdom Ecosystem , Research Organizations , Knowledge Management , Decision Making