rahmatollah gholipour souteh

One of the requirements for the development of societies and organizations is innovation, change in policies and policies, and the use of creative models in decision making. To achieve this goal, organizations must explore opportunities and identify new solutions and possibilities, and apply innovation in decisions. How to identify these opportunities and use them has always been a concern of policy makers and efforts have been made in this regard, but a comprehensive model in our country that can lead to entrepreneurial decision-making in a government organization has not been presented so far. Therefore, we sought to identify the dimensions, factors and elements affecting the policy entrepreneurship in the thermal power generation production policy making process and to present a suitable model for policy entrepreneurship for this field. To achieve this goal, a fundamental research based on a combined exploratory method was conducted. For this purpose, in the quality section, interviews were conducted with 18 experts in the field of electricity generation who were selected through the snowball sampling method. In the interview process, 244 open codes, 84 selective themes and 16 main themes were identified and the policy entrepreneurship model was presented in three dimensions: contextual, structural and behavioral. In the quantitative part, using a questionnaire and after assessing its content validity, based on the results of one-sample t-test, the effect of the components identified in the qualitative part on entrepreneurship was confirmed and the components were ranked based on the Friedman test.

The dependence of research on the state budget on public universities has caused the government's economic problems in recent years to adversely affect the status of academic research. Therefore, managers of public universities should prioritize the use of other research funding methods, including attracting funds from the private and industrial sectors and taking a strategic approach in this regard. The purpose of this study was to design and explain a strategic decision-making model for financing research projects to Improve the research projects of the University of Tehran.

The research method of this article is qualitative and qualitative data were collected through semi-structured interviews with experts and study of articles and texts. In order to extract the main metrics and structures of the model, the data were analyzed using the theme analysis method. Thirty-four interviewees were selected using the snowball method.

Based on the results of the research, 10 main structures consisting of 33 measures constitute the model components.

Components of strategic decision-making model for financing research projects of Tehran University include: internal and external university communication, idea-to-product chain, Requirements before implementing, review and selection of strategies, structural reform strategy, financial strategy, Collaborative Strategy, Research Results Optimization Strategy, HR Strategy and Evaluation.

Knowledge today is a strategic factor in achieving a sustainable competitive advantage for power in an organization, but merely having knowledge only as an asset does not create value. The sharing and dissemination of knowledge with other members within and outside the organization will provide a space for the creation of new and valuable knowledge assets.

The aim of this study was to identify and prioritize factors affecting knowledge sharing and dissemination in Iranchr('39')s ministry of youth and sports.

This study employed the qualitative research method. The study population included all managers, advisers, and experts of the ministry and faculty members informed in the field of knowledge management within the ministry. In the first stage, purposive sampling based on theoretical l approach and 19 semi-structured interviews were conducted. Using coding method seven main factors were detected by MAXQDA software. The next step was to prioritize and interpretive structural modeling and the opinion of eight experts and academic professors was used.

After analyzing the data, factors affecting knowledge sharing were put into 5 levels. Leadership factors were placed at the bottom of the model and the individual factors placed at the highest level.

The insight that this model offers can help in the success and effectiveness of KM activities in this ministry.