درخت حوزه‌های تخصصی

Purpose: The using an interactive approach in sciences education can improve its learning. Therefore, the current research was conducted with the aim of identifying the dimensions and components of sciences education based on an interactive approach with an emphasis on the nature of science. Methodology: This study in terms of purpose was applied and in terms of implementation method was qualitative. The current research population was university students and teachers of basic sciences who were familiar with the subject, which number of 15 people of them were selected as a sample according to the principle of theoretical saturation and with the purposive sampling method. The data was collected by the in-depth semi-structured interview method and its validity was confirmed by the triangulation method and its reliability was obtained by the agreement coefficient method between two coders 0.86. The data were analyzed by open, axial and selective coding method in MAXQDA software. Findings: The findings showed that for sciences education based on an interactive approach with an emphasis on the nature of science were identified 48 concepts in 16 categories and 4 themes; So that 4 themes were included quality-orientation in the sciences education system (with 3 categories of quality evaluation in the educational system of formal education, efficiency of the educational system for science education and lack of effectiveness of science education programs in the formal education system), strategic management of the education system of formal education (with 6 categories of trust to abilities and plans of policymakers, institutionalizing the principles of science education, intra-group and institutional collectivism, developing the structure of an educational implementation system for logical thinking, keeping pace with global developments and designing science education programs for students), proposed solutions for designing the science education system based on the interactive approach (with 3 categories of students' participation in education, emphasis on strengthening the spirit of independence of students and logical education and its place in modern education) and challenges of the formal education system in the field of sciences education (with 4 categories of identity and its place of science in the educational system, argument-oriented and having a critical view, macro structure and institutional level of formal education and criticism to the educational system of current education structure in schools. Conclusion: Based on the results of the current research and the identified dimensions and components for sciences education based on an interactive approach with an emphasis on the nature of science, experts and planners of the educational system can take an effective step towards improving the sciences education based on an interactive approach by improving its dimensions and components.

Purpose: Entrepreneurial leadership plays an effective role in improving the performance of various businesses including small and medium businesses. As a result, the current research was conducted with the aim of presenting a model of the role of entrepreneurial leadership in the performance of active small and medium businesses in the field of nanotechnology in Tehran. Methodology: The method of this research was of mixed exploratory type (qualitative and quantitative). The population of the present study in the qualitative section was the policy experts of the nanotechnology industry, which number of 17 of them were selected as a sample according to the principle of theoretical saturation and with the purposeful sampling method. Also, the population of present study in the quantitative section was the managers and experts of small and medium businesses of nanotechnology industry whit number 1434 people, which 303 people of them were selected as a sample according to Cochran's formula and with the available sampling method. The data of the qualitative and quantitative sections were collected with methods of semi-structured interview and researcher-made questionnaires, respectively which whose psychometric indicators were confirmed and analyzed with methods of thematic analysis in MAXQDA software and exploratory factor analysis and structural equation modeling in SPSS and LISREL software, respectively. Findings: The findings of the first part of current research showed that the model of the role of entrepreneurial leadership in the performance of active small and medium businesses in the field of nanotechnology had 13 sub-factors in the 5 main factors of guidance, support, coaching, facilitation and entrepreneurship. Also, the findings of the second part of the present study showed that the factor load, average variance extracted and reliability of all factors were appropriate. In addition, the model of the role of entrepreneurial leadership in the performance of small and medium-sized businesses active in the field of nanotechnology had a significant effect on all five main factors and each factor with its sub-factors (P<0.05). Also, the findings of the second part of the current research showed that the factor load, average variance extracted and reliability of all factors were appropriate. In addition, the model of the role of entrepreneurial leadership in the performance of active small and medium businesses in the field of nanotechnology had a significant effect on all five main factors and each main factor on its sub-factors (P<0.05). Conclusion: The model of the role of entrepreneurial leadership in the performance of active small and medium businesses in the field of nanotechnology has many practical implications for the activists in the field of nanotechnology industry, and they can according to the identified factors provide the basis for improving entrepreneurial leadership.

This study examined the extent to which stock returns can be explained by fundamental financial information. To this end, the accuracy of predicting future stock returns under conditions of mispricing stocks, including underpriced and overpriced stocks, was evaluated. The empirical results are based on a sample of 140 companies listed on the Tehran Stock Exchange during 2006-2022. The applied methodology is based on multivariate regression analysis of panel data. In particular, the six-factor models of Fama-French (2018), Nichols-Wallen-Wyland (2017), and Rhodes croft-Robinson-Viswanathan (2005) have been calculated to investigate the extent of explaining future stock valuation and returns. The results show that most of the changes in the stock valuation of the investigated companies are explained by using fundamental financial factors. Specifically, the results indicate that undervalued companies have earned higher stock returns in the coming year compared to overvalued companies. In other words, in undervalued companies, the stock return has increased in the following year, and in overvalued companies, the future stock return has decreased. According to the provided results, investors and stock exchange regulatory bodies are advised to more sensitively examine companies that have a lower rating of incorrect stock valuation based on the models introduced in this research.