کیومرث نیازآذری

Introduction: Identifying the moral damages of the cyberspace used by students can effectively play a role in the correct use of this space, with the understanding of this importance, the present study was conducted with the aim of identifying the moral damages caused by the lifestyle of students affected by the cyberspace. Material and Methods: The method of the current research is practical in terms of its purpose and it is mixed (qualitative-quantitative) in terms of data collection. The qualitative research method was content analysis with an inductive approach. The participants of the qualitative part of the research, the students of Islamic Azad University of Mazandaran province, who were aware and knowledgeable about the moral damages of cyberspace, the purposeful theoretical sampling method was used with 12 people. The estimation of the desired sample size was done based on the theoretical saturation of the data. The data collection tool in the qualitative part was a semi-structured interview. Triangulation method and Christiansen angle technique were used to check the validity in the qualitative part. The research method was descriptive-survey quantitative. The statistical population included all the students of Islamic Azad University of Mazandaran province (N=43), 399 were examined using stratified random sampling method through Cochran's formula. A researcher-made questionnaire was used to collect quantitative data. Data analysis was done using confirmatory factor analysis in SPSS22 and Amos statistical software. Results: The results of the survey showed that the moral damages caused by the way of life of students affected by cyber space include emerging and classic social damages, educational-cultural damages, political damages, security damages, psychological damages, and physiological damages. Conclusion: As a result, to reduce moral damages, it is possible to pay attention to the identified damages.

Purpose: Organizational transparency plays an important role in improving the performance of various organizations, especially service organizations. Therefore, the purpose of this study was to determine the relationship between e-governance foresight and the organizational transparency of managers in order to present a model. Methodology: This research was applied in terms of purpose and mixed (qualitative and quantitative) in terms of implementation method. The qualitative part of the community was experts related to the field of research, 12 people were selected as a sample according to the principle of theoretical saturation with non-random sampling and snowball methods. In 2017, there were 7170 people in the quantitative sector of managers of export banks in Tehran province, of which 365 people were selected as a sample according to the table of Karjesi and Morgan by simple random sampling. The research tool was semi-structured interview in the qualitative part and researcher-made questionnaires in the quantitative part, whose psychometric indicators were confirmed. Qualitative part data were analyzed with open, axial and selective coding method in MAXQDA software and quantitative part data were analyzed with exploratory factor analysis and structural equation modeling methods in SPSS and Smart PLS software. Findings: The findings of the qualitative section showed that the e-governance foresight has 75 indicators and 17 components in 6 dimensions: organizational, technical, information and data, marketing, resources and perspective and organizational transparency, 60 indicators and 15 components in 6 dimensions: information transparency, economic transparency, transparency The client had management transparency, organizational transparency and human resources transparency. Also, the findings of the quantitative section showed that the factor load and average variance extracted of all dimensions and components were higher than 0.70 and 0.50, respectively, and their reliability was calculated higher than 0.60 with Cronbach's alpha and combined methods. In addition, the relationship model of e-governance foresight with managers' organizational transparency had a good fit, and e-governance foresight and all its 6 dimensions including organizational, technical, information and data, marketing, resources and perspective had a positive and meaningful effect on managers' organizational transparency (05 /0P<). Conclusion: According to the results of this study, e-governance foresight had a positive effect on the organizational transparency of managers. Therefore, to improve organizational transparency, it is possible to improve the foresight of e-governance and its components including organizational, technical, information and data, marketing, resources and perspective.

This study was performed to identify factors affecting the entrepreneurial university. In order to achieve this goal, a sample of 173 faculty members (academic rank of associate professor or higher) in academic year of 2015-2016 was selected using the using relative stratified sampling and Cochran’s formula. In this study, given the purpose and nature of research, for analysis of the data, exploratory and confirmatory factor analyses were used. The results of in-depth interviews and semi-structured and targeted interview with 14 qualified university professors led to the initial questionnaire developed by the researchers at 5-point Likert scale with 50 items; upon exploratory analysis, 9 items were excluded due to extraction value of commonality smaller than 0.5. Content validity of the questionnaire was approved by accredited academic experts. To assess the construct validity, convergent and divergent validity criteria were used. The results of factor loadings of each item showed that all items had factor loading of over 0.4 and average extracted variance of over 0.5, thus convergent validity of the variables was confirmed. In addition, the values ​​of the square root of the average variance extracted (AVE) was highest, indicating the validity of divergent validity of the variables. Composite reliability and validity of the questionnaire for all variables showed high levels of 0.7. Results showed that the size and components affecting establishment of entrepreneurial university included internal factors (capabilities, management and leadership, structure, prospects, financial resources and research, cultural and education policies) and external factors (interaction with environment and internationalization of the university). Finally, test of the model using t-test showed that the size and the identified factors had a positive and significant impact on the entrepreneurial university.

Present research seeks to review factors affecting responsiveness of training organizations to society network evolution. Data from 500 directors and deputies of secondary schools in the city of Tehran using stratified random sampling gathered through a questionnaire and analyzed using structural equation modeling. Reliability of this questionnaire was calculated using Cronbach's alpha at 83%. To calculate the validity, structural validity was used and the results show the validity of the survey tool. The primary outcome shows that the amount kmo is 0.83 closes to one as well as the significance of Bartlett's test is zero and is smaller than 0.05 and statistically significant. After analysis the following factors were identified that included:1. Professional Ethics 2. Critical Thinking 3. Social Responsibility 4. Ethics and citizenship education 5. Global Citizenship.

Background: This study aimed to identify factors contributing to the creation of intellectual capital in the organization of education. The research method is a descriptive and exploratory factor analysis method. A sample: directors and deputies of the second period Secondary Education Department of Tehran Province. Based on stratified random sampling method and based on a sample of 500 was calculated size formula. The research made questionnaire constitutes a measurement tool through which factors in the creation of intellectual capital was identified by the sample. Validity to help them with the help of factor analysis and reliability was confirmed by Cronbach's alpha equal to 78/0. And finally analyzed by factor analysis of main components were analyzed. The findings suggest that the amount of KMO is close to 1 is equal to 881/0. Bartlett test of sphericity is also characterized by a significant level of zero, which is smaller than the 05/0 show statistically significant. And the final outcome of the 9 extracted with PC using varimax rotated in total by performing factor analysis identified nine factors: Self-conscious, value-based and central vision, holistic and systemic approach, independence, spontaneity, sense of mission, altruism, accountability, change frame of mind Factors identified in order to create intellectual capital could have a significant relationship with the studied variables. So successful, in order to strengthen each of these factors will lead to the creation of intellectual capital in educational organizations.