Educational Institutions

Purpose: Education is one of the important factors of economic and social development and the education industry is one of the largest and most tangible industries in the world. Therefore, the aim of this study was to providing a customer value maturity model based on the dynamic capabilities of educational institutions. Methodology: This study in terms of purpose was applied and in terms of implementation method was qualitative. In this study number of 15 people after checking the inclusion criteria such as work experience of at least 10 years and at least bachelor's education with using the purposive sampling method were selected from among the experts of non-governmental educational institutions of the senior school in Tehran city. The tool of the current research was a semi-structured interview with selected experts, which its validity was confirmed by the triangulation method and its reliability was calculated by the method of the coefficient of agreement between two coding 0.88. Data were analyzed by content analysis method. Findings: The results of the present study indicated that for the customer value maturity model based on the dynamic capabilities of educational institutions were identified number of 268 open codes in 5 core codes or levels, respectively including the analysis the value proposition of customer, definition and design the value proposition of customer, management and expansion the value proposition of customer, implementation and execution the value proposition of customer and evaluation and optimization the value proposition of customer. Therefore, the educational programs in the customer value maturity model based on the dynamic capabilities of educational institutions were drawn at five levels based on the level of maturity and value. Conclusion: According to the identified codes and levels for the customer value maturity model based on the dynamic capabilities of educational institutions can be taken an effective step in the direction of customer value maturity.

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.

Today, internal controls have grown so dramatically that we see its progress towards internal consulting in the company's risk management operations. The current research was carried out with the aim of designing a causal model to eliminate the weak points of implementing internal controls in educational institutions according to the Fuzzy Dimtel method. This research is of mixed type (qualitative-quantitative) in terms of nature and content. Information of this research is related to 15 experts in educational institutions (Azad University, higher education, non-profit institutions), which constitute the statistical sample. This research is descriptive in terms of data collection and analysis, practical in terms of purpose, and documentary in terms of method. In order to collect data, the tool of paired comparison questionnaire is used. The results of this research showed that the four main factors of risk components, operational risk, independence of the board of directors, and institutional ownership have an effect on the weak implementation of internal controls. Also, Dimtel's method showed that the factor of independence of the board of directors with an average influence of 18.740, the factor of institutional ownership with an average impact of 9.497 and the factor of risk components with an average impact of 8.742, are among the influential factors. On the other hand, operational risk factor with an influenced average of 14.975 is an influenced factor.