درخت حوزه‌های تخصصی

Purpose: in the present study, the relationship between cognitive emotion regulation and academic buoyancy with the role of mediating self-disability in students has been studied. Methodology: The present study was descriptive-correlational. The research population included all female secondary school students in Sabzevar City. 323 students were randomly selected as the sample in a multistage cluster sampling method. They completed Jones and Rodwellt Self-Handicapping Scale (1982), Garnfesky, Kareev and Spinhaun (2001) Emotional Cognitive Regulation Questionnaire and Dehghanizadeh and حسینchary (2012) Academic Buoyancy Questionnaire. Findings: The results of the research indicated that the model of the research had excellent fitting and self-handicapping has a mediating role in the relationship between emotional cognitive regulation and students’ academic buoyancy. Also, 79% of the variations in academic buoyancy are explained through the strategies of positive and negative cognitive emotion regulation and academic self-handicapping and 74% of the variations in academic self-handicapping are explained through the strategies of positive and negative emotion cognitive regulation. Discussion: As a result, it should be acknowledged that students who grow up to develop strong emotions could handle social barriers and pressure well, and manage behaviors that can mitigate their academic achievement. Therefore, the emotional stress of students in dealing with stressful situations affects self-handicapping and, consequently, their academic buoyancy.

Purpose: The blended training implies a continuous process of teaching and learning. Therefore, the current research was conducted with the aim of determining the causal relationships between the identified factors in the development model of blended training in Tehran education. Methodology: The current research in terms of purpose was applied and in terms of implementation method was descriptive from survey type. The population of this study was all the managers and assistants of education in Tehran city, which number of 242 manager and assistant were selected as a sample using the available sampling method. The research tool was a researcher-made questionnaire of development of blended training in education with 75 items. The data were analyzed with the methods of exploratory factor analysis and structural equation modeling in SPSS-V23 and LISREL-V8.8 software. Findings: The results of this study indicated that the development model of blended training in education had three components of constituent factors, organizational factors and educational factors, which its validity and reliability were confirmed. Also, the development model of blended training in education had a good fit and in this model, organizational factors and educational factors had a positive and direct effect on constituent factors of blended training in education (P<0.05). Conclusion: According to the results of this study, in order to improve the development of blended training in education can provide the ground for the realization of organizational factors and educational factors.

Purpose: The present study was conducted to model the problems of the system of recruitment, retention and training of human resources by the mixed exploratory research method. Methodology: The statistical population of the qualitative part included a number of experts including the senior managers of National Iranian Oil Refining and Distribution Company (NIORDC) and human resource management professors in higher education centers; and employees of the NIORDC (Sari) and Iranian Oil Pipelines and Telecommunication Company (IOPTC) (North) in the quantitative part, n= 835 (789 men and 46 women). In the qualitative part, by the snowball sampling method, 20 people, and in the quantitative part, by relative stratified sampling method based on Cochran's formula, 263 people were selected as the statistical sample. In the qualitative part, the data were extracted by the Delphi technique and semi-structured and structured questionnaires; and the 120-item researcher-made questionnaires in the quantitative part and analyzed using SPSS and AMOS. The content and construct validity of the questionnaires was confirmed. Reliability and composite reliability (CR) were also confirmed by Cronbach's alpha coefficient 84%. Descriptive statistics (mean, variance, and standard deviation) and inferential statistics (exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) and Friedman test) were used for data analysis. Findings: The results showed that the model of problems of the system of recruitment, retention and training of human resources has 6 organizational (internal), environmental (external), occupational, individual (personal), governmental (political) and cultural-social dimensions and 30 components. Conclusion: The results of the quantitative part showed that all dimensions of the research model were confirmed.

Purpose: Today, with the transition from the industrial economy to a knowledge-based economy, the economic value of the human resource in the organization is more evident than ever. Human resource accounting is a relatively new approach to calculating the value of human resources as a part of the organization's capital and assets. This study aimed to identify the components of human resources valuation and design the employee valuation pattern in the country's banking network based on the human resources accounting approach. Methodology: The study was conducted using a mixed method (qualitative and quantitative) in three consecutive phases. In the first phase, the components affecting the human resources valuation process were extracted through the content analysis of related studies. After extracting the general components, initial interview questions were formulated using them. In the second phase, additional components and indicators were identified through semi-structured interviews with elites and informants in human resource accounting. In the third phase, using quantitative methods, the validation and ranking of the components were done. Finally, the valuation pattern of the country's banking network employees was formed. Findings: The final pattern included a total of 36 components in four categories: individual and personality characteristics (11 components), professional qualifications (9 components), social capabilities (7 components), and organizational costs (9 components). Conclusion: The proposed pattern in this study can provide the possibility of a multi-faceted valuation of the banking network employees in Iran due to the coverage of a wide range of components affecting the valuation.