مطالب

Purpose: The present study aimed to develop a model of psychological well-being based on social capital with the mediation of emotional intelligence in education staff. Methodology: The research method was descriptive and descriptive-correlational and the method of modeling structural equations. The statistical population of the study was all education staff in Tehran in 1997-98. To determine the sample size, the principles of sample size determination were used in multivariate regression analysis in structural equation modeling, in which 610 people were selected by stratified sampling method. The Ryff and Keys Psychological Welfare Questionnaire (1989), the Putnam Social Capital Scale (2000) and the Schutte & Et al Intellectual Intelligence Questionnaire (1988) were used to measure and evaluate the status of employees. Structural equation modeling and Amos software were used to analyze the data. Findings: The results of data analysis showed that the model of predicting psychological well-being based on social capital had a favorable fit considering the mediating role of emotional intelligence based on experimental data. Conclusion: In order to promote the mental health of vital assets of a society, it is very important to pay attention to the psychological well-being of education staff and the factors affecting it.

Introduction: Social responsibility is defined as the voluntary efforts to eliminate or minimize the negative effects of business activities on stakeholders that are done by the organizations. The aim of this article is to present a model of Islamic social responsibility with an emphasis on good governance, with an interpretative structural modeling approach in the Ministry of Communications and Information Technology. Methodology: In this study, fuzzy screening technique and interpretive structural modeling (ISM), were used to identify the criteria and the relationship between the criteria. After studying the relevant literature review and interviewing with the managers of the Ministry of Communications and Information Technology. Findings: After analyzing the data, the variables were classified into eight different levels and were plotted according to the relations of the ISM graph. After analyzing, the variables were categorized into three groups: independent or key variables, communication variables and the dependent variables and no variables were included in the group of autonomous variables. Social responsibility in Islamic style was studied in five economic, social-political, ethical, legal, and altruism dimensions, and aspects of good governance from the scientific point of view under the five dimensions of participation, accountability, justice and equality, rule of law, and efficiency and effectiveness of the government. Conclusion: According to the results, the components of financial responsibility and economic security, attention to the benefit of society, citizens' participation, social accountability, law enforcement, equal rights, rule of law, respect for norms and values, and beliefs have high dependence and conductivity power. In the other words, the impact of these criteria is very high, and any small change on these variables causes the fundamental changes in the system.