درخت حوزه‌های تخصصی

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.

Abstract Introduction: The aim of this study was to evaluate the Comparison of Personality characteristics and Clinical syndrome owners Pets keeper and People without Pets. Methodology: The research method was causal-comparative. The statistical population included all pets and non-domestic animals resident in the 20th district of Tehran in 2018. The sample consisted of 160 individuals with pets (80) and non-pets (80) who were selected based on available sampling. Measurement tool was McCrae and Costa's Personality characteristics questionnaire (1992) and clinical checklist Drogates and colleagues (1973). Data analysis was carried out through questionnaire implementation through spss22 software in two descriptive and inferential sections (Multivariable Analyze of Variance). Findings: The results showed that the difference between the two groups was significant in all personality traits, except for neuroticism. According to the comparison of the averages, it is evident that pet owners and owners have extraversion, less openness to experience, duty, and acceptability than non-pet animals. Also, the results of multivariate analysis of clinical syndrome showed that the difference between the two groups in all clinical syndromes was significant except for obsessive-compulsive disorder. Conclusion: Regarding the comparison of the averages, it was found that pets owning and having pets have higher levels of physical complaints, interpersonal sensitivity, depression, anxiety, aggression, paranoid thoughts, and psychosis.