Presenting the Islamic Social Responsibility Model with an Emphasis on Good governance with an Interpretative Structural Modeling Approach (Case Study)

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.