احسان ساده

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.

Sustainable supply chain has become an integral part of the corporate strategy. In this paper, a real case study of the natural gas supply chain has been investigated. Using concepts related to natural gas industry and the relations among the compo-nents of gas and oil wells, refineries, storage tanks, dispatching, transmission and distribution network, a seven-level supply chain has been introduced and present-ed schematically. The aim of this paper is to optimize a case study using a fuzzy goal-programming multi-period model considering environmental and economic costs and revenue as fuzzy goals and maximize the total degree of satisfaction of goals as objective function. A small-sized problem was solved using GAMS 23.2.1 software and sensitivity analysis was conducted on its parameters. To the best of our knowledge, this is the first study that presents a fuzzy goal program-ming model for the optimization of sustainable natural gas supply chain by focus-ing on the environmental and economic costs and total revenue of gas products and the other main contribution of this research is focused to the developing of the mentioned model.

Investor decision making has always been affected by two factors: risk and returns. Considering risk, the investor expects an acceptable return on the investment decision horizon. Accordingly, defining goals and constraints for each investor can have unique prioritization. This paper develops several approaches to multi criteria portfolio optimization. The maximization of stock returns, the power of liquidity of selected stocks and the acceptance of risk to market risk are set as objectives of the problem. In order to solve the problem of information in the Tehran Stock Exchange in 2017, 45 sample stocks have been identified and, with the assumption of normalization of goals, a genetic algorithm has been used. The results show that the selected model provides a good performance for selecting the optimal portfolio for investors with specific goals and constraints.