مطالب

This study investigates monetary and financial shocks on macroeconomic variables, focusing on the role of banking intervention. For this purpose, a Keynesian dynamic stochastic general equilibrium (DSGE) model is designed for Iran’s economy that involves financial and banking sectors. The results of the model simulation show that the financial accelerator theory works in the Iranian economy. Also, the intermediary role is confirmed by the impulse response function. In other words, economic policies can impress on macroeconomic indicators more when banks intervene in the economy. Therefore, to control the effects of economic shocks on banks' performance, it has been suggested that monetary policymakers pay attention to the important roles of financial markets in the transfer mechanism and monetary policy intensity. On the other hand, because of mandatory rules of interest rates determination, banks have to establish a commission and nonprofit services instead of sharing income to decrease the effect of economic shocks.

Media literacy is a topic that is concerned with the audience's power of understanding of the way in which media works and how they make sense thereof, and seeks to make this analysis a habit and a task for the audience. In this regard, present research provides a model for promotion of public relations with an emphasis on media literacy among managers and employees of Mazandaran Gas Company. In this paper, the data were sorted out through three stages after introduction of the concept media literacy using the qualitative method of grounded theory and holding 15 in-depth, semi-structured interviews with the academics and experts of the field, and following a content analysis. Based on the findings, the model is made up of five components: 1. The elements promoting media literacy at three macro (i.e. formulation of educational rubrics, changing educational methods, culture building with media literacy potential, adopting a problem-oriented approach, creating a national Internet, coherence and consistency in policy making and planning, and media content monitoring), intermediate (i.e. group interaction with colleagues and management training), and micro (i.e. technological knowledge, cognitive knowledge, media knowledge, and content production); 2. Decisive factors (categories of macro, intermediate, and macro level factors); 3. Interfering factors (including government intervention, lack of legislation or regulations); 4. Strategies (including policy and planning strategies, educational strategies, and culture- and discourse building strategies; 5. Consequences (i.e. economic, social, cultural, political, technological, communication, environmental, and individual-behavioral consequences).

This research was aimed at develop and validate an influencer behavior model in social media marketing. The statistical population in the qualitative section consisted of Academic and organizational experts including social media marketing experts. A sample of qualitative sample was used for purposeful sampling and in a small part of the compilation sampling. The data collection tool was interviewed in the qualitative section and in the quantitative section the questionnaire was used. Data were analyzed using confirmatory statistical analysis. The results identified 17 components and 90 indicators that 4 components of influencing the behavior of influencers in social media marketing. Finally, the research model consisting of influential and influential factors was presented and its degree of appropriateness was appropriate.