درخت حوزه‌های تخصصی

The purpose of this paper is to examine the asymmetric effects of banking sector and stock market development on economic growth in Iran. For this purpose, Smooth Transition Regression (STR) model used based on seasonal time series data during 1989-2017. The results indicate that the impact of financial and banking development indices on economic growth is different for economic growth rates above and below 6%. Therefore, if the economic growth rate is higher than 6%, then we have a regression and when economic growth is lower than 6% will have another regression in order to effect of financial development of economic growth. In addition, results show that that the relationship between private sector credit and economic growth is much stronger than the relationship between stock market and economic growth.

Controlling the business cycle and minimizing the inflation gap are considered as two major goals for monetary policy. Hence, the policymaker will be able to make more decisive decisions with an awareness of the dynamic relationship and causal relationship between these two variables. Accordingly, the present study uses a discrete and continuous wavelet transform to provide a new understanding of the relationship between these two variables in Iran's economy during the years 1990:2 – 2017:1. According to the results of the research, in the short-run (less than one year), the causal relationship has been bidirectional and procyclical. In the medium run (1 to 4 years), the causal relationship is countercyclical and from the inflation gap to the business cycle. In the long run (4 to 8 years), the business cycle is leading, and the two variables are in phase. Besides, the relationship between variables is highly unstable over time and depends on different scales. Therefore, inflation in Iran's economy is not merely a monetary phenomenon, and in the medium-term is affected by changes in the real sector. According to the results of the research, for the output and the inflation to be stable, it is recommended that the policymaker take both goals simultaneously.

The aim of the current research is to explore a strategist developing model based on a mixed method for National Iranian Oil Company. This study is an exploratory and applied research, and it methodologically uses mixed methods. In the qualitative part, which is based on a data theory approach, the required data were gathered by means of semi-structured interviews. The participants involved in the study were 24 industrial and academic experts. After collecting the data, they were encoded, and necessary measurements were then taken to determine dimensions, main categories, subcategories, and relevant concepts related to our coding system. Having gained a coded table which was pivot and selective, finally, the goodness of the fit of the paradigmatic research model was developed (n=320). Quantitative analyses were performed by means of SPSS 24 and Lisrel 9.30 software. The qualitative findings of this study included 11 main categories, 24 subcategories, and 98 concepts. The concepts which were related to development strategists included causative factors (individual factors, organizational factors, and discourses); the category of central strategic thinking (conceptual and organizational thinking, foresight, and philosophical attitudes); obstructive factors (both inter organizational and intra organizational factors); contextual factors (cultural context, psychological factors, and organizational independence); strategies to identify the talents, to attract them, and to retain them; the outcomes of the establishment of monitoring system; strategic thinking; and the process of developing experts in our oil company. Our findings resulted in discovering a pattern to develop experts in oil industry.