درخت حوزه‌های تخصصی

The present research seeks to assess the relationship between the Individual value system and decision-making styles. The statistical population (190 people) consists of Pars Special Economic Energy Zone (PSEEZ) Organization managers who were assessed using the Census Method. The Myers and Myers cognitive demographic and value systems questionnaire and Scott and Bruce’s decision-making questionnaire were used with a response rate of 90%.. Data was analyzed with the SPSS and Smart Planning softwares. It was found that the dominant Individual value system is success-oriented, followed respectively by system-oriented, realistic, tribal, community-oriented, and autocentric.Also, the dominant decision-making style in the statistical population is rational, followed by intuitive, dependent, avoidant, and spontaneous decision-making styles respectively. It was also concluded that success-oriented and tribal value systems had the most significant relationship with decision-making styles and the community-oriented value system the least. Only the individual variables of race (ethnicity) and field of study had a significant relationship with the Individual value system. The other personal and organizational variables had no significant relationship with the Individual value system. Creating motivation and a sense of employee participation in the future of the organization is proposed as the most important way of improving the value system of the statistical population so that the tendency to make spontaneous decisions can lean more towards making rational decisions to the same extent. Investigating the relationship between decision-making styles is another effective topic in improving these in an organization and is thus recommended to other researchers in the field.

Iran attempts to expand the non-oil exportsfor diminishing the dependency on oil export income. This research tries to examine the export and trade balance of Iran's agricultural sector. Accordingly, the gravity model was used for export, applying panel data from 1997 to 2017. Also, the trade balance of Iran's total agricultural and the related sectors’commodities was examined. It should be noted that for the trade balance, time series data from 1978 to 2018 were used. The results of the gravity model show a negative effect for the variable of distance. The coefficients of Iran’s per capita GDP and also the GDP of trading partners are positive, as expected. It was found that a one percent increase in the per capita GDP of Iran causes a rise of 3.42 percent in the export of agricultural products; however,that of importing countries haslow statistical significance. Based on the coefficient obtained for the population, an increase in the population of the importing countries raises the demand for Iran's agricultural products.The degree of trade openness revealed a positive and significant effect on the export of agricultural products. The coefficient for the real exchange rate was found to be around 0.9 percent. It was also found that the volatility of the exchange rate is related directly to the export of agricultural products. Comprehensive sanctions have a negative and significant effect, while less restricting sanctions have an insignificant effect on the export of agricultural products. The global economic crisis has also had a dampening effect on exports. For trade balance, the results show that the value added of the agriculture has a positive effect on the trade balance of entire agriculture and sectors. The real exchange rate has a negative effect on the trade balance of agricultural commodities as a whole and livestock and agronomy sectors, confirming the J-Curve theory while it was not supported for the horticultural sector. Also, the variable of exchange rate volatility was included in the model using two measures of positive and negative series of exchange rate changes and the Autoregressive Conditional Heteroskedasticity (ARCH) effect, but their effect on the trade balance was not the same in terms of both the direction and statistical significance. The trade openness for the agricultural and horticultural sector was found with a positive coefficient, indicating that their production is based on comparative advantage. However, for the sectors of agronomy and livestock, it illustrated a negative effect. Sanctions have also harmed the trade balance.