اسراء کریم

Estimating the effective factors of Iranian goods adoption through induction processes is a much neglected area of research. The aim of this study, however, is to explore the effective factors on the Iranian goods adoption knowledge in social media. Mixing the meaning-making theory, social influence theory, information rich theory, fear attraction theory, and potential contribution method, a model for the Iranian goods adoption knowledge was constructed. This is a practical research which follows a descriptive-survey method. The research population is the customers of Pars-Khazar company in the social media, 127 of whom were selected through census sampling. The research sample answered to a 5-point likert scale. SPSS and PLS smart software were used for data analysis. This study tested the intervention variable of trust in the process of Iranian goods adoption knowledge. The findings showed that the knowledge richness had a significant positive effect on trust in general, and trust in Iranian goods adoption through knowledge quality, knowledge consensus, and knowledge richness in particular.

Measuring of success in the achievement of general policies on population(period 2011-2019)AbstractThe general policies on population had been set in 2014 by supreme leader as an important policy in Iran. The general policies on population is emphasised on the significance of the issue of population in achieving national power and improving the dynamism, development and youthful nature of the population of the country as an opportunity and advantage and with the purpose of making up for population decreases in recent years.The main purpose of current paper is measuring of success in the achievement of general policies on population in period of 2011-2019 by making the composite indicator. The results reveal the the composite indicator has decreasing trend and the key goals are not reached. Thus it is necessary to formulate comprehensive plans for achieving the goals and to adopt essential measure in a careful, rapid and powerful way. 

The purpose of this study is to investigate the efficiency of pomegranate growers in Khash County using two methods of data envelopment analysis and super-efficiency analysis. The required information was collected by completing a questionnaire from pomegranate growers in Khash County. The results of this study showed that the average level of technical efficiency in the Khash County in the model assuming constant return to the scale is 0.46 and in the model variable returns to the scale is 0.68 and there is a clear difference in the level of technical efficiency between the studied gardens. The most important reason is the inefficiency in how to manage the use of inputs. The range of efficiency levels in the Super-Efficiency Model was between 0.08 to 6.86%, which shows a great difference between pomegranate gardens in terms of input consumption. The results of ranking pomegranate gardens using the Super-Efficiency approach with input-oriented assumption showed that the ranking of inefficient gardens is similar to data envelopment analysis. Therefore, it is recommended to increase and improve the efficiency of pomegranate producers by proper management and optimal allocation of inputs used in the pomegranate production process and the support of relevant agencies.