درخت حوزه‌های تخصصی

INTRODUCTION: The present study aimed to identify the factors affecting the effective In-Service training of employees at the Red Crescent Society of Zanjan province. METHODS: This mixed methods research was conducted in two stages. Firstly, the factors affecting the effectiveness of in-service training of employees at the Red Crescent of Zanjan Province were determined through semi-structured interviews with 15 experts in this field (experts and managers of the Red Crescent Society of Zanjan Province). Thereafter, the opinions of 234 Red Crescent employees about these factors were assessed via a Likert scale questionnaire. FINDINGS: Based on the results, the factors affecting the effectiveness of In-Service training among the employees at Red Crescent Society of Zanjan Province included support and supervision, organizational climate and learning organization, change of attitude and thinking, rules and regulations, processes, technical equipment and technology, as well as professional knowledge and skills. CONCLUSION: The results pointed out that, in general, all the factors affecting the effectiveness of training were identified and explained in three categories: structural, behavioral, and environmental.

In the past, deciding over granting loans to bank customers in Iran would be made traditionally and based on personal judgments over the risk of repayment. However, increase in demands on banking facilities by economic enterprises and families on the one side, and increased as well as extended commercial competitions among banks and financial and credit institutions in the country for reduction of facility repayment risk on the other side, have caused application of novel methods such as some statistical ones in this context. Now to predict the risk of negligence in banking facility repayment and classification of the candidates, bankers use their customers’ credit ranking. Time efficiency, cost effectiveness, avoidance from personal judgments, and further accuracy in examining the candidates who apply for various funds are of its salient merits of this new combined method. Various statistical methods including biased analysis, logistic regression, non-parametric parallelism, and also some others such as neural networks have been employed for credit ranking. In this research, given the random forest metaheuristic algorithm-based smart pattern of real bank customers’ credit risk (case study: Bank Tejarat) was presented. According to the value of skewness, the data could be stated to have a normal distribution. Based on the observed results, the lowest mean was related to the variable of type of facility and its maximum value, to the amount of facility.

The object of the research is the economic dynamic of a depressed low-productive economy, as exemplified by the modern Ukrainian economy. With the purpose to analyze the main causes and consequences of such an economy, the characteristic tendencies of its functioning, activation of the processes of reformation and growth, there was developed the dynamic economic model with significant share of consumer import and export of raw materials, with the use of IT technology. The model also takes into account the socio-economic clustering of a society. It is formalized in the space of economic variables, which describes respectively the savings (liquid capital) of the main social groups involved in the economy, the prices of consumer products in the domestic and foreign markets, the price of exported raw materials for the exchange rate.The model is intended for qualitative analysis of the processes occurring in the economy described by it, and for conducting computational experiments on the basis of information technologies in simulation mode with its parameters, which allows to identify the most characteristic features of the object of the research. The results of experimental researches with the model allowed to establish the main periods of economic dynamics represented by the dynamic variables model, its specificity and social consequences for the society, which is characterized by a bimodal distribution of savings. There was investigation the dependence of the mode solution from it parameters which means in practice the dependence of economic dynamics from the change of individual conditions and factors of economic development.The obtained results are important for informational and analytical support of decision making processes in order to bring the being studied economy out of a low-productive state.