فهرست مطالب h. taghizadeh

So far, numerous studies have been developed to evaluate the performance of decision-making units through DEA technique in different places, but most of these studies have measured the performance of decision-making units by efficiency criteria. The productivity is considered as a key factor in the success and development of decision-making units and its evaluation is more comprehensive than efficiency evaluation. Recently, the productivity has been considered in DEA technique. The productivity in these studies is often evaluated through the productivity indexes. These indexes require at least two time periods and also the two important elements of efficiency and effectiveness in these studies are not significantly evident. There are few studies that measure productivity through efficiency and effectiveness. This few researches also measure the efficiency and effectiveness in two stages separately. So, the purpose of this study is to develop a new approach in the DEA technique in order to measure productivity of decision-making units through efficiency and effectiveness simultaneously, in one stage and interdependently. One case study demonstrates application of the proposed approach in the branches of a Bank. Using proposed approach revealed that efficient branches are not necessarily productive, but productive branches are also efficient.

In the literature on flexibility, there is a consensus that manufacturing flexibility is a multidimensional concept with internal relations between its dimensions that can lead to increased manufacturing flexibility. The purpose of this study was to develop an internal model of manufacturing flexibility dimensions in the food industry based on interpretive structural modeling(ISM). This applied study was conducted in a descriptive modeling method. The model was developed using the reviews of 20 experts on manufacturing flexibility. The data were collected through a questionnaire for the interpretive structural modeling and the results were analyzed through the same modeling. The study findings showed that the developed internal model of manufacturing flexibility dimensions would help to understand the interaction between different dimensions affecting the flexibility and the consequences of their management. According to the results, process flexibility and labor flexibility were the most influential (leading) dimensions and product flexibility was the most influenced (dependent) dimension in the food industry. In addition, enhancing the efficiency of influencing factors might be suggested to improve the influenced factors and led to an increased flexibility in the food industries.

The purpose of this study was to compare self-efficacy beliefs and mental health and their relationship between gifted and normal students.

A cross-sectional study was conducted. The sample of this study was randomly selected and consisted of 100 students (50 gifted student and 50 normal students) in Babul. Data were collected by Sherer’s General Self-Efficacy Scale, General Health Questionnaire and Raven’s Intelligence Test (Adult forms). Independent t-test, Pearson's correlation and multivariate regression tests were used to analyze the data.

There were significant differences between the average mental health (p= 0.001) and self-efficacy beliefs (p= 0.005) of gifted and normal students. Also, there were significant relationships between self-efficacy beliefs and mental health and its components in gifted and normal students (p= 0.01, r= 0.650).

According to the results, it seems that normal students had lower levels of mental health as compared to gifted students. It is recommended that students of normal schools by psychologists, counselors and other staff in the schools, more attention to them.