aliakbar amin beydokhti

Considering the role and performance of universities, the aim of this study is to analyze the indicators and obstacles to its implementation in the Iranian higher education system with an interpretative approach.

The research approach used in this study is qualitative and the data of this study were collected using open interview method and based on purposeful and snowball sampling method, from 13 professors and experts.

The main findings of this study using grounded theory (data-based) included important dimensions including: institutionalizing green human resources - green technology infrastructures - green management development - green research development - ecosystem development economy. Also, in examining the obstacles to implementing these dimensions, obstacles including: obstacles to institutionalizing human resources - obstacles to green technology infrastructures - obstacles to green research - structural obstacles and green management - ecosystem economic obstacles were identified.

Using the research findings, a model of university development was developed and based on the results obtained; it was determined that one of the important obstacles in the lack of university development is the ecosystem economic obstacles on the one hand and on the other hand, the economic structure that governs the country, a monopolistic and oligarchic structure.

The purpose of this research is to present a model based on media and social networks in the management of intelligent electricity consumption. According to its purpose, the research method is practical, quantitative in terms of implementation, exploratory in nature, and cross-sectional in terms of time. The statistical population of the research includes 179 of all the people who were connected with the electricity company and its activities during the last week and in social networks, who were selected by random sampling. A standard questionnaire was used to collect data. The face and content validity of the questionnaire was confirmed through confirmatory factor analysis, data analysis was done using SPSS and Lisrel software. The results of this research indicate the existence of six variables; which has two parts: antecedents (social networks) and consequences (word of mouth advertising, brand loyalty, intelligence and social knowledge) in the field of smart consumption management. Also, the GOF index was obtained as 0.88, which shows the strong fit of the model.

The main purpose of this study is to provide a suitable model for improving banking services based on a comparative study of behavioral sciences and consumer behavior with respect to the function of mem theory.

Mem is a hereditary theory and an idea, behavior, or method that is transmitted from one person to another through culture. Inheritance theories differ in the degree of adaptation and capability, that is, adaptation to the socio-cultural environment in which they are spread. More adaptable and more capable memes will be more successful in transmitting, spreading to more people, and thus spreading to a larger population. The concepts in this theory can be used as a model for cultural evolution. Therefore, this research was formed with the aim of providing a suitable model for improving banking services based on the theory of memes.

One of the main tasks of the financial institutions is to give loan to the customers. Prediction and evaluation of the credit risks due to loan and consequently managing this risk is one of the greatest ongoing challenges for the financial institutions. The main aim of this work is to provide an optimized logistic regression model for credit scoring of real customers. Here the effects of increasing the customer’s credit classification from two (binary) to four (multinomial) distinct groups on the results of the logistic regression has been investigated. Identification of the most important parameters in prediction of the real customers’ credit scoring is the other important outcome of this work. The results of both binary and multinomial logistic regression show the relative importance of the education level and the age of the customer compared with other independent variables. The results of this work show that either increasing the number of classification types of the dependent variable, real customer’s credit, to four distinct groups has no sharp effect on the results of the optimized models or this conclusion can be due to improper distribution of the number of customers in different groups.

The purpose of this study is to investigate the structural effects of political skills on employees’ empowerment with the mediating role of employee silence and climate silence. The type of research was co-relational. All employees of Mashhad educational institutions during 1992-3 comprised the statistical population. A sample of 171 people was selected by using stratified random sampling. The participants completed the questionnaire of political skills, organizational silence and employee empowerment. Data were analyzed through the Structural Equation Model and LISREL software.
Findings show that political skills can well be predicted by the components of their latent construct. In addition, the most powerful indicator of the latent construct of climate silence is communication opportunity construct. The findings of the structural model show that political skills have negative structural effect on silence climate (GA11=-0.43), political skills have negative structural effect on silence behaviors (GA21=0.33), and political skills have positive structural effect on employee’s empowerment (GA31=0.79). The indirect effect of political skills on silence behavior is not significant but it is significant on empowerment of employees (0.049). Also, organizational silence has direct structural effect on the silence behavior of employees (BE=0.15). As a result, in order to eliminate the behavior of organizational silence and to utilize employees’ experience, the climate of organizational silence has to be eliminated. One of the most influential factors in this context is the increase of the employee’s political skills. Utilization of political skills calls for decrease in climate silence, and consequently, it is expected is that organizational silence behavior will be reduced and employees will be better empowered.

The purpose of this study was to examine the mediating role of Knowledge Management in the relationship between Learning Culture and with organizational innovation among employees of Babol University of Medical Sciences. This is a descriptive correlational study clearly based on structural equation modeling (SEM). The participants of this study were 189 employees of Babol University of Medical Sciences that were selected via available sampling method. Results of Pearson correlation showed that variables, learning culture and knowledge management and organizational innovation are mutually correlated with each other. Implementing structural equation modeling for relationship between learning culture and organizational innovation through mediating role of knowledge management, we found that the proposed model has a good fitness and organizational innovation is well explained by learning culture and knowledge management. Also all of the model path coefficients were significant.

One of the convergence of the D-8 group cohesion is the aim of this study was to identify the effective strategic benchmarking of potential export of Iran in it. Research-based document database from the World Bank, IMF, WTO and UNCTAD is the basis of ex-post econometric investigation is based on the theory of gravity; it will be objective and desired states. The pattern of merchandise exports potential strategic fit of the gravity model has been used. The results indicate a significant association between the degree of openness of the economy, GDP, imports, population size, range overlap, Human Development Index, the share of labor in industry, membership in WOT and per capita production rate of export potential is. And no effect of FDI, the share of the GDP, the cost of public education and the gap between D-8 group of countries in this convergence is.