فصلنامه پژوهش و توسعه فناوری
پیاپی 4 (1390)

This article aimed to study the efficiency and relationship between service quality dimensions of central library in Ferdowsi University by using Servqual Scale and Structural Equation Modeling. The method of this research is descriptive-survey. The statistical population includes all complementary education level students (postgraduate & Ph.D students). The random- classify sample method is used in this research. The validity of questionnaire approved by experts and the reliability of the questionnaire is %92 and it was calculated through Cronbach's Coefficient method. The findings of the present study shows that, there is a strong relationship between assurance dimension and service quality and little relationship between tangibles dimension and service quality.

This paper studies the effect of main non-price factors such as R&D and FDI on the export of high tech industries in Iran from 1981 to 2007 by the use of Panel Data Model. The Results show that these two variables have a significant impact on export of high tech industries. In comparison with FDI, R & D affects the export of high tech industries with more strength in a shorter period.

Scholars and practitioners continuously report significance of research on entrepreneurship in Fluent performance of small industries. Even so, little has been established in the literature on entrepreneur studies in the Iranian context. To fulfill the aim of the research, a quantitative research design with self- administered questionnaire was employed. The respondents were selected from the directory of small industries provided by Iran Small Industries & Industrial Parks Organization (ISIPO). Based on the probability sampling design, 123 entrepreneurs were selected across Khorasan Razavi Province to participate in the study. The mail survey yielded 58 complete responses, which were included in the final analysis. For analyzing data, the regression method was used. The results of the analysis revealed that the relationship between organizational functions and entrepreneurs’ success was found to be significant, positive, and linear. This study supports previous research findings that organizational functions of entrepreneurs must be taken into account besides the personal qualities.

This study has been conducted on structural equation modeling between the supplier competence with purchasing value, buyer satisfaction, switching cost, brand trust, brand loyalty, relationship quality, relationship commitment and transaction performance, in the buyers of Arge Talaei International Company's Products (Seed Production). The statistical samples of this study are the the staff of companies that buy Arge Talaei products from 7 countries (Asia and Europe), Greece, Turkey, Kazakh, Kyrgyzstan, Iran, Iraq, Emirates from which 247 were selected randomly. In order to collect the data, nine types of questionnaires containing 55 items were employed: 1- supplier competence, 2- purchasing value, 3- buyer satisfaction, 4- switching cost, 5- brand trust, 6- brand loyalty, 7- relationship quality, 8- relationship commitment, 9- transaction performance. All of these questionnaires were originally administrated in Korea by Han and Sung in 2008. For estimating reliability, Cronbach's Alpha Tests were used. The results revealed that there is a significant relationship (p< 0/01) between supplier competence, purchasing value, buyer satisfaction, brand trust and loyalty, relationship quality, relationship commitment and transaction performance (except switching cost). Furthermore, the results of Sobel T pointed out that supplier competence, directly affects purchasing value and buyer satisfaction, and purchasing value and customer satisfaction indirectly affects commitment, brand trust and loyalty.

Organizational communications are always considered a major issue in organizations. With the appearance of information and communication technologies, remarkable changes in this area has been taken face in organizations. This paper is based on a research field about office automation systems to investigate the effects of some organizational productivity indices. Ferdowsi University of Mashhad was typically selected for this purpose. The actuarial study population consists of approximately 300 employees of the university central organization. By using simple random sampling and Cochrane method, about 60 samples were selected. In order to achieve the goals of the present study, questionnaires containing various organizational productivity criteria were taken and respondents evaluated the effects of office automation on any of these criteria. Then using the opinions of sample members and Entropy Method, each criterion was prioritized in terms of influencing level from office automation system. Overall, the results showed that the sample members believe, among productivity criteria, the greatest impact of automation system is on the organization's ability to update executive and managerial methods, and improvement in accuracy and easiness of letter follow-up have received the least influence. Finally according to the specified priorities in this study future planning in implementing automation system and the way they affect productivity indicators could be managed efficiently. In this regard, authorities have to improve low productivity indices and promote them to higher levels.

Offering a suitable recommended service to a customer is one of the most important issues in banks. On the other side, recognizing the right time to recommend the right service is the focus of many researchers. Recognizing the right time to recommend the right service is of great importance to Planners because of two reasons: the efficiency of recommendations (customer acceptance) and efficiency (using the resources properly). In this research it has been tried to recognize the right time to recommend services that are interesting to customers with the use of data that has been gathered from customer's financial transactions. In this research, the results from predicting customer's future transactions (Positive trend, negative trend and change of behavioral patterns) which were predicted through perceptron neural network, were used for recognizing the right time to recommend services to customers. These services were chosen according to customer's interests and the results of predicting customer's behavioral patterns.