نشریه نوآوری و ارزش آفرینی
پیاپی 5 (بهار و تابستان 1393)

Today, Organizations needs creating and sharing knowledge for development and this meet in the trusted environment. The Purpose of this research is identifying the influencing factors of knowledge sharing, knowledge creation and organizational trust of staff engineering faculty of university of Tehran. 100 people selected as research sample randomly. Data of this research analyzed by T-test, regression and AMOS. The results show that knowledge sharing and its dimentions between staff is lower than average level and externalization is higher than average level. Combination, internalization nd socialization and also trust to managers is lwer than average.. implicit knowledge sharing factors, trust to managers and socialization have the most importance from the view point staff. But socialization, synthesis and internalization organizational trust have an indirect influence on knowledge sharing and knowledge creation and knowledge sharing have a direct influence on knowledge creation.

In a research which this paper reflects its results , a model for open innovation in banking industry is offered. In fact , the relationship of open innovation as latent variable and the influential factors are stated in a model. In this regard, with reviewing literature and previous researches, a conceptual model for open innovation in banking industry was designed. This model includes three main constructs like internal factors (technological resources, capability of idea attraction ), external factors(external knowledge resources, technological changes) and the relationship factors as trust. By conducting interviews with experts regarding the model constructs and doing statistical analysis, it has been approved. Then in a field study in Parsian Bank, by distribution of questionnaires, the relevant data for approval of the model ingredients were gathered. At last, by using structural equation modeling and regression equations in path analysis form and using SPSS and LISREL Softwares , the data were analyzed and the interrelation among latent variable and independent variables were stated clearly. The findings show that, in internal side ,technological sources doesn’t show any direct relation with open innovation, while the capability of idea attraction, had direct relation with open innovation. In external side, knowledge and technological change had positive and direct relation with open innovation. In interaction side, trust had positive and direct relation with open innovation. The model of this research can be useful for cultivating open innovation in banking industries and as a powerful tool for policy makers and planner in this sector.

Based on the existing theoretical studies, Entrepreneurship and Innovation resulting from the creativity, as the assumption of economic growth, make favorable results of a dynamic economy. Main goal of present study is investigating the effects of Entrepreneurship and Innovation on economic growth in selected countries. For gaining this purpose, we used 30 selected countries’ data in the period 2001-2011 and panel data approach. Estimation results showed a significant positive effect of these two variables on economic growth in this countries, as one percent increase in Entrepreneurship index (TEA) and number of patents (as index of Innovation) result in change on per capita growth rate for 1.44 and 2.54 units respectively. Therefore for gaining economic growth, the better attention to these topics must be in countries’ programs.

The purpose of this study was to determine the factors that influence risk and systematic review of the effectiveness of risk in promoting innovation and current assessment of risk in science and technology park. The population consisted of 105 experts from the park and the 68 experts were selected through random sampling. The method analytical, first national-local system of innovation has been examined and described, then, participation and its formation procedure has been examined, through the next step, key causes effecting participation are extracted. After that, according to key causes affecting participation and their effects on city innovation, conceptual research model in a systematic way is presented. During the next phase, the conceptual model is evaluated by quantitive and qualitive study in the Pardis Science and Technology. The results show a variety of causes affect citizens participation, likewise these causes by reinforcing involvement. Influence innovation characteristics in cities and pave the way in providing dynamic atmosphere and creative to develop innovation in cities. Moreover, it was shown that their will not enhance the innovation significantly and barriers reinforcing participation in society shield be identified and revealed.

Educative technology is a systematic method of planning, implementing and evaluating the whole teaching and learning process, which is modulated and implemented, based on some special goals in a knowledge-creation way to provide more instruction that is effective. Using this technology, technology transmission is done in a where other than its initial place. This research is developed to study determinant capabilities to make the background of transmitting the educative technology in the Islamic Azad Universities of Mazandaran. Research method is a surveying kind of descriptive research. The faculty of Mazandaran University is of 1700 members. The method of randomly sampling is graded and on the basis of Jersey and Morgan Table 313 persons were chosen to determine the sample. The accumulated data from questionnaire is done by verified tools. Admissibility of content is used to determine the extent of admissibility, and its constancy is examined by Keronbakh alpha coefficient and 0.819 is calculated. The research data is analyzed by both levels of descriptive statistical in order to determine the frequency and mean percentage, standard deviation- curvature and extension- minimum and maximum and diagram, and deductive statistical level in order to analyze multi-variance regression exam, factorization and internal analogy. Analyzing the data showed that the degree of variance, which the capability of interface consisted of acquiring information and knowledge, learning, learning-detergent, explains that the technology transmission is more than other capabilities and conceptualizes the level of variance by leap frog exam (α

This Article explains the relationship between intellectual capital and organizational intelligence with Knowledge Entrepreneurship capabilities among faculty member this is followed to the relationship between organizational intelligence and intellectual capital with the ability to Knowledge entrepreneurship view University faculty members to examine. Its design was a descriptive that was conducted by correlational study. The research population is all faculty members shahrekord University's that Among them, 189 Academic Member of different Department was selected. Required information was also collected through three questionnaires finally, the data obtained were analyzed using the t test, correlation and multiple regressions. Some of its findings are as follows: mean of all organizational intelligence components organization and would like to change out the components is higher than other components Intellectual capital (general) is than the mean, but the average relationship capital is above average knowledge Entrepreneurship capabilities (General) in University faculty members is above average Between organizational intelligence (generic) with knowledge Entrepreneurship capabilities (General) there is a significant relationship And the component's courage and willingness to change, the highest relationship and :::union::: have not agreed to any relationship Between intellectual capital (general) with the knowledge Entrepreneurship capabilities (General) there is a significant relationship and Finally, 41% of the variation associated with entrepreneurial capabilities of faculty members with the intellectual capital and organizational intelligence can be explained.