درخت حوزه‌های تخصصی

Paying attention to special opportunities and trying to enumerate existing capabilities at the heart of regions by using the scientific and technological capacities available to them are some of the instances in which the shortfalls in development programs can be eliminated and the way can be paved for a balanced progress at the local level with the fair distribution of opportunities. To this end, a transition from first (Education oriented) and second (Education and research oriented) generation universities, towards third generation (3G) universities which, in addition to education and research, actively seek to impact society and the economy, is one of the most central issues which can bring about full scale, dynamic, and sustainable progress in the regions based on science and technology. As a first step in the present research, attributes in third generation universities impacting regional progress have been examined by studying the resources. Using the Delphi method and Shannon’s entropy, the mentioned components and their weight were examined based on the opinions of 63 well-known experts active in the national oil industry and specialists in universities, and research, science and technology centers affiliated to the industry. Twenty-eight basic components and six principal components were approved in the survey of experts. Of these, three were prioritized and given weight in the following order: 1) Formulating regional endogenous innovation and value creation ecosystems, 2) designing and implementing a regional skills, education, and training system, and 3) developing organizational capacities according to the new functions of regional universities.

Today, numerous studies have investigated the role and effects of intangible assets on companies' performance. The existence of extensive literature regarding the use of intangible assets as a competitive advantage, in addition to the importance of performance dimensions affected by these assets, is the focus of the attention of various researchers. Regarding examining the performance dimensions of banks, the CAMEL model can be a suitable basis for evaluating the effects of intellectual capital. Although there are many models for calculating intellectual capital, the added value of the intellectual coefficient is still one of the most common methods. Therefore, in the current research, the effects of intellectual capital (based on the calculation model of the coefficient of added value of intellectual capital) on the performance of banks (based on the CAMEL model) have been investigated. Also, the shape of the function (linear or nonlinear) has been investigated in this research. The results show that the value added of the intellectual capital coefficient in the ninth quantile has a significant relationship with the variable of capital adequacy. The form of the relationship is nonlinear and inverted U. This variable affects the quality of assets in the seventh to ninth quantiles, management in the eighth and ninth quantiles, income in the first and second and sixth to ninth quantiles, and liquidity in the first to fourth quantiles. The shape of the function is U, inverse U, and inverse U, respectively.