درخت حوزه‌های تخصصی

Nowadays, using appropriate technologies in order to increase productivity of production factors can be resulted in optimal factors employment and production enhancement in factories. Technological change is considered as one of the main sources of productivity growth. The purpose of this paper is to analyze the various aspects of technological change and their relationship with total factor productivity in Iran’s petroleum refineries. In order to achieve this goal, we used the econometric method to estimate the cost function. This method seems useful to estimate the structure of factors demand, considering changes in factors prices and technology status. We estimated a translog cost function as well as equations system of cost share, using Seemingly Unrelated Regressions (SUR) approach from 1982 to 2012. The results show that the average rate of technological change was -0.482 percent over the study period. It means that over time, the cost growth rate of production units was decreased mainly due to technological change. Furthermore, the results indicate that technological change was biased towards the use of more labor and material, while it saved more capital and energy. Also, based on the estimation results, we decomposed total factor productivity growth rate into the contributions of technological change and economies of scale. Decomposition results show that the share of technological change in the productivity growth is greater than that of scale economies.

The organizational capital is one of the important components of the intellectual capital. the organizational capital is an infrastructure in term of organizational successes so that it plays a vital role in achieving the goals of organization. Managing and directing “Organizational Capital” entails identification and measurement of its attributes. Although the literature on the intellectual capital is rich, the review shows that few researches have studied the organizational capital models and the related attributes. Hence, at first, this study aims to collect the organizational capital attributes through reviewing the literature and classify them as a comprehensive model. Then, a Multiple Attribute Decision Making (MADM) approach in uncertanity situation has been utilized in order to prioritize and rank the classified attributes by gathering the opinions of experts. In this study, the Grey systems theory has been used for the first time as a method to deal with uncertainty inherent in the in the organizational capital measurement. Whereas the presented comprehensive model can be applied in different situations and industries, it seems that this model may have different attribute weights with regard to the nature of organizations’ activity and internal and external conditions of the specified industry. Finally, the proposed methodology has been utilized in the petroleum industry in Iran and prioritization procedure and ranking results have been illustrated step by step.