درخت حوزه‌های تخصصی

Due to the importance of technology and innovation in the oil industry, it is necessary to look more closely at the intellectual property of this industry. Intellectual capital is a concept that can classify and report the technology capabilities and knowledge spillover in a comparative format. The present research is aimed at providing an appropriate framework for reporting intellectual capital in oil industry companies. For this research, semi-structured interviews have been done with 15 experts and people from petrochemical and petroleum companies with intellectual and experiential thinking space. After the interview, the relevant texts were analyzed by the thematic analysis method. Finally, the intellectual capital reporting framework was extracted as a qualitative research product. Then, a questionnaire was designed to assess the acceptance of the qualitative model, which was distributed among the statistical community consisting of professors and PhD students and experts of different universities and companies. The results of the distributed questionnaire showed that the components of the framework were approved by the respondents.

Considering global warming and importance of sustainable growth in economic sub-sectors, this paper presents and estimates an empirical model of renewable energy consumption for the industrial sector of selected OPEC and non-OPEC countries over the period 1990-2014. Panel co-integration estimates by Pedroni (1999,2004) and Westerlund (2005,2006) show that, in the long term, increases in industrial value added per capita, real oil prices, and CO2 per capita are found to be major drivers behind per capita renewable energy consumption for both OPEC and Non-OPEC nations. Panel Granger causality by the Dumitrescu and Hurlin (2012) method confirms that there are bi-directional causality relationship between research variables and therefore verify feedback hypothesis. Finally, FMOLS and DOLS results show that when industrial value added per person increases, per capital renewable energy consumption increases by greater magnitude in non-OPEC than OPEC countries; also an increase in CO2 emissions per person increases per capita renewable energy consumption by greater amount in non-OPEC than OPEC nations.

Technology Transfer is a process which technology supplier can transfer technology to receiver through it by numerous activities. Now in Iran, lots of companies are facing difficulties in correct implementation of technology transfer. Varying complexity and specific nature of each of the technologies has been caused many problems to technology transfer process design. In the other hand, the lack of integration between the components of the technology transfer process and the lack of consistency in the way of transferring with the company's strategies has been caused additional difficulties. In this paper, we have attempted to design the model of technology transfer process in the Oil, Gas and Petrochemical industry which includes three stages of " decision making, technology transfer and acquisition the knowledge".The model is derived from the literature survey and is developed based on the experiences with adding necessary elements in order to resolve the problems. In order to validate the model, it is used for DMD technology transfer in RIPI.

It seems that paying attention to social responsibility by companies can lead to a better stakeholder’s view toward the company, thereby increasing their loyalty and trust. Having the ability to obtain more financial resources in times of crisis, due to the greater loyalty of investors, will result in reducing the company risk. In contrast, being overconfident about the loyalty of individuals to the company can lead to keeping a short-term debt structure, thereby increasing the risk of obtaining financial resources. Recently, the negative impacts of petrochemical companies on the environment have made social and environmental groups focus more on this industry, and this focus has pushed companies into involving in more social activities. Considering the potential impact of CSR on the company’s risk, this study examines the relationship between corporate social responsibility and value at risk in petrochemical industry using a sample of 27 companies listed on the Tehran Stock Exchange during the 2010-2017 period. Eviews 10 is used for computing and analyzing the data, and the generalized auto regressive conditional heteroskedasticity (GARCH) model is employed to estimate value at risk. The results indicate a negative and statistically significant relationship between corporate social responsibilities and company value at risk. <strong> </strong>  

The aim of the current research is to explore a strategist developing model based on a mixed method for National Iranian Oil Company. This study is an exploratory and applied research, and it methodologically uses mixed methods. In the qualitative part, which is based on a data theory approach, the required data were gathered by means of semi-structured interviews. The participants involved in the study were 24 industrial and academic experts. After collecting the data, they were encoded, and necessary measurements were then taken to determine dimensions, main categories, subcategories, and relevant concepts related to our coding system. Having gained a coded table which was pivot and selective, finally, the goodness of the fit of the paradigmatic research model was developed (n=320). Quantitative analyses were performed by means of SPSS 24 and Lisrel 9.30 software. The qualitative findings of this study included 11 main categories, 24 subcategories, and 98 concepts. The concepts which were related to development strategists included causative factors (individual factors, organizational factors, and discourses); the category of central strategic thinking (conceptual and organizational thinking, foresight, and philosophical attitudes); obstructive factors (both inter organizational and intra organizational factors); contextual factors (cultural context, psychological factors, and organizational independence); strategies to identify the talents, to attract them, and to retain them; the outcomes of the establishment of monitoring system; strategic thinking; and the process of developing experts in our oil company. Our findings resulted in discovering a pattern to develop experts in oil industry.