درخت حوزه‌های تخصصی

Context/purpose: Factors affecting the technology, and innovation levels of crude oil treatment’s surface facilities, are numerous and extensive. Localization of surface facility as a high-tech Technology, which include oil and gas production and processing units, has always been one of the main issues, and technology management and innovation are essential priorities for these facilities. The purpose of this practical, heuristic, and quantitative research is to develop the studies and identify the current state of technology for crude oil treatment’s surface facility technology level in Iran and compare it with its global one. Methodology: Considering the wide range of factors that are used in evaluating technological and innovative capabilities with uncertainty. This research is applied in terms of purpose. Using a survey method and collecting qualitative data through a questionnaire, has led to descriptive results. This study by referring to experts and specialists, these factors according to their importance and priority in different classes of classification and then with statistical analysis, the relationship and correlation of these factors have been examined. For this purpose, 44 experts in oil and gas industry have been used for replying the qualitative questionnaire, then the fuzzy system model has been used to investigate the uncertainty in their answers and Quantitative results. Findings: The results of this study show that the most influential factors in surface facilities such as technological and innovative factors and managerial potential and human resources, etc. are not at an acceptable level compared to developed countries. Conclusion: The analysis of uncertainty between opinions of experts and factors investigated also confirms that attention to innovation and technology capacity and Technology capability and human resources in the National Iranian Oil Company should be increased.

Blockchain technology can bring opportunities, such as reducing transaction business costs and increasing transparency to the oil and gas industry. This model is adopted as a public maturity model in business processes, industry, and IS/IT organizations. This model is classified into five levels of emerging, identified, defined, operational, and mature to identify the applications of this technology toward flourishing and providing the ultimate solution to most of the organization's problems. Therefore, this qualitative research has been designed to identify maturity levels to provide a conceptual model of maturity levels of blockchain technology in grounded theory. First, the initial factors extracted through reviewing the research background; then, by conducting semi-structured interviews with 12 blockchain technology experts, the data were collected. It is noted that the interview was stopped as the duplicated and identical data, based on grounded theory research strategy The meanings and characteristics of the blockchain maturity model challenges presented in three stages of coding. The reliability of the interviews has confirmed by the reliability methods of Test-Retest and intra-subject agreement. The results of data analysis indicate that experts at the emerging level to primary educating and technology monitoring, at the identified level, to recognize the applications of this technology and regulation, at the defined level, to develop a roadmap, proof of concept, and Feasibility, At the operational level, the stakeholder resistance, and at the matured level, the entry new members, the consortium, and increasing attention to maturity requirements, is a spotlight with more frequency than other indicators and elements.

The challenge of environmental pollution and climate change have made countries to develop energy transition progress to move from non-renewable energy sources towards renewable ones. This paper seeks to consider energy transformation process and analyze its pattern in Iran by modeling through the ARDL bounding testing method over the period of 1993-2018. The empirical estimations depicted that in the long-run economic growth and inflation rate negatively impact on energy transformation of Iran, while increase in carbon dioxide emissions and appreciation of Iran’s national currency accelerate the energy transition process in Iran. Regarding the short-run relationship, the major results represented an evidence of positive impact of exchange rate on Iran’s energy transition process, while the other variables have negative coefficient. As a major concluding remark, for the case of Iran, the findings prove that the influential impacts of explanatory variables on energy transformation are stronger in long-run rather than in short-run. Therefore, the presence of efficient long-run energy planning is recommended.