درخت حوزه‌های تخصصی

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.

Converting unused offshore oil and gas installations into artificial reefs as one of the alternative methods of decommissioning, is used in many coastal states across the globe for the purposes of coastal management, enhancement and attraction of living marine resources, protection and preservation goals. Despite the positive impacts of artificial reefs, there are also potential negative impacts which require adequate maintenance of assets as well as, continuing monitoring and supervising. Although a lot of countries have comprehensive regulation on artificial reefs, many nations have blanket regulation requiring obsolete structures to be removed, yet it can bring about enormous environmental, socio-economic benefits. The sensitivity of deployment of structures as artificial reefs induced international and regional conventions to intervene and regulate the matter. The aim of this paper is to compare the most important international and regional conventions and critically compare and analysis them with the current Iran’s national laws and regulations. Iran is one of the biggest oil and gas producers and have a huge number of offshore installations which will require decommissioning in the coming years. Therefore, comprehensive national regulation should be enacted on decommissioning and also the possibility of creation artificial reefs. The authors seek out to evaluate the existing legislation in order to assess the potential capacity of Iran’s seas for converting the installations into artificial reefs.

COVID affects various sectors of the economy, including energy. Measuring these effects on the energy sector can help policymakers adopt appropriate protectionist policies. In this paper, the effect of COVID shock on energy and non-energy sectors has been investigated using the DSGE model. For this purpose, two shocks of preferences and shocks of labor supply have been used. This article adds COVID to the model as well as adding energy to the New Keynesian model. The effect of COVID on the energy and non-energy sectors of the two channels of labor supply and consumer preferences has been investigated. The results of the study indicate that consumption, investment, and production in the energy sector have increased under the influence of both shocks. But consumption, investment and production in non-energy sector have declined. Prices and production costs have increased in both sectors. Also, the negative effects of the preferences shock were greater than the negative effects of the labor supply shock.

The goal of this paper is to study the effect of Covid-19 outbreak on oil markets volatility.Covid-19 as a pandemic has a significant negative effect on global economy.  Alongside the global economy, stock markets responded to the outbreak immediately. The first case appeared in February 20 in Iran.  The outbreak has different implication for Iranian economy. Using daily data on return of oil companies registered at Tehran Stock Exchange (TSE), change in new cases integrated into the E-GARCH model as a proxy for the virus outbreak form February 20, 2020 until December 12, 2020, it applies an E-GARCH model to derive volatilities in index. To test the effect of Covid-19 outbreak on the volatilities in oil companies’ index, change in daily new cases integrated into the E-GARCH model as a proxy for the virus outbreak. The results show that, despite of fresh money pumped into the market and increase in market transactions and volume of trade, during the first phase of outbreak, Covid-19 has negatively affected returns of oil companies’ prices.

One of the governmental research organizations is Research and Technology Organization (RTO), whose primary is to harness science and technology in the service of innovation or public bodies and industry, to improve the quality of life and build economic competitiveness. Despite the importance and role of research and technology organizations in the innovation system, previous studies have not addressed the concept of technology development projects' effectiveness implemented in RTOs. This study attempts to investigate this concept from two aspects: "the concept of effectiveness in research projects" and "the concept of effectiveness in RTOs" to define this concept in a research and technology organization (RIPI). To evaluate and implement the proposed framework, eight technology development projects are studied at the Research Institute of Petroleum Industry. Based on the developed indicators and their weights, the effectiveness of eight technology development projects has been evaluated using ARAS, COPRAS, MOORA, and TOPSIS multi-criteria decision-making methods.

One of the main approaches in capacity building and strengthening organizational abilities to integrate activities along the supply chains is the integration, creation, and reconfiguration of internal and external capabilities of components based on the theory of dynamic capabilities. The main assumptions of this theory are based on the purposeful strengthening and promotion of organizational capacities to improve the executive capability of human resources. The objective of this study is to provide a model for promoting dynamic capabilities for international markets of Iran's oil and gas industry. The statistical population includes managers and experts in the field of oil and gas working in the affiliated organizations in Iran. Data were collected using a researcher-made questionnaire whose validity was verified by the content method and its reliability was examined and verified by test-retest method with Spearman correlation coefficient of 0.877 and internal consistency was verified using Cronbach's alpha coefficient. Based on the findings, the dynamic capabilities model was formed on 24 primary factors that were classified into 7 main components. In addition, these components were further classified into four main categories based on the competence-emergency matrix. According to the results, "Strategic conducting of capital resources" accounted for 19.78% of explanatory power and was the most important factor in promoting dynamic capabilities. The findings of the present study can be useful for decision-makers to promote competitiveness in terms of dynamic capabilities in Iran's oil and gas industry.