درخت حوزه‌های تخصصی

Iran's Ministry of Petroleum due to empowerment of Iranian companies for executing local mega projects, regional and international markets penetration and upgrading national technology in petroleum upstream industry, predicted a competent Iranian partner called Exploration and Production (E&P) companies, for cooperating with the International Oil Company (IOC) in Article Four of the Cabinet Approval. Now considering the absence of IOCs, it seems that the capacity of other oil contract models to be used by Iranian oil companies should be examined. The purpose of this paper is to investigate the feasibility of Concession agreements’ execution, by an E&P company in Iran’s upstream industry. The research method is descriptive and analytical and governing laws of Iran are reviewed in this study. Since the host government makes the final decision on the conduct of oil operations, it cannot be described as domination of oil resources, and therefore does not seriously contradict the Iran’s Constitution. Furthermore, E&P companies will not be subject to Article 81 of the Constitution. In the Oil Laws, the only restriction on the inflow of foreign capital in the upstream industry of Iran has been observed, which again does not apply to E&P companies. In the Laws of the Five-Year Plans, this restriction of oil laws has been adjusted too much in which it seems that the restriction has also been removed for IOCs. Finally, the investigation shows that there are no major legal barriers in applying Concession agreement in case that the operator is an Iranian E&P company.

Stock price prediction is one of the crucial concepts in finance area. Machine learning can provide the opportunity for traders and investors to predict stock prices more accurately. In this paper, Closing Price is dependent variable and First Price, Last Price, Opening Price, Today’s High, Today’s Low, Volume, Total Index of Tehran Stock Exchange, Brent Index, WTI Index and Exchange Rate are independent variables. Seven different machine learning algorithms are implemented to predict stock prices. Those include Bayesian Linear, Boosted Tree, Decision Forest, Neural Network, Support Vector, and Ensemble Regression. The sample of the study is fifteen oil and gas companies active in the Tehran Stock Exchange. For each stock the data from the September 23, 2017 to September 23, 2019 gathered. Each algorithm provided two metrics for performance: Root Mean Square Error and Mean Absolute Error. By comparing the aforementioned metrics, the Bayesian Linear Regression had the best performance to predict stock price in the oil and gas industry in the Tehran Stock Exchange.

Currently, distribution of various types of petroleum products is performed exclusively by the government. The high price of land in metropolitan cities, lack of incentive for the private sector to invest in construction of filling station due to the low-income, have caused filling stations to be insufficiently available. One of the solutions to overcome this obstacle is to use the ability of the private sector for distribution of petroleum products. To reduce the government's ownership, the market structure for petroleum products distribution in the country needs to be changed. This change should be firstly done gradually and step by step, and secondly, the government has to monitor this issue at various stages. In this study, three stages are proposed for the market restructuring of the petroleum products distribution in the country, and the conditions and requirements for each stage are separately identified. For the private fuel distributing companies, the most important problem is the economic issue and having profit. On the other hand, since the product price is still subsidized in the country, therefore, it is indispensable that the amount of commission fee should be determined in such a way that the activity for private companies is economically justified. In this study, the amount of products commision fee is calculated concerning capital and operatational expenditures, using the engineering economics method in different situations by COMFAR version 3 software.

The purpose of this study is to evaluate the financial performance of provincial gas distribution companies as affiliates for National Iranian Gas Company. To this end, we identified financial performance indicators in accordance with the requirements of NIGC through a review of theoretical foundations and interviews with a number of financial and planning experts and then prioritized using the Analytical Hierarchy Process method. These indicators lied in four groups of liquidity, capital structure, profitability and activity criteria, respectively. Then, the weighted indicators were analyzed using TOPSIS technique in Expert-Choice software and the final ranking of the companies was provided. The results showed that based on the identified criteria, provincial gas companies of Hormozgan, Yazd, Markazi, and Kermanshah had a favorable financial performance and Ilam, Mazandaran, Chaharmahal and Bakhtiari and Zanjan provincial gas companies had a weak financial performance with respect to other companies in three years under review and some suggestions have been made in this regard.

Organizations enter international competitive markets because of different motivations such as: gaining international fame, long-term growth, increasing profitability, taking advantages of economies of scale, maturing domestic market, the intensity of competition in a domestic market, governmental rules and regulations; but actually, all of the companies aim to export performance improvement. According to the oil industry situation in Iran's vision, the 4th paragraph of general energy policies and, not having a comprehensive model of Iranian oil products export performance, this research could improve and develop this industry in international markets. This research method is phenomenology and statistical society includes export and marketing managers and experts in the oil industry. Non-probable sampling and snowball sampling method was used in this research. Regarding this qualitative research, semi-structured depth interview was used to gather information and 7 deep interviews were done regarding saturated rule. Structure, internal, interpretive and descriptive validity were used in order to Validation; for surveying reliability, revision while coding and surveying by another informed person were used to insure correct coding. After open, axial and selective coding and using Atlas.ti qualitative software, suggested antecedents of Iranian oil products export performance includes: market orientation, company resources, marketing mix, macro environment and items of Iranian oil products export performance includes: financial performance, customer satisfaction and customer retention. Most of the previous studies have focused on positivism and quantitative research methodology while we used the qualitative method in this research.

Natural gas infrastructure is growing and global LNG volumes are set to expand substantially. This results in more trade between different regions of the world and emergence of a more competitive and relatively more integrated global gas market. In addition, several key markets are currently undergoing structural reform with the aim of opening them to competition. In line with these changes in the global market, gas pricing methods also need to be adapted. This paper discusses the challenges of natural gas pricing and price review in this new market environment. Firstly, the current structure of the global and regional gas markets is analyzed. Secondly, challenges in natural gas pricing and price review are discussed, and in this context oil-indexation and hub-indexation are analyzed in detail. Thirdly, the recommended framework for pricing and price review in the more competitive global market are presented. The pricing mechanism and price review framework should be tailored to the characteristics of the gas market and the stages of growth and maturity of the market.

Since a large number of the oil and gas projects are related to the supply chain, the selection of contractors and suppliers is very important. In projects, a contractor is obliged to supply the goods from suppliers and manufacturers approved by the clients, while most companies in Iran, including the company surveyed in this research, i.e. Iranian Offshore Engineering and Construction Company (IOEC, do not have a scientific approach to this issue). The main objective of this research is providing a scientific and practical approach to ranking suppliers and contractors at IOEC and selecting the best ones. In order to achieve such an objective, an integrated model of Swing and TOPSIS methods with fuzzy approach has been designed and applied to a real case. The actual data used are obtained from the post-lay survey of the exports and infield pipelines of South Pars development phases 13, 14, and 22. <strong>Keywords</strong>: Supplier Selection, multi attribute decision making (MADM), Oil and Gas, IOEC, Swing, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy, Pipelines

Internationalization of businesses is considered as a key factor in economic development and growth of the economic entities. On the other hand, the ability of the system for endurance and reliability is inevitably dependent on the success that the system gains in communicating with the external environment; in other words, the sustainability of the system is entirely dependent on system capability for adaptation, change and responsiveness to the environment. Furthermore, Technology-based businesses are highly dynamic and use different internationalization patterns. A literature review shows that comprehensive studies have not been conducted despite the necessity of today's businesses to move toward sustainable internationalization. Therefore, this research examines existing patterns by presenting a model for sustainable internationalization in technology-based businesses. In the present study, 6 technology-based businesses in oil and gas industry have been investigated using a multi-case interview method. The validity and reliability of data collection tools have been confirmed. The results of the interviews performed during the two coding stages revealed that economic, environmental, social and technological factors are among the factors influencing the adoption of sustainable business internationalization strategies along with a focus on a sustainable business model. This study also presents different types of sustainable internationalization strategies and classifies the internationalization’s sustainability index into two categories of profitability and sustainability of relationships in the network.

One of the requirements for the formation of stability in regions and sub-regions is the creation of regional security complexes. The necessity of creation these regional security complexes is the existence of security orders which are outcomes of regional actors’ agreements to control internal crisis and challenges and to manage the level of external interventions in regional affairs. Due to its geopolitical, geo-strategic and geo-economic importance, especially in the oil field, the West Asian region has a great impact on the international security of the oil market, and the formation of an endogenous regional security complex can provide the necessary basis for oil security. The strengthening and expansion of the Axis of Resistance strategy under Islamic Republic of Iran leadership in formation a regional security complex could ensure oil security, as much as possible. This article studies the central impact of the Axis of Resistance strategies, especially the Islamic Republic of Iran in ensuring oil security through the formation of regional security complex. Countering unilateralism in oil market management, countering US-managed chaos to gain new customers in the oil market, and countering oil conversion as a financial source for international terrorism are some of the strategies of the Axis of Resistance and the Islamic Republic of Iran in this regard.  

Environmental tax reform can be used in a fundamental transformation towards a green economy. Green tax may reduce the energy consumption and pollution emissions, as well as other economic benefits. This study mainly focused on the effects of green taxes on labor demand in Iranian industry sector during 1980 – 2015. Regarding the double dividend hypothesis, green taxes may improve the employment by substitution between labor and energy. Using CES production function, the elasticity of substitution between labor and energy is estimated 0.48 percent for industry sector. Then, the effect of green taxes on labor demand is investigated subject to government’s fixed budget constraint and labor demand function. The results show that green tax will have positive effects on employment in the industry. During the transfer of the labor tax system to the green tax system, the environment and employment may improve, without additional cost to the government and producer.

Today, random and intelligent risks have made supply management disruptive much more than before. Over the past decade, many supply network (SN) disruptions in oil and gas industry have been due to the deliberate risks posed by international sanctions. Undoubtedly, resilience in general and resilience of SN in particular has been a systematic approach for firms and organizations to deal with disruptions. This study aimed to measure, assess and compare the resilience of SNs in oil and gas companies based on mixed approach: Systematic Literature Review (SLR) and Complex Adaptive Systems (CAS). The statistical population of the study consisted of 11 subsidiaries of the National Iranian Oil Company. A robust systematic review of the literature was conducted to collect all the crucial components of supply network resilience (SNR) from 608 articles that ultimately resulted in 40 key factors based on the context-intervention-mechanism-outcome logic (CIMO-logic). Quantitative analysis was carried out in the upstream sector of 3 subsidiaries of Iranian Central Oil Fields Company (ICOFC) including South Zagros, East and West Oil and Gas Production Companies. The results demonstrated a relationship between components and their measurement in upstream companies. A further finding is that South Zagros Oil and Gas Production Company was more resilient than the other two companies.