درخت حوزه‌های تخصصی

Unlike many arbitrations, the arbitration procedure for price reviews in gas industry contracts is not based on allegations that one party has breached a contract or otherwise committed a legal wrong. Instead, arbitrators are asked to determine whether the economics of a contract has been changed in the market, and thus should be adjusted and, if so, to establish a new price formula. Due to the complexity of revision of gas prices, the gas experts have significant role in these arbitrations. Regarding the role of gas experts, gas price arbitrations have specific nature. In this article, the nature of these arbitrations is examined to establish whether they are arbitration or expert determination as one of Alternative Dispute Resolutions (ADR). As Iran has the second proven natural gas resources worldwide and is the third natural gas producer in the world, so, Iran- Turkey case will come under scrutiny in this article.

The research on the Markowitz model and optimization of its portfolio using a variety of evaluation indicators and meta-beta-algorithms has always been the focus of attention of accounting and finance researchers. The results of studies carried out by various types of optimization methods are different in the Markowitz modified models. The purpose of this study is to measure the optimal portfolio and its corresponding return, with respect to the portfolio in the traditional Markowitz model, as well as to compare the position of the refining and petrochemical companies versus stock market outperformers, through integrating the operational criteria and the new indicators of liquidity using the genetic algorithm in the Markowitz model. Therefore, financial data related to the research variables for 35 cases of TSE-listed refinery and petrochemical companies from 2012 to 2016 fiscal years were extracted from Rahavard Novin database software and simulated by the genetic algorithm. The results show that returns on the stock portfolio optimized using the genetic algorithm and without considering the liquidity limitations and filters have a significant and positive difference with the return on the stock portfolios optimized with regard to the liquidity limitations and filters. Furthermore, the application of liquidity limitations and filters in the formation of optimal stock portfolios leads to a conservative increase in the choice of stocks (portfolio formation), which leads to a reduction in the risk and return of investment in such portfolios.

Technical and environmental challenges resulted from an off-design running condition of processes on a platform is an important issue. The weakness of strategies to stop or decrease the amount of the greenhouse gas emission production rate in the Persian Gulf is another important matter of concern which is intensively increasing. Recently, modern methods of energy generation from available renewable potentials near offshore platforms are suggested in the literature. Integration of renewable energy converters with offshore oil and gas platforms can solve both problems with machinery and environment to an acceptable extent. In this study, the economics of an offshore complex installed in the Persian Gulf is subjected to two different power generation systems. The first case defines the present condition in which the total power demand of the complex is supplied by burning the associated extracted natural gas on board the platform in its thermal power plant. The second case considers a wind farm located near Bardekhun in Bushehr province to be connected to the complex power network and shares its renewable source generated power with the platform. The economics and relative emission production of both cases are compared. Wind speed average and wind turbine power generation are considered having uncertainties. Monte Carlo Simulation (MCS) method is used to consider those uncertainties in outcomes. The second case is found obviously more beneficial however there are some conservative assumptions included due to a shortage of data and limitations which makes it more attractive.

Today, the strategy of outsourcing management, in economic enterprises and especially in government organizations, is one of the most important issues in the field of procurement chain management and Strategic Alliance Management. This issue is of special importance in public organizations and institutions. Because these organizations usually have a wide range of missions and supply chains, and according to macro policies and strategies, they need a comprehensive plan for outsourcing. Despite this importance, few studies have addressed the models of outsourcing development in firms. The purpose of this paper is to explain the model of outsourcing development management in the oil and gas industry, based on using content analysis method and deductive approach to the theoretical framework developed in practice through case analysis in Iranian Gas Transmission Company as the company with the most physical assets control on Iran. With this aim, the information required for the research, in addition to the researchers' observation and reviewing the related documents, was obtained through interviews with a significant population of senior managers and experts in the Iranian oil and gas industry. Using theme analysis method, this information was analyzed and the expected situation of the outsourcing development management in the industry, and the impact and interactions, were described and explained.

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.

<span class="H5CharChar"><span>This research identifies decision-making styles and components of succession planning and examines their relationship.The statistical population (190 people) in the present survey research consists of Pars Special Economic Energy Zone (PSEEZ) Organization managers who were assessed using the Census Method. Scott and Bruce’s general decision-making questionnaire and Kim’s succession planning questionnaire were used with a response rate of 90%. Data was analyzed with the SPSS and Smart Planning softwares. In analyzing the obtained results, the dominant decision-making style is rational, followed respectively by the intuitive, dependent, avoidant, and spontaneous decision-making styles. By investigating succession planning capabilities, the results of the research showed that among items in the succession planning system, candidate evaluation ranked first, followed by policy setting, system evaluation, and candidate development respectively as the priorities of the statistical population. The research hypothesis based on a significant relationship between the decision-making styles and organizational succession planning capabilities was confirmed. In order to improve its human resources and bridge the gap with global standards, it is therefore proposed that the senior management of the organization take serious steps to implement the succession planning program. It is also recommended that other esteemed researchers carry out the present research again after the implementation of the succession planning program in the studied organization and compare the results before and after the implementation of the program.</span></span>

The liberalization of natural gas markets and the emergence of gas hubs in recent decades have shifted the natural gas trade from the regional to the global trade. The growth and maturity of these hubs have weakened the previously established relationship between the natural gas price and the prices of crude oil and petroleum products. Therefore, predicting the price of gas as a strategic commodity has become more important for different countries. Using the neural network method, this paper attempts to provide a model for the monthly prediction of natural gas price. Based on the time series data from 2012 to April 2019 as neural network input, this model predicts the prices in five hubs and natural gas exchange centers in Europe. Based on the R2 performance evaluation index of 98% in the neural network model fitted based on the aforementioned data series, the neural network model has an acceptable performance in predicting the natural gas price. The results of this study show that using the artificial neural network (ANN) method, the gas prices in the European gas hubs, which are located in European Country, can be predicted with a high accuracy.

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.

Iran is one of the most important oil and gas producing countries in the world with 153.8 billion barrels of crude oil and 33.5 billion cubic meters of gas has 9.3% and 18% share of total oil and gas reservoirs, respectively. Rich hydrocarbon reservoirs along with a special geographical location are of the most important competitive advantages of Iran. The oil value chain has a special place in the social, economic structure and level of development of Iran. In policy-making, especially in global equations and in the long run, where uncertainty is an integral part it is necessary to pay attention to this area. As a strategic knowledge, futures studies can play an important role in mapping the future. In current study, the possible and plausible futures of Iran's fossil energies (oil and gas) in the 2035 horizon are presented in the form of four scenarios. In an environment where variables are dynamic and constantly changing and uncertainty is high, using scenario building methods is preferable for long-term horizons. In this study, 30 drivers with high uncertainty and impact on the future of Iranian oil and gas were produced. Using the cross impact analysis model and the balanced impact model, out of 41,472 possible scenarios, 10 scenarios with maximum compatibility were obtained, that presented in four scenarios namely: clean scenario (low carbon), a bipolar Middle East scenario, a cooperation and development scenario, and finally a postponed dream scenario.