درخت حوزه‌های تخصصی

International oil and gas investment disputes constitute an important part of Investor-State Dispute Settlement (ISDS) system. Investment arbitration which considers as a prevalent dispute settlement mechanism in this area is under serious criticisms, since it endures huge costs, causes length of process and devastates the parties’ long-term investment relationship. In the recent years, possibility of applying Alternative Dispute Resolution (ADR) and hybrid dispute settlement mechanisms have largely discussed. Mediation-Arbitration (“ Med-arb”) ; is one of the hybrid and integrated dispute settlement mechanisms which embodies flexibility, non-judicial and negotiate-oriented benefits of mediation and finality advantage of arbitration simultaneously and in a single process ( not in separate processes). In this method, mediation is first attempted by the parties before arbitration could be started, If no settlement is reached during mediation phase, then the appointed neutral or mediator, will act as independent arbitrator(s) and proceed the case under the arbitration process and will render a binding arbitration award. In this method, if parties reach an agreement during the first phase (mediation process), they will not incur huge costs of lengthy investment arbitration. In this method, even If the first stage (mediation process) fails, since mediation process made the disputes more clarified and narrower, then the arbitration process is less lengthy and arbitration will be proceeded more efficiently. Moreover, both investors and host- states in oil and gas investment area, do have strong ambitions to maintain the investment relationships. These goals are achieved better via adopting med-arb proceedings.

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.

<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>

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.