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<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>

Considering global warming and importance of sustainable growth in economic sub-sectors, this paper presents and estimates an empirical model of renewable energy consumption for the industrial sector of selected OPEC and non-OPEC countries over the period 1990-2014. Panel co-integration estimates by Pedroni (1999,2004) and Westerlund (2005,2006) show that, in the long term, increases in industrial value added per capita, real oil prices, and CO2 per capita are found to be major drivers behind per capita renewable energy consumption for both OPEC and Non-OPEC nations. Panel Granger causality by the Dumitrescu and Hurlin (2012) method confirms that there are bi-directional causality relationship between research variables and therefore verify feedback hypothesis. Finally, FMOLS and DOLS results show that when industrial value added per person increases, per capital renewable energy consumption increases by greater magnitude in non-OPEC than OPEC countries; also an increase in CO2 emissions per person increases per capita renewable energy consumption by greater amount in non-OPEC than OPEC nations.

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.

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

Supply chains have experienced rapid growth in recent years. Focusing purely on economic performance to optimize costs or return on capital can no longer guarantee development or sustainability in the chain. Hence, the concepts of green SCM and SSCM emerged to emphasize the importance of social and environmental concerns along with economic factors in supply chain programming. Using the SD method and considering KM , this study investigates the variables related to this topic and the variables of sustainable supply chain management and it determines the relationships between these variables and their impact on the research purpose. To achieve this, first, previous studies are reviewed, and the relevant variables are extracted and finalized according to the experts. Next, SD modeling is designed and various scenarios are defined by changing the effective values of the system. Eventually, several policies are presented to achieve the optimal situation. The optimal values for the ten main influential variables are extracted according to the expert opinion and the effects shown in the model are determined by these changes.

In spite of decades from its establishment, National Iranian Oil Company (NIOC) has failed to get the reputation of a prosperous international company. This failure may be due to different reasons but the role of directors in the success of the company is undeniable. How to have efficient directors and therefore a strong board of directors is a challenge that in its response is raised the concept of Good Corporate Governance that by crushing this concept, It will be applied it in the process of appointment directors. The research intends to scrutinize and describe the process of board of directors' appointment from Good Corporate Governance point of view, identifying NIOC advantages and disadvantages thereof. It was found that some indicators of Good Corporate Governance principles such as specialized diversity of board composition are desirable and minimum competencies are less and there is no independent managers criteria. At first hereto, the process is described in three sections: appointment entity, board qualifications and nomination process and following is brought its analysis by using descriptive-analytic method. In conclusion, suggestions are made in regards with enhancing standards of NIOC Good Corporate Governance about board of directors' appointment .

The purpose of this research is choosing the effectiveness function of entrepreneurial outsourcing under themes of bureaucratic culture in Golestan Gas Company by Analysis CARD and Developed Theory of Rough (ERST). The statistical population of the study included two qualitative and quantitative sections, in which 14 experts in the fields of management and entrepreneurship participated in the form of panel members and in the quantitative section, 25 managers and deputies in different layers of the gas company in Golestan province also participated. The basis of the analysis in this study was content analysis in order to identify the functional components of entrepreneurial outsourcing and propositions of bureaucratic culture themes. Raff's analysis set was also used for matrix analysis to identify the most important stimulus for promoting entrepreneurial outsourcing in the first section, and in the second section to select the most effective entrepreneurial outsourcing function under the theme of bureaucratic culture. The results showed that the most important proposition of bureaucratic culture is the proposition of codified systems and the most effective function of entrepreneurial outsourcing in Golestan Gas Company was strategic.

The purpose of this research is selecting the Most Effective Strategic Capability for Sustainable Development under Risk and Uncertainty in the Oil Industry by Rough Set Theory. The research methodology is qualitative and quantitative. The target population in the qualitative section included 14 industrial management specialists at the university level and in the quantitative section 32 senior managers in companies active in the Oil Industry. In this research, were used Meta-synthesis and Delphi analysis methods were used to identify the components and propositions of the research and in a small part, the analytical approaches of Ruff collection. The results showed that among the 15 final statements of risk and uncertainty in the Oil Industry, the risk of change in domestic law relative to political / economic diplomacy in the development of infrastructure for the Oil Industry X5 as the most important risk statement and uncertainty in the field. Political and legal risks that have been identified as a measure of the strategic viability of sustainable development. Finally, it was found that, despite the most probable risks selected in this study, namely the risk of changes in domestic law to political / economic diplomacy in the development of infrastructure of the Oil Industry "X5" Existence of sanctions of the world powers "X1" Strategic capabilities of sustainable economic development is the most important feature that should be considered in the country's inflationary conditions.