نشریه مطالعات راهبردی در صنعت نفت و انرژی
سال پانزدهم شماره 60 (بهار 1403)

The above research was carried out with the aim of presenting an integrated economic model for outsourcing projects in the gas industry, which in terms of purpose and result is developmental-applied; Based on the data collection, it was explanatory-descriptive and based on the type of data, it was quantitative-qualitative. The statistical population included all senior managers, middle managers and active experts in Lorestan Gas Company, who somehow participated in the decision-making of outsourcing activities. In the qualitative part of the research, a targeted non-probability sampling method was used, and after conducting 21 interviews and achieving the theoretical saturation of the data, the interviewing process was stopped. In the quantitative part, the statistical population census method was used to collect quantitative data, and as a result, the size of the statistical sample of the research in the quantitative phase was equal to the size of the statistical population, equal to 83 people. In the above research, qualitative and quantitative data were collected during two separate stages. Qualitative data were analyzed using thematic analysis method, as a result of which 188 basic codes were organized in the form of 4 main categories and 24 subcategories. Quantitative data in the above research were analyzed in two stages; In the first stage, by using the failure factor analysis (FMEA) method, an action was taken to calculate the priority number of each risk (RPN), by removing safe risks from the analysis process, the economic model for outsourcing projects in the gas industry using It was designed using fuzzy interpretive structural method (FISM)

The aim of the research is predicting critical risks of the gas transmision network and choosing optimal corrective action in optimal time and cost. Risks were predicted with data-mining algorithms based on the CRISP methodology. K-Means, Kohnen, Two Step algorithm and Neural Network Algorithms, C.5 Tree, Nearest Neighbor and Support Vector have been used for clsutering and classification. Markov decision process is also used to select the optimal control action.Decision making problem is based on back down induction in stochastic dynamic programming in the limited time of modeling and simulation and sensitivity analysis and model validation. Based on results, in 97.56% of the agreed data, learning was created and the accuracy and validity of the data mining model was estimated at 86.92%. Also, 13 risks have been identified as critical, and the simulation results show a 92% improvement rate in the cost and 77% in the control action implementation time.

Flexibility means versatile and multi-purpose employees; In other words, this model means the versatility of employees and their ability to perform various tasks and move in jobs, the purpose of this research is to investigate the impact of flexibility of human resources on knowledge management with the role of moderator of leader and follower exchange, the statistical population of this research is all The employees of the oil company in the central regions, the sample size was obtained using the Cochran formula. The main data collection tool included three questionnaires of knowledge management, flexibility of human resources and leader-follower exchange, which were randomly distributed among the sample size. The validity of the questionnaire was confirmed by the professors and the reliability was confirmed using Cronbach's alpha coefficient. The results of the research showed that the flexibility of human resources an effect on knowledge management on the employees of the oil company in the central regions, and the effect of leader-follower exchange on knowledge management is positive and significant. Statistical analysis based on structural equations showed that the flexibility of human resources with the moderator role of leader-follower exchange an effect on knowledge management.

The main goal of this research is designing an electronic human resource management (E-HRM) model to develop administrative integrity in National Iranian Oil Company. This research based on the purpose, is a developmental-applied research, in terms of approach, it is a survey-exploratory research and in terms of type, it is a qualitative research. Therefore, to identify the components of electronic human resource management integrity-oriented was used theme analysis method. The statistical population of this research was 15 experts who were selected by purposive sampling method (theoretical saturation). Reliability was measured by test-retest reliability and validity through four criteria of credibility, transferability, dependability, and confirmability. The model of electronic human resources management in order to improve the integrity of the administrative system was extracted from 630 primary codes in the form of 7 main themes, 16 sub-themes and 60 concepts through MAXQDA2020 software

Managers always play a vital role in organizations. On the one hand, the role of prominent managers in earning money and organizational success is obvious in many successful organizations today. This research was done with the aim of designing and developing a model of lean leadership competencies. The current research method is descriptive-exploratory based on a qualitative approach. The statistical population of the research is industry experts and university professors (government administration), 15 of them were selected using the purposeful sampling method and the approach of selecting key people and the theoretical criteria. The main tool for collecting research data is a semi-structured interview. The tool of data analysis and interview is theme analysis. The method of data analysis in the qualitative section is using open coding, axial coding and selective coding. The validity of the interview questions was used by the criteria of acceptability and reliability, and the results of Cronbach's alpha coefficient showed that the interview questions have reliability.The findings were categorized in the form of three sets of basic, organizing, and comprehensive themes and organized in the form of a network of themes. Based on the obtained results, the mentioned model consists of 5 inclusive themes and 24 themes.

According to the growing trend of the LNG markets in recent years, Iran can play an important role in the global LNG markets due to its significant reserves of Natural Gas, geopolitics and access to international waters. In this study, first global LNG markets and its future are studied. Then, the effective factors and driving forces on the future of LNG in Iran are determined by various studies. By using the Cross Impact Method (CIM) with the help of MICMAC software, the driving forces are analyzed, and the important driving forces in the future of LNG in Iran are determined. Finally, using ScenarioWizard, scenarios for the future of LNG in Iran are developed.
As a result, this study concludes the future of LNG in Iran, using the "Back to the boom", "An opening to hope", "Ambiguous fate" and "Decline neighborhood" scenarios. Finally, considering the above scenarios, the importance of LNG industry, and Iran's conditions in this area, recommendations will be provided in this regard.

Nowadays, according to environmental issues and international agreements, countries have put the use of energy with less pollution in their agenda. One of the most important clean fossil fuels is natural gas. In recent years in Iran, there has been a shortage of natural gas in the cold months of the year due to the peak gas consumption in these months, especially in the domestic sector. One way to solve this challenge is to store natural gas either actively or passively. In this research, the LNG supply chain has been modeled using the system dynamics method and using Vensim software, and four different scenarios have been considered according to Iran's conditions. For these four scenarios, the modified amount of available natural gas is plotted. Also, according to the possibility of LNG export in the two scenarios mentioned, two modes have been considered for the sale price of natural gas according to long-term contracts (35 cents) and according to the sale of single cargo (70 cents).

This study was conducted with the aim of providing a value creation model of human resources in the National Gas Company of Iran. The research method was mixed (qualitative-quantitative). The target population of the research was the experts who were aware of the research topic, and according to the purposeful selection, 14 people were identified as the research sample. The data collection tools were in-depth interviews and researcher-made questionnaires, qualitative data to identify value-creating indicators of human resources with thematic analysis method based on the Brown and Clark model. Quantitative data was analyzed using Dimetal technique and Maxqda10 and Excel2016 software were used for this purpose. After analyzing the data, 94 primary concepts were categorized into 18 sub-themes and 9 main ones affecting the value creation of human resources. The results showed that the motivation index has the greatest impact on other indices, while the organizational development index has the lowest value, which is strongly influenced by other indices of the model. Also, attitude change index has the most interactions with other indices and is placed in the center of the model. According to the findings, strategic planning and attention to the motivation and communication network of the employees under the support management in Iran National Gas Company is very important in the direction of value creation of human resources and should be taken into the attention of the managers.

The purpose of this research is analyzing the supply shain risk management based on resilience capabilities with TISM approach in Iran's National Oil Products Distribution Company and the gasoline supply chain.
Variables were identified through a multi-grounded theory.Then, the relationships between the dimensions of the structural model was determined through TISM.
The results showed that, inherent risks, socio-political risks and environmental risks are at the top of the model and have a greater impact on other risks. The occurrence of supply, demand and processes - operational risks lead to the emergence of organizational risks. A high level of risk in the organization causes disruptions in the supply chain.Therefore, in order to respond to risks and control them, resilience capabilities have been provided. The dimensions of resilience are affected by risks and react to control them. This issue can help the supply chain achieve its goals.

The development of downstream petrochemical industries is a huge opportunity for the economic growth and development of the country due to its rich resources and potential capabilities. Therefore, in this study, the components of the integration process, including capabilities and capabilities, windows of opportunity (technological, demand, policies/institutions), strategies and paths, as well as the goals of integration in the mentioned industries were comprehensively investigated, which is also considered research innovation. In this regard, the theme analysis approach was used by reviewing the basics of research and soliciting opinions from 15 experts in this field. According to the results, the framework for achieving alignment in the downstream petrochemical industries of Iran has 12 components of capabilities and capabilities, 22 components of windows of opportunity, 11 components of strategies and paths, and finally 15 components of success in alignment, which can stimulate each other; Therefore, the policy makers of downstream petrochemical industries are suggested to take advantage of the framework presented in this research for planning to achieve convergence and take advantage of its benefits.