Petroleum Business Review

Abstract 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 method 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 a mixed approach of 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 three 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. 

Abstract One of the variables affecting the behavior of enterprises is the exchange rate. Uncertainty about the amount of exchange rate volatillity for each firm is considered as a risk. The aim of this study is to explain a model to investigate the effect of exchange rate shocks on the financial sustainability of export-oriented companies. In this regard, the data on exchange rate, tax, oil revenue and export variables on financial sustainability was collected for 19 groups of companies from 2008 to 2019. To achieve the research goal, the Panel Vector Autoregressive Model (PANEL VAR) using the generalized method of moments (GMM) was used to analyzed the data. Then the results were interpreted using the Impulse Response Function and variance decomposition. The results of the IRF show that the effect of exchange rate volatility on the financial sustainability variable is initially negative, but has a positive effect over time and is neutralized after several periods. The same goes for an impulse equal to a standard deviation in tax. Also, the oil revenues and exports impulse have negative and positive effects on financial sustainability, respectively. According to the results of variance decomposition, it can be said that the effect of exchange rate on financial sustainability is greater than the effect of sustainability on exchange rate, because the exchange rate shocks have more explanatory power for sustainability fluctuations.

Abstract South Pars gas field is the largest gas field in the world and is shared between Iran and Qatar.One of the most important projects in this field is the development of Phases 17 and 18. This mega project is one of the most important projects implemented in the South Pars gas field.This paper examines the impact of domestic inflation on the costs of implementing these phases over a period of ten years(2003-2013) .The main purpose of this study is to calculate and compare the costs of implementing this project under non-inflationary conditions.For this purpose, the main and standard activities of this phases is selected and its costs calculated and then neutralize inflation indicators for the desired time period to be compared between inflation and non-inflationary states.Wilcoxon test used to compare two dependent groups.Based on statistical analysis,assuming the absence of other factors,the expenditures of selected activities in phases 17and 18 of South Pars in the inflationary state were significantly higher than the non-inflationary state
Keywords:South Pars Gas Field, Domestic Inflation

Abstract Forensic accounting, as a process of legal inspection of corporate accounting practices, has become an important strategy to prevent fraud and financial misconduct, creating information transparency for investors to make financial decisions. Among the capital market companies, oil companies can strengthen the forensic accounting paradigm to provide documentation and transparency of decision-making to prevent market distrust caused by investor risks and contribute to the sustainable development of its presence in advancing competitive strategies. This study aims to develop an effective forensic accounting paradigm based on the risks of investors in oil companies. In this study, the components (dimensions of forensic accounting) and research propositions (investor risk themes) were used to from a combined analysis with 15 accounting experts at the university level. In the quantitative part, the components and propositions identified in the form of matrix questionnaires were evaluated by the interpretive ranking process (IRP) by 20 financial managers of oil companies in the capital market. The results showed that the statements of inflation and credit risk as the most influential themes threaten investors in oil companies, strengthening the focus on legal mechanisms as a component of the forensic accounting paradigm. This result shows that, in the presence of inflationary and credit risks for oil companies’ investors, the importance of legal mechanisms in judicial accounting can lead to increased information transparency to protect the interests of oil companies’ investors

Abstract In a complex and ever-changing environment, competitive values play a crucial role in shaping the supply chain strategies of companies operating in an industry, such as the petrochemical industry. The greater the integration of a company’s competitive values against other competitors, the more influential the supply chain flexibility is due to a better understanding of market drivers. The purpose of this study is to evaluate the rough analysis process to select the most effective functions of supply chain flexibility based on the propositions of the integration of competitive values in the petrochemical industry. The methodology of this research is hybrid, and the Delphi and Rough collection were used to perform meta-synthesis analysis. The target population in the qualitative sector was similar research and academic experts in industrial management. However, the target population was a small number of 23 managers with experience in petrochemical companies, which is acceptable from the statistical population due to the need to analyze the Rough process. In this study, based on the combined analysis of selected researches, five propositions of competitive value integration and five components of supply chain flexibility were determined, which entered the Rough collection analysis phase according to the confirmation of theoretical adequacy based on the Delphi analysis. The results in this section identify the most compelling propositions for integrating the competitive values of companies operating in the petrochemical industry: demand-based management propositions (P2), creating innovative values (P3), and reducing operating time (P5), which affects the flexibility of the supply chain and causes the flexibility of financing as the most effective component of the flexibility functions in the supply chain in the petrochemical industry.

Abstract One of the innovations that has been formed in the insurance industry in recent years is transfer the risk to the capital markets. Today, this possibility is provided by issuing insurance bonds and Catastrophe bonds, which are a most important type of insurance-linked securities (ILS), can redress inefficiency in the insurance industry.
Today, more and more Catastrophe (CAT) bonds are being issued worldwide, which is welcomed by investors and insurance companies. On the other hand, traditional insurance solutions to cover the risks of Iran's oil and gas industry is not efficient and sufficient and using CAT bonds to transfer risks of this industry to capital markets is a necessary and inevitable issue.
The aim of this research is to identify effective factors for issuing Catastrophe bonds in Iran's oil and gas industry. On this basis and after reviewing the literature through library studies, 33 factors were identified in the form of seven categories, based on the similarities. Then, based on Delphi method, experts were asked to express their opinions through an iterative questionnaire. After take the experts' opinions in every round, the statistics analysis was performed and the Delphi process was stopped in the third round. Based on the results, the number of 32 factors in six categories with the titles Legislation and Amendment of the Rules, Knowledge Management, Process Management, Transparency, Creation and Strengthening of Software Platforms and Cultivation were approved by experts and identified as effective factors for issuance of Cat bonds in Iran's oil and gas industry.

Abstract This study uses spatial econometric and dynamic analyses to examine the temporal and spatial effects on three performance indicators of petrochemical companies active in the Tehran Stock Exchange: price performance, retained earnings, and total performance. The target population comprises all petrochemical companies listed on the Tehran Stock Exchange that have been active since the beginning of 2013 to the end of 2024. The findings suggest that, while information asymmetry positively influences companies' retained earnings, it simultaneously has a negative impact on price and total performance. Additionally, an examination of the H-index revealed that the market structure of this industry is monopolistic. However, monopolistic behavior is observed in the distribution of retained earnings, which can be attributed to the centralized structure governing the management of the Iranian petrochemical industry. Findings concerning financial structure suggest that elevated financial leverage and financing costs negatively impact returns, while investment in physical assets has the most favorable impact. Furthermore, identifying significant spatial effects corroborates the idea that proximity and spillover effects between companies are substantial. This study provides substantial empirical evidence that enhancing information transparency, optimizing financial structures, and reforming corporate governance mechanisms could increase market returns and improve stock returns in the petrochemical industry.

Abstract Technological orientation is one of the competitive functions in the capital market, which can be considered as a basis for evaluating the advantages of companies in achieving strategic goals. The purpose of this study is to investigate the effect of geographical location on the technology capabilities. In this study, resource based view (RBV) has been used to develop the research hypothesis. In this study, first, using data envelopment analysis (DEA) method to measure the technology capacities of companies then, considering that the dependent variable of the research was measured as 0 and 1, based on logistic regression, the research hypothesis was tested. The result of testing the research hypothesis was that the level of significance of the coefficient of variable geographical distance (DIS) has a negative and significant effect on the technical efficiency vector (TEV). This result, based on the test of the theory of resource reliance theory, indicates the fact that the existence of a geographical distance from the center can affect companies' access to competitive resources, and in this situation, reduce the capabilities of their core technology compared to competitors. This study is one of the few studies that examines the effect of technology capability on the geographical distance of petrochemical companies and its results can help strengthen the strategic decisions of companies. Therefore, based on this, this study can be considered innovative because it helps to develop theoretical literature and strategic decision-making implications.

Abstract Supply Chain Sustainability is a new and highly influential debate that has drawn the attention of researchers in the field of supply chain management. This concept is particularly important in the oil and gas industry because of its nature and the risks and sustainability risks associated with this industry, especially environmental hazards. The purpose of this study was to evaluate the risks related to supply chain sustainability in the oil and gas industry based on the FMEA method. The statistical population of this study consisted of all experts familiar with the concept of sustainability in the oil and gas industry, out of which 10 experts were selected and surveyed through snowball sampling. The results showed that among the risks posed in the field of supply chain sustainability in the oil and gas industry, risks such as failure and pollution in surface (hydrological) and groundwater (hydrogeological) systems and flows, energy price fluctuations and sanctions as well as the emission of hazardous and greenhouse gases, the reduction of air quality and climate change were prioritized over other risks, as well as sustainability commitment (organizational culture, top management leadership and transparency), management readiness (risk management, cross-functional teams and performance management) and external factors (political stability, economic stability, stakeholder pressure, energy transition policies, and laws and regulations) can all play an important role in managing the risks associated with this industry.

Abstract One of the main approaches in capacity building and strengthening organizational abilities to integrate activities along the supply chains is the integration, creation, and reconfiguration of internal and external capabilities of components based on the theory of dynamic capabilities. The main assumptions of this theory are based on the purposeful strengthening and promotion of organizational capacities to improve the executive capability of human resources. The objective of this study is to provide a model for promoting dynamic capabilities for international markets of Iran's oil and gas industry. The statistical population includes managers and experts in the field of oil and gas working in the affiliated organizations in Iran. Data were collected using a researcher-made questionnaire whose validity was verified by the content method and its reliability was examined and verified by test-retest method with Spearman correlation coefficient of 0.877 and internal consistency was verified using Cronbach's alpha coefficient. Based on the findings, the dynamic capabilities model was formed on 24 primary factors that were classified into 7 main components. In addition, these components were further classified into four main categories based on the competence-emergency matrix. According to the results, "Strategic conducting of capital resources" accounted for 19.78% of explanatory power and was the most important factor in promoting dynamic capabilities. The findings of the present study can be useful for decision-makers to promote competitiveness in terms of dynamic capabilities in Iran's oil and gas industry.

Abstract In this paper, the competitive market of crude oil exports of Iran and the world is modeled using game theory. In the present research, we have focused on OPEC's internal competition within the game theory framework to analyze the economic conflicts between OPEC members in detail. In the conditions where each of the producers has their own goals and limitations, the amount of access to the desired goals for each producer depends not only on the decisions they make, but also is affected by the prevailing atmosphere in the oil market, including the strategy of other competitors, sanctions, and different situations of economic growth and oil sale price level. In recent years, Western countries, especially the United States, have imposed extensive sanctions against Iran, mainly targeting. In this regard, three players of Iran, Saudi Arabia, and the United States of America (USA) were defined and a model for the game between them was presented. Then the presented model was solved as a cooperative game and the equilibrium point was obtained for it. The results obtained showed that the three main players have the conditions for cooperation by choosing the options of "reducing pressure and fewer sanctions", "reducing pressure and cooperation", and "cooperation", and Iran can only improve its conditions by competing with Saudi Arabia in OPEC.

Abstract This article examines the relationship between crude oil trade, economic growth, and the real exchange rate in Iran from 1979 to 2023, utilizing the Autoregressive Distributed Lag (ARDL) approach. The findings indicate that crude oil exports have a negative and statistically significant influence on the real exchange rate. Conversely, crude oil imports have a positive and significant effect on the real exchange rate. Additionally, the budget deficit from the previous period has positively impacted the real exchange rate. Gross Domestic Product (GDP) has also demonstrated a significant positive effect on the real exchange rate. In contrast, the monetary base has shown a significant negative effect on the real exchange rate. Long-term analyses reveal that oil export variables negatively affect the real exchange rate, while crude oil imports contribute positively. Over the long term, GDP maintains a significant positive effect on the real exchange rate, whereas the budget deficit and monetary base variables do not significantly influence the real exchange rate. Short-term dynamics suggest that the real exchange rate from the previous period positively and significantly affects the current real exchange rate. Moreover, the budget deficit variable in the current period negatively and significantly impacts the real exchange rate. The monetary base also has a significant negative effect on the real exchange rate; Central Bank assets have been utilized as a proxy for the monetary base. Key Words: Oil exports, oil imports, real exchange rate, ARDL approach.

Abstract This study was conducted with the aim of evaluating the energy supply chain in the petrochemi-cal industry with the approach of Malmquist cost efficiency index and fuzzy VIKOR, taking into account the importance coefficient of input variables. After reviewing the literature, first the inputs and outputs of the energy supply chain were identified. Then, the influential variables in the petrochemical industry in the energy supply chain were identified and prioritized with the fuzzy VIKOR approach. Then the weight of the input variables was calculated with the geomet-ric mean and the input variables were entered into the mathematical model based on their weight. Based on input type, a mathematical model was written to estimate input costs to ensure output and supply chain efficiency in two consecutive years. Then the Malmquist cost index was estimated based on the model outputs. The petrochemical company with the highest Malmquist total cost index and the lowest output cost was selected as the optimal solution of the model. The value of the objective function indicates the input costs. Our inputs include two variables, the number of employees, the value of materials used in fuel reproduction. Petro-chemicals 9, 7, 12, 10, 6, 5, 3, 4, 13, 11, 2, 8, 1 and 14 respectively have the lowest input costs, but it is necessarily due to efficiency that petrochemicals and the efficiency of petrochemicals is checked. The cost return is calculated from the relevant formula in the years 2021 and 2022.

Abstract Iran's gas industry plays a strategic role in supplying and distributing natural gas energy to society. The project-based, operational, and service-oriented nature of this industry, combined with its large workforce, underscores the necessity to address the risks confronting its human resource management system. This study was conducted to identify and analyse these human resource management risks. This study employed a mixed-methods approach. In the qualitative phase, the researcher's lived experience was utilized to identify and categorize 35 human resource management risk factors in Iran's gas industry. For the quantitative phase, a risk management framework was applied to evaluate each identified factor based on two key dimensions: risk probability and risk impact. The assessment results were subsequently visualized through a heat map. The study results demonstrated that none of the indicators fell within the low-risk zone, with 15 indicators classified as medium-risk and 20 as high-risk, while two critical indicators - imposition of salary and benefit restrictions with a risk rating of 9 and dependence on political affiliations for filling key positions with a risk rating of 8 - were identified as the most substantial challenges facing the human resource management system in Iran's gas industry.

Abstract The exchange rate in Iran’s economy, is one of the most critical indicators influencing fiscal, trade, and monetary policymaking. Given that a substantial portion of the country’s foreign exchange earnings is dependent on crude oil exports, any fluctuations in oil revenues can directly or indirectly affect the exchange rate. This relationship becomes especially significant under circumstances such as international sanctions, global oil price volatility, and the structural dependency of the government budget on oil revenues. Consequently, a precise understanding of the mechanisms by which oil income influences the exchange rate is essential for designing sustainable currency policies and ensuring the country’s macroeconomic stability. The present study investigates the long-term relationship between oil revenues and the exchange rate in Iran during the years 2002 to 2024, utilizing the Fully Modified Ordinary Least Squares (FMOLS) econometric method. Through the analysis of quarterly time series data and unit root tests, the stationarity and then cointegration of the variables were examined. The test results indicate that the variables are integrated of order one, and a cointegration relationship exists among them, justifying the estimation of the model using FMOLS.The findings reveal that, according to the model estimates, oil revenues and non-oil exports exert a significant negative effect on the exchange rate. Specifically, a one-percent increase in oil revenues leads to a 0.41 percent decrease in the exchange rate (signifying an appreciation of the Rial), while an increase in non-oil exports results in a 0.72 percent decrease in the exchange rate.

Abstract The world is presently witnessing a shift in approach to organizational jobs and structures towards temporary and flat structures. Accordingly, people’s careers and how they are managed are changing in organizations. Understanding career anchors as a way to discover self-image and external feedback of behavior can be effective in personal and organizational decisions. This research is an attempt to understand career anchors among the employees of National Iranian Oil Company, which is one of the most important economic organizations in Iran, using a mixed-methods approach. In the qualitative phase, 30 interviews were subjected to content analysis, which resulted in identifying 14 categories. The four categories of career stability, halal income, God satisfaction, and dedication were not observed in the research literature. The reliability of the qualitative data was estimated at 0.853 by William Scott’s method. In the quantitative phase, a questionnaire, which was based on the standard CIO2 questionnaire of Schein (1990) and some self-designed questions for the newly identified anchors, was used for data collection from a sample of 200 people. The questionnaire’s reliability was estimated by Cronbach’s alpha. It was observed that career stability and halal income were the top-ranked career anchors of the studied employees.

Abstract In the 2000s, some projects were defined to export Liquefied Natural Gas (LNG) in order to increase Iran’s presence in gas export markets.
However, despite the initial planning until 2020, when this research was conducted, none led to a result, and Iran could not play a role in this market. Delay in executing these plans will lead to losing the opportunity to use the joint South Pars field and billions of dollars of foreign exchange earnings. The purpose of this study, which was conducted 2019 to 2020, is to identify the factors leading to the failure of Iran’s LNG projects. In order to identify and prioritize these factors, the opinion of experts and the Fuzzy Delphi technique is employed.
Investigating the condition at the national and international level indicates that some factors have prevented all of these projects from being successful, including political issues, international sanctions on Iran, lack of domestic capital, lack of appropriate foundation for attracting foreign investors, constraints of domestic rules and regulations, especially in the upstream sector for choosing the contract format, not having access to the liquefaction technology, and the issues pertinent to marketing, and the most important one, lack of suitable commercial structural design. Identifying these factors and planning for tackling them is the key to escaping this current situation and a guide for prospering in future projects of the country.

Abstract Oil and gas industry play a crucial role in the developed and developing countries’ financial and economic development. Resource rich countries are extremely dependent on oil companies for the extraction of petroleum resources. Governments decide which company has the right to extract the petroleum. However,

according to the principle of permanent sovereignty over the natural resources, awarding the right to petroleum resources shall be exercised in the exclusive right of the people. Safeguarding the people’ right, governments are required to design both regulatory institutions and governance for develop, enforce and review of awarding regulations. For this reason, the present article analyzes the regulatory authority of petroleum right awarding in Iran. By reviewing the existing laws and regulations we conclude that the current status is chaotic and intricate due to the multiplicity in awarding regulators and inadequate governance. It is recommended to establish an awarding regulator based on the principles of regulatory excellence.

Abstract To be in line with the new environmental paradigms, the present study aims to design an Eco-friendly marketing pattern in Iran’s oil industry. The methodology is a sequential exploratory one. In the qualitative section, grounded theory is used. The creative data were gathered through a theoretical sampling of in-depth, semi-structured interviews of 15 experts from the oil industry. The initial model of the research was achieved with 19 (major) factors which were divided into 6 aspects according to the experts’ views: causal circumstances, the major factor, background circumstances, interventions, strategies and consequences. Next, in the quantitative section, the validity of the research was investigated through a surveying method and the questionnaire tool. The statistical population includes a limited number of managers and experts from the oil industry in research and planning fields, counting up to 170 people from whom 118 were selected through random sampling. After evaluating the reliability of the questionnaire, the questions themselves were validated and their number was narrowed down. Carrying out an explanatory factor analysis, the components were reduced to 14 and the dimensions to 5. The relationship between the dimensions was assessed through the correlation test and then the final pattern was designed. Eventually, the theory of the study was developed under the supervision of experts. The significant results of this study were finding the interventions, including productivity, governmental support, social institutions, and sustainable development along with the strategies, including reviewing the energy section structure, improving the managers’ perspectives and developing the green investments.

Abstract This research aims to select 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, the 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 developing infrastructure for the oil industry X5 is the most crucial risk statement and uncertainty in the field. Political and legal risks 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”, the existence of sanctions of the world powers “X1” strategic capabilities of sustainable economic development is the most crucial feature that should be considered in the country’s inflationary conditions

Abstract Special attention to the relative advantages of the economy is the best way toward economic development of the country. The chemical sector, due to the country's advantage, owing to its considerable natural oil and gas resources, high variety of products, technology and market, has a significant charm and scope for technological innovation and development. Nowadays, the country's political and economic status has created opportunities for chemicals, but Existing policies have merely increased scientific research articles and in practice it has not cause to technological innovation (Patent).
The first step in the policies for this sector, understanding the factors that influence firms to technology innovation. Therefore, the purpose of this study is to analyze of factors affecting the management of technological innovation in the chemical industry to provide solutions. In this paper, the factors, were investigated by using verification factor analysis and structural equations. Then, the relative importance of each factor was determined based on the Fuzzy BWM method. The results of the present study indicated that, R&D ability, R&D efforts, Sustainable Profitability With the most votes and low-risk chemical synthesis, less chemical waste science and technology diplomacy were ranked last.

Abstract Nowadays, supply chains are highly vulnerable and prone to various risks due to geographical expansion and the complexity of communication networks. Sustainability in supply chains is increasingly seen as part of supply chain management. Sustainability has become a necessity, and every supply chain needs sustainability. However, the supply chain has a breadth and complexity of indicators. This paper aims to provide a model for evaluating the impact of the sustainable supply chain on organizational performance and efficiency in the National Iranian South Petroleum Company (NISOC). This study consists of two quantitative studies and a qualitative stage by designing several questions and using a mixed research method. The qualitative stage uses grounded theory methods following a systematic review of the literature on sustainable supply chain management and its adaptation to the local needs of the sustainable supply chain in one of the country’s largest oil companies. The statistical population of the research includes all employees of the NISOC with an unlimited number, of which 384 subjects are randomly selected as samples. In this study, a questionnaire is used as the data collection tool. The questionnaire designed in this research is based on a 5-point Likert scale. Options range from strongly agree to disagree strongly. The research hypotheses are tested using SmartPLS software. According to the results, the organizational performance and efficiency in the NISOC are affected by the green supply chain, industry supply chain, macro policies, socioeconomic factors, organizational factors, political factors, technology, manufactured products, customers, and supply chain failures. As shown in this study, using sustainable approaches to the supply chain of the petroleum company improves the situation of this organization and increases its effectiveness and efficiency. Further, the performance of individual components of organizations increases due to the sustainability model in this company

Abstract Nowadays, knowledge and information is the largest asset of organizations and human beings and having it can lead to a powerful and certainly valuable organization. The purpose of this study is to identify the suitable knowledge acquisition and transfer tools in the National Iranian Oil Company (NIOC). This study is applied in terms of purpose and case study from the point of view of strategy. Given the economic conditions of the NIOC as well as the need for maximum use of the knowledge, experience and skills, it is essential to identify the more effective ways of transferring knowledge, especially to the new entrances. Using the mixed method, in the qualitative section identified the tools of knowledge acquisition and transfer by studying leading oil companies in the world in knowledge management and using the expert panel, the appropriate tools for NIOC were determined. In the quantitative part of the research using questionnaire tools and group analytical hierarchical Process (AHP) method, knowledge acquisition and transfer tools were prioritized. Findings demonstrate that the NIOC can be effective in organizing the available knowledge by focusing on community of practice, peer assist, community of learning and lessons learned.

Abstract In this study, which was synthetic and inductive-deductive in terms of data collection method, 12 marketing management specialists at the university level participated as panel members in the quality department. In fact, in the qualitative part, which used meta-synthesis and Delphi analysis, the aim was to identify the contents of e-marketing statements in advancing the marketing goals of oil companies. In a small part with the participation of 16 managers and deputies of Sepahan Isfahan Oil Company, the identified propositions in the form of a comprehensive structural interpretive analysis based on the priority of effectiveness. Therefore, relying on meta-analysis, first 26 studies were reviewed as a basis for evaluation to determine the content of e-marketing propositions in advancing the marketing goals of oil companies in the form of critical evaluation. According to which, 21 themes of selected propositions were entered into Delphi analysis in a checklist manner to determine the theoretical adequacy. At this stage, 7 propositions were removed during the two stages of Delphi analysis and a total of 16 propositions were included in the quantitative analysis section, ie comprehensive structural interpretive analysis. In this section, the results showed that the content of the propositions of creating an intelligent marketing system to recognize changes in the oil industry at the ninth level was determined as the most effective e-marketing factor in advancing the marketing goals of Sepahan Isfahan Oil Company.

Abstract Knowledge and technology can be used to gain business benefits in organizations. In this regard, in addition to using technology in the production of products, technology commercialization to transfer technology to other organizations is considered a practical approach to gaining business benefits. Accordingly, this study aims to identify and prioritize commercialization components in Iran’s gas and oil industry to transfer technology to other industries and organizations since there is high potential to commercialize and transfer technology in this industry. After reviewing the previous literature and interviewing experts using semi-structured questions and the snowball sampling method, 46 attributes are detected and classified as 10 main components. Then, the confirmatory factor analysis method in SMART PLS software confirms the 44 attributes in 10 components. Shannon’s entropy and WASPAS methods are used to weigh and prioritize the extracted components. As a result of this research, the three main priorities of importance in the components of commercialization are identified: the “enterprise capabilities of technology transfer”, “technological capabilities and resources”, and “independent technology commercialization strategies in the oil and gas industry