Petroleum Business Review (PBR)

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.

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.

Currently, the global community is on the threshold of a transition from fossil fuels as a result of transformations such as climate change, entailing the strict implementation of carbon setoff policies and quick progress in green technologies. A transition to clean, low-carbon energies will not only disrupt the global energy system, it will also impact the global economy and political dynamism within and without all states. Based on these transformations, the present article asks the question of how the energy transition will impact the geopolitical future of the global oil economy. The authors hypothesize the following in answer to this question: Given the superior, more advanced position of economic powers such as China and the US in clean energy technologies, we are likely to witness the weakening of traditional oil powers in a post-carbon world, such as the Middle East and North African countries (MENA) and Russia; in contrast, the balance of power will tilt heavily towards current energy consumers. Technology-savvy countries have the knowledge to reproduce and stabilize their power in the global economy. The traditional countries of the energy sector, however, face shortfalls in their infrastructure and modern technologies and will lose their geopolitical position to a large extent.

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.

Today, management requires a new approach in the areas of production planning and operations process with a cost management approach. Organizations and industrial units to lead their lives, by recognizing the impact points of the challenges ahead and positive impact, guide and lead them to advance the goals of the organization. Economic dispatching with particle swarm optimization algorithm approach is an approach in the field of industrial units. Dispatching tries to determine the share of production capacity in a way that optimizes the overall performance of the system economically and improve system performance, including: production and process planning, supply and demand balance, cost management, productivity growth, optimal allocation of resources according to the capacity of tanks, formulation of production and operational strategies, the impact on the strategic vision document. In this research, an attempt has been made to perform economic dispatching with the approach of particle swarm optimization algorithm with hypothetical information to measure the feasibility of implementation and its impact on the overall performance of the system and production process and operations.

This study aimed to develop Oil approaches affected by effective factors for the success of economy-based entrepreneurship in the Oil Industry. In other words, efforts were made to identify and prioritize the factors affecting the development of Oil approaches under the impact of effective factors for the success of economy-based entrepreneurship in the Oil Industry. A review of the previous studies in this field revealed that the factors affecting the development of Oil approaches affected by factors involved in the success of economy-based entrepreneurship in the Oil Industry were institutional, organizational, environmental, economic, technological and opportunity recognition criteria. The present research was applied in terms of goal and survey, cross-sectional regarding data collection method and time frame. The statistical population consisted of experts in the country’s oil industry system. In total, 16 individuals were selected from the central bank managers by purpose sampling. Data were collected using an expert questionnaire, and the fuzzy Delphi method was applied to ensure the validity of the identified indicators. In addition, the reliability of paired comparisons was assessed by calculating the incompatibility rates via the Gogus and Butcher method. In this regard, reliability was acceptable in all cases of less than 0.1. The ranking of key criteria showed that economic factors had of the highest importance, followed by institutional, environmental, organizational, opportunity recognition process, and technological factors.