Document Type : Original Article
Authors
1 Associate Professor, Department of Energy Economics and Management, Tehran Faculty of Petroleum, Petroleum University of Technology, Tehran, Iran.
2 Ph. D in Business Management and Insurance Expert at Pars Oil and Gas Company (POGC), Tehran, Iran.
Abstract
INTRODUCTION
Iran ranks second in the world in terms of natural gas reserves and fourth in terms of crude oil reserves. In the field of industry, there are four groups of insurance policies, which include exploitation insurances (all physical assets in operation at the level of the oil industry, especially the four main companies and their subsidiaries), the insurance of development projects, the insurance of hydrocarbon cargoes and freight insurances. on the other hand, the general fields of the insurance industry include property, engineering and energy insurance and liability insurance (medical, accident and life insurance). The purpose of this research is to provide a model of risk management and energy insurance in the upstream sector of Iran's oil industry.
Theoretical framework
Usually, it is only at the level of the board of directors that with a holistic view, the risk management of the oil industry can be properly considered so that different risks in. Different parts of business are mixed and prioritized and connected to each other. Only the board of directors has the authority to ensure that the risk management, despite other environmental pressures, has paid enough attention to the business. In another definition, strategic risk management in the organization is a decision-making tool that improves safety performance. From a systemic point of view, strategic risk management is carried out in two stages: risk identification and assessment and risk control. All risk management approaches fall into one or more of the following main classes: risk transfer, risk avoidance, risk reduction (or mitigation), risk acceptance (or maintenance) (Ale, 2019).
Research strategy
The strategy of this research was in the design part of the data theory model of the foundation and in the field of quantitative measurement, which despite the in-depth study of the theoretical foundations of risk management and insurance in the field of design, a practical and improved model was presented by using the research method. The orientation of the research is developmental and the philosophy of the research is interpretive, and the research approach is inductive. The purpose of the research is to explain the model of risk management and insurance in the upstream sector of the oil industry and it is explanatory research. The research is a single cross-section from 1399 to 1400 and the data collection method is semi-structured interview. The statistical community in the qualitative research stage included academic experts and experts appropriate to the research topic, as well as experts and managers in the field of oil, gas and petrochemicals. The discussion continued and finally 32 people were interviewed. In the quantitative research stage, the statistical population included all the managers and specialists of the main and subsidiary companies in the financial and operational sectors of the oil industry in the state-owned oil and gas development and production companies, as well as the management of the sale of oil shipments, which were from 467 oil and gas experts 285 were selected by available sampling method (managers should be at the upstream and operational levels of the oil industry) and targeted (managers should have at least 10 years of operational work experience in the operational areas of the oil industry in four main companies). And the same number of questionnaires were distributed, and after collecting the questionnaires, 221 people participated in the research. In order to explain the research model, Strauss and Corbin's paradigm model has been used in the foundation's data strategy in the next step to determine the relationships between the variables of the model using the correlation research method. SPSS22 and Smart PLS software were used for quantitative analysis of research data and model fitting.
Analysis of the findings
In order to achieve the goal of the research, first by reviewing the speech evidence of the research and identifying the concepts, we proceed to the open coding process, then the components of the central coding paradigm including the causal conditions, the main phenomenon, strategies, context, intervening conditions and consequences to They are separated and presented based on their sub-categories and finally linked according to selective coding.
Conclusion and suggestions
The results show that in order to identify the strategic, operational and project risks of the oil and gas industry, it is necessary to first pay sufficient attention to the causal conditions resulting from them. After examining the causal conditions, it is necessary for risk managers to gain an effective and accurate understanding of the issues related to the uncertainty of the oil and gas industry through discussion and attention to the variables of identifying and measuring risks, so that based on this structure and in the heart of paying attention to Contextual and intervening variables bring results that are based on effective management of uncertain areas and shaping the insurance industry.
Keywords
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