درخت حوزه‌های تخصصی

Regarding the contingency theory, the purpose of this research is to identify factors affecting the development of accounting and financial [management] procedures (AFP) for joint operating agreements in Iran’s oil and gas industry. To this end, at first, some partial factors were identified through a deep study of theoretical foundations. Subsequently, in order to identify environmental factors, a semi-structured interview was conducted with accounting and finance experts in oil and gas exploration and production companies whose competences were approved by the Ministry of Petroleum. Using the theoretical framework and the interview results, a questionnaire was set up and distributed in a wider range in order to add potentials and eliminate, modify, and finally rank the raised factors. The results showed that changes in laws and regulations, use of services in Iran’s oil and gas industry, changes in business practices, information technologies, the structure of the principal contract,  and conflicts among operational parties are the most important factors that should be taken into account in the formulation and development of AFP’s for these contracts in Iran’s oil and gas industry, and, in this regard, some suggestions are provided.  

Blockchain technology can bring opportunities, such as reducing transaction business costs and increasing transparency to the oil and gas industry. This model is adopted as a public maturity model in business processes, industry, and IS/IT organizations. This model is classified into five levels of emerging, identified, defined, operational, and mature to identify the applications of this technology toward flourishing and providing the ultimate solution to most of the organization's problems. Therefore, this qualitative research has been designed to identify maturity levels to provide a conceptual model of maturity levels of blockchain technology in grounded theory. First, the initial factors extracted through reviewing the research background; then, by conducting semi-structured interviews with 12 blockchain technology experts, the data were collected. It is noted that the interview was stopped as the duplicated and identical data, based on grounded theory research strategy The meanings and characteristics of the blockchain maturity model challenges presented in three stages of coding. The reliability of the interviews has confirmed by the reliability methods of Test-Retest and intra-subject agreement. The results of data analysis indicate that experts at the emerging level to primary educating and technology monitoring, at the identified level, to recognize the applications of this technology and regulation, at the defined level, to develop a roadmap, proof of concept, and Feasibility, At the operational level, the stakeholder resistance, and at the matured level, the entry new members, the consortium, and increasing attention to maturity requirements, is a spotlight with more frequency than other indicators and elements.