Petroleum Business Review (PBR)

Today, Research and Development (R&D) activities in petroleum incubators are of vital importance and it is necessary to investigate different ways of commercializing the patents of these activities. The formulation of petroleum incubator strategy and coordinating it with technology strategy and corporate strategy can reduce the technology development and commercialization time period and creates comparative advantages. In this paper we develop an itemized model to draw a bead on the activities of petroleum incubators in a patent portfolio framework and to improve the efficiency and effectiveness of petroleum incubators. The model includes several categorized items that can be taken into account stage by stage. If this model is deployed in steady stages, the petroleum incubator can ensure that every new created idea will commercialize undoubtedly. Moreover, a considerable characteristic of the proposed model is the existence of programs for the patents application in prevailing and new created markets and also commercializing the patents of R&D activities to prevent the accumulation of unused knowledge in petroleum incubators. At the end of the paper, some suggestions to employ the model in real-life situations are recommended.

Project portfolio management is a comprehensive framework for decision making and selecting the portfolio of projects to achieve the goals of the organization by considering resource constraints. The importance of this issue in Iran's oil and gas industry is even more remarkable than ever due to its unique position in the country's economy, capital-intensive and capital budget constraints that have been intensified in recent years. Identifying and defining different scenarios for each oil and gas field, determining the parameters of the mathematical model, the required data to calculate the parameters of the model and the process and methods of identifying this data, indicate the distinction and necessity of this research. This study is an applied research in terms of objective, using mathematical modeling approach, has provided a pattern to determine the optimal portfolio of capital plans of oil and gas companies. The research method is case study which has studied one of the most important oil and gas producing companies in the country and the only offshore company. In this study, a framework for selecting the optimal portfolio of capital projects is determined and after gathering required data, the zero-one integer linear mathematical programming model with the objective function of maximizing the net present value from fields (as the strategic goal of company) by considering investment constraints was designed and solved by GAMS software. Finally, according to the defined constraint, the best investment mode for each field was identified and the optimal portfolio was defined.

Considering the limited resources available, firms must rank their most distinctive capabilities in order to succeed in entering international markets. This research aimed at prioritizing transnational capabilities including marketing, managerial, human resources, production, financial, logistics, research and development, quality and standards and consultation and interaction with the government affecting on the entry of the Iranian steel pipe manufacturers producing gas and oil transit steel pipes into international markets. The study population consisted of experts and procurement, business and marketing managers of the 8 biggest oil and gas steel pipe manufacturers working in Iran. Two pair-wise comparison questionnaires employed to collect the required data. Fuzzy Decision Making Trial & Error Laboratory (FDEMATEL) and Fuzzy Analytic Network Process (FANP) techniques used to analyze the data. The results revealed that the marketing (Net Weight=0.225) and human resources (Net Weight =0.035) capabilities attained the highest and lowest priorities, respectively. The paper is sharing the value creation by presenting a potential process including systematic techniques for ranking transnational capabilities to enter the international markets considering the competitive environment.

The purpose of this research is Effectiveness of the Green Tax Sustainability Consequences based on Themes of Pluralistic Decision in Petrochemical Firms. The methodology of this research is a mix methodology and it has been used by Meta-synthesis, Delphi and Rough Theory. The target population was the qualitative, similar research and academic experts in the field of accounting. But the target population in a quantitative part was 22 managers of petrochemical firms, which is acceptable from the statistical population due to the requirement of rough theory analysis. In this study, based on the meta-synthesis analysis of the selected researches, 6 pluralistic/pluralistic decision propositions and 4 consequential components of green tax sustainability were determined, which entered the Ruff collection analysis phase due to the confirmation of theoretical adequacy based on Delphi analysis. The results in this section identify the most influential pluralistic/pluralistic decision-making proposition, the three propositions of social responsibility in decision-making; it was the reduction of conflict of interest in decision-making and the legitimacy of decision-making that affects green tax sustainability and reduces emissions as the most effective component of green tax sustainability consequence.

It has always been a challenging question for financial analysts, investors and activists in the capital market that what factors affect stock price of companies. Furthermore, how such factors cause stock price fluctuations over time in the capital markets. Therefore, the aim of this research is to determine the effects of key contingent variables such as changes on equity, credit rating and assets price growth on stock prices volatility of petroleum companies listed on Tehran Stock Exchange (TSE). Financial data for the purpose of this study were collected from a sample of 91 companies during a period of eight years from 1392 till 1399 and research hypotheses were tested using the multivariate regression models and ordering panel data with fixed effects tests. Results showed a significant negative relationship between credit rating and stock price volatility. But, there was no significant correlation between changes on equity and stock price volatility. Also, there was not a significant relationship between assets price growth and stock price volatility.

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.