درخت حوزه‌های تخصصی

Though it is generally accepted that information asymmetry has an impact on capital structure policy, the nature of the information asymmetry is not well understood. Recent theoretical works and empirical evidences suggest that financing choice depends upon the information asymmetry about investment risk of the particular use of funds (Halov & Heider, 2012) (Rao, Mohanty, & Baxamusa, 2015). Consistent with this view, we analyzed the data gathered among 199 companies listed in Tehran Stock Exchange during 2009-2016 by The Multiple Linear Regressions in order to test research’s hypotheses have been applied. We also examined the influence of Petrochemical industry on that relationship. The findings show that equity is used to fund projects with greater information asymmetry about their risk such as intangible assets and capital expenditure, while debt is used to fund investments with lower information asymmetry about their risk such as liquidity enhancement. We also found that the membership in petrochemical industry has no effect on the intangible assets and cash holding’s financing method, but concerning with capital expenditure and working capital the impact is significantly negative.

The purpose of the current work, conducted in 2017 and 2018, is to identify andprioritize the qualitative and quantitative factors affecting human resources(HR) valuation at National Iranian Oil Company and its subsidiaries. Using asnowball sampling method, 28 experts were selected from the head of humanresources, the head of finance, and some staff members of National IranianOil Company and its subsidiaries. In order to identify the dimensions andcomponents affecting human resources valuation, a comprehensive literaturereview at international and national levels, interviews with experts, andthree stages of distribution and collection of questionnaires using the FuzzyDelphi method were performed. Then, two phases of the paired comparisonquestionnaire were developed and provided for the experts to explain andevaluate the cause-and-effect relationships between the dimensions andthe components together. The specified components and dimensions wereprioritized using the Fuzzy DEMATEL method. Using the Fuzzy Delphimethod, 15 dimensions and 101 components influencing HR valuation wereidentified at National Iranian Oil Company and its affiliated companies.According to Pareto 20-80, 20 components were identified as the factorsinfluencing human resources valuation at National Iranian Oil Company andits subsidiaries, and using the Fuzzy DEMATEL method, 15 dimensionsand 20 specified components were prioritized. According to the resultsobtained, the most important dimension and component affecting humanresources valuation at National Iranian Oil Company and its subsidiaries arejob satisfaction, motivation, and perseverance in employees’ assignments.

Considering global warming and importance of sustainable growth in economic sub-sectors, this paper presents and estimates an empirical model of renewable energy consumption for the industrial sector of selected OPEC and non-OPEC countries over the period 1990-2014. Panel co-integration estimates by Pedroni (1999,2004) and Westerlund (2005,2006) show that, in the long term, increases in industrial value added per capita, real oil prices, and CO2 per capita are found to be major drivers behind per capita renewable energy consumption for both OPEC and Non-OPEC nations. Panel Granger causality by the Dumitrescu and Hurlin (2012) method confirms that there are bi-directional causality relationship between research variables and therefore verify feedback hypothesis. Finally, FMOLS and DOLS results show that when industrial value added per person increases, per capital renewable energy consumption increases by greater magnitude in non-OPEC than OPEC countries; also an increase in CO2 emissions per person increases per capita renewable energy consumption by greater amount in non-OPEC than OPEC nations.

Since a large number of the oil and gas projects are related to the supply chain, the selection of contractors and suppliers is very important. In projects, a contractor is obliged to supply the goods from suppliers and manufacturers approved by the clients, while most companies in Iran, including the company surveyed in this research, i.e. Iranian Offshore Engineering and Construction Company (IOEC, do not have a scientific approach to this issue). The main objective of this research is providing a scientific and practical approach to ranking suppliers and contractors at IOEC and selecting the best ones. In order to achieve such an objective, an integrated model of Swing and TOPSIS methods with fuzzy approach has been designed and applied to a real case. The actual data used are obtained from the post-lay survey of the exports and infield pipelines of South Pars development phases 13, 14, and 22. <strong>Keywords</strong>: Supplier Selection, multi attribute decision making (MADM), Oil and Gas, IOEC, Swing, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy, Pipelines

Technology Transfer is a process which technology supplier can transfer technology to receiver through it by numerous activities. Now in Iran, lots of companies are facing difficulties in correct implementation of technology transfer. Varying complexity and specific nature of each of the technologies has been caused many problems to technology transfer process design. In the other hand, the lack of integration between the components of the technology transfer process and the lack of consistency in the way of transferring with the company's strategies has been caused additional difficulties. In this paper, we have attempted to design the model of technology transfer process in the Oil, Gas and Petrochemical industry which includes three stages of " decision making, technology transfer and acquisition the knowledge".The model is derived from the literature survey and is developed based on the experiences with adding necessary elements in order to resolve the problems. In order to validate the model, it is used for DMD technology transfer in RIPI.

Due to the importance of technology and innovation in the oil industry, it is necessary to look more closely at the intellectual property of this industry. Intellectual capital is a concept that can classify and report the technology capabilities and knowledge spillover in a comparative format. The present research is aimed at providing an appropriate framework for reporting intellectual capital in oil industry companies. For this research, semi-structured interviews have been done with 15 experts and people from petrochemical and petroleum companies with intellectual and experiential thinking space. After the interview, the relevant texts were analyzed by the thematic analysis method. Finally, the intellectual capital reporting framework was extracted as a qualitative research product. Then, a questionnaire was designed to assess the acceptance of the qualitative model, which was distributed among the statistical community consisting of professors and PhD students and experts of different universities and companies. The results of the distributed questionnaire showed that the components of the framework were approved by the respondents.