درخت حوزه‌های تخصصی

Organizations enter international competitive markets because of different motivations such as: gaining international fame, long-term growth, increasing profitability, taking advantages of economies of scale, maturing domestic market, the intensity of competition in a domestic market, governmental rules and regulations; but actually, all of the companies aim to export performance improvement. According to the oil industry situation in Iran's vision, the 4th paragraph of general energy policies and, not having a comprehensive model of Iranian oil products export performance, this research could improve and develop this industry in international markets. This research method is phenomenology and statistical society includes export and marketing managers and experts in the oil industry. Non-probable sampling and snowball sampling method was used in this research. Regarding this qualitative research, semi-structured depth interview was used to gather information and 7 deep interviews were done regarding saturated rule. Structure, internal, interpretive and descriptive validity were used in order to Validation; for surveying reliability, revision while coding and surveying by another informed person were used to insure correct coding. After open, axial and selective coding and using Atlas.ti qualitative software, suggested antecedents of Iranian oil products export performance includes: market orientation, company resources, marketing mix, macro environment and items of Iranian oil products export performance includes: financial performance, customer satisfaction and customer retention. Most of the previous studies have focused on positivism and quantitative research methodology while we used the qualitative method in this research.

Iran, as the fifth country in the field of crude oil production and the second largest gas producer in the world, is apt to the growth and development of the petrochemical industry, as the largest exporter of non-oil products, has a significant role in economic prosperity. In this respect, considering the sanctions of recent years on the export of crude oil and the situations of selling crude oil, it is important to pay attention to this industry as an effective factor in circumventing the sanctions as well as currency appreciation. In this study, the factors affecting the supply of urea exports to the export destinations of the UAE, Turkey, China and India in the period 2001-2009 are examined and analyzed. According to the studies, the factors that have affected the supply of Iranian urea exports can be referred to as GDP of target countries, real exchange rate, exchange rate fluctuations, trade liberalization, price exchange relationship, refinery raw materials prices and sanctions as livestock variables. . In this study, the real exchange rate volatility index was estimated using the GARCH model and then the supply model of Iranian urea exports was estimated by ARDL pattern. According to studies, the variables of GDP and trade liberalization have a significant positive effect on the supply of Iran exports in the short and long term, but other variables have a significant negative effect on the supply of Iran exports in the short and long term.

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.