Analyzing the Impact of Exportsʹʹ Market-Oriented on the Features of International Trade Relations and the Impact of the Features on Exporting Performance

Export is vital tools for countries to meet their goals of economic growth and prosperity (Rasla & et. al., 2007). Unfortunately, much of our countryʹs foreign revenue comes from oil exports. In fact, one of the fundamental goals of economic without oil is exports development. In our country, depending on factors such as having difficult access to and poor quality of information on foreign markets could not have met the desired position in the field of non-oil export. Market-oriented as a view of the integration with the capacity of organizations to anticipate, respond to , and exchange to environmental fluctuations determine export performance. Thus, it would be of highly importance for Iran to specify the probable factors affecting the market-oriented in companies exporting, and yet to investigate the effect rate of the factors on export performance. On the other side, when the companies are in deal, the exporter companies are encouraging to accomplish the market-oriented in exports, and signifying the facilitator agents (Hussein & Doaʹaee, 1389). In the present study, the analysis of the impact of exportersʹ market-oriented on the behavioral aspects of international trade ties including dependence, cooperation, and communication distance as well as their influence on export performance would be in question. In this regard, drug issues are to be crucial. The pharmaceutical industry is nowadays getting the first place among different industries in the globe (Ebadi & Ghavami, 1388), and it owns the seventh rank in Tehran in case of exporting. Data collection is of field study type; the process of performing is of descriptive and correlation-survey, and the goal is of applied type. Based on the industry, mining, and trade organization, there would be 45 exporters in drug industry in the vicinity in Tehran. The questionnaire of the study pertaining to the Rasla and et., alʹs study in 2007. To test the hypothesis and model of the study, data analysis is done by confirmatory factor analysis, correlation, and structural equation modeling (Regression analysis). Yet a statistical model is utilized for analyzing the relationship between vivid and indigenous variables. The software in the study would be SPSS.