Identifying and Prioritizing Factors Affecting the Development of Transportation, Customs and Transit Cooperation between Iran and Other Countries

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Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:

  The purpose of this research is to identify and prioritize factors affecting the development of Iran's transportation, customs and transit cooperation with other countries. This research is a mixed research method. The qualitative part of the research includes interviews with experts, so the intended statistical population was formed by experts familiar with the subject of the research. At first, the results of the qualitative part of the interview were coded with the data method of Foundation, Strauss and Corbin, and then the factors affecting the development of Iran's transport, customs and transit cooperation with other countries were identified and ranked. A closed questionnaire was used. The statistical population includes 12 experts in the qualitative section and 127 experts and customs managers in the quantitative section. Cronbach's alpha method was used for the reliability of the quantitative part of the questionnaire. In the next stage and step of the research, using the axial coding method and with analysis in the data theory of the foundation, the relationship between the classes produced in the open coding stage and the relationship of other classes with the central class are established in 6 headings, which are: 1. Conditions Ali, 2. central phenomenon, 3. strategies and measures, 4. intervening conditions, 5. contextual conditions, 6. consequences were obtained based on the paradigm model (Strauss and Corbin, 1998). Before that, considering these 6 classes and their relationship with each other, and with the opinion of professors and experts, the main and subcategories were identified from all the obtained indicators, and their priority and ranking were determined. In the quantitative part, the data analysis method including t-test and using structural equations has been determined and analyzed by SPSS and SmartPLS software.

Language:
Persian
Published:
Journal of Marketing Management, Volume:18 Issue: 60, 2023
Pages:
149 to 166
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