درخت حوزه‌های تخصصی

Objective: The purpose of this research is The effect of media tourism and sports diplomacy on product brands. Methodology: This is a correlational study and the statistical population of this study is PhD students in sports in Iran. Based on Morgan's table, 150 Individuals were selected by random method. In order to achieve the research goals, a comprehensive list of sports indicators was prepared and adjusted and a researcher - made questionnaire was developed. The validity of the questionnaire was confirmed by 15 sports management professors and their reliability was in a preliminary study with 30 subjects and Cronbach's alpha was calculated to be 0.909 . Descriptive and inferential statistical methods such as exploratory factor analysis, and confirmatory factor analysis were used to analyze the data using SPSS and LISREL software. Results: The results showed that the main variables have eight general dimensions of sport tourism, sport diplomacy, sports investment, sporting-cultural, sports exports, sports people-sports, sports achievements and media sports, and has a total of 50 indicators. Conclusion: According to the results of the research and the identified indicators, the proposed model is a suitable theoretical model for sport indicators affecting the brand of the country.

To improve the operation level of the companies tailored to industry 4.0 it is necessary to develop logistics system. In order to develop the logistics level, the first step is to measure the growth and evolution of all logistics process. For measuring the evolution and growth of the logistics system (LS), the processes and components of the logistics system and then the evolution level should be determined, at the end their level of evolution should be measured for each firms. The purpose of this paper is to determine the evolution level of the LS in the large industries of Iran. The research method is descriptive - applied and Data were gathered in two steps. First utilizing interviews with logistics experts for identifying the logistics process and components. Second step was data collection by check list in local visits and direct observation in firms. Checklist was completed in group sessions with the help of managers and experts in each firm. Using the mean of the logistics components and degree of adoptive (DOA) technique, evolution of LS was measured in industries. Results shown that firms with heavy products have little progress in the evolution of logistics compared to other firms and also the firms that have automatic production system will growth in logistic evolution better than others especially in intra-logistics and material handling. The method and result of this paper can be seen as a roadmap for managers and organizations and they will plan development and evolution of logistics processes.

The main purpose of this study is structural-interpretive modeling of industrial brand competitiveness in the petrochemical industry. This research is a qualitative-quantitative mixed exploratory research. The statistical population in the qualitative part of the research includes faculty members and experts in the field of industrial management, marketing and industrial brand, professors familiar with the subject of research and managers and deputies with experience in petrochemical companies in the country using 16 snowball sampling method were chosen. In a small part, the statistical community includes personnel (managers, deputies and experts) of the marketing and sales department of petrochemical companies in the country. For sampling, due to the small size of the statistical population and the irreversibility of the questionnaires has been used the whole number and the whole population has been considered as a sample in a small part (N = 255). The research tool in the qualitative part of the interview is semi-structured and in the quantitative part the researcher has made a questionnaire. For data analysis in the qualitative part, fuzzy Delphi theme and technique analysis has been used and in the quantitative part, ISM technique has been used for data analysis. In the qualitative part of the research, a total of 14 variables were identified as factors affecting the competitiveness of the industrial brand.