درخت حوزه‌های تخصصی

The present research was conducted with the aim of improving economic governance in the country's sports based on marketing factors. The participants in this research consisted of individuals with expertise in the field of sports economics. The data collection tool used in this research was semi-structured interviews. To analyze the qualitative data, thematic analysis was employed. The results of this research indicate that in the context of specialized and human facilitators aimed at enhancing economic governance, the main concepts identified include attention to global structures in sports, scientific processes, supportive systems, and managerial systems. In total, 21 components were identified for improving economic governance in the country's sports based on marketing factors, concerning the specialized and human facilitators aimed at enhancing economic governance. Moreover, in terms of foundational, structural, and organizational capabilities concerning the objectives of economic governance, the main concepts identified include expanding penetration rates, building trust, budgeting, and social incentives in sports. A total of 16 components of economic governance in the country's sports, based on marketing factors, were identified. Additionally, regarding the quality of communications in achieving the goals of economic governance, the main concepts included inter-sectoral cooperation, creating a social economy, and informational aspects. In total, 12 components of economic governance in the country's sports, based on marketing factors, were identified in relation to the quality of communications in achieving the goals of economic governance.

In recent years, the integration of artificial intelligence (AI) across various industries has significantly transformed traditional practices, particularly in marketing. As sports marketing increasingly turns to AI-generated content, understanding the factors that influence consumer attitudes and purchase intentions becomes crucial for the effective utilization of this innovative technology. This article examines the impact of two key factors— observability and compatibility—of AI-generated sports marketing content on consumer attitudes and their purchase intentions. In today’s competitive world, understanding how this novel technology affects consumer behavior and how they interact with marketing content is of particular importance. Data was collected through a questionnaire using simple random sampling from sports consumers (n=300). A quantitative research method and structural equation modeling were employed, and the data were analyzed using SEM-Smart PLS TM3 software. The results indicated that observability and compatibility significantly influence consumer attitudes, which in turn affect purchase intentions. The robustness of the research model was confirmed through R2 and β values, emphasizing the importance of using innovative technologies in sports marketing. This article is one of the few studies focusing on the effects of AI-generated content in the sports industry and offers suggestions for improving sports marketing strategies.

The aim of the study is to determine the effect of e-commerce platforms with the mediating role of customer-related factors on the intention to purchase sportswear and the presentation of the model. The present study is applied and descriptive. The statistical population of the study is 420 sportswear customers in Rasht. The field data collection method, the data collection tool, the standard questionnaire, and the data analysis method, structural equation modeling were used, and the reliability of the tool was confirmed through Cronbach's alpha and the composite reliability and construct validity through convergent and divergent validity using factor analysis. After a descriptive study of the variables, the factor structure analysis technique and path analysis were used, and the path coefficients for the variables were examined using PLS3 software. The results of the study showed that e-commerce platforms, customer satisfaction, customer loyalty, customer purchase behavior, and customer perceived value did not have a significant relationship on purchase intention, and customer perceived value, customer purchase behavior, customer loyalty, and customer satisfaction mediated the relationship between e-commerce platforms and purchase intention. From the results of the research, it can be concluded that by creating a reliable and secure platform that introduces sports products well and makes the shopping process easy for the customer, it can lead to customer satisfaction and repeat purchases; therefore, it is recommended that managers of sportswear stores use social media platforms and media to introduce and sell their products in order to grow and survive in today's competitive market.