درخت حوزه‌های تخصصی

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.

The research method employed a mixed approach (qualitative-quantitative), with participants consisting of experts in sports marketing, media, and e-sport businesses. The selection criteria for participants in the qualitative section were theoretical saturation, and a purposive sampling method along with snowball sampling strategy resulted in the selection of 18 individuals. The identified individuals from the qualitative section were then used for structural-interpretive analysis. Data collection tools included semi-structured interviews for the qualitative section and a 14x14 matrix for the quantitative section. To ensure validity and reliability, the coding process utilized strategies such as credibility, transferability, conformability, process audit, and agreement within the subject. The qualitative data analysis involved two stages: initial coding and focused coding, while the quantitative data analysis employed the structural interpretive modeling and the MICMAC analysis. The findings revealed 14 determinant factors related to social media marketing in e-sport businesses. Based on the structural interpretive analysis, the relationships between these factors were categorized into 7 levels, forming a hierarchical relationship model. This model demonstrates that social media marketing in e-sport businesses leads to changes in consumer behavior and the effectiveness of marketing activities. The underlying cause of this transformation is the growth of the digital environment, followed by the widespread penetration of social media networks. Based on these results, it can be concluded that social media marketing in e-sport businesses is a complex multifaceted process, with interconnected components that create interactions and reactions in social media marketing.

The purpose of this research was to identify strategic positioning of sports diplomacy capacities for sustainable development. The research population included professional athletes and coaches; who had experience working at international sports levels. The sample was selected via availability methods (146 individuals). Data collection was conducted through a researcher-made questionnaire. Data analysis was performed using SWOT matrix. Five professors confirmed the validity of the questionnaire, and its reliability was determined by Cronbach's alpha value of 0.89, indicating the high reliability. The results revealed that the strategic position of sports diplomacy capacities for sustainable development is in the WT quadrant, indicating that the most appropriate strategies that can be applied are defensive ones. Accordingly, respective planners and decision-makers in sports, especially policy-makers, should consider appropriate strategies to improve Iranian sports diplomacy capacities, leading to a more sustainable development.

The aim of this study is to investigate the evolution of sport tourism research and identify research gaps in the field. This descriptive-analytical research utilizes a bibliography and illustration method to achieve these goals. A total of 644 articles were extracted from the Web of Science database, and their bibliometric data were analyzed using VOS viewer software. The findings reveal the trend of publishing articles and citing them in recent years, while also outline the most cited articles, researchers, journals, and universities. Additionally, the primary country in the collaboration network was identified. Keyword co-occurrence analysis indicates that the majority of research in this field pertains to sport events and their management. The results also underscore a limited focus on the approach of service dominant logic and its derived concepts. Additional areas for future research include examining tourists' behavior as customers throughout all travel stages, investigating the impact of technology on sports tourism, and exploring tourists' behaviors.

The aim of the present study was to identify and explain the factors influencing business intelligence in online sports enterprises. The research employed a qualitative methodology based on grounded theory. The statistical population consisted of experts, specialists, university professors, and entrepreneurs active in the domain of sports business. A snowball sampling method was employed to select participants for in-depth interviews. The primary data collection instrument was semi-structured interviews conducted with 17 participants. The validity of the interview protocol was verified by both the interviewees and a panel of academic experts. To assess reliability, the intra-subject agreement method was used, yielding a reliability coefficient of 0.87. Data analysis was conducted using grounded theory methodology. Findings revealed that the key factors influencing business intelligence in online sports enterprises include: innovation development, resource management, internet-based business expansion, supportive legal and policy frameworks, and cultural infrastructure. These core categories were further broken down into 11 concepts and 52 open codes. Based on these findings, it is recommended that strategic policymaking and effective interventions be implemented to support the development of online sports businesses. Such initiatives may also stimulate short-term employment growth.