درخت حوزه‌های تخصصی

This study aims to conduct a bibliometric analysis of sports management research using Scopus-indexed publications. The analysis covers various aspects such as document types, publication year trends, journals, authorship collaboration, global and institutional collaboration, as well as trends and topical focuses within the field. The results demonstrate a significant growth in sports management research over time. The analysis of findings reveals important clusters representing different themes and trends, illustrating the complexity and diversity of the field. There is a notable shift in sports management research towards recognizing the social, economic, and environmental dimensions of the discipline. The findings of this research hold great value for researchers, scholars, students, universities, managers, and decision-makers in the field of sports management. They provide valuable insights for various stakeholders, enabling them to stay informed about research trends, identify collaboration opportunities, and comprehend the evolving landscape of sports management.

The present research aimed to explore the role of modern sports technologies in the advancement of athletic sports, employing a mixed-method design. The qualitative phase utilized purposeful and criterion-oriented sampling methods, along with semi-structured interviews, while data collection and analysis were conducted using the thematic analysis method (Brown and Clark, 2006). In the quantitative phase, a questionnaire was developed, incorporating the dimensions and components identified in the qualitative phase. A random sampling method was employed, and Cochran's formula was utilized to determine the sample size, resulting in a determination of at least 384 samples. Ultimately, 356 questionnaires were collected. Descriptive statistics and Friedman's ranking test were employed for the quantitative data analysis. The findings revealed that the development of athletic sports through modern technologies comprises five main components: (1) factors influencing the development of athletic sports through technology, (2) the progression of athletic sports, (3) the challenges encountered in the development of athletic sports through technology, (4) the opportunities for enhancing athletic sports through technology, and (5) the consequences arising from the development of athletic sports through technology.

The development of sports infrastructure is crucial for promoting sports culture in society; however, this process is challenged by a lack of financial resources. Donors can complement government resources by financing and accelerating sports projects, but utilizing their capacity faces obstacles. The present study aimed to identify barriers to utilizing donors' capacity in developing sports infrastructure in Iran. This study employed a qualitative content analysis method using the thematic analysis technique, which is exploratory in nature. The research population included sports experts, managers, and individuals active in the field of sports philanthropy. Sampling was conducted through purposive and snowball methods, reaching theoretical saturation after 17 interviews. Data were collected via semi-structured interviews conducted through direct communication and telephone calls. To assess validity and reliability, acceptability, transferability, confirmability, and test-retest methods were used. Data analysis yielded 52 open codes, categorized into 17 sub-themes and 6 main themes: organizational barriers, planning and management barriers, legal barriers, cultural barriers, economic barriers, and awareness and educational barriers. The present findings can serve as a crucial guide for sports organizations and the government in identifying barriers to utilize donors' capacity in developing sports infrastructure, thereby facilitating improved actual performance in this domain.

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 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.

The aim of the study was to assess the state of academic education in sport management in Iran. A mixed methods research approach was utilized, involving the collection of documentary data from relevant websites, followed by interviews with experts in sport management education. The participants were purposefully selected using a non-random method. The findings revealed the existence of 65 doctoral programs in sport management, with a target of attracting 266 students, as well as 261 master's programs in three tracks within sport management, aiming to draw 3554 applicants. Furthermore, there are approximately 230 faculty members in sport management. The experiences of experts highlighted a decrease in the average quality and motivation of students in sport management programs. One of the reported reasons for this was the lack of legal support in attracting specialized individuals in this field to the job market.

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.