مطالعات بازاریابی ورزشی

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 purpose of this article is to present a paradigm model for pink marketing and branding in sports equipment. This research has a "qualitative approach" and uses the grounded theory method. Since the review of previous researches showed that no exactly similar research has been done in this field; Therefore, the application of this theory with the method of Strauss and Corbin (1990) is justified. Theorizing in 3 states is open coding, central coding and selective coding. causal factors include social freedom, becoming an influencer in social media and  women's spontaneity; Background factors include the launch of social media marketing campaigns and increasing the power of influence and purchase of women; Intervening factors include social norms and women's self-branding and strategic factors including pink product (fit with women's taste and taste), pink price (ethical prices), pink advertisement (focusing on emotions in advertising) and pink distribution (external and internal design). Finally, by using the strategic factors of pink branding in sports equipment, we will witness social and cultural identification, targeted marketing and high acceptance. while it's common to find a product in multiple colors, pink is specifically used in gender marketing to make products available in a single version for women, providing marketers with added value.

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.

According to the new attitude in the management of gymnastics clubs, in the present research, an attempt has been made to design the implementation model of the blue ocean strategy in gymnastics clubs. This research was a qualitative study. The participants in the research were university experts who, according to the nature of the research, were conducted with 10 people in a snowball manner with semi-structured interviews until theoretical saturation was reached. In order to ensure the reliability and validity of the research, intra-subject agreement and expert opinions were used and their opinions were revised. To form the theory, Strauss and Corbin's method was used in the form of three stages of open, central and selective coding, and by using blue ocean strategy implementation tools such as the strategy canvas, the four action framework, etc., in order to present the ocean strategy implementation model. 179 The final concept was designed in the form of the foundation's data theory conceptual model consisting of the central category, causal conditions, contextual factors, intervening conditions, strategies and consequences. Also, a 5-step model for implementing the blue ocean strategy in gymnastics clubs was presented, and finally, this model was combined with the conceptual model of the foundation's data theory and the final model was obtained. In order to identify the right path to move towards the blue ocean, strategies of creation, increase, decrease and elimination were used, and finally, the implementation of the strategy resulted in the results of the research.

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 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 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.