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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.

purpose: This study aimed to assess the validity and reliability of the "Mental Talent Identification Questionnaire for Athletes with Disabilities." Method: This descriptive, cross-sectional survey encompassed 367 athletes (194 women and 173 men) participating in the December 2024 Talent Identification Festival organized by the Sport Federation for the Disabled Persons. Exploratory factor analysis utilizing the principal components approach with varimax rotation was conducted to evaluate validity, and Cronbach's alpha coefficient was applied to ascertain reliability. Findings: The KMO index was 0.872, and Bartlett's test yielded a significant result demonstrating the appropriateness of the data for factor analysis. Preliminary exploratory factor analysis identified six components with eigenvalues exceeding one, together accounting for 55% of the total variance. Five principal variables (self-confidence, resilience, Goal Setting, competitive motivation, and commitment) were kept based on factor loadings and statistical criteria. The Cronbach's alpha coefficient for the complete questionnaire was 0.807, indicating satisfactory reliability of the instrument.Conclusion:The findings demonstrate that the Mental Talent Identification Questionnaire for Athletes with Disabilities exhibits suitable psychometric features and can function as a valid and reliable tool for evaluating mental factors pertinent to talent identification in this demographic.