درخت حوزه‌های تخصصی

The purpose of the present study was to determine the effect of a selected aerobic step training program on cardiovascular indices, maximal oxygen uptake (VO₂max), subcutaneous fat, anxiety, and aggression in deaf male students. Thirty deaf males with a mean age of 19–25 years, height ranging from 167 to 186.5 cm, and weight between 51 and 105 kg were randomly divided into experimental (n = 15) and control (n = 15) groups. The training program for the experimental group lasted for six weeks, consisting of three sessions per week, each session lasting 45 minutes with an intensity of 80–85% of maximum heart rate (HRmax). Pre- and post-tests were administered to measure aerobic capacity, anxiety, and aggression using the aerobic step test, Spielberger’s Anxiety Inventory, and the Buss–Perry Aggression Questionnaire, respectively. Subcutaneous fat was measured using a skinfold caliper. Data were analyzed using independent t-tests and covariance analysis. The results revealed a significant increase in aerobic capacity as well as a significant decrease in anxiety, aggression, and subcutaneous fat percentage following the aerobic training intervention. Overall, the findings indicate that aerobic exercise has a positive effect on aerobic capacity adaptation, body composition, anxiety reduction, and aggression control in deaf individuals.

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.

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.

This study examines the impact of visual occlusion training on motor performance and visual prediction in judokas. By limiting parts of the visual field, these exercises prompt athletes to focus more on remaining visual cues, enhancing predictive abilities. The research aims to evaluate the effectiveness of central and peripheral occlusion in judokas. The study employed an experimental design with a pre-post test and control group, involving 45 judokas aged 15-45. Results showed significant improvements in motor performance and visual prediction in both occlusion groups post-intervention. These findings suggest that visual occlusion training can be an effective tool for enhancing motor and predictive skills in athletes, contributing to the development of novel training programs. These results can assist coaches and athletes in improving performance.