درخت حوزه‌های تخصصی

The research utilizes bibliometric analysis and negative binomial regression to conduct a retrospective evaluation of the Journal of Sport & Tourism (JS&T), widely recognized as the oldest and most prominent publication in the industry. The objective is to gain a comprehensive understanding of the development and patterns seen in sports tourism area. We analyzed 243 articles published in Journal of Sport & Tourism from 2006 to 2022 (Volume 26, Issue 2). The first bibliometric analysis of Journal of Sport & Tourism reveals that the journal has significantly contributed to the sport tourism area for academics and professionals. For example, the percentage of female co-authors is, on average, 35.8%. However, a significant portion (42.38%) of all publications have been authored solely by men, with no female co-authors. These findings suggest an opportunity to enhance gender diversity in the journal's publications and research. In addition, the negative binomial regression results show that the article age variable positively correlates with citation, while the demeaned age squared variable displays a negative association. Also, we found a significant association between gender and citations per year but no significant relationship between gender and total citations. The detailed interpretation of these findings contributes to a deeper understanding of the intricate dynamics surrounding gender-related factors in scholarly impact, emphasising the importance of considering annualised and cumulative citation metrics for a comprehensive evaluation. As a results, the study provides a lens for academics and practitioners to follow to understand the evolution of sport tourism.

The purpose of this paper was to analyze the performance of elite taekwondo athletes using machine learning approaches to achieve three objectives: categorizing performance into four clusters ranging from excellent to poor, identifying key physical characteristics influencing performance, and predicting medal-winning potential in world competitions. This study employs the National Olympic Academy dataset of Iranian taekwondo athletes’ physical fitness and anthropometric records from 1996 to 2019 to develop descriptive and predictive models. In datasets comprising 999 female and 1560 male records, SOM-means and SOM-spectral clustering algorithms achieved average test efficiencies of 80%, for Silhouette, and 20% for Davies-Bouldin in the female dataset, and 79% and 34% respectively, in the male dataset, identifying four performance clusters based on physical attributes and medal distribution. A semi-supervised learning model with the CPLE-Learning algorithm demonstrated medal prediction capabilities, with accuracy rates of 68%, 59%, and 73% for predicting gold, silver, and bronze medals in the female dataset, and 58%, 61%, and 54% in the male dataset. These findings highlight the effectiveness of machine learning in sports performance analysis, offering valuable insights for managing taekwondo athletes and enhancing physical preparation strategies.

The aim of this study was to develop a comprehensive model for strategic thinking in sports federations in Iran. This research is a qualitative exploratory study and a practical one that has been done using thematic analysis. The research population consisted of experts and elites in the field of strategic sport management, with having knowledge of the sport federations. The research participants based on the triangulation technique included: faculty members of sports management of universities, senior managers with the experience in the field of sports, as well as athletes and referees with experience of professional sports. 16 participants were interviewed through purposive and snowball sampling until reaching theoretical saturation. The tools used to collect data included a semi-structured interview based on the main questions and objectives of the research. To increase the accuracy and validity of the analysis at different stages, the codes, sub-themes and main themes were provided to research team as well as two interviewed experts and the necessary modifications were made in accordance with their opinions. The retest reliability method was used to ensure the reliability of the findings. Credibility, dependability, transformability, and confirmability were also used to confirm the validity. Finally, based on the six-stage thematic analysis model of Braun and Clarke (2006), the final research model was developed which included: “effective factors”, “strategic thinking elements” in sport federations, and “Strategic thinking consequences” in sports federations. Considering the findings of this study can pave the way for developing strategic thinking in sport federations.