درخت حوزه‌های تخصصی

The aim of this mixed-methods study is to develop a model for the development of insurance fields in the sports industry in Iran with a systematic data-based approach in the qualitative phase and a survey approach in the quantitative section. The data collection tools included document review, experts’ interviews, and questionnaires, which its reliability and validity were validated. The participants in the qualitative section consisted of 21 university professors in sports management familiar with insurance issues and insurance industry experts familiar with the sports industry selected by purposive sampling approach in 2022. The statistical population in the quantitative section consisted of insurance sales networks and sports executive bodies. Based on the Morgan table, 384 individuals were selected through the available sampling. Data analysis was performed using NVIVO, Smart PLS software. The coding results led to the extraction of 88 primary codes, 20 axial codes, and 10 selective codes. The results showed that the core factors of casual conditions of the model of developing insurance fields in the sports industry included the external conditions, the background factors, the intervention conditions, the strategies, and the outcomes. Based on the research findings, the strengthening of the economic infrastructure and constructive marketing strategies had the most significant impact on the research model.

The main purpose of the present study was to determine the factors affecting the establishment of sports knowledge-based companies based on electronic knowledge. To pursue this aim, Glaser's grounded theory was used as the qualitative research method. 16 in-depth and semi-structured interviews were conducted with academic and industry experts in the field of sports using purposeful and snowball sampling methods. Data analysis was performed in three stages: open coding, axial coding, and selective coding, and the preliminary list of factors was identified through initial library studies. The 105 values affecting the development of sports knowledge-based companies based on electronic knowledge were extracted through the open coding process. The final pattern was created using the results of axial coding, which revealed the identification of 12 subcategories, falling into two main categories: intra-organization (human resources, management, marketing, legal, and financial factors) and extra-organization (educational/creativity and innovation factors, economic, cultural-social, infrastructure, legal, policy-making, and support/protection). According to the findings of the study, the professional and comprehensive view of managers and scientific and executive officials on these mentioned factors can change the ecosystem of sports entrepreneurship in Iran, providing the necessary context and infrastructure, as well as the sports community's interest in entrepreneurship and the formation of knowledge-based companies. This is, of course, accompanied by long-term job opportunities for activists in this sector as well as the development of new and inventive ideas, goods, and services.

Although the succession planning literature focuses more on managerial and staffing levels in organizations, it can also be used for players in clubs and sport teams. The purpose of the research was to identify and evaluate a model of player succession in Iranian football premier League. The research method was mixed (qualitative and quantitative). The statistical population of this research in the qualitative section includes 16 specialists and experts in football, and in the quantitative part of the research, all managers, athletes, coaches and football referees in the Premier League in 2020, and finally 286 subjects were studied through stratified random sampling in quantitative phase. Research hypotheses were examined using correlations and structural equations modelling . A total of 189 primary codes (concepts) were extracted in the coding process, which after validation, 33 primary codes (concepts) were compiled. In the model, causal conditions included binding or motivating factors as well as the process of replacing players. Underlying conditions involved networking to develop a player replacement program, interacting with other organizations, formulating binding strategies, and setting a budget to promote win-win thinking in the football club succession program in Iran.

The purpose of this study was to provide a model for supporting elite female athletes in championship sports. To achieve the research aim, 200 people answered the questionnaires using purposive sampling method. The researcher-developed questionnaire was prepared through studying the theoretical background, semi-guided interviews with sports management professors and elite female athletes through an exploratory process, and exploratory factor analysis was used to categorize the 46 items into nine factors. The extracted constructs were found to be both valid and reliable based on confirmatory factor analysis by LISREL software and Cronbach's alpha. Results of the study indicated that the present questionnaire was a suitable tool to assess the support for elite female athletes. Besides, the final research model indicated that financial support was the first priority from the respondents’ perspective while government support was the last priority according to them. Moreover, all the fitness indices of the model for supporting elite female athletes and its aspects had good fitness which confirmed the model. Based on the results of the present study, it is suggested that the research model and the priority of its factors be considered for policy-making in the field of women's championship sports. 

Sports are generally competitive and stressful. Competitive sport anxiety in athletes affects sports self-efficacy. The present study aimed to investigate the relationship of competitive anxiety and mindfulness with sports self-efficacy of male athletes mediated by family cohesion. The statistical population of this descriptive-correlational study covered all male athletes in Masjed Soleyman, Iran in 2021, and a sample of 258 athletes was selected using convenience sampling. The research tools included the Sports Self-Efficacy Questionnaire, Competitive Sports Anxiety Questionnaire, the Mindfulness Inventory for Sport, and the Family Cohesion Questionnaire. The proposed model was evaluated using path analysis, and indirect correlations were tested with bootstrapping. The results suggested that all direct paths to sport self-efficacy were significant except athletic mindfulness (p<0.01), and indirect paths to sports self-efficacy became significant through family cohesion (p<0.01). According to the results of this study, the proposed model had good fitness and was a major step toward recognizing the factors affecting sports self-efficacy in male athletes as it can be helpful in designing effective plans to reduce males' experienced tension and improve their sports self-efficacy.