درخت حوزه‌های تخصصی

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.

This study aimed to examine the challenges and opportunities of sports stakeholders in social media use. This study uses thematic analysis to analyze the literature on the research topic. Furthermore, semi-structured interviews were conducted with three groups of sports stakeholders, including players (N=15), teams managers (N=14), and fans (N=26) that were chosen from three professional football teams. The phenomenological method was used to explore the research questions. The study addressed seven categories of sport stakeholders' challenges and opportunities in social media: informing sports stakeholders, sharing information, advertising, shopping, dialogue, and facilitation of communication, which are offering opportunities. Moreover, two challenges, including unpleasant feelings and time consumption, are recognized as dilemmas. The findings showed common challenges and opportunities of all three sports stakeholders in using social media.  

The purpose of this study was to identify effective drivers in the future of sports businesses in Khorasan Razavi province. The participants included experts in management, marketing and sports businesses. The interviews were conducted by snowball method and continued until the theoretical consensus, and finally after 18 interviews we reached the theoretical consensus. For statistical analysis SPSS software and Mick Mac software were used. The results of cross-impact analysis based on MDI and MII matrices showed that supportive drivers, marketing drivers, as well as drivers of creativity and innovation play an important role in improving system relationships. In addition, the three groups of propellants having the highest and the least impact included economic divers, (educational divers) and customer-oriented divers respectively. On the other hand, propellants such as; Cultural drivers, communication drivers, and managerial drivers are more influenced than being influential. Finally, it was the propulsion of manpower that lacks a key and important role in the formation of sports businesses in Khorasan Razavi province, but they should not be forgotten completely. It is suggested that in order to develop more sports businesses in Khorasan Razavi province, these items should be on the agenda to achieve a bright future in sports in the province.

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.

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.