حمیرا شجاعی

The purpose of this study is to explore the effective factors on the productivity of human capital via an interpretive structural modeling (ISM) in General office of Sports and Youth in Khorasan Razavi Province. The present study is a qualitative research with an analytical nature and it is also an applied one that was conducted via interpretive structural modeling. Literature review, interviews and ISM questionnaires were used for data collection. The research population included professors and experts in sports management, managers, deputies and staff of the General office of Sports and Youth in Khorasan Razavi, of which 35 people were totally selected through purposeful sampling in three stages of this study. According to the research findings, 59 effective indicators were identified under seven major dimensions playing role in improving the productivity of human capital, which were classified into five levels. Motivational factors, organizational culture and work environment, the relationship between managers and employees along with individual factors, the quality of labor force, and finally the technology factor were identified under five levels of the model. Finally, it can be concluded that managers in sports organizations should pay special attention to the technology factor and its indicators, which have been identified as the foundation of improving employees’ productivity, which then provides the ground for exploiting other dimensions at higher levels.

The spread of coronavirus in the world has had various effects on industries, especially the sports industry. The purpose of this study was to explain and classify the effects of coronavirus outbreak on the dimensions of the sports industry. The present study was applied in nature, mixed in terms of data retrieval and descriptive-exploratory in terms of data analysis method that data collection was done in the field. The statistical population in the qualitative section included sports experts, 18 people were purposefully selected, and the statistical population in the quantitative section included all activists in the field of sports and sports industry, of which 600 samples were selected by simple random sampling. Data collection in the qualitative part was done by the systematic method of data theory and in the quantitative part, using a researcher-made questionnaire obtained from the qualitative part of the present study with 79 items in 2 dimensions of direct effects and indirect effects on a 5-point Likert scale. Research data were analyzed using descriptive and inferential statistical methods with the help of SPSS24 and Amos statistical software. The results showed that the outbreak of coronavirus had a direct and indirect role in the production and distribution sectors, private and public sectors, sports education and research, trade, events and competitions, technology, services and economics of the sports industry. This finding can help the country's sports managers and officials to improve the situation of the sports industry in the post-Corona era.