رضا حیدری

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 the corona virus has so far affected education and research in sport. The aim of this study was to investigating the effects of Covod-19 outbreak on Educational and research processes in sports. The present study is an applied research in terms of nature and from the aspect of data analysis method is descriptive-exploratory that data collection was done in the field. The statistical population included an unlimited number of all sports directors, sports teachers and professors, sports coaches, sports producers, sports service providers, sports referees, athletes, sports equipment sellers and sports media activists in Iran, and 600 samples answered a questionnaire of 20 research questions. In order to evaluate the reliability of internal consistency and its stability, Cronbach's alpha index was used in a preliminary study that the alpha value for the whole questionnaire was 0.972. Data analysis was performed using descriptive and inferential statistics with the help of SPSS and AMOS software. Exploratory factor analysis showed that education and research in sport were affected by COVID-19. This finding can help the relevant institutions and organizations in the country to improve the situation of education and research in sports in the post-Corona era .

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.

Background: Sport heritage is increasingly being recognized as a potent instigator of tourism. The convergence of heritage, sport and tourism involves many different and diverse fields, including sport tourism, heritage tourism, sport management. Aim: The purpose of this study was to identify the effective factors on the development of heritage sports tourism with an interpretive structural modeling approach (ISM). Materials and Methods: The present research is applied, qualitative and analytical in terms of nature and purpose, data retrieval, and data analysis method, respectively based on interpretive structural modeling. Data collection tools in this study were library studies, interview and questionnaire based on interpretive structural modeling. In order to identify the factors affecting the development of heritage sports tourism, with the collective agreement of experts and reviewing the research literature, 16 factors affecting the development of heritage sports tourism were identified. Results: According to the third step of the ISM method, the effective factors on the development of heritage sports tourism were classified into 7 levels and the political and governmental dimensions along with the rule of law were at the lowest level of the model (seventh level); these are prioritized in terms of implementation over other dimensions. As a result, officials and managers in the field of tourism and sports tourism should pay special attention to these dimensions in order to provide the ground for the emergence and realization of other dimensions at higher levels of the model. Finally, based on the analysis matrix of influence and dependence, it was determined that the political and governmental dimensions, rule of law, management and supportive factors are among the influence factors; economic dimensions, socio-cultural factors, infrastructure and welfare services, education and research, specialized human resources, technology, heritage sports tourism attractions, heritage, marketing and information and international relations are among the linking factors; and the dimensions of safety and security, complementary attractions and sporting events are among the dependent factors in this research. Conclusion: According to the results of the model, for the development of heritage sports tourism, there must be a serious determination. In this regard, the policies of a nation must be progressive, and in the first step, government with a decisive role must provide the infrastructure.