sports industry

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.

The purpose of this study was to identify barriers to the development of the electronic-marketing in the sports industry. The present study is a correlational and applied one. The statistical population consisted of 203 individuals including university faculty members, experts, managers of sport federations, members of sport federations board, and experts in e-marketing. The available non-random sampling method is also used in this research. Moreover, data collection tool was a researcher-made questionnaire that was extracted from two external articles. Besides, ten experts in sport management confirmed the validity of the questionnaire. The reliability of the questionnaire was likewise calculated using Cronbach alphas test. Confirmatory factor analysis and structural equation modeling were used to analyze the questionnaire data. The results showed that sports marketing barriers were cultural and social, technical, legal and organizational, high cost, limitation of government support, lack of information, low skills of staff and finally security threats. It is suggested that the policy makers of the country's sports industry consider these barriers before developing strategies for developing e-marketing capabilities.

The objective of this research is to develop the green tourism supply chain management model for the sports industry. The research method is descriptive - correlational. 140 managers and sports experts in the country responded to a questionnaire extracted from the qualitative section (systematic exploratory) including 15 variables and 59 items on a 5- point Likert scale. SPSS, Smart PLS software was used for modeling. The results showed that the effect of three environmental, tourism, and sports ecosystems on ecological management in the sports industry is important (with coefficients of 0.54, 0.88, and 0.63, respectively). The effect of green shopping on green consumption and green recycling was significant with coefficients of 0.67 and 0.43. Green consumption and green recovery variables had significant effects on the consequences of the green tourism supply chain with coefficients of 0.88 and 0.62. In general, based on research findings, green tourism supply chain management in sport manufacturing firms is systematic and result from the impact of factors associated with the ecosystem, industry, and customer point of view.

Background: Sports Investments is one of the most unique sports events, in the country dealing both with collectors and dealers. Aim : The purpose of this study was to compare the sports investment o Iran in 2016 and 1998. Therefore, we estimate the value of the sports investment sector and share of total investment, GDP, GDSP and compare with 1998 in Iran. Materials and Methods: In this study, national accounts were used. Most of the basic data fare available in a decentralized manner in the Statistics Center and the Program and Budget Organization of Iran. Due to achieving real changes in sports investment between 1998 and 2016, prices in 1998 was considered as the base year and were considered. Then using the price index of the desired years, the effects of inflation were eliminated and growth real was calculated. Results: The results indicate that investment in sport in 1998 was 360 billion Rials, which is 0.43% of total investment, 0.1% GDP, and 26.2% of GDSP. Also, investment in sport in 2016 was 15449 billion Rials, which is 0.46% of total investment, 0.11% GDP and, 73.38% of GDSP. Investment in sport in 2016 compared to 1998 had 2347% real growth. Conclusion : Although, investment in sport in 2016 compared to 1998 has grown, but it is very small compared to the total investments. Results also show the major share of the public sector and the low participation of the private sector.

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.

Small and medium industries are considered as the critical platforms for entrepreneurship growth. Examining and identifying initiatives for developing small and medium-sized sports businesses in Iran can greatly contribute to the progress of this field. Therefore, this research aims to identify the initiatives for the prosperity of small and medium sports businesses in Iran. This study is a qualitative and exploratory research. The participants included faculty members in sports management, marketing, and managers and other sports experts interviewed through a purposeful sampling approach. To collect data, in-depth and semi-structured interviews were conducted and finally theoretical saturation was achieved with 25 interviews. To analyze the data, the thematic analysis method was used. The results show that the initiatives for developing small and medium-sized sports businesses in Iran consist of five main categories, including “economic measures, communication-information initiatives, practical training, support structure, and internal organizational policies”. Finally, according to the initiatives for the prosperity of small and medium sports businesses, it might be necessary to implement the necessary measures and appropriate programs in this field to deal with the situation efficiently.