Sport Management
Shadi Rahbar Yaghobi; Mahvash Noorbaksh; mehdi kohandel; Seyed Nemat Khalifeh
Abstract
The objective of this research was to explore the strategic forecasting of AI drivers in the sports industry. This research is considered applied and exploratory in terms of its objective and nature, utilizing new methods in futures studies and analytical-exploratory analysis through the use of mutual ...
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The objective of this research was to explore the strategic forecasting of AI drivers in the sports industry. This research is considered applied and exploratory in terms of its objective and nature, utilizing new methods in futures studies and analytical-exploratory analysis through the use of mutual effects analysis. The statistical population consisted of two parts: informational resources (relevant research articles) and human resources (AI experts, sports industry experts, and university professors). The sampling method employed was purposive in both the informational and human resource sections. In the informational resource section, 18 studies were selected based on inclusion and exclusion criteria, while in the human resource section, 18 individuals were chosen based on four criteria: work experience, educational background (bachelor's, master's, and doctoral degrees), diversity, and collaboration capability. The data collection tools included checklists, questionnaires, and 27x27 dimensional matrices. To assess the validity and reliability of the results, strategies such as credibility, confirmability, process audit study, two-round Delphi method, face validity, and calculation of the coefficient of reliability using the summarization method (split-half technique) were employed. Content analysis was used to analyze the review of resources and expert opinions, followed by Delphi analysis and mutual effects analysis. The results indicated the presence of 27 key drivers in the future of AI in the sports industry, among which five drivers (occupational transformation, investment, expansion scope of AI, readiness for AI technology adoption, and infrastructure and equipment) were identified as constructive drivers of the future of AI in the sports industry. These results suggest that the transformative alternatives of AI in the sports industry encompass a spectrum of factors that are likely to undergo changes in the near future.
Sport Management
Majid Solimani; Abolfazl Farahani; Leila Ghorbani Ghahfarokhi; Hamid Ghasemi
Abstract
the purpose of this research was to develop a model of factors affecting customers' behavior in buying sportswear from online stores. The qualitative research method was chosen with the grounded theory approach. The statistical population of the research included two parts of human resources (managers ...
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the purpose of this research was to develop a model of factors affecting customers' behavior in buying sportswear from online stores. The qualitative research method was chosen with the grounded theory approach. The statistical population of the research included two parts of human resources (managers of online stores, online marketers, and expert professors in the field of digital marketing) and information sources (scientific, library, and relevant and reliable media). Sufficient number of interviewees and information sources were selected purposefully and based on reaching theoretical saturation (18 people and 25 documents). The research tool included semi-structured exploratory interviews along with a systematic library study. The validity of the tool was evaluated and confirmed based on the practical and scientific merit of the sample, the opinion of experts and the agreement between the correctors. In order to analyze the findings, a multi-stage conceptual coding method (open, central and selective) was used with the foundation's data theory approach. The final conceptual framework included 59 components, 11 dimensions and 5 themes identified. Its themes and dimensions include addiction to online shopping (dimensions of addictive shopping behavior and pleasurable shopping), quality (dimensions of website quality, product quality and service quality), ease and cost-effectiveness of shopping (dimensions of ease and time saving and ease purchase), advertising (dimensions of product advertising and word-of-mouth advertising) and trust (dimensions of site credibility and sense of security). Based on the findings of the research, it can be said that the tendency of customers to buy sportswear from online stores can be influenced by individual factors, and paying attention to this issue can make sports stores more distinctive in attracting customers and consumers in the virtual space compared to other competitors
Hassan Dehghan Dizaji; Mehdi Kohandel; Seyed Nemat Khalifeh; Akbar Farid fathi
Abstract
The development of the sports industry, as a crucial factor in achieving the economic, social, and cultural goals of society, holds special importance. This study was conducted with the aim of exploring the future of Iran's sports products industry using a scenario writing approach. The research method ...
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The development of the sports industry, as a crucial factor in achieving the economic, social, and cultural goals of society, holds special importance. This study was conducted with the aim of exploring the future of Iran's sports products industry using a scenario writing approach. The research method was based on futures studies. Additionally, the data collection method for this research was qualitative. The statistical population of the study included all experts and specialists active in the scientific and practical fields of sports. The criteria for conducting interviews in the qualitative section included having at least a doctoral degree in sports management (university faculty members in the field of sports management) or at least 15 years of experience working in sports organizations such as the Ministry of Sports and Youth, sports federations, the National Olympic and Paralympic Committees, and sports and youth departments, or being active in the sports industry, such as in sports equipment production. The quantitative section's statistical population included all sports management professors, importers, sellers, and producers of sports products, and sports organization experts in an unlimited number. In selecting the sample for in-depth interviews in the qualitative section, efforts were made to include both individuals with academic education (faculty members) and those with management and business experience. Sampling was conducted purposefully. After 14 interviews, theoretical saturation was reached, but to ensure accuracy, interviews continued up to 17. The Scenario Wizard software was used for scenario writing. According to the results, factors such as the capability and quality of human resources, continuous and bilateral relationships between universities and the sports industry, the management and structural status of the sports industry, the growth rate of the national economy and international economic status, the position of technology in Iran's sports industry, the cultural and social status related to sports in the country, sports equipment and facilities, Iran's foreign policy status, the level of development of sports diplomacy, the supportive and facilitative environment of sports industry legislation, the level of attraction of domestic and foreign investment in the sports industry, elite and professional sports management, and the tendency towards mass sports were identified as key drivers and enablers for the future development of the sports industry.
