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Developing a Framework for Implementing Artificial Intelligence in the Sports Goods Market: Social and Ethical Implications of the Development

Document Type : Research Paper

Authors

1 PhD Student of Sports Management, Department of Physical Education and Sport Sciences, Faculty of Physical Education, Shahrood University of Technology, Shahrood, Iran.

2 Associate Professor of Sports Management, Department of Physical Education and Sport Sciences, Faculty of Physical Education, Shahrood University of Technology, Shahrood, Iran.

3 Assistant Professor of Economics and Accounting, Faculty of Industry and Management, Shahrood University of Technology, Shahrood, Iran.

10.22051/sbj.2024.48965.1192

Abstract

Purpose: The main focus of this research is to identify the dimensions and advancements of artificial intelligence in the sports goods market.
Methodology: This research is applied in nature; in terms of strategy, it is qualitative and of the thematic analysis type. The data have been examined using inductive coding and line-by-line analysis. This method helps discover meaningful patterns and relationships in the data, providing a deeper understanding of the subject. This research used an inductive approach, extensive literature review, and semi-structured qualitative interviews with 15 sports industry and technology experts through purposive sampling.
Findings: The results showed that artificial intelligence components in the sports goods market include nine main dimensions and 35 sub-dimensions in the artificial intelligence model theme. The most critical identified components are routine artificial intelligence for intensive tasks, software development related to sports goods, value proposition, smart sports equipment, training and development, market research and analysis, human resources management, development of improvement strategies, and business intelligence.
Originality: This Advancements in artificial intelligence have far-reaching impacts on the sports goods market. This research identifies artificial intelligence's dimensions, components, and advancements in the sports goods market, contributing to new knowledge and insights. Using qualitative analysis and semi-structured interviews, new findings are presented, showing how artificial intelligence can improve various processes in the sports goods market and focus on market share. Additionally, the challenges of automation for routine jobs and the need to transition individuals to new roles are examined. This research provides a practical and comprehensive artificial intelligence model that aids strategic decision-making in the sports goods market, emphasizing these advancements' social and ethical implications.

Keywords

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Sports Business Journal
Volume 5, Issue 2 - Serial Number 14
June 2025
Pages 119-139
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