Document Type : Research Paper
Authors
1 PhD Student in Sports Management, Department of Physical Education and Sport Sciences, Faculty of Physical Education, Shahrood University of Technology, Shahrood, Iran.
2 Associate Professor Sports Management, Department of Physical Education and Sport Sciences, Faculty of Physical Education, Shahrood University of Technology, Shahrood, Iran.
3 Assistant Professor of Economics, Department of Economics and Accounting, Faculty of Industry and Management, Shahrood University of Technology, Shahrood, Iran.
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 was conducted using an inductive approach, extensive literature review, and semi-structured qualitative interviews with 15 experts in the fields of sports industry and technology through purposive sampling.
Findings: The results showed that the components of artificial intelligence in the sports goods market include 9 main dimensions and 35 sub-dimensions in the artificial intelligence model theme. The most important identified components are routine artificial intelligence for intensive tasks, the development of software related to sports goods, value proposition, smart sports equipment, training and development, market researcher and analyst, human resources manager, development of improvement strategies, and business intelligence.
Originality: Advancements in artificial intelligence have far-reaching impacts on the sports goods market. This research identifies the dimensions, components, and advancements of artificial intelligence in the sports goods market, contributing to new knowledge and insights in this field. By 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 model of artificial intelligence that aids strategic decision-making in the sports goods market, emphasizing the social and ethical implications of these advancements.
Main Subjects
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