The implementation of AI-powered evaluation systems in artistic gymnastics
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School of Business |
Master's thesis
Authors
Date
2024
Department
Major/Subject
Mcode
Degree programme
Information and Service Management (ISM)
Language
en
Pages
70
Series
Abstract
Most industries are currently affected by digitalization, and the sports industry is no exception. During recent years, many international sports organizations have developed AI-based tools for evaluation of the sport in order to ensure fair and transparent judging. Furthermore, the role of AI in sports is expected to continue increasing in the upcoming years. This is a study looking into the implementation project of AI-powered evaluation systems in artistic gymnastics. The objective is to understand how the implementation project has progressed, as well as examine the factors that have affected the implementation process. Eight semi-structured interviews were conducted with stakeholders that have been involved in the implementation process of the system. Additionally, a Critical Incident Technique (CIT) analysis was conducted in order to identify the most important factors that have helped or hindered the implementation project. Findings suggest that the implementation process has taken more time than what was initially planned. Additionally, all initially desired features have yet to be implemented. Furthermore, the study discovered seven critical incidents that have affected the project including e.g., lack of information sharing and communication, and Olympic partnership issues. This is the first study to explore the factors affecting the implementation project of the AI-based evaluation system (Judging Support System) in artistic gymnastics. Theoretical findings of this study include discovering that the implementation phases of AI-based systems appear to be similar to those of non-AI-based systems. Additionally, this study discovered the importance of justifying the need for AI-based systems in organizations and explored the necessity of information sharing and open communication during the development and implementation phases of information system implementation projects.Description
Thesis advisor
Penttinen, EskoKeywords
artificial intelligence, information system implementation, status quo bias, user resistance