The Relationship Between General Attitudes of Sports Managers in Fitness Centers Towards Artificial Intelligence and Their Intrinsic Motivation: The Case of the Marmara Region

Abstract

This study aims to examine the relationship between the general attitudes of sports managers in fitness centers towards artificial intelligence and their intrinsic motivation. The research was conducted using the relational survey model. A total of 394 participants, including 133 women and 264 men, were voluntarily selected using the convenience sampling method among sports managers working in fitness centers in the Marmara Region.
The data for the study were collected using the "General Attitude Towards Artificial Intelligence Scale", developed by Schepman and Rodway (2020) and adapted into Turkish by Kaya et al. (2022), the "Intrinsic Motivation Scale for Employees", developed by Bardak and Nihal (2023), and a "Personal Information Form".
For data analysis, t-tests, ANOVA, and Pearson correlation analysis techniques were used. The findings revealed that attitudes towards artificial intelligence showed significant differences based on gender, marital status, age, education level, and income level, whereas intrinsic motivation only showed a significant difference in relation to age. No significant differences were found in intrinsic motivation concerning other demographic variables.
Additionally, a low-level negative significant relationship was identified between attitudes towards artificial intelligence and intrinsic motivation. As a result, it can be stated that intrinsic motivation negatively influences attitudes towards artificial intelligence, albeit at a low level.