The Relationship Between Artificial Intelligence Attitudes and Openness to Organizational Change in Field Hockey Referees

Aim: The aim of this study is to examine the relationship between field hockey referees' attitudes towards artificial intelligence and their openness to organisational change. Methods: In the study, in addition to examining the effect of the scales among themselves, evaluations were made in terms of demographic characteristics by using general attitude towards artificial intelligence and organisational openness to change scales. In this context, the sample group of the study consisted of a total of 112 field hockey referees, 68 male and 44 female, affiliated to the Turkish Hockey Federation. Descriptive survey model was used for the study. In order to obtain the study data, ‘Openness to Organisational Change Scale’ developed by Çalışkan (2022) and ‘General Attitude Towards Artificial Intelligence Scale’ developed by Schepman and Rodway (2020) and adapted into Turkish by Kaya et al., (2022) were applied. Results: As a result of the study, a positive relationship (r=0.716; p

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Publication Details

Journal
International Journal of Sport Exercise & Training Sciences
Published
2024-12-31
DOI
https://doi.org/10.18826/useeabd.1524511
Citations
1
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
0.78
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article

The Relationship Between Artificial Intelligence Attitudes and Openness to Organizational Change in Field Hockey Referees

Yeşim Bayrakdaroğlu, Üstün TÜRKER, Mahir Kaplan, Mustafa Ayhan
1 citations
International Journal of Sport Exercise & Training Sciences
Information and Cyber Security
0.78
article

The Relationship Between Artificial Intelligence Attitudes and Openness to Organizational Change in Field Hockey Referees

Yeşim Bayrakdaroğlu, Üstün TÜRKER, Mahir Kaplan, Mustafa Ayhan
article en
1 citations

Abstract

Aim: The aim of this study is to examine the relationship between field hockey referees' attitudes towards artificial intelligence and their openness to organisational change. Methods: In the study, in addition to examining the effect of the scales among themselves, evaluations were made in terms of demographic characteristics by using general attitude towards artificial intelligence and organisational openness to change scales. In this context, the sample group of the study consisted of a total of 112 field hockey referees, 68 male and 44 female, affiliated to the Turkish Hockey Federation. Descriptive survey model was used for the study. In order to obtain the study data, ‘Openness to Organisational Change Scale’ developed by Çalışkan (2022) and ‘General Attitude Towards Artificial Intelligence Scale’ developed by Schepman and Rodway (2020) and adapted into Turkish by Kaya et al., (2022) were applied. Results: As a result of the study, a positive relationship (r=0.716; p

International Journal of Sport Exercise & Training SciencesVol. 10(4)
Gümüşhane University (TR)
Gender equality
Openalex Percentile: Top 18%
Information and Cyber Security
0.78
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