Mina Shakorian; Reza Nilbaksh; Taybeh Zargar
Abstract
The present research was conducted with the aim of analyzing the phenomenon of acceptance and non-acceptance of sports applications by professional athletes using the binary logit model. The current research method was practical. The statistical community of this research was made up of all the users ...
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The present research was conducted with the aim of analyzing the phenomenon of acceptance and non-acceptance of sports applications by professional athletes using the binary logit model. The current research method was practical. The statistical community of this research was made up of all the users of the Strava application in Iran who were active in both cycling and athletics. became. The tool for collecting information in this research was a researcher-made questionnaire. Descriptive and inferential statistical methods were used to analyze the data of this research. Mean and standard deviation were used in descriptive statistics. Also, logistic regression test was used in the inferential statistics section. All data analysis process of this research was done using SPSS software. The results of this research showed that, in general, mental image, credit, necessary infrastructure, value, use and credibility are 6 important factors in the acceptance and non-acceptance of sports applications by professional athletes. According to the results, it was found that credit and cost had the greatest impact on acceptance and non-acceptance by athletes. According to the results, it can be determined that the credit factor plays the most important role in predicting the acceptance rate or non-acceptance rate.