An Analysis of the Acceptance and Non-Acceptance of Sports Applications by Professional Athletes Using the Logit Binary Model

Document Type : Research Paper

Authors

1 Ph.D. Student in Sports Management, South Tehran Branch, Islamic Azad University, Tehran, Iran.

2 Associate Professor of Sports Management, South Tehran Branch, Islamic Azad University, Tehran, Iran.

3 Assistant Professor of Sports Management, South Tehran Branch, Islamic Azad University, Tehran, Iran.

Abstract

The present research was conducted with the aim of analyzing 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 running; A specific and statistical number of 402 people was selected using J Power software and simple random sampling method. 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, usage 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 or non-acceptance rate.

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Main Subjects

References

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History

  • Receive Date: 08 June 2022
  • Revise Date: 31 July 2022
  • Accept Date: 28 August 2022

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