2022
DOI: 10.3390/su14159720
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An Empirical Study of the Factors Influencing User Behavior of Fitness Software in College Students Based on UTAUT

Abstract: Only one decade since the emergence of the first sports-related mobile app, although there is a large amount of fitness software, the quality is uneven, and some people still have concerns about whether to use fitness software. College students account for a large proportion of the number of people using fitness software; through empirical research on the factors affecting the use of fitness software, it is of great significance to further promote people’s healthy behavior. This study investigates the factors … Show more

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Cited by 7 publications
(4 citation statements)
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“…After including gender as a moderating variable, a significant difference between genders was observed. While gender has been previously included as a moderating variable in the field of online fitness based on structural equation modeling [ 71 ], it primarily focused on empirical research concerning the factors influencing users’ behavior in using fitness software. Our result is consistent with the previous findings, which also affirms the moderating role of gender.…”
Section: Discussionmentioning
confidence: 99%
“…After including gender as a moderating variable, a significant difference between genders was observed. While gender has been previously included as a moderating variable in the field of online fitness based on structural equation modeling [ 71 ], it primarily focused on empirical research concerning the factors influencing users’ behavior in using fitness software. Our result is consistent with the previous findings, which also affirms the moderating role of gender.…”
Section: Discussionmentioning
confidence: 99%
“…In 2003, Venkatesh V et al proposed on the basis of eight theories. Its initial role is to provide a set of acceptance prediction criteria for managers to evaluate the introduction of a new technology, and then developed into a theory for studying the acceptance intention and use behavior of information system users [10].…”
Section: Methodsmentioning
confidence: 99%
“…For B3, the perceived value indicator, we measured the financial cost (H7) and privacy cost (H8) based totally on the evaluation by San et al, who focused on the effects of the perceived advantages and perceived dangers of people’s transactional conduct [ 46 , 47 , 48 ]. To measure B4 (personal motivation indicator), we applied the scale developed by Park et al and set three measures: health concerns (H9), outcome expectations (H10), and social influence (H11) [ 49 , 50 , 51 ].…”
Section: Methodsmentioning
confidence: 99%