Identifying the Antecedents of University Students’ Usage Behaviour of Fitness Apps

The purpose of the study is to explore the antecedents of university students’ fitness application usage behaviours by combining the theory of planned behaviour and the technology acceptance model. An anonymous questionnaire survey was adopted to address the objectives of the study. Purposive and sn...

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Main Authors: Jo-Hung Yu, Gordon Chih-Ming Ku, Yu-Chih Lo, Che-Hsiu Chen, Chin-Hsien Hsu
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/16/9043
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spelling doaj-02b9d2f48c7e4700b566ba1ab76c9fc52021-08-26T14:21:51ZengMDPI AGSustainability2071-10502021-08-01139043904310.3390/su13169043Identifying the Antecedents of University Students’ Usage Behaviour of Fitness AppsJo-Hung Yu0Gordon Chih-Ming Ku1Yu-Chih Lo2Che-Hsiu Chen3Chin-Hsien Hsu4Department of Marine Leisure Management, National Kaohsiung University of Science and Technology, Kaohsiung 811213, TaiwanDepartment of Sport Management, National Taiwan University of Sport, Taichung 404401, TaiwanDepartment of Leisure Industry Management, National Chin-Yi University of Technology, Taichung 411030, TaiwanDepartment of Sports Performance, National Taiwan University of Sport, Taichung 404401, TaiwanDepartment of Leisure Industry Management, National Chin-Yi University of Technology, Taichung 411030, TaiwanThe purpose of the study is to explore the antecedents of university students’ fitness application usage behaviours by combining the theory of planned behaviour and the technology acceptance model. An anonymous questionnaire survey was adopted to address the objectives of the study. Purposive and snowball sampling was used to select eligible students from six universities in Zhanjiang City. An online survey was used to collect data from 634 eligible subjects, and partial least squares structural equation modelling was used to analyse the collected data. The results indicated that the students’ perceived usefulness (<i>β</i> = 0.17, <i>p</i> < 0.05) and perceived ease of use (<i>β</i> = 0.32, <i>p</i> < 0.05) concerning the application and their attitude (<i>β</i> = 0.31, <i>p</i> < 0.05) toward it significantly influenced their usage intentions. Furthermore, perceived usefulness (<i>β</i> = 0.11, <i>p</i> < 0.05) and perceived ease of use (<i>β</i> = 0.38, <i>p</i> < 0.05) fully mediated the relationship between subjective norms and usage intentions. However, subjective norms and perceived behavioural control did not enhance the students’ intentions to use fitness applications. That is, students’ attitudes and fitness application design are the determinants of usage intention. Accordingly, improving students’ fitness applications usage intention requires strategies that involve customised services, social networking, and collaboration with schools; this would further increase students’ engagement in physical exercise.https://www.mdpi.com/2071-1050/13/16/9043behavioural modelfitness appspartial least squares structural equation modellingtechnology acceptance modeltheory of planned behaviourbehavioural intentions
collection DOAJ
language English
format Article
sources DOAJ
author Jo-Hung Yu
Gordon Chih-Ming Ku
Yu-Chih Lo
Che-Hsiu Chen
Chin-Hsien Hsu
spellingShingle Jo-Hung Yu
Gordon Chih-Ming Ku
Yu-Chih Lo
Che-Hsiu Chen
Chin-Hsien Hsu
Identifying the Antecedents of University Students’ Usage Behaviour of Fitness Apps
Sustainability
behavioural model
fitness apps
partial least squares structural equation modelling
technology acceptance model
theory of planned behaviour
behavioural intentions
author_facet Jo-Hung Yu
Gordon Chih-Ming Ku
Yu-Chih Lo
Che-Hsiu Chen
Chin-Hsien Hsu
author_sort Jo-Hung Yu
title Identifying the Antecedents of University Students’ Usage Behaviour of Fitness Apps
title_short Identifying the Antecedents of University Students’ Usage Behaviour of Fitness Apps
title_full Identifying the Antecedents of University Students’ Usage Behaviour of Fitness Apps
title_fullStr Identifying the Antecedents of University Students’ Usage Behaviour of Fitness Apps
title_full_unstemmed Identifying the Antecedents of University Students’ Usage Behaviour of Fitness Apps
title_sort identifying the antecedents of university students’ usage behaviour of fitness apps
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-08-01
description The purpose of the study is to explore the antecedents of university students’ fitness application usage behaviours by combining the theory of planned behaviour and the technology acceptance model. An anonymous questionnaire survey was adopted to address the objectives of the study. Purposive and snowball sampling was used to select eligible students from six universities in Zhanjiang City. An online survey was used to collect data from 634 eligible subjects, and partial least squares structural equation modelling was used to analyse the collected data. The results indicated that the students’ perceived usefulness (<i>β</i> = 0.17, <i>p</i> < 0.05) and perceived ease of use (<i>β</i> = 0.32, <i>p</i> < 0.05) concerning the application and their attitude (<i>β</i> = 0.31, <i>p</i> < 0.05) toward it significantly influenced their usage intentions. Furthermore, perceived usefulness (<i>β</i> = 0.11, <i>p</i> < 0.05) and perceived ease of use (<i>β</i> = 0.38, <i>p</i> < 0.05) fully mediated the relationship between subjective norms and usage intentions. However, subjective norms and perceived behavioural control did not enhance the students’ intentions to use fitness applications. That is, students’ attitudes and fitness application design are the determinants of usage intention. Accordingly, improving students’ fitness applications usage intention requires strategies that involve customised services, social networking, and collaboration with schools; this would further increase students’ engagement in physical exercise.
topic behavioural model
fitness apps
partial least squares structural equation modelling
technology acceptance model
theory of planned behaviour
behavioural intentions
url https://www.mdpi.com/2071-1050/13/16/9043
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