Continuance usage intention model of physical activity tracking technology

In eHealth, physical activity (PA) tracking technology exists that can assist people in monitoring their PAs. However, long-term use is the cornerstone of information technology (IT) product and service success; otherwise, it is a failure. Then, persistence becomes a factor of concern and it fades a...

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Main Author:	Wanichavorapong, Nittee
Format:	Thesis
Language:	English
Published:	2019
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/96270/1/NitteeWanichavorapongPSC2019.pdf.pdf
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id	my-utm-ep.96270
record_format	uketd_dc
spelling	my-utm-ep.962702022-07-05T07:48:37Z Continuance usage intention model of physical activity tracking technology 2019 Wanichavorapong, Nittee QA75 Electronic computers. Computer science In eHealth, physical activity (PA) tracking technology exists that can assist people in monitoring their PAs. However, long-term use is the cornerstone of information technology (IT) product and service success; otherwise, it is a failure. Then, persistence becomes a factor of concern and it fades away over time. There is limited knowledge of information system (IS) continuance in this domain called PA tracking devices and apps (PATDA). Prior IS continuance research has no suitable models that can explain continuance intention (CI) of PATDA. The aim of this study is to build a model that predicts users to continue using PATDAs. This study also demonstrated the use of expectation-confirmation model (ECM), Network externalities (NE), and Value-based factors to understand CI of PATDA. Through data collection, a survey method was carried out among PATDA Singaporean users. The proposed model has been tested for reliability and validity using a Structural Equation Modelling (SEM) method. The results exhibited that all the ECM constructs had statistically significant impacts on CI. However, Social Value (SS) had rather an insignificant correlation with CI. Referent Network Size (RNS) also received an insignificant association with Usefulness. Besides, the analysis showed many of the constructs clustered in the group that yielded high performance and importance, including Satisfaction, Utilitarian, Confirmation, Hedonic, Complementarity, and Usefulness. Referent Network Size arrived in the middle between Social Value, which is rated as insufficient on performance and importance and the outstanding group. The research model can be functioning as a guideline to increase the understanding regarding the CI of a PATDA. By applying the evaluation result of identified factors, stakeholders can embrace a range of benefits from PA tracking technology in connection with research, product features, and usage. 2019 Thesis http://eprints.utm.my/id/eprint/96270/ http://eprints.utm.my/id/eprint/96270/1/NitteeWanichavorapongPSC2019.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:143283 phd doctoral Universiti Teknologi Malaysia Faculty of Engineering - School of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Wanichavorapong, Nittee Continuance usage intention model of physical activity tracking technology
description	In eHealth, physical activity (PA) tracking technology exists that can assist people in monitoring their PAs. However, long-term use is the cornerstone of information technology (IT) product and service success; otherwise, it is a failure. Then, persistence becomes a factor of concern and it fades away over time. There is limited knowledge of information system (IS) continuance in this domain called PA tracking devices and apps (PATDA). Prior IS continuance research has no suitable models that can explain continuance intention (CI) of PATDA. The aim of this study is to build a model that predicts users to continue using PATDAs. This study also demonstrated the use of expectation-confirmation model (ECM), Network externalities (NE), and Value-based factors to understand CI of PATDA. Through data collection, a survey method was carried out among PATDA Singaporean users. The proposed model has been tested for reliability and validity using a Structural Equation Modelling (SEM) method. The results exhibited that all the ECM constructs had statistically significant impacts on CI. However, Social Value (SS) had rather an insignificant correlation with CI. Referent Network Size (RNS) also received an insignificant association with Usefulness. Besides, the analysis showed many of the constructs clustered in the group that yielded high performance and importance, including Satisfaction, Utilitarian, Confirmation, Hedonic, Complementarity, and Usefulness. Referent Network Size arrived in the middle between Social Value, which is rated as insufficient on performance and importance and the outstanding group. The research model can be functioning as a guideline to increase the understanding regarding the CI of a PATDA. By applying the evaluation result of identified factors, stakeholders can embrace a range of benefits from PA tracking technology in connection with research, product features, and usage.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Wanichavorapong, Nittee
author_facet	Wanichavorapong, Nittee
author_sort	Wanichavorapong, Nittee
title	Continuance usage intention model of physical activity tracking technology
title_short	Continuance usage intention model of physical activity tracking technology
title_full	Continuance usage intention model of physical activity tracking technology
title_fullStr	Continuance usage intention model of physical activity tracking technology
title_full_unstemmed	Continuance usage intention model of physical activity tracking technology
title_sort	continuance usage intention model of physical activity tracking technology
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Engineering - School of Computing
publishDate	2019
url	http://eprints.utm.my/id/eprint/96270/1/NitteeWanichavorapongPSC2019.pdf.pdf
_version_	1747818653902962688

Continuance usage intention model of physical activity tracking technology

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