Liu YY, Lu HP, Chen CS. Which are the vital factors of mobile personal health records applications that promote continued usage? A perspective on technology fit and social capital.
Digit Health 2023;
9:20552076231181216. [PMID:
37325070 PMCID:
PMC10262675 DOI:
10.1177/20552076231181216]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 05/24/2023] [Indexed: 06/17/2023] Open
Abstract
Introduction
With the widespread use of mobile devices and the rapid development of mobile networks, connecting mobile personal health record (mPHR) apps to wearable devices to collect personal health data for analysis and community activities has become a trend for health promotion. Therefore, the present study aims to explore the vital factors that impact the sustained usage of mPHR apps.
Objective
In this study, we identified social lock-in as a major research gap in the current era of social media and the Internet. Therefore, to explore the effects of mPHR apps on continued app usage intention, we combined technology fit (individual-technology, synchronicity-technology, and task-technology fit) and social capital (structural, relational, and cognitive capital) to develop a novel study model.
Methods
The purpose of this research is to investigate the willingness to participate in the mPHR apps. It collected 565 valid users' responses through the online questionnaire with a structural equation modeling approach.
Results
That technology and social lock-in significantly affected the willingness of users to continue using mPHR apps (β = 0.38, P < 0.001) and that the effects of social lock-in (β = 0.38, P < 0.001) were more pronounced than those of technology lock-in (β = 0.22, P < 0.001).
Conclusions
The technology and social lock-in generated by technology fit and social capital had positive effects on continued app usage and the effects of both types of lock-in on continued app usage varied among different participant groups.
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