Title | ||
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Understanding The Emergence Of Wearable Devices As Next-Generation Tools For Health Communication |
Abstract | ||
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Purpose - The purpose of this paper is to identify motivational factors for using wearable healthcare devices and examine the process by which these factors are integrated with the technology acceptance model (TAM) and contribute to the adoption of the devices.Design/methodology/approach - An online survey assessed the proposed motivational factors for the adoption of wearable healthcare devices. Confirmatory factor analysis and structural equation modeling were conducted on collected data (n = 877) to demonstrate the reliability and validity of the measurement and structural model.Findings - Perceived control and interactivity of wearable healthcare devices as well as users' innovative tendencies are positively associated with usage intention, while perceived cost has no significant effects on user intention to use the devices. The results also supported the explanatory strength and predictability of TAM.Originality/value - Although the promising role of wearable devices in healthcare industries has gained much consumer attention, limited empirical investigations have been conducted on explicating how user attitude and usage intention are shaped regarding the devices. This study serves as one of the first attempts to empirically examine the adoption process, with implications for the future usage of wearable technology in the healthcare context. |
Year | DOI | Venue |
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2016 | 10.1108/ITP-04-2015-0096 | INFORMATION TECHNOLOGY & PEOPLE |
Keywords | Field | DocType |
Health communication, Technology acceptance model, Wearable device | Health care,Interactivity,Structural equation modeling,Wearable computer,Confirmatory factor analysis,Technology acceptance model,Knowledge management,Engineering,Wearable technology,Health communication | Journal |
Volume | Issue | ISSN |
29 | 4 | 0959-3845 |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Eunil Park | 1 | 254 | 25.91 |
Ki Joon Kim | 2 | 141 | 14.12 |
Sang Jib Kwon | 3 | 10 | 2.17 |