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. 2019 Sep 24;7(1):8099.
doi: 10.4081/hpr.2019.8099. eCollection 2019 Mar 11.

Smart technology for healthcare: Exploring the antecedents of adoption intention of healthcare wearable technology

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Smart technology for healthcare: Exploring the antecedents of adoption intention of healthcare wearable technology

Ka Yin Chau et al. Health Psychol Res. .

Abstract

Technological advancement and personalized health information has led to an increase in people using and responding to wearable technology in the last decade. These changes are often perceived to be beneficial, providing greater information and insights about health for users, organizations and healthcare and government. However, to date, understanding the antecedents of its adoption is limited. Seeking to address this gap, this cross-sectional study examined what factors influence users' adoption intention of healthcare wearable technology. We used self-administrated online survey to explore adoption intentions of healthcare wearable devices in 171 adults residing in Hong Kong. We analyzed the data by Partial least squares - structural equation modelling (PLS-SEM). The results reveal that perceived convenience and perceived irreplaceability are key predictors of perceived usefulness, which in turn strengthens users' adoption intention. Additionally, the results also reveal that health belief is one of the key predictors of adoption intention. This paper contributes to the extant literature by providing understanding of how to strengthen users' intention to adopt healthcare wearable technology. This includes the strengthening of perceived convenience and perceived irreplaceability to enhance the perceived usefulness, incorporating the extensive communication in the area of healthcare messages, which is useful in strengthening consumers' adoption intention in healthcare wearable technology.

Keywords: Adoption intention; Healthcare wearable technology; perceived Hong Kong; technical attributes.

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Conflict of interest statement

Conflict of interest: the authors declare no potential conflict of interest.

Figures

Figure 1.
Figure 1.
Research model.
Figure 2.
Figure 2.
Results of the research model. Paths significant at + p<.10, * p<.05, ** p<.01, *** p<.001.

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