Examining Individuals’ Adoption of Healthcare Wearable Devices: An Empirical Study from Privacy Calculus Perspective
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Abstract
Background: Wearable technology has shown the potential of improving healthcare efficiency and reduc-ing healthcare cost. Different from pioneering studies on healthcare wearable devices from technicalperspective, this paper explores the predictors of individuals’ adoption of healthcare wearable devices.Considering the importance of individuals’ privacy perceptions in healthcare wearable devices adoption,this study proposes a model based on the privacy calculus theory to investigate how individuals adopthealthcare wearable devices.Method: The proposed conceptual model was empirically tested by using data collected from a survey.The sample covers 333 actual users of healthcare wearable devices. Structural equation modeling (SEM)method was employed to estimate the significance of the path coefficients.Results: This study reveals several main findings: (1) individuals’ decisions to adopt healthcare wearabledevices are determined by their risk–benefit analyses (refer to privacy calculus). In short, if an individual’sperceived benefit is higher than perceived privacy risk, s/he is more likely to adopt the device. Otherwise,the device would not be adopted; (2) individuals’ perceived privacy risk is formed by health informationsensitivity, personal innovativeness, legislative protection, and perceived prestige; and (3) individuals’perceived benefit is determined by perceived informativeness and functional congruence. The theoreticaland practical implications, limitations, and future research directions are then discussed.
