Adoption model of healthcare wearable devices

Kun-Huang Huarng, Tiffany Hui-Kuang Yu and Cheng fang Lee

Technological Forecasting and Social Change, 2022, vol. 174, issue C

Abstract: The progressive advances in the fifth-generation standard for cellular networks have led to innovations in the artificial intelligence of things, which have changed the layout of the medical industry. The applications of wearable medical devices and services are under continual expansion. Key factors influencing intention to use (e.g., economic burden, data privacy, perceived ease of use, and perceived usefulness) require further investigation. In the present study, the participants were surveyed by questionnaire, and path analysis was used to examine causality. The results revealed that intention to adopt was likely to be higher for wearable medical devices that offered high data privacy, had high perceived ease of use, and provided reliable data (with regard to accurate references for physical health). Conversely, the economic burden imposed by wearable medical devices and services was likely to reduce intention to adopt. Therefore, the payment mechanism warrants cautious evaluation.

Keywords: Path analysis; Survey; Technology acceptance model (TAM) (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:174:y:2022:i:c:s0040162521007204

DOI: 10.1016/j.techfore.2021.121286

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