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Xiang, Qianyu (2022) Examining patients' acceptance and trust in digital health during COVID-19 using PLS-SEM. [Dissertation (University of Nottingham only)]

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Abstract

The sudden COVID-19 outbreak has raised awareness of the importance and benefits of digital health. To gain insight into patient acceptance and trust in the use of digital healthcare in the context of a pandemic, this study extends a new model based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), with new variables on trust, in the context of the healthcare industry. The questionnaire was then released to consumers with the experience of using digital health, and the 123 data collected were analysed using variance-based partial least squares (PLS-SEM) in a Smart PLS 4.0 environment.

The results show that effort expectancy, social influence, performance expectancy, facilitating condition, and trust significantly positively impact patients' use of digital healthcare. These findings have theoretical and practical implications for research on digital healthcare and can inform the management of some stakeholders.

Item Type:	Dissertation (University of Nottingham only)
Depositing User:	Xiang, Qianyu
Date Deposited:	06 Jul 2023 12:29
Last Modified:	06 Jul 2023 12:29
URI:	https://eprints.nottingham.ac.uk/id/eprint/70523

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