Literature DB >> 32387819

Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF.

Hailiang Wang1, Da Tao2, Na Yu3, Xingda Qu4.   

Abstract

BACKGROUND: Healthcare wearable devices (HWDs) enable continuous monitoring of consumers' health signals and have great potential to improve the efficiency and quality of healthcare. However, factors influencing consumer acceptance of HWDs are not well understood. Moreover, extant studies seem to fail to consider whether an HWD has appropriate functions to fit the requirements of consumers' healthcare activities.
OBJECTIVES: The objective of this study was to develop and empirically test a model by integrating the Unified Theory of Acceptance and Usage of Technology (UTAUT) and Task-Technology Fit (TTF) models to understand how consumers accept HWDs.
METHODS: A self-administered questionnaire was designed based on validated measurement scales. Data from 406 valid samples were analyzed using partial least squares structural equation modeling.
RESULTS: The results indicated that performance expectancy, effort expectancy, facilitating conditions, social influence, and task-technology fit positively affected consumers' behavioral intention to use HWDs, and together accounted for 68.0 % of its variance. Both task and technology characteristics were significant determinants of task-technology fit and exerted impacts on behavioral intention through the mediating roles of task-technology fit and effort expectancy.
CONCLUSIONS: The key findings showed that consumer acceptance of HWDs was affected by both users' perceptions (i.e., performance expectancy, effort expectancy, social influence and facilitating conditions) and the task-technology fit. The theoretical and practical implications and contributions were provided for future researchers and practitioners to increase consumers' use of HWDs in their healthcare activities.
Copyright © 2020 Elsevier B.V. All rights reserved.

Keywords:  Healthcare wearable device; Task technology fit; Technology acceptance; UTAUT

Year:  2020        PMID: 32387819     DOI: 10.1016/j.ijmedinf.2020.104156

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  20 in total

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8.  Patients' perceptions of teleconsultation during COVID-19: A cross-national study.

Authors:  Patricia Baudier; Galina Kondrateva; Chantal Ammi; Victor Chang; Francesco Schiavone
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9.  Mobile learning acceptance in social distancing during the COVID-19 outbreak: The mediation effect of hedonic motivation.

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Journal:  Hum Behav Emerg Technol       Date:  2021-05-24

10.  Informal Dementia Caregivers: Current Technology Use and Acceptance of Technology in Care.

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Journal:  Int J Environ Res Public Health       Date:  2021-03-19       Impact factor: 3.390

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