The determinants of home healthcare robots adoption: An empirical investigation

Highlights • The extended model is capable of providing strong explanatory power for usage intention by explaining 54.5% of the variance. • The adoption of HHRs depends on social influence, performance expectancy, trust, privacy concerns, ethical concerns and facilitating conditions. • Social influe...

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Veröffentlicht in:	International journal of medical informatics (Shannon, Ireland) Ireland), 2014-11, Vol.83 (11), p.825-840
Hauptverfasser:	Alaiad, Ahmad, Zhou, Lina
Format:	Artikel
Sprache:	eng
Schlagworte:	Attitude to Health Emerging technologies Health Personnel - statistics & numerical data Healthcare delivery Home Care Services - organization & administration Home Care Services - utilization Home healthcare Humans Internal Medicine Other Patient Acceptance of Health Care - psychology Patient Acceptance of Health Care - statistics & numerical data Robotics - utilization Robots Technology adoption United States UTAUT model Utilization Review
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Beschreibung
Zusammenfassung:	Highlights • The extended model is capable of providing strong explanatory power for usage intention by explaining 54.5% of the variance. • The adoption of HHRs depends on social influence, performance expectancy, trust, privacy concerns, ethical concerns and facilitating conditions. • Social influence is the strongest predictor for HHRs adoption. • There are differences in preferred tasks for HHRs between home healthcare professionals and patients.
ISSN:	1386-5056 1872-8243
DOI:	10.1016/j.ijmedinf.2014.07.003