Results 71 to 80 of about 5,022 (165)

Acceptance, needs and demands of e-mental health interventions in adolescent elite athletes. [PDF]

Discov Ment Health
Geiger S, Viehweger S, Nguyen VTM, Seitz J, Gradl-Dietsch G, Muehlbauer T, Paslakis G, Skoda EM, Teufel M, Bäuerle A, Esser-Seraphin AJ.   +10 more
europepmc   +1 more source

Acceptance of Electronic Medical Records Among Practitioner Nurses and Nurse Managers Using the UTAUT Framework in Hospital Settings: A Scoping Review. [PDF]

J Multidiscip Healthc
Liana Y, Agustina HR, Yudianto K.
europepmc   +1 more source

Factors influencing large language model adoption among dental students: a cross-sectional study. [PDF]

Sci Rep
Joseph AM, Almutairi RE, Alrashidi WA, Almutairi RM, Theeban Y, Aldhuwayhi S, Altuwalah A, Mustafa MZ, Thakare AA, Jayakumar S, Joseph A, Mallineni SK.   +11 more
europepmc   +1 more source

Understanding AI adoption through expert discourse: A UTAUT-based analysis on LinkedIn. [PDF]

PLoS One
Yari A, Taghavifard MT, Vanani IR.
europepmc   +1 more source

Users' intentions to use medical escort service platforms: Based on technology trust and psychological resistance. [PDF]

iScience
Xu H, Lee JY, Sun X, Lee MK, Liu Y.
europepmc   +1 more source

Beyond willingness: unpacking pharmacists' adoption of AI-driven clinical decision support systems through an extended UTAUT framework. [PDF]

Front Public Health
Xie Y, Song Z, Wang E, Li P, Wang J.
europepmc   +1 more source

Analyzing the Use and extensions of UTAUT Model

, 2012
In the investigation that is being developed, one of the important aspects is to know and adopt/ nominate/choose one of the existing models that explains the adoption and use by individuals of a new technology, in an organization. Of the various models that exists in the literature, UTAUT is our choice.
openaire   +1 more source

Determinants of the Public's Behavioral Intention to Adopt AI-Assisted Lung Cancer Screening: An Extended UTAUT Model Integrating Trust and Risk. [PDF]

Healthcare (Basel)
Yan L, Bai X, Lin X, Lai J, Sun S, Chen H, Liu R, Hu R.   +7 more
europepmc   +1 more source

A mixed-methods study evaluating student acceptance of artificial intelligence-generated content for sustainable personalized learning in Chinese higher education. [PDF]

Sci Rep
Xiong Z, Huang Q.
europepmc   +1 more source

Acceptance of Artificial Intelligence in Clinical Practice Among Chinese Physicians: Nationwide Cross-Sectional Survey Using Extended Unified Theory of Acceptance and Use of Technology and Explainable Machine Learning. [PDF]

JMIR Med Inform
Shi X, Tian Z, Guo Q, Qiao B, Wang X.
europepmc   +1 more source