International Journal of Innovation and Technology Management,
Journal Year:
2023,
Volume and Issue:
20(08)
Published: June 23, 2023
This
study
aims
to
identify
the
acceptance
of
Internet
Things
(IoT)
technologies,
by
medical
care
providers,
in
healthcare
institutions
Nineveh
Governorate.
The
uses
deductive
approach
through
Technology
Acceptance
Model
(TAM2).
survey
was
conducted
using
an
electronic
questionnaire
prepared
based
on
several
studies
this
field.
data
population
included
physicians,
dentists,
and
pharmacists
with
sample
size
being
341.
Structural
equation
modeling
used
test
hypotheses
study.
results
revealed
that
job
relevance
result
demonstrability
have
a
significant
impact
perceived
usefulness
IoT
technology
field,
whereas,
relevance,
output
quality,
ease
use,
subjective
norms
no
direct
technology.
Furthermore,
participant-perceived
benefit
does
not
significantly
influence
behavioral
intent.
Advances in educational technologies and instructional design book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 153 - 178
Published: Jan. 3, 2025
The
concept
of
Artificial
Intelligence
(AI),
which
was
first
used
in
the
1950s,
can
perform
tasks
that
require
human
intelligence
by
using
various
algorithms
and
computer
programs.
This
chapter
aims
to
evaluate
AI
tools
be
universities.
Firstly,
universities
were
researched
from
literature,
then
Fuzzy
Multi-Criteria
Decision
Making
applied
determine
these
should
prioritized.
Five
criteria
(perceived
ease
use,
perceived
usefulness,
personalization,
interaction,
trust)
obtained
expert
opinions
literature
weighted
determined
as
alternatives
numbers,
presented
Zadeh
1965,
aid
decision-making
because
it
is
frequently
impossible
utilize
precise
formulations
during
evaluations.
Since
extensions
fuzzy
numbers
have
been
developed
integrated
into
multi
decision
making
methods.
method
this
study
also
with
use
intuitionistic
numbers.
BACKGROUND
EHealth
can
help
healthcare
service
users
take
a
more
active
role
in
decision-making
and
professionals
guide
the
patient
this
process.
Even
though
usability
health
literacy
strategies
should
development
of
mHealth
apps,
number
digital
apps
publishing
their
evaluation
results
is
still
small
OBJECTIVE
The
aim
study
was
to
explore
perceptions
EMAeHealth
app
about
its
acceptance,
usability,
strengths
weaknesses
for
implementation.
METHODS
This
an
exploratory
sequential
mixed-method
research
study,
where
qualitative
followed
by
quantitative
study.
Qualitative
were
collected
through
individual
semi-structured
interviews
between
January
March
2024.
Participants
identified
purposive
sampling.
Saturation
reached
once
10
had
been
carried
out.
In
part,
106
out
400
responded
anonymous
online
survey
created
ad
hoc
December
2024
based
on
RESULTS
Two
categories
drawn
up
during
analysis:
(1)
“The
best
thing
app”,
with
accessibility,
quantity,
quality,
good
organization
information
credibility
source
among
reasons
positive
evaluation.
(2)
“What
could
be
improved”:
here,
participants
considered
potential
become
essential
if
new
functions
related
provision
incorporated
linking
it
records,
as
well
making
individualized
some
different
aspects
such
receiving
notifications.
Women
commented
lack
opportunities
share
experiences
other
women
same
situation
consequently
opportunity
develop
networks.
gave
similar
results,
both
assessments
areas
improvement
CONCLUSIONS
Although
value
accessibility
reliability
designed
public
positively,
seen,
combination
intervention
face-to-face
care
and,
above
all,
individualization
adaptation
information,
notifications
or
recommendations
culture,
situation,
stage
each
woman
PeerJ Computer Science,
Journal Year:
2025,
Volume and Issue:
11, P. e2773 - e2773
Published: March 27, 2025
Background
The
healthcare
sector
is
experiencing
rapid
digital
advancements,
with
patients
increasingly
seeking
quick
and
seamless
interactions.
Artificial
intelligence
(AI)-driven
chatbots
are
becoming
an
integral
part
of
elderly
care,
transforming
provider-patient
engagement
supporting
health
behavior
goals
tailored
to
individual
preferences,
needs,
limitations.
Methods
This
study
developed
a
comprehensive
research
framework
incorporating
various
theoretical
perspectives
explore
the
determinants
sustained
use
AI-powered
among
older
adults.
also
examined
mediating
influence
perceived
humanness.
model
was
evaluated
using
partial
least
squares
structural
equation
modeling
(PLS-SEM)
on
cross-sectional
data
collected
from
158
individuals
aged
60
above.
Results
findings
show
that
satisfaction
significantly
influenced
by
facilitating
conditions,
hedonic
motivation,
confirmation,
performance
expectancy,
effort
expectancy.
Perceived
security
plays
critical
role
in
shaping
intention
continue
these
chatbots.
Moreover,
analysis
revealed
humanness
mediates
relationship
between
continuous
intentions
users
Saudi
Arabia.
Discussion
provides
valuable
insights
into
factors
influencing
adults’
acceptance
AI
Arabia,
particularly
post-COVID-19
era.
These
enrich
academic
discourse
offer
actionable
recommendations
for
organizations
adapting
evolving
landscape.
International Journal For Multidisciplinary Research,
Journal Year:
2024,
Volume and Issue:
6(3)
Published: June 2, 2024
This
article
uses
an
empirical
investigation
to
evaluate
self-efficacy
and
perceived
ease
of
use
as
factors
that
will
determine
the
successful
adoption
health
information
system
in
institutions,
using
Nigeria
a
case
study.
The
is
application
technology
enable
promote
care
services
provision,
support
delivery.
Utilizing
DeLone
McLean
model
construct
from
TAM
(Technology
Acceptance
Model),
focus
on
which
are
tested
with
(intention
to)
Use
find
correlation,
consider
them
determinant
readiness
adopt
healthcare
environment.
Results
findings
reveal
have
effect
intention
actual
HIS.
Health
practitioners
should
be
trained
how
utilize
order
improve
their
attitudes
perceptions
towards
it.
Doing
this
increase
zeal
make
it
habitual
for
system,
hence
better
goals
attained.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 18, 2024
Abstract
This
qualitative
inquiry
explores
the
initial
impressions
and
firsthand
encounters
of
healthcare
professionals
(HCPs)
with
ChatGPT,
a
Generative
Pre-trained
Transformer,
within
Pediatric
Intensive
Care
Units
(PICUs).
Through
focus
group
discussions
held
at
tertiary
academic
center,
diverse
cadre
HCPs
was
engaged
to
ascertain
their
awareness,
utilization
patterns,
perceived
advantages,
apprehensions
regarding
ChatGPT.
The
analysis
revealed
three
primary
themes:
understanding
ease
use
its
practical
applications
in
clinical
workflows
for
critically
ill
children
information
retrieval,
ethical
considerations
associated
deployment.
While
participants
praised
ChatGPT
engaging
interface
potential
streamline
tasks
provide
prompt
information,
notable
reservations
surfaced
limitations,
particularly
medical
accuracy,
currency
data,
implications.
findings
suggest
cautious
optimism
towards
integrating
Artificial
Intelligence
(GAI),
like
pediatric
critical
care,
highlighting
need
balanced,
informed,
transparent
applications,
ongoing
evaluation
GAI
technologies
settings.
Journal of Logistics Informatics and Service Science,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 11, 2024
This
study
investigates
the
factors
influencing
adoption
of
chatbots
by
Moroccan
bank
customers
using
an
adapted
version
Unified
Theory
Acceptance
and
Use
Technology
(UTAUT)
model.The
model
incorporates
additional
variables
such
as
perceived
playfulness
usefulness,
which
are
considered
relevant
to
context
chatbot
in
banking
sector.A
quantitative
survey
was
conducted
among
390
customers,
data
were
analyzed
Partial
Least
Squares
Structural
Equation
Modeling
(PLS-SEM).The
results
indicate
that
social
influence,
expected
effort,
have
significant
positive
effects
on
customers'
intention
use
chatbots,
while
usefulness
does
not.The
findings
also
reveal
has
a
impact
actual
chatbots.Moreover,
highlights
moderating
age
gender
relationship
between
influence
use.The
contributes
growing
literature
sector
provides
valuable
insights
for
banks
looking
enhance
customer
engagement
through
artificial
intelligence.However,
acknowledges
limitations
convenience
sampling
approach
need
further
research
incorporating
broader
range
segments.
puntOorg International Journal,
Journal Year:
2024,
Volume and Issue:
1(1)
Published: June 14, 2024
We
present
a
scoping
review
that
considers
25
papers
and
explores
the
growing
phenomenon
of
use
chatbots,
in
context
help-seeking
dynamics
among
workers
facing
work-related
challenges.
This
is
significant
from
both
social
technological
perspectives,
as
it
raises
essential
questions
about
evolving
role
technology
shaping
way
individuals
seek
help
changing
work
environment.
Our
study
aims
to
examine
how
technology,
such
shape
employees
practices
behaviors,
using
Socio-Technical
System
approach
(STS).
analysis
reveals
comes
mainly
"social
subsystem".
In
fact,
starts
with
individual
needs
willingness
help,
influenced
by
personal
group
characteristics.
The
environment
also
significantly
influence
employees'
behaviors.
However,
developments,
new
ways
work,
organizational
transformations
are
redefining
processes,
requiring
development
for
which
leaders
play
crucial
role.
integration
chatbots
into
this
landscape
introduces
challenges
opportunities,
impacting
not
only
but
structure.
Based
on
reviewed
we
directions
future
research
AI-driven
help-seeking.
