Journal of Global Information Management,
Год журнала:
2024,
Номер
32(1), С. 1 - 32
Опубликована: Дек. 28, 2024
Despite
the
risks
associated
with
generative
AI
(GenAI)
chatbots,
people
increasingly
use
these
technologies,
which
may
seem
contradictory.
This
study
identified
and
explored
factors
related
to
trust,
perceived
values,
satisfaction,
sustainable
of
GenAI
chatbots.
Relying
on
IS
theories
build
a
stimulus-organism-response
model,
authors
tested
model
using
PLS-SEM
data
from
393
ChatGPT
users.
The
results
show
that
user
competence
autonomy
dramatically
increase
user's
trust
in
ChatGPT,
improves
hedonic
value
(HV),
utilitarian
(UV),
value-in-use,
task-technology
fit
(TTF),
information
accuracy,
knowledge
acquisition,
informativeness,
satisfaction.
In
addition
satisfaction
depends
HV,
UV,
TTF.
sustainability
HV
However,
privacy
concerns,
risks,
awareness
do
not
affect
consumer
trust.
There
is
complete
mediation
between
sustainability,
as
well
sustainability.
Frontiers in Psychology,
Год журнала:
2024,
Номер
15
Опубликована: Июнь 21, 2024
Objective
This
study
aims
to
investigate
the
elderly
digital
engagement
(acceptance
and
utilization
of
technology),
with
a
focus
on
widespread
application
financial
technology:
mobile
banking
(m-banking).
Methods
Guided
by
social
influence
theory,
research
examines
various
dynamics
that
encourage
m-banking
moderating
effects
their
literacy.
Data
was
gathered
online
utilizing
disjunctive
approach
analyzed
using
Partial
Least
Squares
Structural
Equation
Modeling
(PLS-SEM).
Results
The
reveals
both
word-of-mouths
(WOMs)
peer
significantly
elderly’s
perceived
usefulness
platform,
thereby
influencing
engagement.
Additionally,
level
literacy
among
older
adults
found
impact
services.
Interestingly,
negatively
moderates
positive
associations
WOMs
usefulness.
Discussion
These
insights
advance
our
understanding
how
interactions
can
steer
technological
engagement,
particularly
for
silver
generation
diverse
levels
As
society
ages
becomes
increasingly
digitized,
it
is
imperative
promote
foster
more
inclusive
environment.
Technology in Society,
Год журнала:
2024,
Номер
77, С. 102560 - 102560
Опубликована: Апрель 21, 2024
When
we
need
service,
will
soon
be
interacting
with
various
non-human
AI-powered
agents.
In
the
first
phase
of
a
transformation
from
human-to-human
to
human-to-robot
service
encounters,
it
can
also
expected
that
many
us
share
same
robot
in
multi-party
settings
which
several
users
are
present
at
time.
This
setting
is
particularly
challenging
for
when
have
conflicting
demands
what
should
do.
And
conflicts
ubiquitous
human
behavior.
The
study
examines
this
understudied
situation
an
experimental
approach:
robot's
ability
detect
inter-user
was
manipulated
(low
vs.
high)
domestic
(a
kitchen).
results
show
high
conflict-detection
boosted
(1)
perceived
usefulness
and
(2)
overall
evaluations.
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 13
Опубликована: Окт. 16, 2024
Airports
are
an
essential
part
of
the
airline
value
chains.
Artificial
intelligence
(AI)
technologies
widely
used
at
airports;
they
utilize
two
technologies:
face
detection
and
recognition.
The
study
examines
how
passengers'
performance
expectancy
emotions
affect
satisfaction
willingness
to
adopt
AI
service
passengers
via
familiarity.
Based
on
device,
it
uses
acceptance
socio-technical
systems
perspectives;
participants
who
adopted
in
airports
Beijing,
Taipei,
Singapore
have
potential
use
usage
experience
more
than
three
times;
387
completed
questionnaires.
A
model
was
analyzed
using
partial
least
squares
approach;
this
purposed
sampling
collect
data
based
passenger
volume
analysis
by
those
airports,
questionnaires
were
analyzed.
With
rise
innovation
services
can
quickly
complete
boarding
procedures
through
innovative
services.
research
findings
point
out
that
positively
familiarity
with
for
passengers.
innovations
provide
a
change
driver
replace
human
tasks
analytics
applications
airports.
powerful
tool
serve
their
efficiently,
will
collaborate
airlines
AI.
Technology in Society,
Год журнала:
2024,
Номер
77, С. 102559 - 102559
Опубликована: Апрель 22, 2024
Socially
assistive
robots
in
eldercare
settings,
i.e.
'social'
robots,
are
currently
being
promoted
and
studied,
particularly
Japan.
Among
these
studies,
clinical
evaluation
of
their
effectiveness
experimental
research
predominates,
while
studies
that
critically
analytically
describe
relations
between
actors
long-term
care
settings
where
present
growing
but
still
scarce.
In
this
paper,
we
argue
understanding
how
older
adults
facing
the
loss
autonomy
caregivers
interact
with
relational
terms
is
helpful
to
explain
usage
non-usage
of,
eventual
resistance
social
entering
into
settings.
This
why,
order
understand
human
relationships
elder
homes,
paper
combines
a
'script'
approach
'critical
care'
one.
Based
on
content
analysis
unique
set
reports
trials
robot
multiple
facilities
Japan
from
2018
2020,
as
well
interviews
stakeholders
ethnographic
observations
conducted
2022,
answer
two
questions:
1)
do
shape
care?
2)
affect
professionals,
recipients
robots?
We
proceed
discuss
characteristics
emphasised
ethics
examine
them
depth:
positional
temporal
aspects.
Our
major
result
that,
was
easily
adaptable
environments
because
its
position
not
defined,
embedded
clock
time
flow
objective
linear,
which
indicates
some
robot-created
situations
were
seen
problematic
by
Journal of Global Information Management,
Год журнала:
2024,
Номер
32(1), С. 1 - 32
Опубликована: Дек. 28, 2024
Despite
the
risks
associated
with
generative
AI
(GenAI)
chatbots,
people
increasingly
use
these
technologies,
which
may
seem
contradictory.
This
study
identified
and
explored
factors
related
to
trust,
perceived
values,
satisfaction,
sustainable
of
GenAI
chatbots.
Relying
on
IS
theories
build
a
stimulus-organism-response
model,
authors
tested
model
using
PLS-SEM
data
from
393
ChatGPT
users.
The
results
show
that
user
competence
autonomy
dramatically
increase
user's
trust
in
ChatGPT,
improves
hedonic
value
(HV),
utilitarian
(UV),
value-in-use,
task-technology
fit
(TTF),
information
accuracy,
knowledge
acquisition,
informativeness,
satisfaction.
In
addition
satisfaction
depends
HV,
UV,
TTF.
sustainability
HV
However,
privacy
concerns,
risks,
awareness
do
not
affect
consumer
trust.
There
is
complete
mediation
between
sustainability,
as
well
sustainability.
