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.
Economics & Sociology,
Год журнала:
2024,
Номер
17(3), С. 267 - 290
Опубликована: Сен. 1, 2024
The
article
aims
to
understand
individuals'
E-vehicle
purchase
intentions.
It
explores
the
factors
of
Unified
Theory
Acceptance
and
Use
Technology
(UTAUT)
Diffusion
innovation
considering
individual's
environmental
concern
moderating
impact
income
on
intention
purchase.
Data
was
collected
through
survey
method
a
total
322
samples
were
analyzed
using
structure
equation
modelling
determine
significance
affecting
an
ascertain
sensitivity
such
factors.
findings
analysis
mixed;
however,
compatibility
found
be
significant
factor
influencing
study's
can
assist
in
understanding
EV
intentions
Indians
those
living
neighboring
developing
nations.
This
useful
for
policymakers,
service
providers,
manufacturers,
researchers.
present
originality
lies
its
proposed
framework
as
very
little
research
has
covered
UTAUT
DOI
variables
context
nation
examine
intention.
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.
