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.
Technovation,
Год журнала:
2024,
Номер
135, С. 103063 - 103063
Опубликована: Июнь 25, 2024
Recently,
Gen
AI
has
garnered
significant
attention
across
various
sectors
of
society,
particularly
capturing
the
interest
small
business
due
to
its
capacity
allow
them
reassess
their
models
with
minimal
investment.
To
understand
how
and
medium-sized
firms
have
utilised
AI-based
tools
cope
market's
high
level
turbulence
caused
by
COVID-19
pandemic,
geopolitical
crises,
economic
slowdown,
researchers
conducted
an
empirical
study.
Although
is
receiving
more
attention,
there
remains
a
dearth
studies
that
investigate
it
influences
entrepreneurial
orientation
ability
cultivate
resilience
amidst
market
turbulence.
Most
literature
offers
anecdotal
evidence.
address
this
research
gap,
authors
grounded
theoretical
model
hypotheses
in
contingent
view
dynamic
capability.
They
tested
using
cross-sectional
data
from
pre-tested
survey
instrument,
which
yielded
87
useable
responses
medium
enterprises
France.
The
used
variance-based
structural
equation
modelling
commercial
WarpPLS
7.0
software
test
model.
study's
findings
suggest
EO
influence
on
building
as
higher-order
lower-order
capabilities.
However,
negative
moderating
effect
path
joins
resilience.
results
assumption
will
positive
effects
capabilities
competitive
advantage
not
always
true,
linear
does
hold,
consistent
some
scholars'
assumptions.
offer
contributions
open
new
avenues
require
further
investigation
into
non-linear
relationship
International Journal of Tourism Cities,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 29, 2024
Purpose
The
purpose
of
this
paper
is
to
explore
how
GenAI
can
help
companies
achieve
a
higher
level
hyper-segmentation
and
hyper-personalization
in
the
tourism
industry,
as
well
show
importance
disruptive
tool
for
marketing.
Design/methodology/approach
This
used
Web
Science
Google
Scholar
databases
provide
updated
studies
expert
authors
industry.
Analysing
modalities
through
their
new
challenges
tourists,
cities
companies.
Findings
reveal
that
technology
exponentially
improves
consumers’
segmentation
personalization
products
services,
allowing
organizations
create
tailored
content
real-time.
That
why
concept
substantially
focused
on
customer
(understood
segment
one)
his
or
her
preferences,
needs,
personal
motivations
purchase
antecedents,
it
encourages
design
services
with
high
individual
scalability
performance
called
hyper-personalization,
never
before
seen
Indeed,
contextualizing
experience
an
important
way
enhance
personalization.
Originality/value
also
contributes
enhancing
bootstrapping
literature
industry
because
field
study,
its
functional
operability
incubation
stage.
Moreover,
viewpoint
facilitate
researchers
successfully
integrate
into
different
travel
activities
without
expecting
utopian
results.
Recently,
there
have
been
no
tackle
methodologies
Sustainability,
Год журнала:
2024,
Номер
16(17), С. 7763 - 7763
Опубликована: Сен. 6, 2024
The
functioning
of
modern
urban
environments
relies
heavily
on
the
public
transport
system.
Given
spatial,
economic,
and
sustainability
criteria,
in
larger
areas
is
unrivaled.
system’s
role
depends
quality
service
it
offers.
Achieving
desired
requires
a
design
that
meets
demands.
This
paper
uses
data-driven
approach
to
address
headway
deviations
lines
explores
ways
improve
regularity
during
phase.
Headway
critical
dynamic
element
for
organization
passenger
quality.
Deviations
between
planned
actual
headways
represent
disturbances.
On
with
under
15
min,
passengers
typically
do
not
consult
schedules,
making
punctuality
less
crucial.
Reduced
affects
average
travel
time,
time
uncertainty,
comfort.
Ideally,
system
operates
regular
headways.
However,
disturbances
can
spread
affect
subsequent
departures,
leading
vehicle
bunching.
While
previous
research
focused
single
primary
disturbances,
this
study,
help
AI
(reinforcement
learning),
examines
multiple
cities
Belgrade,
Novi
Sad,
Niš.
goal
model
cumulative
impact
these
movement.
By
ranking
parameter
influences
using
automatic
optimization
static
line
elements,
aims
increase
resilience
results
could
also
be
useful
developing
adaptive
management
systems
leverage
IoT
technologies
continuously
optimize
response
real-time
data,
ultimately
enhancing
satisfaction.
International Journal of Health Services Research and Policy,
Год журнала:
2025,
Номер
10(1), С. 23 - 40
Опубликована: Фев. 26, 2025
This
study,
prepared
with
the
compilation
method,
aims
to
examine
whether
“dilemmas”
are
experienced
regarding
phenomenon
of
“ethics”.
The
scope
this
study
is
limited
reviewing
opinions
in
literature
on
ethics
health
services.
research
problem
presented
as
“Are
ethical
dilemmas
services?”.
While
hypothesis
structured
“ethical
services”.
findings
obtained
‘compilation’
method
used
show
that
In
instead
a
number
data
sources,
views
from
very
different,
and
many
sources
were
brought
together
make
our
original.
Thus,
protection
was
provided
against
excessive
influence
studies
reader,
or
even
overlooking
important
perspectives.
It
thought
original
dimension
can
contribute
may
be
at
point
“the
necessity
transformational
attitude
coping
dilemmas”.
