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.
Technology in Society,
Год журнала:
2023,
Номер
75, С. 102370 - 102370
Опубликована: Сен. 11, 2023
In
today's
academic
world,
some
academicians,
researchers
and
students
have
begun
employing
Artificial
Intelligence
(AI)
language
models,
e.g.,
ChatGPT,
in
completing
a
variety
of
tasks,
including
generating
ideas,
summarising
literature,
essay
writing.
However,
the
use
ChatGPT
settings
is
controversial
issue,
leading
to
severe
concern
about
integrity
AI-assisted
cheating,
while
scholarly
communities
still
lack
clear
principles
on
using
such
innovation
academia.
Accordingly,
this
study
aims
understand
motivations
driving
academics
their
work,
specifically
role
making
up
adoption
behavior.
Based
702
responses
retrieved
from
users
ResearchGate
Academia.edu,
we
found
that
usage
positively
shaped
by
time-saving
feature,
e-word
mouth,
self-efficacy,
self-esteem,
perceived
stress.
contrast,
peer
influence
had
negative
effect
usage.
Intriguingly,
integrity-moderated
interactions
time-saving,
self-esteem
stress
are
be
significantly
positive.
Therefore,
suggest
stakeholders,
institutions,
publishers
AI
models'
programmers,
should
work
together
specify
necessary
guidelines
for
ethical
chatbots
research.
Chinese Public Administration Review,
Год журнала:
2024,
Номер
15(2), С. 128 - 141
Опубликована: Март 20, 2024
By
building
structures
on
open
government
data
and
illuminating
the
area
of
China
with
a
systematic
assessment
220
papers
published
in
major
journals
public
administration
from
2013
to
2023,
this
article
aims
bridge
research
gap
data.
It
presents
an
overview
landscape
Chinese
OGD
exposes
current
gaps
paths
unresolved
future
by
thoroughly
examining
overall
progress,
theoretical
topics,
underpinnings,
methodologies
these
studies.
Combining
findings
analysis
trends
development
international
frontiers
OGD,
suggests
that
scholars
should
critically
examine
theories
construct
framework
tailored
specific
needs
OGD.
also
proposes
coordinate
mechanism
synergistic
effect
at
micro-level
need
be
further
explored
use
more
advanced
quantitative
confirm
qualitative
empirical
findings.
Human Behavior and Emerging Technologies,
Год журнала:
2025,
Номер
2025(1)
Опубликована: Янв. 1, 2025
This
study
is
aimed
at
evaluating
users’
perceptions
of
open
government
data
(OGD)
in
Qatar,
addressing
disparities
between
the
perceived
performance
and
importance
OGD,
identifying
antecedents
consequences
OGD
gaps.
Data
collected
from
1426
respondents
through
a
questionnaire
were
analyzed
using
multiple
quantitative
approaches,
including
importance‐performance
analysis
(IPA)–based
strengths,
weaknesses,
opportunities,
threats
(SWOT)
analysis;
gap
factor
regression;
path
analysis.
Among
13
attributes,
six
identified
as
five
required
improvement,
two
considered
lower
priorities.
The
revealed
an
82%
surplus.
Path
demonstrated
that
gap,
combined
with
other
latent
variables,
significantly
influenced
trust
OGD.
prioritizes
areas
for
improving
aiming
to
enhance
The Electronic Library,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 24, 2025
Purpose
This
study
aims
to
overcome
the
“time
blind
spot”
by
exploring
multifactorial
synergistic
effects
that
enhance
utilization
levels
of
open
government
data
(OGD)
portals
over
time.
The
objective
is
provide
theoretical
contributions
and
practical
value
for
research
related
data.
Design/methodology/approach
applies
dynamic
qualitative
comparative
analysis
(QCA)
method
analyze
panel
from
29
municipal
spanning
2019–2023.
Specifically,
it
examines
trends
in
China’s
OGD
time
identifies
configurations
conditions
consider
both
spatial
temporal
factors.
Findings
There
are
no
necessary
but
insufficient
affecting
portals.
Instead,
rather
than
being
controlled
a
single
factor,
influenced
combined
effect
multiple
A
sufficiency
condition
combinations
three
configuration
paths:
portal
resource
development
driven
fiscal
support,
public
demand
leadership
leadership.
In
particular,
level
identified
as
core
factor
achieving
high
Furthermore,
while
results
do
not
show
significant
effects,
there
case
caused
certain
degree
differences.
Originality/value
pioneering
combines
QCA
based
on
with
theme
OGD.
Using
platforms
period
2019
2023,
this
addresses
shortcomings
limited
frames
have
been
encountered
previous
studies.
Moreover,
explores
configurational
paths
enhancing
platform
time,
aiming
Purpose
This
study
examines
the
factors
influencing
users'
intentions
to
adopt
virtual
reality
(VR)
technologies
in
museums,
emphasizing
role
of
social
cognitive
theory
(SCT)
constructs
and
trust
dimensions
(ability,
integrity
benevolence).
Design/methodology/approach
A
survey
413
university
students
from
UAE,
KSA
Kuwait
was
conducted,
partial
least
squares
structural
equation
modeling
(PLS-SEM)
applied
analyze
relationships
between
SCT
constructs,
behavioral
intention.
Findings
significantly
impact
intention
use
VR
museums.
Trust
is
a
key
mediator
whose
play
pivotal
roles
shaping
intentions.
Gender
moderates
these
relationships,
while
cultural
age
differences
have
minimal
effects.
Originality/value
advances
understanding
psychological
trust-based
driving
adoption
contexts.
It
provides
actionable
insights
for
enhancing
users’
Metaverse-based
supporting
practitioners
policymakers
leveraging
within
Metaverse.
Aslib Journal of Information Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 16, 2025
Purpose
This
study
aims
to
improve
the
utilization
levels
of
provincial
open
government
data
(OGD)
portals
in
China
by
examining
key
factors
and
pathways
that
influence
their
utilization.
Design/methodology/approach
The
employs
technology–organization–environment
theoretical
framework
combines
necessary
condition
analysis
(NCA)
with
fuzzy
set
qualitative
comparative
(fsQCA).
mixed-method
approach
is
used
analyze
sufficient
causal
relationships
identify
affecting
16
OGD
China.
Findings
results
show
no
single
determines
portals.
Instead,
three
independent
variables
–
resource
development
level,
portal
level
organizational
readiness
are
influencing
these
levels.
also
identifies
four
lead
high
provides
detailed
analyses
typical
case
studies.
Originality/value
originality
this
lies
its
innovative
methodological
application,
combining
NCA
method
fsQCA
empirically
investigate
a
comprehensive
understanding
enhance
Still,
had
small
sample
size
static
cross-sectional
data,
which
could
affect
selection
variables.
