AI anxiety and knowledge payment: the roles of perceived value and self-efficacy
Jinsong Chen,
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Miao He,
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Sun Jin-hua
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et al.
BMC Psychology,
Journal Year:
2025,
Volume and Issue:
13(1)
Published: March 6, 2025
The
integration
of
Artificial
Intelligence
(AI)
into
daily
life
raises
significant
challenges
and
uncertainties,
notably
concerning
job
security
skill
relevance.
This
has
led
to
the
emergence
'AI
anxiety'-a
stress
response
potential
impacts
AI
on
individuals'
futures.
study
examines
anxiety's
effects
willingness
pay
for
knowledge,
focusing
roles
perceived
value
self-efficacy.
consisted
two
experiments.
Study
1
utilized
a
one-factor
between-subjects
design
(AI
anxiety
vs.
neutral
emotion)
with
297
participants
examine
mediating
role
in
relationship
between
knowledge.
2
employed
×
emotion
)×self-efficacy
(high
low)
506
investigate
moderating
effect
self-efficacy
this
relationship.
showed
that
significantly
increases
partially
effect.
demonstrated
moderates
influence
anxiety:
higher
levels
weaken,
whereas
lower
strengthen,
Furthermore,
also
negatively
value.
positively
influences
payment
critical
These
findings
offer
new
framework
understanding
impact
consumer
behavior
provide
actionable
insights
platforms
policymakers.
Language: Английский
Monetary rewards or comment recognition? The difference between the two types of feedback in online Q&A community
Jinpeng Liu,
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Xinmiao Li,
No information about this author
Xipeng Liu
No information about this author
et al.
Information Technology and People,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 9, 2025
Purpose
An
in-depth
exploration
of
difference
in
the
motivational
effects
various
types
feedback
can
better
address
challenges
faced
by
knowledge
contributions.
Drawing
upon
self-determination
theory
(SDT),
this
study
examines
relative
asker
monetary
rewards
and
peer
comment
recognition
short
term,
heterogeneous
across
different
social
status
levels
their
long-term
impact
over
time.
Design/methodology/approach
Based
on
panel
data
from
an
online
financial
Q&A
community,
employs
a
fixed-effects
Poisson
regression
for
empirical
analysis.
In
addition,
it
also
conducts
instrumental
variable
series
robustness
tests.
Findings
The
results
indicate
following:
(1)
Peer
has
positive
effect
contributions,
whereas
have
negative
impact.
(2)
short-term,
is
stronger,
but
changes
as
user
increases.
(3)
There
no
evidence
offsetting
between
recognition.
(4)
both
continuous
contributions
decreases
time,
influence
latter
lasts
longer.
Originality/value
Previous
studies
focused
primarily
direct
effects.
This
research
explores
differences
external
incentives
examining
sources,
timing
feedback,
providing
more
comprehensive
understanding
mechanisms
that
drive
contribution.
It
offers
valuable
insights
management
communities.
Language: Английский