Assessing the Effect of Artificial Intelligence Anxiety on Turnover Intention: The Mediating Role of Quiet Quitting in Turkish Small and Medium Enterprises
Behavioral Sciences,
Journal Year:
2025,
Volume and Issue:
15(3), P. 249 - 249
Published: Feb. 22, 2025
The
concept
of
artificial
intelligence
(AI)
refers
to
technologies
that
imitate
human-like
thinking,
learning
and
decision-making
abilities.
While
integrating
AI
into
the
workforce
offers
potential
increase
efficiency
in
organizational
activities,
it
can
lead
negative
effects
such
as
anxiety,
uncertainty,
distrust
among
employees
which
results
from
not
being
able
understand
these
technologies,
regarding
them
alternatives
for
themselves,
possibility
losing
their
position.
These
reduce
employees’
commitment
at
work
trigger
behaviors
quiet
quitting
turnover
intention.
Starting
this
point,
present
study
aims
investigate
effect
anxiety
on
intention
mediating
role
relationship.
was
conducted
using
a
cross-sectional
design
with
457
people
working
SMEs
Kırıkkale
province.
Anxiety,
Quiet
Quitting,
Turnover
Intention
Scales
were
utilized
during
data
collection
process.
obtained
analyzed
through
structural
equation
modeling.
In
addition
detecting
significant
relationships
between
concepts
result
analysis,
realized
did
have
considerable
directly
intention;
however,
occurred
indirectly
quitting.
Accordingly,
is
predicted
business
processes
will
concerns
about
job
security
employees,
triggers
by
leading
tendency
toward
reasons
loss
motivation
low
commitment.
Language: Английский
A scoping review of recent developments linking artificial intelligence and lifelong learning
Jelena Pokimica,
No information about this author
Lara Sinkovich
No information about this author
Inovacije u nastavi,
Journal Year:
2025,
Volume and Issue:
38(1), P. 46 - 58
Published: Jan. 1, 2025
In
this
scoping
review,
we
have
been
guided
by
questions
on
the
nature
of
effects
Generative
AI
lifelong
learning
in
terms
its
advantages
and
shortcomings,
especially
since
proliferation
technologies
over
last
half
a
decade.
We
also
highlighted
major
artificial
intelligence
concepts
discussed
literature,
as
well
reviewed
current
conceptual
debates
tensions,
while
concentrating
higher
education
work
settings.
Our
findings
are
organized
three
themes:
1)
digitalization
technologication
learning;
2)
self-directed
learning,
GAI
ChatGPT,
global
contexts;
3)
human
development
capability
approach
to
learning.
draw
important
implications
for
future
empirical
research
directions,
more
fine-grained
systematic
reviews
building
preliminary
work,
organizational
considerations.
uniquely
add
discussions
perspectives
realm
instigate
probing
into
deeper
ontological
processes
behind
Language: Английский