Examining the influence of AI event strength on employee performance outcomes: Roles of AI rumination, AI-supported autonomy, and felt obligation for constructive change
International Journal of Hospitality Management,
Год журнала:
2025,
Номер
126, С. 104111 - 104111
Опубликована: Янв. 16, 2025
Язык: Английский
Harnessing machine learning models and explainable AI to understand MOOC continuance intention
Information Discovery and Delivery,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 6, 2025
Purpose
This
study
aims
to
investigate
factors
that
influence
individuals’
continuance
intention
use
massive
open
online
courses
(MOOCs)
by
using
machine
learning
models.
Design/methodology/approach
Data
was
collected
from
702
MOOC
users
major
metropolitan
cities
in
India
through
a
network-based
sampling
and
recruitment
via
various
social
media
outlets
(e.g.
LinkedIn
Facebook).
Various
algorithms
along
with
explainable
artificial
intelligence
(XAI)
were
employed
Python
PyCaret.
Findings
Results
confirm
pedagogy
value,
content
interface
ubiquity
teacher
presence
satisfaction
have
positive
effects
on
the
continuous
of
MOOCs.
Furthermore,
value
is
chief
driving
force
CI
XAI
helps
clarify
intricate
patterns
learner
data,
thus
allowing
more
appropriate
interventions.
Practical
implications
The
findings
would
be
useful
for
developers
formulate
better
propositions
ensuring
sustainable
business
higher
growth
rate
market.
Originality/value
bridges
gap
existing
literature
providing
novel
approach.
To
best
authors’
knowledge,
this
first
earlier
identifying
leading
intentions
MOOCs,
so
research
adds
method
exploring
enhancing
retention
rates
among
learners.
Язык: Английский
Service robots, artificial intelligence awareness, self-efficacy and work engagement
Management Decision,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 9, 2025
Purpose
The
rise
of
artificial
intelligence
(AI)
technology
has
sparked
concerns
across
various
industries,
especially
within
frontline
service
sectors,
as
it
fosters
a
sense
insecurity
among
practitioners.
However,
prior
research
on
how
and
when
AI
impacts
employees’
psychological
work
states
remains
insufficient.
This
study
aims
to
explore
the
relationships
awareness
with
job
engagement,
particular
focus
self-efficacy
affects
these
dynamics.
Design/methodology/approach
A
questionnaire
survey
was
employed
collect
302
responses
from
employees
in
hotel
industry
China.
Data
analysis
conducted
using
SPSS
21.0
AMOS,
employing
hierarchical
regression
Johnson-Neyman
tests
validate
main,
mediating,
moderating
effects.
Findings
findings
indicate
that
negatively
influences
engagement
by
triggering
insecurity.
Self-efficacy
serves
mitigating
factor,
alleviating
adverse
impact
engagement.
Notably,
test
reveals
positive
shift
relationship
between
exceeds
certain
threshold.
Originality/value
present
is
first
contributing
growing
body
this
area.
It
contributes
not
only
enriching
existing
literature
employee
but
also
introducing
new
perspectives,
thereby
providing
valuable
insights
for
both
scholars
Язык: Английский
Fostering proactivity in the age of AI: exploring the interplay of job reflection and coaching leadership
Baltic Journal of Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 18, 2025
Purpose
This
study
examines
the
impact
of
artificial
intelligence
(AI)
adoption
on
employee
proactive
behavior
in
South
Korean
organizations.
Drawing
social
cognitive
theory,
we
investigate
mediating
role
job
reflection
and
moderating
effect
coaching
leadership
this
relationship.
Our
research
aims
to
address
critical
gap
understanding
how
AI
influences
proactivity,
a
crucial
dynamic,
technology-driven
environments.
By
exploring
processes
factors
involved,
seek
provide
insights
into
organizations
can
leverage
foster
while
emphasizing
importance
reflective
practices
supportive
leadership.
Design/methodology/approach
We
employed
time-lagged
survey
with
405
employees
across
three
waves.
adoption,
control
variables
were
measured
at
Time
1,
2
3.
Hierarchical
regression
bootstrapping
analyses
test
hypotheses.
Findings
results
reveal
that
positively
relates
behavior,
While
moderates
relationship
between
reflection,
hypothesized
moderated
mediation
was
not
supported,
suggesting
reflection’s
remains
consistent
regardless
level.
finding
highlights
robustness
as
mechanism
context.
Originality/value
advances
mechanisms
linking
by
identifying
key
process.
It
provides
enhance
proactivity
during
implementation
revealing
complexity
leadership’s
Язык: Английский