Journal of Career Development,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 10, 2024
In
response
to
the
pervasive
influence
of
AI
across
various
professional
domains,
we
investigate
how
acquisition
knowledge
as
a
future
work
skill
can
foster
career
sustainability.
Our
exploration
delves
into
role
this
in
aligning
individual
skills
with
job
demands,
enhancing
what
term
person-job
fit.
Moreover,
present
moderated-mediation
model
examine
interactive
confidence
between
fit
and
Data
were
collected
three
waves
from
part-time
students
pursuing
courses,
concurrently
employed
diverse
industrial
sectors
Pakistan.
Hypotheses
tested
using
covariance-based
structural
equation
modeling
(CB-SEM)
on
final
dataset
(
n
=
318).
findings
reveal
that
significantly
contributes
workers’
sustainability,
both
directly
through
Additionally,
higher
strengthens
interplay
Theoretical
contributions
practical
implications
study
are
discussed,
along
potential
avenues
for
research
domain.
Purpose
The
present
study’s
aims
are
twofold:
1)
to
contribute
theory
development
by
accounting
for
both
personality
and
trust
in
the
conceptualization
of
technology
acceptance
using
model
(TAM)
as
theoretical
framework;
2)
explore
influence
ChatGPT-integrated
chatbots
on
tourism
behavior.
Design/methodology/approach
target
population
this
study
was
travelers
who
previously
used
(website/
app)
plan
their
holiday
abroad.
An
online
survey
questionnaire
created
with
Google
Forms
distributed
via
a
panel
company
(iPanel).
A
screening
question
included
filter
out
respondents
have
not
technological
means
(iPanel)
hired
collect
data
from
convenience
sample
305
Israeli
tourists
met
above
criterion
between
August
22
27,
2023,
were
at
least
18.
Findings
significant
positive
relationship
observed
ChaptGPT
perceived
usefulness.
Furthermore,
association
ease
use
intentions
future
holidays.
Post
hoc
analyses
suggest
that
mediates
extraversion
trust,
usefulness
age
moderates
behavioral
intentions.
Research
limitations/implications
Data
collected
travelers.
Hence,
generalizations
other
countries,
nationalities
cultures
should
be
treated
carefully;
is
cross-sectional
thus
represents
respondents’
beliefs
particular
time;
based
one
several
frameworks
can
conceptualize
behaviors
associated
AI
tourists.
Practical
implications
findings
point
importance
tourists’
personal
factors,
such
age,
developing
products
industry.
chief
executive
officers
relevant
shareholders
would
benefit
conducting
market
research
obtain
insights
into
factors
may
enhance
or
hamper
adoption
AI-based
planning
holidays
Originality/value
Previous
work
falls
short
traits
single
TAM
framework.
To
best
authors’
knowledge,
first
empirically
investigating
behavior
related
ChatGPT
tool
possible
role
moderating
variable
overlooked
past
research.
Corporate Social Responsibility and Environmental Management,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 11, 2024
Abstract
Global
corporations
face
a
significant
challenge
in
addressing
the
lack
of
green
innovation.
Thus,
this
study
develops
conceptual
model
to
unveil
role
leader
competencies
“smart
technology,
artificial
intelligence,
robotics,
algorithms”
(STARA)
promoting
employees'
innovative
behaviors.
The
strives
analyze
mediating
effect
crafting
behavior
on
impact
STARA
behavior.
Additionally,
tests
moderating
roles
awareness
and
employee
promotion
focus
relationship
between
Data
were
collected
from
319
employees
test
proposed
using
structural
equation
modeling.
Findings
reveal
that
drive
through
Furthermore,
moderate
influence
Our
research
practical
implications
improve
leaders'
competencies,
which
could
Journal of Health Organization and Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 29, 2025
Purpose
The
primary
purpose
of
the
study
was
to
explore
impact
health
workers’
awareness
artificial
intelligence
(AI)
on
their
workplace
well-being,
addressing
a
critical
gap
in
literature.
By
examining
this
relationship
through
lens
Job
demands-resources
(JD–R)
model,
aimed
provide
insights
into
how
perceptions
AI
integration
jobs
and
careers
could
influence
informal
learning
behaviour
and,
consequently,
overall
well-being
workplace.
study’s
findings
inform
strategies
for
supporting
healthcare
workers
during
technological
transformations.
Design/methodology/approach
employed
quantitative
research
design
using
survey
methodology
collect
data
from
420
across
10
hospitals
Ghana
that
have
adopted
technologies.
analysed
OLS
structural
equation
modelling.
Findings
revealed
positively
impacts
at
Again,
well-being.
Moreover,
mediates
between
wellbeing.
Furthermore,
employee
orientation
found
strengthen
effect
behaviour.
Research
limitations/implications
While
provides
valuable
insights,
it
is
important
acknowledge
its
limitations.
conducted
specific
context
(Ghanaian
adopting
AI),
which
may
limit
generalizability
other
settings
or
industries.
Self-reported
questionnaires
be
subject
response
biases,
did
not
account
potential
confounding
factors
relationships
variables.
Practical
implications
offers
practical
organizations
navigating
digital
transformation
era.
understanding
positive
can
prioritize
initiatives
foster
learning-oriented
culture
opportunities
learning.
This
include
implementing
mentorship
programs,
encouraging
knowledge-sharing
among
employees
offering
training
development
resources
help
adapt
AI-driven
changes.
Additionally,
highlight
importance
promoting
orientation,
enhance
effectiveness
such
initiatives.
Originality/value
contributes
existing
literature
by
relatively
unexplored
area
–
previous
has
focused
job
displacement
effects
AI,
takes
unique
perspective
shape
subsequently,
drawing
JD–R
model
incorporating
as
moderator,
novel
theoretical
framework
adoption
organizations.
Purpose
This
study
aims
to
explore
how
information
systems
(IS)
capabilities,
organisational
agility
and
artificial
intelligence
orientation
(AIO)
influence
the
competitive
advantage
(CA)
of
theme
parks
operated
in
United
Arab
Emirates
(UAE).
Design/methodology/approach
Data
were
collected
using
a
survey
341
park
representatives.
Partial
least
squares
structural
equation
modelling
was
used
test
hypotheses
multigroup
analysis
applied
examine
control
variables.
Findings
The
results
show
that
with
strong
IS
capabilities
tend
achieve
significant
edge.
In
addition,
are
more
agile
outperform
their
competitors.
However,
although
(AI)
tools
crucial,
they
do
not
necessarily
strengthen
impact
these
on
parks’
success.
Practical
implications
Theme
operators
should
invest
technology
improves
operational
efficiency
customer
service
while
building
flexible
structures
swiftly
adapt
market
trends.
Although
AI
is
valuable,
real
focus
UAE
be
strengthening
ability
effectively
use
IS,
which
directly
contributes
sustained
CA.
Originality/value
uniquely
integrates
an
AIO,
offering
fresh
perspectives
for
navigate
technological
shifts.
findings
suggest
successful
digital
adaptation
relies
balancing
practices.
Purpose
This
study
uses
the
pleasure–arousal–dominance
(PAD)
theory
to
explore
how
users’
emotional
engagement
with
ChatGPT
drives
their
continued
adoption
of
and
word-of-mouth
(WOM)
behaviour
in
context
travel-related
service.
Design/methodology/approach
obtained
reliable
data
from
428
Chinese
respondents
who
used
for
purposes.
Structural
equation
modelling
was
test
a
series
hypotheses
based
on
PAD
framework.
Findings
identifies
three
key
features
human–artificial
intelligence
(AI)
interaction,
namely,
service
ubiquity,
entertainment
anthropomorphism,
which
significantly
influence
responses,
including
pleasure,
arousal
dominance.
Dominance
pleasure
are
found
enhance
experiences,
driving
positive
WOM
recommendations
ChatGPT,
whereas
influences
but
does
not
affect
adoption.
The
results
also
confirm
that
perceived
interacting
has
strongest
effect.
These
findings
advance
theoretical
understanding
by
clarifying
mechanisms
underlying
human–AI
interactions
tourism
context.
Originality/value
examines
emerging
trend
tourists’
continuous
services.
highlight
different
emotions
interaction
long-term
use
AI-powered
tool
Artificial
Intelligence
(AI)
has
become
increasingly
integral
to
education
in
today’s
technology-driven
era,
particularly
within
the
Technological
Pedagogical
and
Content
Knowledge
(TPACK)
framework.
This
research
investigates
Indonesian
EFL
teachers’
perspectives
on
impact
of
AI
improving
their
instructional
methods.
It
further
analyzes
how
these
affect
integration
TPACK
teaching
environments.
The
employed
a
narrative
inquiry
approach,
collecting
data
through
semi-structured
interviews
with
three
teachers
varying
experience
levels.
findings
reveal
that
while
recognize
AI’s
potential
personalizing
students’
learning
engagement,
they
face
significant
challenges
integrating
effectively.
These
obstacles
involve
restricted
resource
availability,
inadequate
training,
inconsistent
use
elements.
study
highlights
need
for
professional
development
programs
build
technological
proficiency
foster
balanced
Ultimately,
recommends
enhancing
teacher
training
ensure
is
utilized
create
dynamic
effective
environments
education.
