Sumerianz Journal of Business Management and Marketing,
Год журнала:
2024,
Номер
72, С. 19 - 27
Опубликована: Июнь 28, 2024
Artificial
intelligence
(AI)
and
machine
learning
(ML)
technologies
are
crucial
for
small
medium
enterprises
(SMEs)
to
improve
business
operations
in
an
easy,
cost-efficient,
effective
form.
As
a
result,
we
explore
the
convenience
dimensions
that
impact
AI
ML
adoption
intention
among
SMEs
Uganda,
developing
country.
248
respondents
were
involved.
The
results
show
transaction,
access,
possession/post-possession,
search
SMEs’
adopt
ML.
However,
evaluation
had
no
significant
influence.
Additionally,
intentions
adoption.
Thus,
our
study
contributes
ML,
convenience,
SME
literature,
practical
applications
owners
managers
of
countries.
Journal of Ecohumanism,
Год журнала:
2025,
Номер
4(1)
Опубликована: Янв. 21, 2025
As
Artificial
Intelligence
(AI)
technologies
are
taking
the
lead
among
technological
advancements
around
world,
societies
increasingly
becoming
interwoven
with
Generative
AI
(GAI)
in
all
aspects,
including
higher
education
(HE).
This
study’s
main
aim
is
to
examine
how
individual-level
cultural
dimensions
influence
students’
adoption
of
GAI
learning,
drawing
on
an
extended
Innovation
Diffusion
Theory
(IDT)
model.
It
explores
impact
(individualism/collectivism
and
uncertainty
avoidance),
IDT
innovation
factors
(relative
advantage,
complexity,
compatibility,
observability,
trialability),
individual
(self-efficacy,
perceived
risk)
Saudi
perceptions
across
several
universities.
Quantitative
data
were
collected
from
306
online
survey
analyzed
using
CB-SEM.
Results
highlight
instrumental
role
dimensions,
individualism/collectivism
avoidance
negatively
affecting
adoption.
While
complexity
showed
no
significant
impact,
other
variables
positively
influenced
Furthermore,
self-efficacy
risk
found
be
indicators
use.
The
study
emphasizes
differences
that
shape
technology
collectivist
moving
toward
individualism
such
as
Saudi.
identifies
limitations,
provides
useful
insights,
suggests
recommendations
for
future
research
uptake
culturally
diverse
HE
contexts.
Education Sciences,
Год журнала:
2025,
Номер
15(2), С. 113 - 113
Опубликована: Янв. 21, 2025
This
study
examines
educators’
perceptions
of
artificial
intelligence
(AI)
in
educational
settings,
focusing
on
their
familiarity
with
AI
tools,
integration
into
teaching
practices,
professional
development
needs,
the
influence
institutional
policies,
and
impacts
mental
health.
Survey
responses
from
353
educators
across
various
levels
countries
revealed
that
92%
respondents
are
familiar
AI,
utilizing
it
to
enhance
efficiency
streamline
administrative
tasks.
Notably,
many
reported
students
using
tools
like
ChatGPT
for
assignments,
prompting
adaptations
methods
promote
critical
thinking
reduce
dependency.
Some
saw
AI’s
potential
stress
through
automation
but
others
raised
concerns
about
increased
anxiety
social
isolation
reduced
interpersonal
interactions.
highlights
a
gap
leading
some
establish
own
guidelines,
particularly
matters
such
as
data
privacy
plagiarism.
Furthermore,
identified
significant
need
focused
literacy
ethical
considerations.
study’s
findings
suggest
necessity
longitudinal
studies
explore
long-term
effects
outcomes
health
underscore
importance
incorporating
student
perspectives
thorough
understanding
role
education.
Behavioral Sciences,
Год журнала:
2024,
Номер
14(2), С. 144 - 144
Опубликована: Фев. 18, 2024
Previous
studies
suggest
that
career
plateaus
have
detrimental
effects
on
employees’
satisfaction
and
performance.
Psychological
distress
generated
by
hinders
organizations
from
achieving
the
United
Nations’
Sustainable
Development
Goals
(UNSDGs)
of
‘health
well-being
at
work’
(SDG-3)
‘decent
(SDG-8).
How
to
mitigate
negative
impact
becomes
key
enhancing
sustainable
work.
However,
influencing
mechanisms
not
been
fully
discussed,
especially
regarding
psychological
processes.
Drawing
equity
theory
conservation
resource
theory,
this
study
examines
influence
mechanism
employee
job
performance
via
organizational
justice,
with
positive
capital
moderating
process.
Mplus
Process
macro
for
SPSS
are
adopted
conduct
confirmatory
factor
analysis
regression
analyses.
Building
368
supervisor–employee
paired
questionnaires
an
average
eight
employees
per
supervisor,
empirical
results
indicate
who
encounter
reduce
their
perceived
justice
discourage
them
performing
well
in
jobs.
Positive
capital,
however,
mitigates
indirect
through
justice.
Theoretically,
advances
our
understanding
Practical
implications
also
drawn
alleviate
promote
Systems,
Год журнала:
2025,
Номер
13(2), С. 82 - 82
Опубликована: Янв. 29, 2025
The
current
study
examines
the
psychological
factors
shaping
AI
adoption,
focusing
on
anxiety,
motivation,
and
dependency.
It
identifies
two
dimensions
of
anxiety:
anticipatory
driven
by
fears
future
disruptions,
annihilation
reflecting
existential
concerns
about
human
identity
autonomy.
We
demonstrate
a
U-shaped
relationship
between
anxiety
usage,
where
moderate
engagement
reduces
high
or
low
levels
increase
it.
Perceived
utility,
interest,
attainment
significantly
correlate
with
engagement,
while
frequent
usage
is
linked
to
dependency
but
not
anxiety.
These
findings
highlight
dual
role
in
hindering
alleviating
usage.
This
enriches
understanding
emotional
motivational
drivers
adoption
highlights
importance
balanced
implementation
strategies
foster
sustainable
effective
integration
mitigating
risks
over-reliance.
Abstract
As
artificial
intelligence
(AI)
technologies
continue
to
reshape
modern
workplaces,
concerns
have
emerged
about
their
potential
negative
impact
on
employees’
performance
and
well-being,
referred
as
“AI
anxiety.”
Drawing
social
cognitive
theory,
this
study
examines
how
environmental
factors—in
particular,
norms
management
commitment—shape
responses
AI
anxiety
influence
creativity
at
work.
By
exploring
different
coping
triggered
by
anxieties,
research
highlights
the
complex
interplay
between
individuals’
perceptions,
organizational
context,
creative
outcomes.
The
findings
expand
current
understanding
of
illustrating
supportive
factors
can
encourage
more
adaptive
responses,
ultimately
enhancing
potential.
These
insights
not
only
contribute
academic
literature
but
also
provide
practical
guidance
for
organizations
aiming
build
resilient
innovative
workforces
capable
thriving
in
an
era
rapid
technological
advancement.
