Cybersecurity and Innovative Technology Journal,
Год журнала:
2024,
Номер
2(2), С. 98 - 103
Опубликована: Дек. 31, 2024
The
study
mainly
focused
on
the
impact
of
artificial
intelligence
(AI)
in
addressing
sentinel
occurrences
healthcare,
particularly
unanticipated
events
that
cause
intensive
patient
harm.
Through
initiatives
such
as
leveraging
predictive
analytics,
machine
learning
algorithms,
and
processing
natural
language,
AI
could
help
promote
safety
prevent
risks.
This
article
evaluates
uses
AI,
drawbacks,
ethical
implications
while
developing
an
understanding
how
this
innovation
would
boost
care
cultural
safety.
Moreover,
paper
examines
security
issues
related
to
AI-based
healthcare
highlight
advantages
enforcing
critical
information
safeguards
enhancing
organizational
dependability.
Business Strategy and the Environment,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 11, 2025
ABSTRACT
In
the
era
of
rapid
technological
advancement,
generative
artificial
intelligence
(AI)
has
emerged
as
a
transformative
force
in
various
sectors,
including
environmental
sustainability.
This
research
investigates
factors
and
consequences
using
AI
to
access
information
influence
green
purchasing
behavior.
It
integrates
theories
such
adoption
model,
value–belief–norm
theory,
elaboration
likelihood
cognitive
dissonance
theory
pinpoint
prioritize
determinants
usage
for
Data
from
467
participants
were
analyzed
hybrid
methodology
that
blends
partial
least
squares
(PLS)
with
neural
networks
(ANN).
The
PLS
outcomes
indicate
interactivity,
responsiveness,
knowledge
acquisition
application,
concern,
ascription
responsibility
are
key
predictors
use
information.
Furthermore,
concerns,
values,
personal
norms,
responsibility,
individual
impact,
emerge
ANN
analysis
offers
unique
perspective
discloses
variations
hierarchy
these
predictors.
provides
valuable
insights
stakeholders
on
harnessing
promote
sustainable
consumer
behaviors
Sustainability,
Год журнала:
2024,
Номер
16(14), С. 6108 - 6108
Опубликована: Июль 17, 2024
This
study
prioritized
initiatives
within
the
China–Pakistan
Economic
Corridor
(CPEC),
foreign
funding,
and
associated
environmental
national
issues.
Additionally,
it
analyzed
these
factors’
effects
on
improving
infrastructure,
commerce,
economic
cooperation
between
China
Pakistan.
Besides
that,
also
studies
current
climatic,
economic,
political
challenges,
mainly
focused
water
agriculture
Climate,
issues
affect
environment.
These
concerns
deserve
global
attention.
Pakistan
relies
agriculture,
its
scarcity
predisposes
to
losses,
urbanization,
many
socioeconomic
problems.
Climate
change
flood
have
devastated
sector.
Water
affects
too
significantly
impacts
economy
food
resources.
The
nation
has
not
previously
experienced
such
a
profoundly
distressing
epoch.
faced
several
environmental,
challenges;
specifically,
fields
of
present
notable
apprehensions.
Unfavorable
climatic
conditions
impede
attainment
sustainable
in
Considering
strong
reliance
resources,
is
crucial
acknowledge
that
industrialization
resulted
substantial
contamination
due
presence
microplastics
heavy
metals.
Moreover,
South
Asian
region
experiences
significant
CPEC
solution
for
financial
issues,
but
big
challenge
degradation
stage,
especially
since
funding
key
increasing
corruption
bringing
more
burden
economy.
Unfortunately,
good
To
ensure
safety,
security,
sustainability,
projects
should
follow
regulations.
provides
new
list
initiative
priority
tasks
openly
disrupt
initiative,
serve
whole
project,
give
appropriate
recommendations
future
research
policy-making.
Frontiers in Environmental Economics,
Год журнала:
2025,
Номер
3
Опубликована: Янв. 9, 2025
Artificial
intelligence
(AI)
plays
a
pivotal
role
in
the
development
of
green
economy.
This
paper
examines
impact
artificial
on
economic
efficiency
(GEE)
using
panel
data
from
30
provinces
China
spanning
2011–2020.
A
multiple
linear
regression
model,
alongside
various
endogeneity
and
robustness
tests,
is
applied
to
ensure
reliable
findings.
The
empirical
results
indicate
that
AI
significantly
enhances
GEE.
However,
marginal
effect
GEE
influenced
by
different
governance
approaches.
In
terms
policy
governance,
excessive
market-based
environmental
regulation
(MER)
diminishes
AI,
while
stronger
administrative-command
regulations
(CER)
informal
(IER)
amplify
it.
Regarding
technological
substantive
innovations
(SUG)
reduce
AI's
effect,
whereas
symbolic
(SYG)
may
increase
Notably,
threshold
SUG
surpasses
SYG.
legal
both
administrative
judicial
intellectual
property
protections
though
protection
(AIP)
exhibits
more
significant
than
(JIP).
These
findings
offer
practical
insights
for
optimizing
strategies
maximize
promoting
highlight
need
balanced
sustainable
development.
Policymakers
should
tailor
encourage
regional
collaboration
harness
spatial
spillover
effects.
Enterprises
can
leverage
AI-driven
align
growth
with
ecological
goals,
fostering
coordinated
Journal of Hospitality and Tourism Insights,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 17, 2025
Purpose
This
study
aimed
to
investigate
the
impact
of
leader
STARA
competence
(LSC)
–
managing
and
implementing
smart
technologies,
artificial
intelligence,
robotics
algorithms–
on
green
competitiveness
(GC)
in
tourism
hospitality
sectors.
It
also
investigated
role
employee
creativity
(EGC)
as
a
mediator
between
LSC
GC
mediating
human
capital
(GHC)
relationship
EGC
GC.
Design/methodology/approach
The
utilized
PLS-SEM
analyze
320
responses
obtained
from
middle-level
management
at
five-star
hotels
travel
agencies
Egypt,
using
WarpPLS
statistical
software
7.0.
Findings
Leader
positively
affects
competitiveness.
Employee
capital.
Green
In
addition,
demonstrated
significant
mediation
roles
relationship.
Practical
implications
offers
several
practical
for
enterprises.
underscores
significance
STARA’s
advancing
Originality/value
provides
new
insights
into
how
emerging
concepts
like
competence,
simultaneously
predict
within
contributes
significantly
enriching
social
exchange
theory.
Through
adaptive
and
assistive
technologies,
AI
enables
deep
personalization
of
learning,
as
well
adjusting
content
pacing
based
on
each
student's
individual
needs.
These
systems
not
only
optimize
the
delivery
educational
material,
but
also
offer
new
forms
interaction
accessibility
for
students
with
physical,
visual
hearing
disabilities.
The
research
was
conducted
purpose
exploring
how
artificial
intelligence
(AI)
has
revolutionized
special
education.
results
indicate
that
implementation
tools
such
speech
recognition,
brain-computer
interfaces
text-to-speech
software
significantly
improves
student
autonomy
participation
in
classroom.
However,
data
highlights
importance
addressing
ethical
issues,
ensuring
these
technological
advances
benefit
all
equitably
without
compromising
their
security
or
privacy.
inquiry
concluded
that,
while
presents
transformative
opportunities
education,
its
integration
requires
thoughtful
approaches
prioritize
inclusion
equity.
