Objective:
This
research
examines
the
transformative
potential
of
AI
in
fostering
entrepreneurial
innovation,
highlighting
its
augmentation
capabilities,
integration
strategies,
and
ethical
concerns
that
are
essential
for
sustainable
development.
study
is
contextualized
against
backdrop
fast-changing
ecosystems
United
Arab
Emirates
(UAE),
with
applications
redefining
business
landscape.Methods:
Quantitative
metrics
related
to
adoption
were
analyzed
alongside
qualitative
insights
from
entrepreneurs
owners.
Using
a
sound
theoretical
base
innovation
technology
frameworks,
they
applied
structural
equation
modeling
delineate
direct,
indirect,
mediated
relationships
use
innovationResults:
AI's
influence
on
entrepreneurship
complex,
shaped
through
various
mediators,
including
operational
efficiency,
ethics,
innovative
strategies.
By
building
businesses
around
these
dimensions,
companies
able
both
innovate
sustain
competitive
advantages
an
increasingly
digital
world.Novelty:
helps
filling
gap
between
understanding
practical
entrepreneurship.
As
focuses
UAE,
territory
which
prides
itself
being
global
leader
AI-driven
will
be
unique
leveraging
emerging
technologies
ethically
drive
growth.Research
Implications:
The
highlights
critical
role
intentional
within
academic
settings
necessity
standards.
It
important
reference
policymakers,
entrepreneurs,
academics
working
maximize
practices
Green Blue and Digital Economy Journal,
Год журнала:
2025,
Номер
6(2), С. 8 - 17
Опубликована: Май 30, 2025
The
purpose
of
the
paper
is
to
evaluate
impact
artificial
intelligence
(AI)
adoption
on
enterprise-level
sustainability
in
context
digital
transformation.
study
aims
determine
how
different
levels
AI
implementation
and
business
process
automation
influence
key
indicators
–
namely,
energy
efficiency,
CO₂
reduction,
cost
savings.
Metodology.
research
based
a
synthetic
dataset
generated
through
simulation
approach
using
probabilistic
distributions
literature-based
assumptions.
includes
250
observations
four
independent
variables:
level
adoption,
investment
AI,
level,
degree
policy
support.
dependent
variable
an
integrated
index
composed
three
sub-indicators.
Regression
modeling
was
conducted
Random
Forest
algorithm
detect
both
linear
nonlinear
relationships,
identify
drivers,
ensure
model
robustness.
Model
accuracy
evaluated
R²,
RMSE,
MAE,
MAPE
metrics.
Results.
demonstrated
high
predictive
performance
(R²
=
0.78),
confirming
its
validity.
most
influential
factors
were
actual
use
technologies
automation.
Investment
without
concrete
state
support
had
lower
outcomes.
feature
importance
analysis
confirmed
that
savings,
reduction
are
directly
correlated
with
rather
than
formal
spending
or
subsidies.
Practical
implications.
findings
can
strategic
planning
by
highlighting
need
for
actionable
integration
instead
declarative
investment.
For
policymakers,
indicates
future
mechanisms
should
focus
incentivizing
outcomes
inputs.
proposed
may
also
serve
as
tool
evaluating
effectiveness
national
environmental
policies.
Value
/
Originality.
provides
novel
combination
simulation-based
data
generation
ensemble
explore
relationship
between
sustainable
development.
It
offers
transferable
methodology
countries
limited
access
real
enterprise
contributes
deeper
understanding
transitions
emerging
economies.
Systems,
Год журнала:
2024,
Номер
12(9), С. 330 - 330
Опубликована: Авг. 28, 2024
The
rise
of
artificial
intelligence
is
fundamentally
transforming
the
competitive
landscape
across
various
sectors,
offering
visionary
enterprises
new
pathways
to
innovation
development
and
get
a
edge.
AI
leverages
data,
analysis,
observations
perform
tasks
without
hard
coding,
benefits
from
self-learning
continuous
improvement.
We
use
Systems
Thinking
frame
how
managers
may
adopt
integrate
in
business
activities.
also
investigate
motivations
driving
entrepreneurs
solutions,
they
impact
on
sustainable
model
innovation,
by
administering
questionnaire
sample
innovative
Italian
SMEs
comprehensive
overview
dynamics
influencing
adoption
business.
This
study
sheds
light
intricate
relationship
between
technology,
sustainability,
corporate
innovation.
It
offers
both
valuable
insights
for
future
research
strategic
managerial
decisions
integration.
Furthermore,
it
helps
innovative,
models
evolving
Great
Reset.
Journal of the Academy,
Год журнала:
2024,
Номер
11, С. 33 - 52
Опубликована: Окт. 11, 2024
Este
artículo
examina
los
impactos
contemporáneos
de
la
inteligencia
artificial
sobre
el
emprendimiento.
Se
profundiza
en
papel
agentes
artificial,
transformando
interacción
humano-tecnología
y
generando
cambios
culturales
inevitables.
En
ámbito
del
emprendimiento,
se
analiza
cómo
integra
con
tradición
ver
las
organizaciones
como
sistemas
información,
abordando
problemáticas
procesamiento
información
racionalidad
limitada.
La
metodología
implica
una
revisión
sistemática
literatura
presente
sistema
Web
of
Science
(WOS),
destacando
oportunidades
amenazas
intersección
discusión
explora
modelos
teóricos
artículos
incluidos
revisión.
conclusión
es
síntesis
principales
marcos
desde
cuales
aborda
emprendimiento
función
artificial.
contribución
radica
sintetizar
relevante,
ofreciendo
visión
integral
Sustainability,
Год журнала:
2024,
Номер
16(22), С. 9952 - 9952
Опубликована: Ноя. 14, 2024
The
industrial
shift
from
Industry
4.0
to
5.0
has
transformed
organizational
thinking,
moving
the
focus
purely
technological
implementation
a
more
human-centered
approach.
current
study
focused
on
capabilities
bring
into
circular
economy
practices
aligned
with
sustainable
development
goals,
aiming
enhance
performance.
Moreover,
resource-based
theory
grounded
of
comprehensive
framework
(artificial
intelligence
capabilities,
big
data
analytical
Internet
Things
machine
learning
and
blockchain
technology
capabilities)
(eco-design,
management
system,
investment
recovery)
achieve
performance
(environmental
performance,
social
economic
performance).
Data
have
been
collected
179
respondents
Chinese
manufacturing
industry.
Additionally,
analyzed
using
structural
equation
modeling
technique.
results
showed
that
directly
affect
played
dual,
moderating,
mediating
role
between
contributed
filling
gap
in
literature
especially
perspective.
practical
contribution
recommended
is
if
organizations
their
it
would
boost
goals.
