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
Industrial Marketing Management,
Journal Year:
2024,
Volume and Issue:
120, P. 216 - 233
Published: June 25, 2024
In
the
race
toward
autonomous
vehicle
solutions,
providers
engage
in
disruptive
market-shaping
processes
to
overcome
barriers
commercialization
and
trigger
market
formation.
This
study
investigates
how
unfold
by
employing
a
multiple
case
of
10
AVS
providers.
Our
findings
reveal
process
comprising
four
dimensions:
shaping
value
logic,
nurturing
demand
side,
forging
ecosystem
alliances,
catalyzing
institutional
changes.
Furthermore,
we
analyze
temporal
unfolding
these
activities
illustrate
comprehensive
three
phases:
exploration,
preparation,
experimentation.
We
make
significant
contributions
literature.
By
showing
empirically
unfold,
refine
existing
knowledge
on
broader
formation
stage,
anchoring
it
emergence
new
markets.
framework
offers
micro-level
insights
into
sequencing
phases
embedded
argue
that
successful
is
contingent
creating
an
attractive
proposition.
Finally,
identify
foundational
required
advance
solutions.
find
granular
systems
logic
reveals
AVS's
true
value,
questioning
traditional
paving
way
for
sustainable,
future.
Systems,
Journal Year:
2024,
Volume and Issue:
12(9), P. 330 - 330
Published: Aug. 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,
Journal Year:
2024,
Volume and Issue:
11, P. 33 - 52
Published: Oct. 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,
Journal Year:
2024,
Volume and Issue:
16(22), P. 9952 - 9952
Published: Nov. 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.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
20(7s), P. 1230 - 1247
Published: May 4, 2024
This
research
article
investigates
challenges
and
innovative
procurement
approaches
within
the
Service
Sector.
Specifically,
through
lens
of
ten
diverse
global
companies
service
sector,
where
traditional
processes
are
being
transformed
software,
yet
complexity
in
implementing
software
is
ever
on
rise
with
need
for
customization,
integration,
user
adoption
compliance
regulation
security.
Add
to
this,
cost
implications
constant
improvements
technology
a
picture
faced
painted.
study
examines
multifaceted
by
operating
sector
how
they
implement
strategies
overcome
challenges.
The
looks
at
challenges,
solutions
that
have
been
designed
implemented
successful
been.
A
detailed
analysis
individual
cases,
utilities
transformers
entertainment,
impact
collaborative
organizational
culture
these
presented.
results
provide
richer
understanding
can
be
applied
insight
into
success
failure
reasons
why,
strategy
collaboration
cultures
providing
keys
success.
Additionally,
gaps
literature
lead
areas
further
2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA),
Journal Year:
2024,
Volume and Issue:
45, P. 1 - 6
Published: May 23, 2024
The
subject
of
artificial
intelligence
is
nowadays
very
topical
and
popular
in
business
circles.
However,
the
published
scholarly
literature
reveals
a
gap
no
relevant
scientific
findings
regarding
application
economics
business-related
literature.
overarching
objective
this
paper
to
survey,
identify
qualitatively
analyse
all
studies
area
research
with
leading
nonparametric
DEA
(Data
Envelopment
Analysis)
methodology
thus
far,
as
well
reveal
their
findings,
map
some
hotspots
trends
conclude
state
art
area.
Moreover,
another
goal
provide
theoretical
background
concept
(AI)
methodology.
Systematic
reviews
(SLR)
have
been
accepted
an
expedient
for
presentation
academic
community.
Therefore,
systematic
review
combining
both
electronic
manual
searches
using
keywords
"DATA
ENVELOPMENT
ANALYSIS"
"ARTIFICIAL
INTELLIGENCE"
was
suitable
study.
resulted
identification
10
papers
employing
AI.
specific
areas
AI
business,
suggestions
guidelines
future
work
are
provided.
practical
contributions
study
twofold.
First,
presented,
second,
it
provides
crucial
information
research,
which
valuable
regulatory
bodies,
governments
potential
inventors
software
engineers.
Journal of Enterprise Information Management,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 19, 2024
Purpose
The
research
aims
to
explore
the
dynamic
relationship
between
digital
service
innovation
(DSI),
artificial
intelligence
(AI)
and
business
performance
(BPer)
in
service-based
models
with
a
focus
on
how
AI-enhanced
insights
from
use
customer
feedback
can
strengthen
strategies.
are
show
that
DSI
AI
key
driving
growth
efficiency
economy
underscore
AI’s
role
utilizing
contextual
data
improve
decision-making
outcomes.
Design/methodology/approach
study
uses
general
structural
equation
modeling
analyze
Spanish
manufacturing
firms,
focusing
medium-sized
enterprises
including
both
business-to-business
business-to-consumer
orientations.
Data
drawn
Iberian
Balance
Analysis
System
[Sistema
de
Análisis
Balances
Ibéricos
(SABI)]
database,
complemented
by
Qualtrics
survey
assess
integration
of
processes.
methodology
is
designed
evaluate
interplay
DSI,
BPer,
aim
identifying
actionable
for
Findings
clarifies
relationships
providing
new
theoretical
empirical
insights.
findings
confirm
DSI's
direct
positive
impact
suggest
nuanced
mediating
role,
emphasizing
need
strategic
DSI-AI
firms
enhanced
performance.
Research
limitations/implications
explains
synergistic
bond
boosting
BPer
discovering
by-product
be
transformed
into
Practical
implications
This
advises
sector
leaders
integrate
competitive
advantage,
value
high-quality,
learning
decision-making.
Originality/value
Researchers
will
observe
confirms
while
also
highlighting
significant
enhancing
this
effect.
