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
RAM. Revista de Administração Mackenzie,
Journal Year:
2024,
Volume and Issue:
25(6)
Published: Jan. 1, 2024
Abstract
Purpose:
In
response
to
the
growing
integration
of
artificial
intelligence
(AI)
and
decision-making
(DM)
in
business
management,
this
study
endeavors
provide
a
comprehensive
understanding
theoretical
foundations,
research
trajectories,
emergent
themes
within
transformative
intersection.
By
elucidating
evolving
landscape
AI-driven
decision-making,
aims
offer
valuable
insights
for
scholars
practitioners,
fostering
informed
practices
strategic
advancements
contemporary
contexts.
Originality/value:
Methodologically,
casts
elements
AI
DM
by
conceptualizing,
examining,
reviewing
field’s
integration.
The
also
highlights
roots
classifies
main
literature
strand.
Design/methodology/approach:
conducted
bibliometric
analysis
494
journal
articles
at
intersection
management.
It
two
analyses:
co-citation
co-occurrence
analysis.
performed
qualitative
review
criticize
obtained
quantitative
results.
Findings:
This
contributes
domain’s
three
major
ways.
First,
showing
most
cited
references.
Second,
meta-analysis
shows
five
pioneering
studies
suggesting
following
stages.
Third,
four
distinct
are
identified:
1.
industry
society
impact,
2.
strategies,
3.
technological
applications,
4.
decision
systems.
Lastly,
results
highlighted
topics
future
qualitative,
quantitative,
mixed
methods
provided
recommendations
agendas
alongside
methodological
empirical
guidelines
further
investigations.
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
