Advances in logistics, operations, and management science book series,
Год журнала:
2025,
Номер
unknown, С. 119 - 156
Опубликована: Янв. 24, 2025
This
chapter
aims
to
provide
actionable
strategies
for
empowering
leaders
in
leveraging
technology
amplify
their
leadership
efficacy
contemporary
business
environments
by
employing
extensive
literature
review
and
deep
learning
models,
a
method
Artificial
Intelligence
(AI).
It
investigates
the
effectiveness
of
three
approaches—Transformational,
Transactional,
Servant
Leadership—in
meeting
high-performance
expectations
within
organizational
contexts.
The
performance
these
styles
based
on
scores
have
been
analyzed
using
data
analysis
techniques
neural
network
including
Generative
Adversarial
Networks
(GANs)
Variational
Autoencoders
(VAEs).
Furthermore,
Deep
Convolutional
(DCGANs),
utilized
visualize
complex
dynamics.
findings
from
this
comprehensive
valuable
insights
into
strengths
limitations
each
approach,
guiding
strategic
development
initiatives
decision-making
processes.
Advances in business strategy and competitive advantage book series,
Год журнала:
2025,
Номер
unknown, С. 71 - 98
Опубликована: Янв. 3, 2025
Artificial
Intelligence
(AI)
is
transforming
the
way
businesses
work,
driving
a
fundamental
instability
in
traditional
business
paradigms.
This
chapter
addresses
role
of
AI
model
innovation,
investigating
how
companies
employ
technologies
to
enhance
decision-making,
optimize
processes,
and
generate
new
value
propositions.
By
integrating
into
may
change
from
static,
linear
models
dynamic,
data-driven
strategies,
allowing
for
better
scalability
agility.
Through
series
case
studies
examples,
illustrates
significant
sectors
industries
where
AI-driven
have
arisen.
It
also
covers
barriers
adoption,
including
technological,
ethical,
organizational
hurdles,
offers
insights
future
trends
developing
landscape
AI-powered
transformations.
Advances in finance, accounting, and economics book series,
Год журнала:
2025,
Номер
unknown, С. 199 - 224
Опубликована: Фев. 7, 2025
This
chapter
examines
how
automating
business
processes
and
changing
management
practices
can
be
achieved
through
the
use
of
artificial
intelligence
(AI).
It
draws
attention
to
increasing
AI
across
a
range
industries
emphasizes
it
improve
productivity
judgment
overall
performance.
The
looks
at
major
managerial
tasks
that
supports
like
employee
engagement
performance
offers
case
studies
real-world
application
insights.
Businesses
without
sacrificing
data
security
or
fairness
by
taking
ethical
issues
privacy
concerns
significance
responsible
deployment
into
account.
potential
for
ongoing
innovation
difficulties
businesses
may
encounter
in
putting
these
technologies
practice
are
highlighted
this
exploration
future
trends
AI-powered
automation.
looking
implement
their
best
practical
lessons
gleaned
from
industry
as
guide.
