Systems,
Год журнала:
2025,
Номер
13(1), С. 47 - 47
Опубликована: Янв. 12, 2025
Artificial
intelligence
(AI)
is
an
increasingly
notable
presence
in
society,
industries,
and
organizations,
making
its
necessity
felt
more
managerial
decisions
practices.
This
paper
aims
to
outline
the
importance
of
topic
related
increase
adaptability,
agility,
resilience
management
system
as
a
result
AI
integration,
resorting
bibliometric
type
research.
A
total
107
papers
from
period
2007–2024
exported
Web
Science
Core
Collection
database
were
analyzed,
with
support
Biblioshiny
software.
proving
be
one
heightened
global
interest,
being
comprehensively
addressed
by
world
leaders
research
technologies
such
United
States,
China,
Great
Britain,
France,
India,
beyond.
Collaborative
relationships
established
between
geographic
regions
are
captured,
noting
power
expansion
theme
on
all
continents
globe.
Likewise,
thematic
strategic
evolution
characterized
surprising
one,
managing
incorporate
relate
concepts
strong
technical
IT
character
feature
extraction,
machine
learning,
reinforcement
learning
nature
supporting
customer-tailored
interaction,
employee
skills
development,
company
productivity,
innovation.
International Journal For Multidisciplinary Research,
Год журнала:
2024,
Номер
6(4)
Опубликована: Июль 23, 2024
This
integrative
literature
review
investigates
the
transformative
impact
of
artificial
intelligence
(AI)
on
supply
chain
management,
addressing
pressing
need
for
efficiency
and
robustness
through
AI-driven
predictive
maintenance,
machine
learning
(ML),
decision
support
systems.
By
examining
current
literature,
study
highlights
AI's
potential
to
automate
revolutionize
operations,
enhancing
speed,
accuracy,
risk
management
capabilities
while
identifying
significant
challenges
such
as
bias
mitigation,
algorithmic
transparency,
data
privacy.
The
methodology
involves
a
comprehensive
scholarly
articles,
reports,
academic
publications,
focusing
AI
applications
in
decision-making
processes.
analysis
reveals
improvements
operational
accuracy
due
AI,
alongside
concerns
about
biases,
implementation
issues.
findings
confirm
but
emphasize
necessity
ongoing
supervision,
regular
audits,
development
models
capable
detecting
rectifying
anomalies.
proposes
creating
roles
Supply
Chain
Oversight
Officer
(AISCO),
Compliance
(AISCCO),
Quality
Assurance
(AISQAO)
ensure
responsible
utilization,
maintaining
integrity
operations
challenges.
concludes
that
is
promising
transforming
chains;
however,
careful
crucial
uphold
resilience.
Future
research
should
prioritize
longitudinal
studies
evaluate
long-term
impact,
focus
concerns,
fair
transparent
integration
technologies.
These
have
implications
practice
policy,
underscoring
robust
frameworks
regulatory
measures
guide
effective
use
chains.
World Journal of Advanced Research and Reviews,
Год журнала:
2023,
Номер
21(2), С. 359 - 370
Опубликована: Фев. 28, 2023
This
Review
provides
a
glimpse
into
the
comprehensive
examination
of
transformative
impact
Artificial
Intelligence
(AI)
on
auditing
practices
globally.
The
review
delves
multifaceted
ways
in
which
AI
technologies
are
reshaping
traditional
methodologies,
bringing
about
efficiency,
accuracy,
and
adaptability
face
an
evolving
business
landscape.
global
perspective
this
encompasses
diverse
industries
jurisdictions,
offering
insights
how
is
redefining
audit
landscape
universal
scale.
analysis
explores
integration
AI-driven
tools
processes,
emphasizing
enhanced
capabilities
for
data
analysis,
anomaly
detection,
risk
assessment.
Key
themes
include
automation
routine
tasks
through
AI,
enabling
auditors
to
focus
complex
analyses
strategic
decision-making.
also
potential
challenges
ethical
considerations
associated
with
adoption
auditing,
recognizing
need
balance
between
technological
advancement
maintaining
quality
integrity.
Through
survey
case
studies
real-world
implementations,
highlights
successful
instances
application
across
various
sectors.
It
elucidates
algorithms
contribute
real-time
providing
dynamic
financial
data,
fraud
compliance
monitoring.
concludes
by
underlining
significance
shaping
future
practices.
calls
attention
imperative
industry
stakeholders,
regulators,
embrace
power
responsibly.
As
technology
continues
evolve,
encourages
forward-looking
approach,
fostering
collaborative
environment
that
harnesses
benefits
while
addressing
ensure
continued
trustworthiness
effectiveness
worldwide.
SSRN Electronic Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
In
a
rapidly
changing
supply
chain
world,
resilience
and
being
nimble
is
even
more
important
now
than
ever
before
with
worldwide
interruptions.
This
paper
introduces
new,
cloud-free
paradigm
to
improve
using
real
time
predictive
models
followed
by
deep
learning-based
anomaly
detection
finally
dynamic
optimization.
To
help
you
contend
varying
supply-side
constraints
demand,
shipment
delays
the
system
combines
real-time
data
processing
alongside
machine
learning
techniques
like
Random
Forest,
XGBoost
informational
adapt
changes
in
environment.
addition
this,
autoencoders
fraud
detecting
correcting
pernicious
outlier
of
which
can
create
chaos
your
accuracy
work.
SHAP-based
transparency
adds
interpretability
black
box,
generated
making
outputs
understandable
allowing
policymakers
know
what
are
main
drivers
behind
models(outputs).
They
want
solution
that
puts
everything
under
one
umbrella
optimize
inventory,
cut
down
shipping
disruptions
sends
overall
performance
into
overdrive.
The
approach
also
scalable
actionable,
enabling
businesses
better
predict
handle
agile
accurate
manner.
Systems,
Год журнала:
2025,
Номер
13(1), С. 47 - 47
Опубликована: Янв. 12, 2025
Artificial
intelligence
(AI)
is
an
increasingly
notable
presence
in
society,
industries,
and
organizations,
making
its
necessity
felt
more
managerial
decisions
practices.
This
paper
aims
to
outline
the
importance
of
topic
related
increase
adaptability,
agility,
resilience
management
system
as
a
result
AI
integration,
resorting
bibliometric
type
research.
A
total
107
papers
from
period
2007–2024
exported
Web
Science
Core
Collection
database
were
analyzed,
with
support
Biblioshiny
software.
proving
be
one
heightened
global
interest,
being
comprehensively
addressed
by
world
leaders
research
technologies
such
United
States,
China,
Great
Britain,
France,
India,
beyond.
Collaborative
relationships
established
between
geographic
regions
are
captured,
noting
power
expansion
theme
on
all
continents
globe.
Likewise,
thematic
strategic
evolution
characterized
surprising
one,
managing
incorporate
relate
concepts
strong
technical
IT
character
feature
extraction,
machine
learning,
reinforcement
learning
nature
supporting
customer-tailored
interaction,
employee
skills
development,
company
productivity,
innovation.
