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.
Magna Scientia Advanced Research and Reviews,
Год журнала:
2024,
Номер
10(2), С. 138 - 145
Опубликована: Март 30, 2024
The
review
delves
into
the
pivotal
role
of
technology
in
revolutionizing
supply
chain
risk
management
practices
within
logistics
sector.
paper
explores
myriad
risks
faced
by
modern
chains,
ranging
from
natural
disasters
and
geopolitical
tensions
to
cyber
threats
disruptions
global
trade
patterns.
It
investigates
how
technological
innovations
such
as
blockchain,
Internet
Things
(IoT),
artificial
intelligence
(AI),
predictive
analytics
are
reshaping
traditional
approaches
providing
real-time
visibility,
data-driven
insights,
proactive
mitigation
strategies.
Through
a
comprehensive
analysis,
study
examines
transformative
potential
these
technologies
enhancing
resilience,
agility,
responsiveness
unforeseen
disruptions.
highlights
benefits
leveraging
blockchain
for
secure
transparent
transactions,
IoT
sensors
monitoring
goods
transit,
AI
algorithms
modeling,
identifying
mitigating
before
they
escalate.
Furthermore,
challenges
complexities
associated
with
adopting
integrating
existing
processes,
including
interoperability
issues,
data
privacy
concerns,
need
specialized
expertise.
By
practical
case
studies,
best
practices,
aims
empower
professionals,
policymakers,
industry
stakeholders
harness
full
technology-driven
solutions
managing
effectively
ensuring
business
continuity
an
increasingly
uncertain
volatile
environment.
World Journal of Advanced Research and Reviews,
Год журнала:
2024,
Номер
21(3), С. 1262 - 1268
Опубликована: Март 17, 2024
The
pursuit
of
Artificial
General
Intelligence
(AGI)
has
captivated
researchers
and
industry
leaders
alike,
promising
a
future
where
machines
possess
human-like
cognitive
abilities.
However,
this
ambitious
endeavor
is
fraught
with
multifaceted
challenges
ethical
dilemmas
that
necessitate
careful
examination.
This
critical
review
surveys
the
landscape
AGI
research,
identifying
key
hurdles
considerations
while
outlining
potential
pathways
forward.
Firstly,
technical
loom
large
on
path
to
AGI.
These
encompass
fundamental
problems
such
as
developing
robust
learning
algorithms
capable
generalizing
across
diverse
domains,
well
engineering
systems
can
exhibit
adaptive
autonomous
behavior
akin
human
intelligence.
Additionally,
ensuring
safety
reliability
presents
formidable
obstacle,
concerns
ranging
from
algorithmic
bias
for
catastrophic
outcomes
in
unanticipated
scenarios.
Ethical
permeate
every
facet
development
deployment.
Questions
accountability,
transparency,
control
surface
central
concerns,
implications
relinquishing
decision-making
authority
raise
profound
dilemmas.
Moreover,
socio-economic
ramifications
widespread
adoption,
including
job
displacement
inequality,
demand
scrutiny
proactive
mitigation
strategies.
Navigating
these
requires
concerted
effort
interdisciplinary
stakeholders.
Collaboration
between
computer
scientists,
ethicists,
policymakers,
public
essential
establish
frameworks
responsible
deployment
fostering
an
inclusive
dialogue
prioritizes
principles
societal
values
paramount
shaping
augments
capabilities
safeguarding
against
risks.
While
holds
immense
promise,
its
realization
demands
holistic
approach
addresses
alongside
considerations.
By
charting
forward
safety,
governance,
we
harness
transformative
alignment
interests.
World Journal of Advanced Research and Reviews,
Год журнала:
2024,
Номер
22(1), С. 1209 - 1220
Опубликована: Апрель 26, 2024
Requirements
elicitation
is
a
crucial
phase
in
the
software
development
lifecycle,
ensuring
that
stakeholders'
needs
are
understood
and
translated
into
system
specifications.
Traditional
methods
often
face
challenges
such
as
ambiguity,
inconsistency,
evolving
requirements,
leading
to
project
delays
cost
overruns.
This
review
proposes
conceptual
model
integrates
advancements
innovations
requirements
address
these
comprehensively.
The
proposed
leverages
various
techniques,
including
but
not
limited
to,
natural
language
processing
(NLP),
machine
learning
(ML),
human-computer
interaction
(HCI),
enhance
accuracy
efficiency
of
elicitation.
NLP
techniques
enable
automated
analysis
textual
documents,
extracting
key
information
identifying
implicit
requirements.
ML
algorithms
facilitate
prediction
potential
changes
based
on
historical
data
context,
enabling
proactive
management
Moreover,
integration
HCI
principles
process
enhances
stakeholder
engagement
collaboration.
Interactive
interfaces
visualization
tools
stakeholders
provide
feedback
real-time,
fostering
more
iterative
participatory
approach
requirement
gathering.
Additionally,
prototyping
simulation
early
validation
reducing
risk
misinterpretation
alignment
with
expectations.
Furthermore,
emphasizes
importance
context-awareness
By
considering
organizational,
cultural,
environmental
context
project,
adapts
its
strategies
suit
specific
constraints.
Context-awareness
also
enables
identification
may
be
explicitly
stated
for
success
system.
addresses
challenge
managing
conflicting
by
introducing
systematic
prioritization
negotiation.
employing
multi-criteria
decision-making
can
collaboratively
prioritize
their
importance,
feasibility,
impact
objectives.
Conflict
resolution
mechanisms
consensus-building
trade-off
analysis,
final
set
reflects
collective
interests
all
stakeholders.
nature
elicitation,
advocating
continuous
refinement
throughout
lifecycle.
Feedback
loops
revise
changing
circumstances,
thereby
enhancing
adaptability
resilience
presented
this
represents
holistic
leveraging
technology,
human
interaction,
context-awareness.
integrating
elements,
aims
accuracy,
efficiency,
satisfaction
process,
ultimately
contributing
successful
delivery
high-quality
systems.
International Journal of Advanced Economics,
Год журнала:
2024,
Номер
6(4), С. 95 - 107
Опубликована: Апрель 26, 2024
Digital
transformation
has
emerged
as
a
critical
driver
of
innovation
and
efficiency
in
supply
chain
management,
reshaping
traditional
economic
paradigms
yielding
profound
practical
implications.
This
paper
delves
into
the
theory
underpinning
digital
optimization
explores
its
impacts
on
businesses
industries.
In
terms
theory,
we
examine
evolution
from
models
to
digitally-enabled
ecosystems.
The
integration
technologies
such
big
data
analytics,
artificial
intelligence,
blockchain
revolutionizes
dynamics,
enhancing
efficiency,
reducing
costs,
mitigating
risks.
Drawing
game
applications,
elucidate
strategic
interactions
among
stakeholders
implications
their
decision-making
processes.
Turning
impacts,
investigate
how
enables
enhanced
visibility,
real-time
tracking,
predictive
fostering
agility
responsiveness
operations.
Automation
AI-driven
insights
empower
decision-makers
optimize
resource
allocation
mitigate
disruptions
effectively.
Through
case
studies,
illustrate
tangible
benefits
advantages
accrued
by
organizations
embracing
transformation.
However,
this
is
not
devoid
challenges.
Cybersecurity
threats,
privacy
concerns,
complexities
legacy
systems
pose
significant
hurdles.
Addressing
these
challenges
necessitates
holistic
approach
encompassing
technological
innovation,
regulatory
frameworks,
workforce
development.
Looking
ahead,
future
trends
integration,
IoT
sustainability
initiatives
promise
further
advancements
optimization.
underscores
imperative
for
ongoing
research
adaptation
harness
full
potential
management.
Keywords:
Economic
Theory,
Practical
Impacts,
Transformation,
Supply
Chain
Optimization.
International Journal of Management & Entrepreneurship Research,
Год журнала:
2024,
Номер
6(3), С. 707 - 721
Опубликована: Март 16, 2024
The
integration
of
artificial
intelligence
(AI)
technologies
into
supply
chain
management
has
emerged
as
a
crucial
avenue
for
enhancing
efficiency,
agility,
and
responsiveness
in
modern
business
operations.
This
comprehensive
review
synthesizes
current
practices
future
potentials
leveraging
AI
optimization.
Beginning
with
an
overview
traditional
challenges,
the
elucidates
how
solutions
address
these
complexities
by
enabling
predictive
analytics,
real-time
visibility,
intelligent
decision-making.
delves
diverse
applications
across
different
stages
chain,
including
demand
forecasting,
inventory
management,
logistics
optimization,
supplier
relationship
management.
Examples
AI-driven
such
machine
learning,
natural
language
processing,
robotic
process
automation
are
analyzed
their
role
revolutionizing
Furthermore,
highlights
transformative
impact
on
resilience,
emphasizing
its
ability
to
mitigate
disruptions,
adapt
dynamic
market
conditions,
optimize
resource
allocation.
also
addresses
critical
considerations
data
privacy,
ethical
implications,
organizational
readiness
adoption
within
contexts.
Lastly,
discusses
research
directions
potential
advancements
AI-enabled
envisioning
autonomous
chains
characterized
self-learning
systems,
collaborative
ecosystems,
enhanced
sustainability
practices.
In
conclusion,
this
underscores
pivotal
driving
continuous
innovation
competitive
advantage
networks,
while
importance
strategic
planning
responsible
implementation
harness
full
potential.
Keywords:
AI,
Supply
Chain,
Optimization,
Practices,
Review.
International Journal of Management & Entrepreneurship Research,
Год журнала:
2024,
Номер
6(3), С. 815 - 837
Опубликована: Март 23, 2024
This
study
investigates
the
transformative
impact
of
predictive
analytics
on
enhancing
supply
chain
resilience
(SCR).
Employing
a
systematic
literature
review
and
content
analysis,
research
aims
to
explore
integration,
challenges,
strategic
implications
within
ecosystem.
Focusing
from
2014
2023,
synthesizes
insights
peer-reviewed
articles
conference
papers,
adhering
stringent
inclusion
exclusion
criteria
ensure
relevance
recency.
The
findings
reveal
that
significantly
contributes
agility,
flexibility,
responsiveness,
thereby
bolstering
SCR
against
disruptions.
Key
challenges
identified
include
data
privacy
concerns,
need
for
skilled
personnel,
integration
into
existing
frameworks.
Despite
these
future
outlook
in
SCM
is
promising,
with
potential
unprecedented
efficiency,
sustainability,
competitive
advantage.
Strategic
recommendations
practitioners
emphasize
importance
developing
capabilities,
prioritizing
governance,
continuous
staff
training.
For
policymakers,
suggests
standards
regulations
encourage
innovation
while
ensuring
ethical
use
analytics.
Finally,
pivotal
revolutionizing
SCM,
offering
pathways
innovation,
enhanced
resilience.
Future
should
focus
emerging
technologies,
frameworks,
overcoming
adoption
barriers,
particularly
SMEs
economies.
underscores
critical
role
driving
forward
agenda
practice
this
evolving
field.
Keywords:
Predictive
Analytics,
Supply
Chain
Resilience,
Systematic
Literature
Review,
Implications.
World Journal of Advanced Research and Reviews,
Год журнала:
2024,
Номер
22(2), С. 612 - 618
Опубликована: Май 14, 2024
This
review
paper
delves
into
the
transformative
potential
of
advanced
risk
management
models
in
enhancing
resilience
and
efficiency
supply
chain
finance
(SCF).
By
examining
application
development
Artificial
Intelligence
(AI),
Machine
Learning
(ML),
Big
Data
analytics,
blockchain
technology,
highlights
their
role
transitioning
from
traditional
reactive
strategies
to
proactive
predictive
approaches.
Despite
promising
advantages,
also
addresses
significant
implementation
challenges,
model
limitations,
regulatory
ethical
considerations
accompanying
these
technological
advancements.
Recommendations
for
effective
deployment
areas
future
research,
particularly
overcoming
existing
hurdles
exploring
emerging
technologies,
are
discussed.
comprehensive
analysis
aims
guide
academics,
industry
professionals,
policymakers
harnessing
a
more
robust
SCF
ecosystem.
International Journal of Management & Entrepreneurship Research,
Год журнала:
2024,
Номер
6(3), С. 502 - 511
Опубликована: Март 7, 2024
The
integration
of
Artificial
Intelligence
(AI)
in
the
insurance
sector
has
ushered
a
new
era
personalized
products,
offering
enhanced
customer
engagement
and
satisfaction.
This
review
explores
transformative
potential
AI
reshaping
landscape
services,
focusing
specifically
on
augmentation
through
offerings.
AI-driven
algorithms
machine
learning
techniques
enable
insurers
to
analyze
vast
amounts
data
with
unprecedented
speed
accuracy,
facilitating
customization
products
meet
individual
needs.
By
leveraging
from
various
sources
such
as
IoT
devices,
social
media,
historical
claims
data,
can
gain
deeper
insights
into
behavior,
preferences,
risk
profiles.
Personalized
not
only
cater
unique
requirements
customers
but
also
foster
greater
by
tailored
recommendations,
proactive
management
solutions,
real-time
assistance.
Through
predictive
analytics,
anticipate
needs
allowing
offer
timely
relevant
thereby
enhancing
satisfaction
loyalty.
Moreover,
AI-powered
chatbots
virtual
assistants
serve
accessible
responsive
touchpoints
for
customers,
providing
instant
support,
guidance,
recommendations
throughout
lifecycle.
streamlining
communication
channels
seamless
interactions,
technologies
strengthen
bond
between
fostering
long-term
relationships
built
trust
transparency.
represents
pathway
towards
engagement.
harnessing
power
analytics
automation,
deliver
tailor-made
solutions
that
resonate
driving
higher
levels
satisfaction,
loyalty,
ultimately,
business
growth.
Keywords:
Intelligence,
Insurance,
Privacy-Enhanced,
Customer,
Engagement,
Review.
International Journal of Management & Entrepreneurship Research,
Год журнала:
2024,
Номер
6(3), С. 878 - 889
Опубликована: Март 23, 2024
The
review
delves
into
the
pivotal
role
of
technology
in
revolutionizing
supply
chain
risk
management
practices
within
logistics
sector.
paper
explores
myriad
risks
faced
by
modern
chains,
ranging
from
natural
disasters
and
geopolitical
tensions
to
cyber
threats
disruptions
global
trade
patterns.
It
investigates
how
technological
innovations
such
as
blockchain,
Internet
Things
(IoT),
artificial
intelligence
(AI),
predictive
analytics
are
reshaping
traditional
approaches
providing
real-time
visibility,
data-driven
insights,
proactive
mitigation
strategies.
Through
a
comprehensive
analysis,
study
examines
transformative
potential
these
technologies
enhancing
resilience,
agility,
responsiveness
unforeseen
disruptions.
highlights
benefits
leveraging
blockchain
for
secure
transparent
transactions,
IoT
sensors
monitoring
goods
transit,
AI
algorithms
modeling,
identifying
mitigating
before
they
escalate.
Furthermore,
challenges
complexities
associated
with
adopting
integrating
existing
processes,
including
interoperability
issues,
data
privacy
concerns,
need
specialized
expertise.
By
practical
case
studies,
best
practices,
aims
empower
professionals,
policymakers,
industry
stakeholders
harness
full
technology-driven
solutions
managing
effectively
ensuring
business
continuity
an
increasingly
uncertain
volatile
environment.
Keywords:
Technology,
Supply
Chain,
Risk
Management,
Innovations,
Challenges,
Logistics.
Businesses,
Год журнала:
2024,
Номер
4(1), С. 1 - 17
Опубликована: Янв. 24, 2024
The
COVID-19
pandemic
has
highlighted
the
need
for
a
paradigm
shift
in
supply
chain
and
logistics
operations
to
respond
myriad
disruptions.
However,
this
changed
be
more
resilient,
agile,
flexible,
adaptable
upcoming
Hence,
comprehensive
guide
understanding,
implementing,
harnessing
power
of
digitization
face
disruption,
leading
resilient
adaptive
global
community,
is
greatly
appreciated.
Thus,
study
aims
identify
strategies
used
complex
dynamic
nature
contemporary
landscape
these
Among
several
adopted
proposed,
systematic
review
examines
overall
efficiency
operational
resilience,
particularly
supplier
diversification,
investment
digital
technology,
adopting
flexible
manufacturing
models.
Following
rigorous
four-step
identification,
screening,
qualification,
inclusion
process,
focuses
on
real-time
visibility,
robust
risk
management,
data-driven
decision
making
determine
whether
future
disruptions
under
are
conducive.
Therefore,
review,
along
with
enhanced
resilience
strategies,
will
provide
resource
practitioners,
policymakers,
researchers
seeking
navigate
improve
