Deleted Journal,
Journal Year:
2024,
Volume and Issue:
3(4), P. 101 - 109
Published: Sept. 27, 2024
Students
at
public
senior
high
school
1
Long
Bagun
consider
vocabulary
learning
difficult.
In
fact,
is
an
important
element
in
communication.
The
purpose
of
this
study
was
to
determine
the
effect
using
smartphones
as
a
medium
on
improving
students'
vocabulary.
This
type
research
employs
descriptive
qualitative
approach,
incorporating
phenomenological
perspective.
subjects
were
students
Bagun,
East
Kalimantan.
We
collected
data
through
interviews
and
documentation.
analysis
technique
employed
methods
such
reduction,
presentation,
conclusion/verification
drawing.
results
indicate
that
there
increase
mastery
after
medium.
overall
exercise
clearly
demonstrate
this.
Up
90%
can
enhance
their
practice,
indicating
use
aids
enrichment.
Furthermore,
observations
reveal
find
motivation
teaching
process
when
conclusion,
has
significant
impact
mastery.
International Journal of Management & Entrepreneurship Research,
Journal Year:
2024,
Volume and Issue:
6(3), P. 707 - 721
Published: March 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.
Information,
Journal Year:
2024,
Volume and Issue:
15(5), P. 268 - 268
Published: May 9, 2024
Artificial
intelligence
(AI)
and
blockchain
technology
have
emerged
as
increasingly
prevalent
influential
elements
shaping
global
trends
in
Information
Communications
Technology
(ICT).
Namely,
the
synergistic
combination
of
AI
introduces
beneficial,
unique
features
with
potential
to
enhance
performance
efficiency
existing
ICT
systems.
However,
presently,
confluence
these
two
disruptive
technologies
remains
a
rather
nascent
stage,
undergoing
continuous
exploration
study.
In
this
context,
work
at
hand
offers
insight
regarding
most
significant
intersection.
Sixteen
outstanding,
recent
articles
exploring
been
systematically
selected
thoroughly
investigated.
From
them,
fourteen
key
extracted,
including
data
security
privacy,
encryption,
sharing,
decentralized
intelligent
systems,
efficiency,
automated
decision
collective
making,
scalability,
system
security,
transparency,
sustainability,
device
cooperation,
mining
hardware
design.
Moreover,
drawing
upon
related
literature
stemming
from
major
digital
databases,
we
constructed
timeline
technological
convergence
comprising
three
eras:
emerging,
convergence,
application.
For
era,
categorized
pertinent
into
primary
groups:
manipulation,
applicability
legacy
issues.
application
elaborate
on
impact
fusion
perspective
five
distinct
focus
areas,
Internet
Things
applications
cybersecurity,
finance,
energy,
smart
cities.
This
multifaceted,
but
succinct
analysis
is
instrumental
delineating
pinpointing
characteristics
inherent
their
integration.
The
paper
culminates
by
highlighting
prevailing
challenges
unresolved
questions
AI-based
thereby
charting
avenues
for
future
scholarly
inquiry.
Sustainable Production and Consumption,
Journal Year:
2024,
Volume and Issue:
47, P. 87 - 104
Published: April 4, 2024
Recently,
the
academic
and
scientific
debate
has
been
strongly
focused
on
use
of
digital
technologies
to
address
sustainability
issues.
In
particular,
could
be
key
achieving
Sustainable
Development
Goals
(SDGs)
declared
in
2030
Agenda.
Although
several
studies
have
combination
SDGs,
current
research
less
analyzed
them
considering
specific
business
functions
processes.
Hence,
this
article
aims
provide
a
comprehensive
overview
triple
link
"digital
-
processes
SDGs"
production
systems.
The
proposes
mixed
approach
based
an
extensive
literature
review
application
association
rules
technique.
Specifically,
study
collected
2496
sustainable
practices
supported
by
11
within
42
for
achievement
17
SDGs.
Then,
paper
employed
Apriori
algorithm
intercept
main
combinations
between
technologies,
processes,
results
suggest
that
artificial
intelligence,
geospatial
blockchain,
Internet
Things,
3D
printing
can
contribute
SDGs
6,7,
12,
13
different
provides
implications
managers
policymakers
direct
their
strategy
technological
choices
adoption
geared
toward
Sustainable Development,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 27, 2024
Abstract
Digital
technologies
have
the
potential
to
support
achieving
Sustainable
Development
Goals
(SDGs).
Existing
scientific
literature
lacks
a
comprehensive
analysis
of
triple
link:
“digital
–
different
industry
sectors
SDGs”.
By
systematically
analyzing
extant
literature,
1098
sustainable
business
practices
been
collected
from
578
papers,
using
11
digital
in
17
industries
achieve
SDGs.
For
instance,
find
that
artificial
intelligence
can
be
used
affordable
and
clean
energy
(SDG
7),
responsible
consumption
production
12)
as
well
address
climate
change
13).
Further,
geospatial
may
applied
agricultural
reduce
hunger
various
domains
2),
foster
good
health
well‐being
3),
improve
availability
water
sanitation
facilities
6),
raise
awareness
on
12),
safeguard
life
land
15),
among
other
insights.
Platforms,
Journal Year:
2025,
Volume and Issue:
3(2), P. 6 - 6
Published: April 9, 2025
Efficient
supply
chain
management
(SCM)
is
essential
for
enterprises
seeking
to
enhance
operational
efficiency,
reduce
costs,
and
mitigate
risks
while
ensuring
product
quality
customer
satisfaction.
Addressing
concerns
within
the
proactively
helps
minimize
rework,
recalls,
returns,
leading
significant
cost
savings
improved
profitability.
This
study
presents
a
machine
learning
(ML)-driven
predictive
analytics
framework
designed
forecast
defect
rates
optimize
control
processes.
The
research
leverages
dataset
sourced
from
real-world
fashion
beauty
startup,
hosted
in
public
repository.
employs
advanced
ML
algorithms,
including
extreme
gradient
boosting
(XGBoost),
support
vector
machines
(SVMs),
random
forests
(RFs),
accurately
predict
derive
actionable
insights
optimization.
Results
demonstrate
effectiveness
of
improving
management,
enabling
rates,
return
on
investment
(ROI).
proposed
be
scalable
transferable,
adaptability
across
various
industries,
fashion,
e-commerce,
manufacturing.
These
findings
underscore
economic
benefits
integrating
into
control,
offering
data-driven,
proactive
approach
achieving
high-efficiency,
high-quality
operations.
