STUDY ON THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN MATERIAL MOVEMENT BASED ON SCIENTIFIC PUBLICATIONS
Revista Multidisciplinar do Nordeste Mineiro,
Год журнала:
2025,
Номер
1(1), С. 1 - 13
Опубликована: Янв. 15, 2025
Artificial
intelligence
is
one
of
the
information
and
communication
technologies
that
has
promoted
major
transformations
in
organizations
their
production
processes,
especially
material
handling.
The
growing
number
published
studies
led
to
development
this
study,
which
aimed
describe
main
characteristics
report
application
artificial
method
used
was
conceptual
bibliographic,
bibliometric
design
based
on
four
stages:
formulation
research
questions,
collection
bibliographic
data,
analysis,
organization
collected
generation
answers
guiding
questions.
results
showed
focuses
applications
are
a)
improvement
optimization
logistics
process,
increased
rationality
human-machine
actions,
decision-making
b)
use
several
simultaneous
methods
techniques,
c)
facing
problematic
situations
at
problem-solving
technologies,
d)
multiple
tools,
e)
successful
have
competitiveness
handling
f)
opening
for
new
interconnected
applications.
conclusion
shows
using
provided
an
environment
enhancing
human
cognitive
capacity.
contribution
study
science
finding
professional
training
needs
incorporate
mastery
intelligence.
Язык: Английский
How do ambidextrous capabilities promote disruptive innovation in emerging markets, from the lens of knowledge-based view?
Journal of Knowledge Management,
Год журнала:
2025,
Номер
29(5), С. 1730 - 1752
Опубликована: Апрель 8, 2025
Purpose
To
adapt
to
the
rapidly
changing
competitive
environments,
firms
in
emerging
economies
must
constantly
adjust
and
renew
their
knowledge
develop
disruptive
innovation
sustain
advantages.
The
purpose
of
this
study
is
explain
how
combined
exploratory
exploitative
capabilities
(ambidextrous
capabilities)
can
contribute
specifically
innovation.
In
process
analyzing
influencing
mechanism
ambidextrous
on
innovation,
evaluated
mediating
roles
organizational
learning
moderating
institutional
support
based
knowledge-based
view.
Design/methodology/approach
Data
were
collected
from
315
senior
managers
manufacturing
China.
Hierarchical
regression
bootstrap
analysis
are
used
test
hypotheses
structural
models.
Findings
finding
shows
that
improve
through
as
they
replenish
base
firms.
Institutional
has
moderated
effects
relationship
between
Formal
strengthens
whereas
informal
weakens
effects.
Originality/value
This
theorizes
tests
indirect
drawing
view,
which
open
black
box
influence
provides
a
better
understanding
underlying
mechanisms
Moreover,
previous
studies
focused
mainly
developed
countries’
neglected
explore
contingent
conditions
different
environments.
By
introducing
support,
explores
complementary
research
economies.
Язык: Английский
SMEs perspective in Africa creating sustainable and resilient economies
African Identities,
Год журнала:
2025,
Номер
unknown, С. 1 - 4
Опубликована: Янв. 27, 2025
Язык: Английский
Driving SME Growth Through Digital Leadership: Exploring Tenure and Transformation Dynamics
Administrative Sciences,
Год журнала:
2025,
Номер
15(3), С. 104 - 104
Опубликована: Март 15, 2025
The
main
objective
of
this
study
is
to
investigate
the
role
digital
leadership
in
sustainability
SMEs.
Furthermore,
examines
mediating
transformation
between
and
SME
moderating
tenure
on
relationship
transformation.
This
research
provides
a
unique
perspective
by
exploring
these
connections
within
context
developing
countries
considering
Malaysia
as
case
study.
We
employed
structural
equation
modeling
(SEM)
technique
analyze
368
respondents’
data.
results
found
positive
SMEs’
sustainability.
it
also
revealed
significant
Examining
factors
provided
valuable
insights
for
SMEs
policymakers
alike.
Research
findings
contribute
both
theoretical
understanding
practical
applications.
Язык: Английский
Trends in Sustainable Inventory Management Practices in Industry 4.0
Processes,
Год журнала:
2025,
Номер
13(4), С. 1131 - 1131
Опубликована: Апрель 9, 2025
This
study
examines
52
recently
published
papers
on
sustainable
inventory
management
in
Industry
4.0,
intending
to
bridge
theory
and
practice
through
a
comprehensive
literature
review.
By
analyzing
the
latest
advancements
discussed
over
past
two
years,
covering
2024
2025,
we
identify
key
trends
shaping
field
highlight
existing
gaps
that
may
require
further
exploration.
Focusing
this
time
frame
is
particularly
relevant
because
it
reflects
how
companies
have
started
using
artificial
intelligence
more
practically
support
sustainability
goals.
During
these
AI
has
been
applied
improve
tracked,
demand
predicted,
resources
are
managed
reduce
waste.
These
tools
making
supply
chains
efficient
while
helping
organizations
lower
their
environmental
impact.
In
regard,
our
work
aims
provide
deeper
understanding
of
strategies
evolving
response
technological
innovations,
offering
insights
for
researchers
practitioners
seeking
enhance
efficiency
responsibility
modern
chains.
Язык: Английский