Introduction:
The
study
explored
the
impact
of
global
competitiveness
and
technological
progress
on
enhancing
economic
sustainability
within
framework
globalization.Methods:
A
comprehensive
survey
was
conducted,
gathering
data
from
210
respondents.
Logit
regression
analysis
used
to
assess
influence
innovation,
competitiveness,
technical
outcomes.
Model
accuracy
tested
using
Receiver
Operating
Characteristic
(ROC)
curve.Results:
findings
showed
that
innovation
increased
likelihood
achieving
with
an
odds
ratio
2.34
(p
=
0.003).
Global
also
played
a
significant
role,
improving
by
1.90
times
0.008).
Technical
positively
influenced
sustainability,
1.62
0.025).
model's
predictive
validated
AUC
value
0.82.Conclusions:
emphasized
importance
fostering
strengthening
market
participation,
advancing
capabilities
drive
sustainability.
In
line
Sustainable
Development
Goals,
policymakers
business
leaders
should
prioritize
ecosystems
strategic
investments
in
technology
ensure
long-term
growth
resilience
globalized
economy
This
study
explores
the
evolution
and
impact
of
research
on
challenges
opportunities
in
implementation
artificial
intelligence
(AI)
manufacturing
between
2019
August
2024.
By
addressing
growing
integration
AI
technologies
sector,
seeks
to
provide
a
comprehensive
view
how
applications
are
transforming
production
processes,
improving
efficiency,
opening
new
business
opportunities.
A
bibliometric
analysis
was
conducted,
examining
global
scientific
production,
influential
authors,
key
sources,
thematic
trends.
Data
were
collected
from
Scopus,
detailed
review
publications
carried
out
identify
knowledge
gaps
unresolved
questions.
The
results
reveal
steady
increase
related
manufacturing,
with
strong
focus
automation,
predictive
maintenance,
supply
chain
optimization.
also
highlights
dominance
certain
institutions
authors
driving
this
field
research.
Despite
progress,
significant
remain,
particularly
regarding
scalability
solutions
ethical
considerations.
findings
suggest
that
while
holds
considerable
potential
for
industry,
more
interdisciplinary
is
needed
address
existing
maximize
its
benefits.
Sustainability,
Год журнала:
2025,
Номер
17(2), С. 789 - 789
Опубликована: Янв. 20, 2025
Purpose:
This
systematic
literature
review
analyzes
trends,
key
findings,
and
research
opportunities
in
manufacturing
sustainability
from
2019
to
2024,
with
a
focus
on
the
integration
of
emerging
technologies
socio-economic
dimensions.
Methodology:
181
publications
was
conducted,
emphasizing
technological
advancements,
gaps,
influence
global
events
sustainable
manufacturing.
Findings:
highlights:
(1)
shift
towards
advanced
like
AI-driven
circular
economy
solutions,
digital
twins,
blockchain,
which
have
demonstrated
potential
reduce
energy
consumption
by
30%
decrease
material
waste
20%,
significantly
enhancing
outcomes;
(2)
persistent
gaps
addressing
social,
policy,
regulatory
dimensions;
(3)
role
COVID-19
pandemic
accelerating
transformation
reshaping
priorities.
Key
findings
also
include
PT
Indocement
achieving
cumulative
35%
reduction
natural
gas
through
sustained
optimization
initiatives
12%
increase
adoption
among
SMEs
developing
regions.
Practical
implications:
strategic
recommendations
are
provided
for
industry,
policymakers,
academics
address
regional
disparities,
ensuring
50%
rates
inclusive
within
regions
over
next
five
years,
align
efforts
contexts.
Originality:
this
presents
comprehensive
analysis
current
actionable
insights,
critical
areas
future
research,
highlighting
that
organizations
adopting
AI
blockchain
report
up
25%
improvement
operational
sustainability.
