Sinergi International Journal of Logistics,
Journal Year:
2024,
Volume and Issue:
2(4), P. 264 - 276
Published: Nov. 30, 2024
This
study
investigates
the
synergy
between
green
procurement
and
logistics
within
context
of
sustainable
supply
chain
management.
The
objective
is
to
explore
how
integrating
these
two
elements
can
enhance
environmental
performance
operational
efficiency.
A
narrative
review
methodology
was
employed,
synthesizing
literature
from
peer-reviewed
databases
such
as
Scopus
Web
Science.
results
highlight
significant
role
digital
technologies
reverse
in
fostering
procurement-logistics
integration.
Organizational
leadership,
technological
capacity,
interdepartmental
collaboration
emerged
key
enablers,
while
structural
barriers
insufficient
infrastructure
were
identified
major
obstacles.
emphasizes
need
for
supportive
policy
frameworks
data-driven
interventions
promote
adoption
integrated
practices.
It
also
calls
further
research
into
long-term
effects
integration
exploration
cross-national
differences
implementation.
findings
suggest
that
a
holistic,
systems-based
approach
essential
advancing
solutions.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(3), P. 823 - 823
Published: Jan. 21, 2025
This
paper
examines
the
intertwined
dynamics
among
digital
transformation,
IT
innovation,
and
sustainability
their
collective
influence
on
firm
performance
in
response
to
evolving
business
landscape
characterized
by
digitalization,
concerns.
The
study
investigates
how
these
factors
collectively
impact
analyzing
a
panel
dataset
of
1510
global
companies
from
2013–2023.
model
utilizes
multiple
linear
regression
analysis
incorporate
scores
as
dependent
variable.
At
same
time,
are
independent
variables,
alongside
firm-level
control
variables.
results
reveal
that
transformation
positively
influences
innovation
strategic
(BM)
development,
confirming
its
direct
performance.
Additionally,
firms
with
simpler
younger
structures
achieve
better
outcomes
than
larger
more
established
ones.
However,
has
limitations,
it
is
based
spanning
11
years;
extending
different
longer
period
could
provide
insights
into
nature
which
inherently
dynamic.
groundbreaking
exploring
factors,
offering
unique
perspective
through
an
11-year
focus
assessing
dynamic
models.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(14), P. 6186 - 6186
Published: July 19, 2024
In
the
post-pandemic
era,
uncertain
global
market
and
rising
social-environmental
issues
drive
organizations
to
adapt
their
supply
chain
strategies
more
dynamic,
flexible
models,
leveraging
advanced
technologies
like
AI,
big
data
analytics,
decision
support
systems.
This
review
paper
aims
examine
current
research
on
AI-integrated
in
sustainable
management
(SSCM)
inform
future
directions.
We
adopted
bibliometric
text
analysis,
targeting
170
articles
published
between
2004
2023
from
Scopus
database
following
PRISMA
(Preferred
Reporting
Items
for
Systematic
Reviews
Meta-Analyses)
protocol.
confirm
that
have
demonstrated
capability
enable
SSCM
across
various
sectors.
generated
ten
topics
using
Latent
Dirichlet
Allocation
(LDA)
method
proposed
20
propositions.
The
results
show
processes
primarily
address
sustainability,
focusing
environmental
economic
issues.
However,
there
is
still
a
technological
gap
tackling
social
working
conditions
fair
dealing.
Thus,
we
dynamic
framework
of
AI
help
researchers
practitioners
synthesize
optimize
models
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(3), P. 813 - 813
Published: Jan. 21, 2025
The
complex
integration
of
Industry
4.0
technologies
into
SMEs
necessitates
robust
frameworks
to
address
adoption
barriers
and
enhance
sustainability.
present
study
investigates
the
impact
artificial
intelligence
(AI),
Internet
Things
(IoT),
blockchain
on
smart
manufacturing,
logistics,
sustainability
in
SMEs.
Using
a
cross-sectional
design,
data
were
collected
from
300
across
retail
sectors
through
purposive
sampling,
focusing
technology
adoption,
performance
2018
2022.
Data
analyzed
using
advanced
machine
learning
models,
including
XG
Boost
Random
Forest,
alongside
Recursive
Feature
Elimination
(RFE)
for
dimensionality
reduction
quantile
regression
an
inferential
analysis.
Findings
revealed
that
IoT
improved
resource
utilization
efficiency,
while
enhanced
ethical
sourcing—furthermore,
AI-driven
predictive
maintenance
reduced
operational
downtimes.
achieved
Mean
Squared
Error
(MSE),
highlighting
its
superior
capability,
Forest
perfect
fitness
but
risked
overfitting.
However,
varied
significantly
firms
due
financial
technical
constraints,
with
reporting
limited
access
capital
skilled
labor.
This
underscores
need
policy
interventions
targeted
support
bridge
gaps.
advances
existing
body
knowledge
by
synergistic
benefits
integrating
SME
Practical
implications
include
recommendations
incentives,
support,
capacity-building
programs,
empowering
actionable
insights
overcome
achieve
sustainable
growth.
These
findings
offer
industry
leaders
policymakers’
drive
transformation
4.0,
them
make
difference.
Decision Analytics Journal,
Journal Year:
2024,
Volume and Issue:
11, P. 100469 - 100469
Published: April 21, 2024
This
research
examines
the
factors
that
influence
implementation
of
green
procurement
in
small
and
medium
enterprises
(SMEs),
namely
top
management
commitment,
regulations,
costs,
pressure
from
consumers,
transformational
leadership
as
moderation.
The
employs
a
quantitative
approach
with
206
samples
Indonesian
SME
industry.
It
utilizes
Structural
Equation
Modeling
(SEM)
Fuzzy-set
Qualitative
Comparative
Analysis
(FsQCA).
data
set
includes
such
consumer
pressure,
moderation
variables.
results
show
customer
procurement.
role
moderating
variable
shows
only
strengthens
costs
on
regulation
Meanwhile,
commitment
to
does
not
strengthen
these
research's
novelty
lies
combining
SEM
FsQCA
analyze
causal
relationships
among
variables
influencing
SMEs.
highlights
importance
understanding
effectively
managing
for
organizations
adopting
practices.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(18), P. 7999 - 7999
Published: Sept. 13, 2024
This
study
centers
on
sustainable
operations
management
within
the
energy
sector,
identifying
and
synthesizing
effective
strategies
for
integrating
sustainability
into
business
practices.
We
perform
a
systematic
literature
review
covering
contributions
from
January
2000
to
June
2024
extracted
Web
of
Science
Scopus
databases.
The
methodology
includes
an
explicit
search
selection
protocol
ensure
relevant
unbiased
insights
evolution
practices
in
sector.
results
indicate
increase
publications
over
years,
particularly
areas
such
as
low-carbon
economies,
environmental
management,
innovation,
all
which
are
crucial
reducing
carbon
footprints
enhancing
operational
sustainability.
categorizes
existing
research
five
main
streams:
Closed
Loop
Supply
Chains
(CLSC),
Low
Carbon
Economy
(LCE),
Environmental
Management
Performance
(EMP),
Innovation
(INN),
Social
Responsibility
(SR).
underscores
significant
gap
between
current
potential
incorporating
renewable
sources
systems.
In
addition,
it
highlights
need
robust
governmental
policies
international
cooperation
order
foster
more
rapid
transition
towards
Furthermore,
our
findings
suggest
that
despite
technological
advances,
implementation
gaps
remain
require
focused
policy
adjustments
achieve
targets
Energies,
Journal Year:
2025,
Volume and Issue:
18(2), P. 430 - 430
Published: Jan. 19, 2025
(1)
Background:
Digital
transformation
is
critical
in
further
developing
the
energy
supply
chain.
The
attainment
of
successive
levels
digital
maturity
by
chain
participants
translates
into
numerous
benefits
related
to
efficiency,
cost,
and
effectiveness
flows
implemented.
However,
increasing
degree
digitalisation
automation
generates
an
increased
risk
cyberattacks
other
challenges
operation
smart
grid.
This
paper
presents
results
a
literature
review
describing
phenomenon
(2)
Methods:
was
performed
using
two
methods.
First,
systematic
conducted
PRISMA
method.
due
unsatisfactory
results,
this
supplemented
search
supporting
narrative
review.
(3)
Results:
Analysing
identified
publications
made
it
possible
distinguish
nine
leading
research
trends
These
were
characterised
based
on
described
all
articles
classified
corresponding
categories.
(4)
Conclusions:
presented
provide
interesting
material
for
building
resilience
selected
Industry
4.0
tools
assessing
managing
risks
associated
with
sector.
