FARU Journal,
Год журнала:
2024,
Номер
11(2), С. 44 - 52
Опубликована: Дек. 30, 2024
The
shifting
industrial
landscape
of
Industry
5.0
demands
adaptability
to
technological
advancements,
emphasising
human-machine
interaction.
enabling
technologies
facilitate
the
transition
from
4.0
5.0,
ensuring
advancements
align
with
human
well-being
and
sustainability.
However,
limited
literature
exists
on
their
application
in
construction,
particularly
focusing
Addressing
this
gap,
study
investigates
how
use
sustainability
construction
industry,
through
a
qualitative
research
approach,
employing
two
rounds
semi-structured
expert
interviews
using
Delphi
technique.
Manual
content
analysis
was
used
analyse
empirical
data.
Findings
revealed
that
human-centricity,
sustainability,
resilience
are
key
elements
validating
applicability
construction.
This
further
highlights
nine
technologies,
including
Artificial
Intelligence,
Collaborative
Robots,
Digital
Twins
as
most
impactful
for
transforming
5.0.
Detailed
insights
were
gathered
leveraging
these
each
element.
findings
underscore
importance
integrating
advanced
improve
efficiency,
safety,
projects.
provides
strategic
industry
stakeholders
adopt
principles,
promoting
smarter,
more
resilient,
sustainable
practices.
PLoS ONE,
Год журнала:
2025,
Номер
20(3), С. e0316197 - e0316197
Опубликована: Март 11, 2025
The
inherent
unpredictability
within
the
low-carbon
integrated
supply
chain
logistics
network
complicates
its
management.
This
paper
endeavours
to
address
challenge
of
designing
a
context
uncertainty
and
with
consideration
policies.
It
also
identify
locations
facilities
appropriate
transportation
routes
between
nodes.
Robust
optimisation
fuzzy
programming
techniques
are
employed
examine
various
attributes
network.
In
addition,
strategic
planning
model
multi-level
forward/reverse
integration
is
examined,
aims
cost
minimisation
emission
reduction.
Extensive
computational
simulations
substantiate
efficacy
proposed
robust
model.
Moreover,
analytical
results
indicate
rationality
applicability
decisions
suggested
by
solution
approach.
Furthermore,
that
decision
maker
can
ascertain
derived
from
three
cases
considered
have
50%
probability
being
most
favourable
outcomes.
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 2, 2025
Abstract
Global
supply
chains
face
increasingly
uncertain
phenomena
and
reshoring
decisions
have
become
a
strategic
necessity.
This
paper
presents
an
artificial
intelligence-based
decision
support
model
for
optimizing
processes
in
connection
with
sustainability
Industry
5.0
principles.
The
developed
supports
multidimensional
decision-making
chain
management
by
using
big
data
analytics,
machine
learning
optimization
techniques.
proposed
framework
evaluates
critical
factors
such
as
lead
time,
cost,
operational
risks,
environmental
impact,
resilience
integrated
approach.
Combining
different
sources,
the
allows
makers
to
determine
most
appropriate
strategies
conducting
dynamic
scenario
analyses.
approach,
which
adopts
human-machine
collaboration
approach
of
5.0,
not
only
increases
economic
efficiency,
but
also
contributes
principles
sustainable
production
management.
With
study,
it
is
aimed
make
significant
contributions
academic
literature
industrial
applications
presenting
new
perspective
on
decisions.
Logistics,
Год журнала:
2025,
Номер
9(2), С. 54 - 54
Опубликована: Апрель 16, 2025
Background:
The
global
climate
crisis
has
intensified
the
demand
for
sustainable
solutions,
positioning
Reverse
Logistics
(RL)
as
a
critical
strategy
minimizing
environmental
impacts.
Simultaneously,
Industry
4.0
technologies
are
transforming
RL
operations
by
enhancing
their
collection,
transportation,
storage,
sorting,
remanufacturing,
recycling,
and
disposal
processes.
Understanding
roles
of
these
is
essential
improving
efficiency
sustainability.
Methods:
This
study
employs
systematic
literature
review,
following
PRISMA
methodology,
to
identify
key
applicable
RL.
Publications
from
Scopus
Web
Science
were
analyzed,
leading
development
theoretical
framework
linking
activities.
Results:
findings
highlight
fact
that
like
Internet
Things
(IoT),
Artificial
Intelligence
(AI),
Big
Data
Analytics,
Cloud
Computing,
Blockchain
enhance
traceability,
automation,
Their
application
optimizes
execution
time,
reduces
operational
costs,
mitigates
Conclusions:
For
transportation
manufacturing
sectors,
integrating
into
can
streamline
supply
chains,
decision-making,
improve
resource
utilization.
Smart
tracking,
predictive
maintenance,
automated
sorting
systems
reduce
waste
resilience,
reinforcing
transition
toward
circular
economy.
By
adopting
innovations,
stakeholders
achieve
economic
benefits
while
ensuring
regulatory
compliance
long-term
competitiveness.
Journal of Organizational Change Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Июнь 3, 2025
Purpose
This
study
explores
how
sustainable
reverse
logistics
(SRL)
influences
environmental
performance
(EP)
in
the
manufacturing
sector,
with
a
focus
on
mediating
role
of
resource
commitment
(SRC)
and
moderating
effect
organizational
learning
capability
(OLC).
Design/methodology/approach
Data
was
collected
from
firms
Shaanxi
Province,
China.
The
developed
model
tested
all
hypothesized
relationships
using
structural
equation
modeling
(SEM)
partial
least
squares
(PLS).
Findings
results
reveal
that
SRL
is
positively
linked
to
EP,
SRC
significantly
mediates
relationship
between
them.
Furthermore,
OLC
moderates
enhancing
overall
effect.
Research
limitations/implications
findings
offer
valuable
practical
insights
into
adopting
practices,
integrating
circular
economy
principles
leveraging
capabilities
can
enhance
sustainability
firms.
However,
reliance
data
single
country
limits
generalizability
findings,
highlighting
need
for
future
research
across
diverse
geographical
contexts
explore
economy-driven
strategies
vary
different
industrial
regulatory
environments.
Originality/value
adds
existing
literature
by
offering
novel
framework.
It
empirically
examines
OLC,
which
remain
underexplored.
Discover Sustainability,
Год журнала:
2024,
Номер
5(1)
Опубликована: Дек. 24, 2024
Industry
5.0
poses
many
challenges
for
insurance
companies.
This
article
explores
the
impact
of
sustainable
competitive
advantage
on
firm
performance
under
moderator
effect
government
policies
in
Vietnamese
The
study
surveyed
248
leaders
at
companies
and
used
PLS-SEM
method
to
analyze
data
two
steps.
research
results
show
that
is
positively
influenced
by
infrastructure
capacity,
digital
orientation,
market
innovation
capacity.
Sustainable
has
a
strong
performance.
also
confirm
mediating
role
moderating
policy.
From
there,
implication
solution
been
proposed.
provided
significant
empirical
evidence
stakeholder
theory
dynamic
capability
industry,
an
area
where
findings
are
still
ambiguous.
Additionally,
offers
guidelines
assist
firms
locating
cultivating
best
resources
improve
their
competitiveness
advance
development.
Mathematics,
Год журнала:
2024,
Номер
12(24), С. 3938 - 3938
Опубликована: Дек. 14, 2024
Industry
5.0
(I5.0)
builds
upon
4.0
by
emphasizing
the
role
of
workers
in
production
processes
and
prioritizing
socio-economic-environmental
sustainability.
It
has
been
shown
that
I5.0
can
enhance
sustainability
within
supply
chains
(SCs).
However,
companies
emerging
economies,
especially
small
medium-sized
manufacturing
enterprises
(SMEs),
which
are
crucial
to
developing
face
challenges
implementing
these
concepts.
These
SMEs
early
stages
adopting
foster
their
SCs
require
urgent
identification
key
enablers.
Unfortunately,
current
literature
lacks
research
on
this
topic
specifically
context
economies.
To
bridge
gap,
study
identifies
enablers
promote
diffusion
SCs,
using
China’s
SME
sector
as
a
case
study.
The
integrated
framework
for
applying
multiple
criteria
decision-making
(MCDM)
techniques
aims
assist
decision-makers
evaluating
different
options
making
optimal
choices
systematic
structured
manner
when
faced
with
complex
situations.
employs
fuzzy
Delphi
method
(FDM)
identify
15
categorize
them
into
three
clusters.
Grey-DEMATEL
is
subsequently
utilized
determine
causal
relationships,
rank
importance
enablers,
construct
an
interrelationship
diagram.
This
found
‘availability
functionality
resources’;
‘top
management
support,
active
participation,
effective
governance’;
‘support
from
government,
regulators,
financial
‘introduction
safer
more
efficient
robotic
systems
human–robot
interaction
collaboration’
serve
primary
means
resolving
issues.
Overall,
helps
managers,
practitioners,
policymakers
interested
applications
chain.
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 13, 2024
Abstract
Industry
5.0
poses
many
challenges
for
insurance
companies.
This
article
explores
the
impact
of
sustainable
competitive
advantage
on
firm
performance
under
regulatory
effect
government
policies
in
Vietnamese
The
study
surveyed
248
leaders
at
companies
and
used
PLS-SEM
method
to
analyze
data
two
steps.
research
results
show
that
is
positively
influenced
by
infrastructure
capacity,
digital
orientation,
market
innovation
capacity.
Sustainable
has
a
strong
performance.
also
confirm
mediating
role
policy.
From
there,
implication
solution
been
proposed.
provides
further
empirical
evidence
from
industry
dynamic
resource
theory
stakeholder
theory.
Furthermore,
are
basis
managers
plan
business
strategies.
Mathematics,
Год журнала:
2024,
Номер
12(22), С. 3588 - 3588
Опубликована: Ноя. 16, 2024
The
terms
“Industry
5.0”
and
“smart
logistics”
have
recently
emerged
as
key
concepts
within
the
field
of
logistics.
Nevertheless,
interconnection
between
these
two
has
been
less
extensively
examined
in
academic
literature,
particularly
context
emerging
economies.
In
contemporary
business
context,
logistics
industry
is
seeking
to
advance
sustainable
development
through
implementation
Industry
5.0.
However,
still
its
nascent
stages
realizing
transformation
smart
Accordingly,
objective
this
study
identify
drivers
5.0
relation
advancement
study,
initial
screening
identification
15
core
was
conducted
using
fuzzy
Delphi
method.
This
involved
collation
relevant
literature
collection
opinions
from
experts
field.
identified
were
then
classified
into
three
groups:
sustainability,
people-centricity,
resilience.
Subsequently,
adopted
Grey-DEMATEL
method,
which
combines
grey
system
theory
with
decision
making
trial
evaluation
laboratory
(DEMATEL)
technology.
approach
enables
effective
resolution
complex
issues
characterized
by
uncertainty
incomplete
information,
facilitating
causal
relationships
construction
a
centrality–causality
outcome
diagram.
drivers:
“government
support
policies”
“logistics
standardization
infrastructure
development”.
represents
preliminary
investigation
ways
managers,
practitioners
policy
makers
can
leverage
industry.
