Journal of Business Logistics,
Journal Year:
2024,
Volume and Issue:
46(1)
Published: Nov. 25, 2024
ABSTRACT
This
article
conducts
an
in‐depth
review
of
the
existing
literature
on
network
evolution,
with
emphasis
understanding
how
supply
chain
networks
change
and
evolve.
has
identified
a
total
1148
articles
in
area
comprising
120
from
business
1028
non‐business
literature.
Adopting
structured
approach,
we
provide
roadmap
for
evolution
(SCNE)
to
systematically
build
multidimensional
SCNE
bridge
gap
between
theoretical
underpinnings
research
methods
useful
investigate
SCNE.
We
first
broaden
scope
identify
insights
dynamic
wider
array
disciplines.
Next,
categorize
drivers
within
into
exogenous
endogenous
factors.
then
synthesize
frameworks
that
lay
groundwork
future
directions
proposed
context
these
frameworks.
Finally,
outline
contemporary
methodologies
studying
evaluate
their
relevance
application
management
(SCM)
field.
Collectively,
this
paves
way
deeper,
interdisciplinary
outlines
agenda,
providing
forward‐looking
path
researchers
explore
Business Strategy and the Environment,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 20, 2025
ABSTRACT
This
article
examines
the
significance
of
reducing
carbon
emissions
in
a
sustainable
supply
chain
(SSC)
through
trading
price.
It
delves
into
how
contracts
coordinate
chains
amid
market
demand
uncertainty
by
focusing
on
model
which
fluctuates
based
pricing
and
sustainability
factors.
The
study
highlights
conflicts
arising
from
different
profit
motives
within
suggests
using
synchronization
mechanisms
contracts.
Three
types
contracts—two‐part
tariff,
revenue
sharing,
quantity
flexibility—are
analyzed
for
their
impact
coordination
profitability.
concludes
that
two‐part
tariff
contract
can
enhance
distribution
chain,
while
sharing
may
benefit
producers
more
but
reduce
retailer
Moreover,
flexibility
be
less
effective
synchronizing
it
still
boost
Yönetim ve Ekonomi Araştırmaları Dergisi,
Journal Year:
2025,
Volume and Issue:
23(1), P. 1 - 22
Published: March 24, 2025
In
light
of
the
increasing
pressures
on
environment
and
necessity
globalisation,
it
is
imperative
that
maritime
companies
achieve
sustainability
goals.
this
context,
establishment
collaborative
relationships
between
firms
constitutes
a
pivotal
strategy
for
attainment
competitive
advantage.
particular,
emphasised
financial,
social,
structural
linking
strategies
contribute
to
sustainable
cooperation.
The
objective
study
investigate
impact
inter-firm
collaboration
business
performance
in
industry.
based
an
analysis
survey
results
from
56
Turkey
employing
equation
modelling
method.
findings
indicate
financial
have
most
significant
influence
cooperation,
followed
by
social
strategies.
contrast,
appear
exert
relatively
limited
influence.
Furthermore,
cooperation
has
direct
while
indirectly
contributing
through
customer
loyalty.
This
proposes
should
prioritise
gain
Consequently,
emerge
as
factor
long-term
success
industry,
positively
affecting
performance.
Israeli Journal of Aquaculture - Bamidgeh,
Journal Year:
2025,
Volume and Issue:
77(2)
Published: April 1, 2025
To
cope
with
the
complex
and
ever-changing
business
environment,
improving
supply
chain
efficiency
is
an
important
issue
that
needs
to
be
studied
now.
The
development
of
digital
technologies
provides
a
new
avenue
for
enhancing
efficiency.
Based
on
theory
information
asymmetry
TOE
framework,
this
paper
uses
panel
data
9
Chinese
A-share
listed
fishing
companies
from
2015
2021
construct
fixed-effects
model
explore
transformation’s
impact
results
indicate
transformation
significantly
improves
efficiency,
conclusion
remains
robust
after
series
robustness
tests.
On
basis,
further
verifies
positive
using
fsQCA
method
based
framework
pathways
improvement.
findings
study
provide
theoretical
basis
promoting
fishery
research
China’s
fisheries,
explores
implications
foreign
fisheries
chains.
Digital
critical
pathway
global
Foreign
can
draw
chains,
integrating
their
characteristics
promote
intelligent
upgrading
International Journal of Production Economics,
Journal Year:
2024,
Volume and Issue:
274, P. 109324 - 109324
Published: June 25, 2024
This
study
investigates
digital
transformation
and
the
usability
of
emerging
technologies
in
policymaking.
Prior
studies
categorised
into
three
distinct
phases
digitisation,
digitalisation,
transformation.
They
mainly
focus
on
operational
or
functional
levels,
however,
this
considers
at
strategic
level.
Previous
confirmed
that
using
new
AI-based
will
enable
organisations
to
use
achieve
higher
efficiency.
A
novel
methodological
approach
for
policymaking
was
constructed
through
lens
organisational
learning
theory.
The
proposed
framework
validated
a
case
transportation
industry
small
municipality.
In
selected
study,
confirmatory
model
developed
tested
utilising
Structural
Equation
Modelling
with
data
collected
from
survey
494
local
stakeholders.
Artificial
Neural
Network
utilised
predict
then
identify
most
appropriate
policy
according
cost,
feasibility,
impact
criteria
amongst
six
policies
extracted
literature.
results
research
confirm
utilisation
decision-making
generative
AI
platform
level
outperforms
human
terms
applicability,
efficiency,
accuracy.
Industrial Management & Data Systems,
Journal Year:
2024,
Volume and Issue:
124(7), P. 2467 - 2496
Published: June 27, 2024
Purpose
Drawing
upon
the
extended
resource-based
view
(ERBV),
this
research
aims
to
examine
effects
of
supply
chain
diversification
(SCD)
on
enterprise
digital
transformation
(DT),
focusing
external
perspective
chain.
Design/methodology/approach
Leveraging
panel
data
from
Chinese
A-share
listed
companies
2015
2022,
employs
multiple
regression
analysis
empirically
relationship
between
SCD
and
DT.
Findings
The
results
indicate
that:
(1)
positively
influences
DT,
a
that
persists
even
after
rigorous
endogenous
serial
robustness
testing.
(2)
fosters
DT
by
bolstering
its
absorption,
innovation,
adaptive
capabilities.
(3)
Executive
risk
preferences
Pilot
Policies
mediate
Originality/value
This
provides
novel
empirical
insights
into
underlying
mechanism
linking
findings
offer
valuable
guidance
for
enterprises
seeking
optimize
management
embrace
while
also
informing
policymakers
strategies
facilitate
enhancement
among
enterprises.
Business Strategy and the Environment,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 17, 2025
ABSTRACT
This
paper
examines
the
impact
of
digital
transformation
on
and
upgrading
China's
manufacturing
industry.
Utilizing
regression
analysis,
a
two‐way
fixed
effects
model,
mechanism
analysis
panel
threshold
study
explores
how
enhances
technological
advancement
green
innovation
in
The
findings
highlight
heterogeneity
across
dimensions,
regions,
industries,
reveal
nonlinear,
increasing
marginal
When
surpasses
key
thresholds
(0.2770
for
transformation,
0.4884
level,
8.9504
innovation),
its
positive
is
significantly
amplified.
research
provides
theoretical
framework
empirical
evidence
to
guide
industry's
strategic
development
sustainable
upgrading.
