Business Strategy and the Environment,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 9, 2025
ABSTRACT
Sustainable
development
has
emerged
as
a
critical
concern
globally,
and
digital
transformation
holds
enormous
potential
for
advancing
the
sustainable
of
organizations.
However,
relationship
between
performance
remains
largely
unclear.
To
gain
an
in‐depth
understanding
this
relationship,
we
explore
effects
dimensions
on
across
diverse
environmental
organizational
conditions
from
configuration
perspective.
The
findings
show
that
efficiency
value
have
different
combinatory
(facilitating
or
inhibiting)
in
achieving
economic
configurations
agribusinesses,
considering
factors,
such
firm
size,
industry
type,
market
turbulence.
This
study
offers
new
perspectives
provides
managerial
insights
into
how
agribusinesses
can
achieve
organizations
environments.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(7), P. 2859 - 2859
Published: March 24, 2025
Purpose:
The
objective
of
this
study
is
to
examine
the
influences
green
supply
chain
integration,
digital
transformation
chain,
and
environmental
uncertainty
on
corporate
innovation.
Moreover,
relevant
policy
suggestions
are
put
forward
facilitate
sustainable
development
Design/methodology/approach:
This
adopts
literature
research
method
sort
out
variables
understand
current
situation
as
foundation
for
our
study,
uses
questionnaire
survey
create
a
collect
data,
analyzes
data
with
help
empirical
verify
hypotheses
draw
conclusions.
Findings:
Green
integration
positively
promotes
innovation
also
affects
transformation,
which
in
turn
acts
mediator,
while
plays
moderating
role
Originality/value:
delves
into
how
internal
supplier
customer
its
independent
variables,
domestic
manufacturing
enterprises.
By
doing
so,
it
breaks
new
ground
area
offers
theoretical
directions
efforts
Meanwhile,
era,
from
overall
perspective,
we
break
through
limitations
previously
studied
intermediary
variables.
We
construct
model
by
integrating
explore
variable
influence
paths.
can
fill
gaps,
lay
solid
groundwork
enhancing
enterprise
development,
open
path
growth.
Future Business Journal,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: April 15, 2025
Abstract
This
study
investigates
how
tech-driven
integration
(TDI),
supply
chain
flexibility
(SCF),
and
organizational
ambidexterity
(ORA)
influence
(SCI)
performance
(SCP)
in
manufacturing
firms.
Supply
uncertainty
agility
are
examined
as
moderating
factors
the
relationship
between
TDI,
SCF,
ORA,
SCI,
performance.
Based
on
insights
from
two
experts
a
comprehensive
literature
review,
35
measurement
items
were
identified
for
close-ended
questionnaire
design.
Grounded
resource-based
view,
employs
partial
least
squares
structural
equation
modeling
(PLS-SEM)
approach
to
analyze
409
valid
responses
industry.
Our
findings
reveal
that
TDI
ORA
positively
impact
while
SCF
has
no
significant
SCI.
SCI
directly
influences
SCP.
moderates
impacts:
SCI;
Besides,
contribute
by
introducing
novel
perspective
relational
dynamics
of
management
emphasizing
importance
ambidexterity.
We
provide
practical
recommendations
managers
improve
firm
strengthening
connections
uncertainty,
agility,
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.
IEEE Transactions on Engineering Management,
Journal Year:
2024,
Volume and Issue:
71, P. 14071 - 14082
Published: Jan. 1, 2024
In
today's
digital
transformation
era,
the
importance
of
developing
dynamic
capabilities
has
significantly
increased.
However,
literature
not
fully
explored
significance
in
sustainable
development.
Hence,
this
study
examines
impact
(DC)
and
operational
transparency
(OT)
on
achieving
development
goals
(SDGs).
Drawing
upon
capability
view
(DCV),
we
analysed
DC
decent
work
conditions
(DWC),
reduced
inequalities
(RI),
responsible
consumption
production
(RCP),
carbon
footprint
(RCF)
through
mediating
effect
OT.
We
conducted
fourteen
semi-structured
interviews
to
understand
how
can
drive
organisations
toward
SDGs.
Subsequently,
applied
a
cross-sectional
survey
gather
data
from
257
respondents
Bangladeshi
ready-made
garments
(RMG)
industry.
used
variance-based
structural
equation
modelling
(PLS-SEM)
technique
test
our
research
hypotheses.
Our
findings
suggest
that
enhances
OT
positively
DWC,
RI,
RCP,
RCF.
Additionally,
found
partially
mediates
link
between
provides
valuable
insights
into
DCV,
offering
better
theoretical
understanding
role
enhancing
achieve
It
also
encourage
firms
take
advantage
emerging
technologies
trend
digitalisation
by
demonstrating
strong
commitment
adopting
new
advanced
technologies,
capabilities,
striving
Journal of Business and Industrial Marketing,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 23, 2025
Purpose
As
the
global
focus
on
supply
chain
management
has
shifted
toward
importance
of
digitalization,
resilience
and
sustainability
to
ensure
viability,
this
paradigm
merits
special
consideration
in
industrial
supplier
selection
process
a
VUCA
(Volatile,
Uncertain,
Complex
Ambiguous)
world.
Additionally,
increasing
geopolitical
challenges
further
complicate
process,
necessitating
robust
decision-making
frameworks.
Thus,
paper
aims
present
system
using
fuzzy
inference
(FIS)
for
evaluation
selection,
considering
new
criterion:
viability.
Design/methodology/approach
Fuzzy
set
theory,
particularly
FIS,
is
used
address
subjectivity
decision-makers’
preferences.
The
suggested
method’s
validity
evaluated
real
automotive
case
study
situations.
Findings
Seventeen
key
criteria
viable
were
identified
evaluate
select
firm’s
supplier.
chosen
(B)
demonstrated
superior
resilience,
digitalization
capabilities,
making
it
preferable
others.
Specifically,
exhibited
exceptional
adaptability
disruptions,
strong
commitment
sustainable
practices
advanced
digital
integration
that
enhances
operational
efficiency.
Practical
implications
This
provides
valuable
insights
researchers
professionals
by
proposing
comprehensive
system.
Integrating
diverse
essential
performance
chains
robustness
adaptability,
supporting
more
strategic
amid
network-related
challenges.
Originality/value
novel
introduces
criterion,
i.e.
environment.
In
addition,
proposes
evaluation.
Furthermore,
validates
proposed
FIS
an
study.
Advances in business strategy and competitive advantage book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 313 - 340
Published: Feb. 3, 2025
A
Global
Value
Chain
(GVC)
refers
to
a
transformation
process
that
spans
across
multiple
geographies.
As
the
nations,
GVC
fosters
economic
progress
several
nationalities.
Even
though
GVCs
offer
plethora
of
benefits
and
tend
facilitate
development
within
They
be
risky
considering
cultural,
skillset,
technological,
pricing,
regulatory
differences
nations.
On
other
hand,
Strategic
Partnerships
helping
hand
towards
transforming
domestic
value
chains
into
global
chains.
Hence,
this
book
chapter
aims
at
understanding
role
strategic
partnerships
in
building
provide
detailed
steps/strategies
carefully
developing
long-term
allies
for
mutual
on
scale.
