Benchmarking An International Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 28, 2024
Purpose
This
research
develops
a
theoretical
framework
to
understand
the
role
of
big
data
analytics
capability
(BDAC)
in
enhancing
supply
chain
sustainability
and
examines
moderating
effect
green
management
(GSCM)
practices
on
this
relationship.
Design/methodology/approach
Guided
by
dynamic
view
(DCV),
we
formulated
model
hypotheses.
We
used
partial
least
square-based
structural
equation
modeling
(PLS-SEM)
analyze
collected
from
159
survey
responses
Bangladeshi
ready-made
garments
(RMG).
Findings
The
statistical
analysis
revealed
that
BDAC
positively
impacts
all
three
dimensions
sustainability:
economic,
social
environmental.
Additionally,
GSCM
significantly
moderate
relationship
between
sustainability.
Research
limitations/implications
study
makes
unique
contributions
operations
literature
providing
empirical
evidence
insights
extend
beyond
focus
single
dimensions.
findings
offer
valuable
guidelines
for
policymakers
managers
enhance
through
practices.
Originality/value
advances
current
understanding
integrating
with
It
is
among
first
empirically
investigate
combined
effects
–
environmental
while
also
exploring
By
employing
DCV,
offers
robust
highlighting
interplay
technological
capabilities
achieving
sustainable
performance.
Benchmarking An International Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 23, 2024
Purpose
Green
entrepreneurship
(GE)
is
a
novel
concept
in
business
and
enhances
environmentally
friendly
production
operation
activities
for
“sustainable
development”
(SD).
The
aim
of
this
study
to
determine
the
drivers
that
contribute
growth
success
“micro,
small,
medium
enterprises”
(MSMEs)
manufacturing
sector
India.
also
examines
mutual
cause-and-effect
relationships
among
these
identified
drivers.
Design/methodology/approach
used
integrated
research
methodology
nine
key
GE
(GEDs)
through
extensive
literature
reviews,
theoretical
perspectives
(i.e.
“resource-based
view”
(RBV),
“natural
resource-based
(NRBV)
“critical
factor
theory”
(CSFT)),
expert
opinions.
Further,
“total
interpretive
structural
modeling”
(TISM)
“matrice
d'impacts
croisés
multiplication
appliquée
á
un
classment”
(MICMAC)
analysis
are
here
develop
hierarchical
model
cluster
drivers,
fuzzy
“decision-making
trial
evaluation
laboratory”
(fuzzy-DEMATEL)
causal
sensitivity
conducted
ensure
robustness
results.
Findings
Results
indicated
green
capability
development,
process
management
attitudes
toward
developing
sustainable
models
significantly
impacted
SD.
findings
help
managers,
policymakers,
practitioners
gain
an
in-depth
understanding
GE.
Research
limitations/implications
considers
limited
number
specific
Indian
MSMEs
only.
experts
from
different
enterprises
considered
data
analysis.
This
based
on
interrelationships
their
relative
importance
multicriteria
decision-making
techniques.
aids
government
decision-making,
policy
formulation
strategic
businesses
achieving
SD
goals.
In
addition,
encourages
entrepreneurs
start
eco-driven
companies
facilitate
use
goods
offset
environmental
challenges
accomplish
development
Originality/value
proposes
will
benefit
others
strategies
innovations
improve
practices.
further
helps
with
responsive,
various
MSMEs.
