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.
Developments in the Built Environment,
Journal Year:
2023,
Volume and Issue:
15, P. 100199 - 100199
Published: July 16, 2023
Amid
depleting
resources
and
environmental
constraints
worldwide,
green
innovation
is
being
considered
key
to
achieving
sustainable
development.
The
construction
industry
has
been
resistant
technological
change
generating
a
large
amount
of
wasted
energy;
should
compensate
for
these
shortcomings.
emergence
new
powerful
digital
transformations
provided
several
opportunities
the
industry.
However,
mechanism
by
which
transformation
can
drive
this
not
thoroughly
investigated.
This
study
aims
elucidate
effects
on
surveying
enterprises.
Therefore,
model
based
technology–organization–environment
framework
was
developed
uncover
factors
related
in
Subsequently,
it
reviews
literature
proposes
postulates
construct
relevant
conceptual
model.
Data
257
employees
from
enterprises
were
analyzed
using
partial
least
squares
structural
equation
(PLS-SEM)
via
fuzzy
set
qualitative
comparative
analysis
(fsQCA).
PLS-SEM
results
show
that
all
nine
variables
positively
affected
behavior;
moreover,
evidently
confirmed
influence
policy
environment,
market
culture
innovation.
fsQCA
presented
four
configurations
promoting
under
multiple
antecedent
conditions,
wherein
infrastructure
core
factor
configurations.
These
conclusions
provide
beneficial
insights
implement
practices.
