Sustainability,
Год журнала:
2025,
Номер
17(1), С. 291 - 291
Опубликована: Янв. 3, 2025
Based
on
resource
orchestration
theory,
this
paper
examines
the
influence
of
data-intelligence
empowerment
enterprise
knowledge
recombinant
capabilities
empirically,
using
A-share-listed
high-technology
enterprises
from
2012
to
2021
as
research
examples.
Research
shows
that
can
promote
both
reuse
capability
and
creation
capability.
Furthermore,
depth
diversification
acts
a
mediator
between
capability,
breadth
plays
mediating
role
The
heterogeneity
analysis
demonstrates
has
more
promotive
impact
in
non-state-owned
eastern
region
enterprises,
there
is
promotion
effect
across
with
different
ownership
structures
regions.
This
study
provides
theoretical
guidance
well
practical
references
for
take
advantage
digital
intelligence
technology
empower
themselves,
match
internal
external
resources
capabilities,
ultimately
accomplish
sustainable
innovation.
Journal of Innovation & Knowledge,
Год журнала:
2023,
Номер
8(3), С. 100384 - 100384
Опубликована: Май 16, 2023
Intelligent
manufacturing
offers
opportunities
for
green
technology
innovation
at
a
low
cost,
helps
eliminate
outdated
equipment,
and
improves
pollution
efficiency,
which
is
essential
environmental
protection.
From
the
perspective
of
industrial
sector,
based
on
data
269
Chinese
cities,
this
study
empirically
examines
impacts
intelligent
ecological
environment
using
fixed
effect
model
unconditional
quantile
model.
The
research
results
show
that
can
significantly
reduce
concentration
PM2.5
in
air
by
optimizing
resource
allocation
during
production
operation.
external
mechanism
technological
plays
positive
mediating
role
impact
to
improve
quality.
marginal
nonlinear,
main
trend
M-type
distribution
increasing
first,
then
decreasing,
rising.
In
particular,
has
greater
welfare
lower
quantiles.
provide
viable
path
government
actively
plan
strategic
layout
achieving
goal
high-quality
economic
development.
Industry and Innovation,
Год журнала:
2023,
Номер
30(7), С. 766 - 800
Опубликована: Май 22, 2023
ABSTRACTABSTRACTThis
paper
investigates
how
the
twin
transition
(digital
&
green)
unfolds
within
firms
by
relating
investments
in
digital
technologies
to
propensity
of
eco-innovating
production
processes
and
models.
Drawing
on
a
heterogeneous
theoretical
background,
can
be
hypothesised
enable
eco-innovation
across
board.
However,
greater
impact
is
expected
from
Artificial
Intelligence
bundling
investments.
Using
new
Permanent
Census
Firms
Italian
National
Statistical
Office,
these
hypotheses
are
tested
large
sample
more
than
150,000
firms.
Results
confirm
that
contribution
firm's
mainly
driven
AI
application
areas,
while
other
work
selectively.
Moreover,
eco-innovative
models
benefit
different
technologies,
but
with
differences
among
size.KEYWORDS:
Twin
transitiondigital
technologieseco-innovationartificial
intelligenceIndustry
4.0JEL
CODES:
030O32Q55Q57
AcknowledgementsThe
data
used
this
ISTAT
sources
related
survey:
'Censimento
permanente
delle
Imprese'
The
elaborations
were
performed
at
Laboratory
for
Analysis
Elementary
Data
(ADELE)
compliance
legislation
protection
statistical
confidentiality
personal
data.
results
opinions
expressed
sole
responsibility
authors
do
not
constitute
official
statistics.
Where
expressly
mentioned,
analyses
without
using
(population)
weights.Disclosure
statementNo
potential
conflict
interest
was
reported
authors.
Sustainability,
Год журнала:
2023,
Номер
15(13), С. 10645 - 10645
Опубликована: Июль 6, 2023
In
the
current
era
of
high
environmental
uncertainty,
advancement
green
technologies
has
led
to
innovative
practices
in
manufacturing
sector,
becoming
preferred
approach
for
achieving
sustainable
development
today’s
business
markets.
Manufacturing
firms
require
innovation
improve
their
performance
and
monitor
operations
effectively,
but
adoption
implementation
these
innovations
is
still
low
among
industries.
To
bridge
this
gap,
a
study
was
conducted
using
resource-based
view
(RBV)
theory
technology–organization–environment
(TOE)
framework
develop
validate
model
that
encourages
adopt
innovation.
A
survey
administered
179
respondents
from
firms,
data
were
analyzed
structural
equation
modeling
(PLS-SEM).
The
integrated
constructs
model—perceived
benefits,
top
management
support,
coercive
pressure,
normative
mimetic
pressure—all
predicted
accounting
practices.
Additionally,
found
directly
significantly
impacted
performance.
developed
provides
clear
implications
decision
makers,
highlighting
importance
adopting
order
enhance
Advanced
have
shown
significant
connection
between
performance,
particularly
developing
economies.
Journal of Innovation & Knowledge,
Год журнала:
2024,
Номер
9(2), С. 100487 - 100487
Опубликована: Апрель 1, 2024
In
the
context
of
digital
economy,
empowering
firm
innovation
investment
through
transformation
is
an
important
strategy
for
promoting
development
in
China.
This
study
investigates
effects
and
mechanisms
on
from
perspective
total
factor
productivity,
using
a
sample
manufacturing
companies
listed
A-share
market
China
2012
to
2021.
The
following
three
main
findings
were
obtained.
First,
results
both
fixed-
random-effects
regression
methods
revealed
that
significantly
promotes
firms'
investment.
conclusion
remains
robust
after
controlling
endogeneity
issues
instrumental
variable
method
replacing
explanatory
measurement
methods.
Second,
stepwise
analysis
negative
mediating
mechanism
productivity
(TFP)
impact
level
reason
this
improvement
TFP
intensifies
competition
capital
labor
input
between
production
departments.
Third,
group
heterogeneity
found
overall
effect
positive
groups
with
low
financing
constraints
high
human
capital,
but
not
significant
capital.
Moreover,
valid
all
groups,
further
validating
departments
input.
Based
governance
by
Chinese
government,
policy
recommendations
are
proposed
empower
transformation.
Journal of Innovation & Knowledge,
Год журнала:
2024,
Номер
9(1), С. 100463 - 100463
Опубликована: Янв. 1, 2024
Regional
green
technology
innovation
(RGTI)
carries
ecological
and
technological
externalities,
serving
as
a
crucial
force
in
aligning
economic
development
with
the
imperative
of
environmental
preservation.
Industrial
digitalization
(indig)
exhibits
innovative,
quality-enhancing,
efficiency-enhancing
traits.
Yet,
exact
effects
indig
on
RGTI
have
not
been
extensively
studied.
In
this
study,
based
provincial
data
from
2013-2019
China,
we
investigated
linear
nonlinear
relationships,
spatial
characteristics
underlying
mechanisms
between
through
Hansen
threshold
model
mediating
effect
model.
The
results
showed
that:
i.
fluctuates
while
increases
steadily,
both
displaying
evident
agglomeration
traits
unipolar
characteristic
regional
heterogeneity;
ii.
has
effectively
boosted
at
national
levels,
exception
northeastern
region;
iii.
There
was
single
for
industrial
positive
driving
trend
exhibited
"marginally
increasing"
characteristic;
iv.
Two
critical
elements,
namely
structure
advancement
marketization,
partial
intermediary
roles.
Basing
these
results,
study
presents
several
policy
recommendations.
