Sustainability,
Год журнала:
2024,
Номер
16(21), С. 9246 - 9246
Опубликована: Окт. 24, 2024
Enterprise
green
innovation
(EGI)
has
become
an
essential
measure
for
manufacturing
enterprises
to
achieve
sustainable
development,
and
the
application
of
artificial
intelligence
(AI)
may
a
new
driving
solution.
This
study
empirically
analyzes
impact
internal
transmission
mechanism
AI
on
EGI
Chinese
listed
from
2010
2022.
Research
found
that
(1)
significantly
impacts
EGI,
this
basic
conclusion
passed
various
endogeneity
robustness
tests.
(2)
The
test
results
indicate
enterprise
technological
capability,
investment,
executives’
environmental
awareness
mediate
between
EGI.
(3)
Heterogeneity
analysis
shows
significant
positive
is
only
established
in
with
overseas
backgrounds,
large-scale,
highly
competitive
regional
markets,
low-carbon
pilot
cities.
above
conclusions
have
contributed
essentially
literature
AI.
Systems,
Год журнала:
2024,
Номер
12(11), С. 499 - 499
Опубликована: Ноя. 18, 2024
In
the
context
of
worldwide
quest
for
green
and
sustainable
development,
there
is
a
growing
importance
in
enhancing
environmental,
social,
governance
(ESG)
performance
manufacturing
companies.
With
rise
digital
transformation
pressing
environmental
challenges,
artificial
intelligence
(AI)
has
emerged
as
crucial
tool
organizations
to
gain
competitive
edge
sustainability.
While
role
technologies
driving
ESG
improvements
been
widely
discussed,
limited
scholarly
exploration
specific
impact
AI
on
firms,
well
underlying
mechanisms
at
play
from
an
perspective.
Addressing
this
research
gap,
study
constructs
theoretical
model
affecting
firms’
using
sample
Chinese-listed
firms
2012–2022.
Additionally,
examines
mediating
ambidextrous
innovation
differences
intrinsic
triggered
by
equilibrium
firm
size.
The
findings
indicate
that
application
technology
effectively
promotes
with
playing
positive
role.
Furthermore,
companies
strong
balance
larger
scale
exhibit
enhanced
effects
performance.
This
serves
supplement
existing
literature
enhancement,
elucidate
rationale
behind
non-economic
AI-enabled
extend
organizational
dualism
theory
new
contexts.
Cyber-Physical Systems,
Год журнала:
2025,
Номер
unknown, С. 1 - 28
Опубликована: Янв. 7, 2025
This
paper
proposes
a
credit-driven
practical
byzantine
fault
tolerance
based
on
consensus
algorithm
for
sustainable
6G
communication
to
address
the
potential
threat
of
malicious
activity
in
green
and
6G-based
Industrial
Internet
Things
(IIoT)
applications.
The
dual-layer
architecture
allows
simultaneous
verification
transactions
execution
read-write
operations.
According
simulation
studies,
CD-PBFT
enhances
performance
stability
while
efficiently
reducing
validation
time.
Empirical
findings
demonstrate
that
achieves
both
efficiency
security
by
network
transaction
latency
an
average
34.8%
increasing
throughput
25.2%
compared
PBFT.
Meditari Accountancy Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 11, 2025
Purpose
This
study
aims
to
examine
the
intricate
connections
between
environmental
management
accounting
(EMA)
and
performance
(ENP)
through
mediating
moderating
roles
of
green
technology
innovation,
including
process
innovation
(GSI),
product
(GPI)
strategy
(EST).
The
uses
a
mediated
moderation
model
with
lenses
legitimacy
theory
natural
resource-based
view
explore
how
these
constructs
interact.
It
then
offers
insights
into
organizations
can
improve
ENP
by
integrating
EMA,
EST.
Design/methodology/approach
quantitative
approach
collects
data
from
survey
325
senior
managers
chief
accountants
manufacturing
firms
in
Vietnam.
author
conducts
validation
reliability
assessments
using
SmartPLS4
software
partial
least
squares
structural
equation
modeling
validate
research
hypotheses.
Findings
results
indicate
significant
positive
correlations
GSI,
GPI
ENP.
Additionally,
findings
reveal
that
two
forms
namely,
GSI
GPI,
mediate
relationship
EMA
Finally,
this
confirms
EST
moderates
ENP,
as
well
Originality/value
novel
perspectives
on
address
effective
harmonization
diverse
assets,
such
EST,
enhance
Therefore,
provide
valuable
understanding
for
sector
emerging
economy.
