Business Strategy and the Environment,
Год журнала:
2023,
Номер
33(4), С. 2731 - 2751
Опубликована: Ноя. 21, 2023
Abstract
This
study
investigates
the
enhancement
of
technological
and
strategic
enablers
for
carbon‐neutral
businesses
(CNB)
through
artificial
intelligence
(AI)‐driven
business
model
innovation
(AIDBMI).
Drawing
upon
insights
gained
from
literature
review,
employs
structural
equation
modeling
(partial
least
squares
[PLS‐SEM])
as
methodology
to
examine
relationships
between
AIDBMI,
enablers,
attainment
carbon
neutrality.
The
sample
size
consists
326
small‐
medium‐sized
enterprises
(SMEs)
in
United
States
America.
findings
this
affirm
significant
positive
AIDBMI
both
CNB.
utilization
AI
technologies
proves
be
instrumental
fostering
development
implementation
innovative
models
that
integrate
sustainability
practices
address
environmental
challenges.
By
leveraging
SMEs
can
harness
advancements
adopt
energy‐efficient
processes,
embrace
renewable
energy
solutions,
implement
effective
reduction
strategies.
Moreover,
highlights
critical
role
driving
transition
towards
alignment
goals
with
organizational
strategies,
stakeholder
collaboration,
employee
engagement
emerge
pivotal
factors
enabling
effectively
utilize
leverage
achieve
implications
contribute
existing
by
highlighting
importance
creating
integrating
organizations
drive
sustainable
transformations,
optimize
their
operations,
align
resource
management
practices.
These
provide
valuable
guidance
SMEs,
policymakers,
researchers
seeking
foster
practices,
promote
neutrality,
advancement
a
low‐carbon
economy.
IEEE Transactions on Engineering Management,
Год журнала:
2024,
Номер
71, С. 5391 - 5409
Опубликована: Янв. 1, 2024
Green
technology
innovation
(GTI)
capability
plays
an
important
role
in
realizing
the
sustainable
development
of
intelligent
manufacturing
(IM)
industry.
Extensive
research
has
addressed
evaluation
GTI
capability.
However,
existing
models
primarily
include
either
qualitative
or
quantitative
indexes.
Rarely
do
they
integrate
both
types
indexes
simultaneously.
To
address
this
gap,
we
establish
two
index
system
from
perspective
core
competitiveness.
Then,
propose
concept
interval
linguistic
$Z$
-number
vector
(ILZNV)
based
on
to
represent
notation="LaTeX">$n$
-dimensional
uncertain
information
evaluation.
Subsequently,
theories
regarding
ILZNVs,
including
normalization,
operational
rules,
comparison
method,
and
distance
measure,
are
discussed.
We
also
a
method
for
unifying
data
by
converting
numerical
values
ILZNVs.
After
determining
decision
makers'
combined
weights
attribute
weights,
multiattribute
group
decision-making
model
is
developed
using
operators
MULTIMOORA
The
then
applied
evaluate
IM
enterprises.
Comparative
analysis
demonstrates
effectiveness
superiority
proposed
method.
Finally,
present
several
managerial
theoretical
implications.
Sustainability,
Год журнала:
2025,
Номер
17(2), С. 467 - 467
Опубликована: Янв. 9, 2025
Innovation
efficiency
plays
a
key
role
in
ensuring
that
sustainability
efforts
are
implemented
effectively
and
yield
maximum
benefits.
This
study
emphasizes
the
impact
of
government
regulations
environmental
resource-saving
approaches
on
innovation
efficiency.
Within
this
study,
include
activities
against
air
pollution,
water
energy
consumption,
waste,
hazardous
substances.
By
analyzing
data
from
1196
German
companies
statistically,
examines
importance
governmental
legal
as
well
engagement
for
green
innovation.
The
findings
reveal
prioritizing
practices
achieve
higher
output
same
input
than
other
firms,
leading
to
improved
In
developed
country,
focusing
aspects
exhibit
level
For
them,
embracing
firm
resources
raise
possibility
competitive
advantage.
Companies
these
hence
contribute
both
their
own
success
well-being
environment.
