Financial
industry
executives
are
sincerely
concerned
about
the
potential
effects
of
greenwashing
on
their
organizations.
The
primary
objective
this
research
is
to
investigate
impact
board
features
and
strategies
that
may
develop
mitigate
corporate
washing
phenomena.
A
novel
set
criteria
was
evaluated
for
359
listed
European
financial
institutions.
Data
were
acquired
from
Refinitiv
Eikon
database
Fiscal
Year
2024.
entropy
weight
TOPSIS
multicriteria
decision-making
methodologies
used
assess
data.
These
assist
us
in
determining
relative
importance
each
chosen
board’s
attributes
greenwashing.
study
indicates
governance
factor
affecting
Furthermore,
findings
indicate
directors
significantly
influences
increased
prevalence
among
firms.
This
suggests
relationship
between
size
debatable.
problem
has
primarily
elevated
standards
evaluating
effectiveness
conflicts
interest,
which
third
list.
results
inform
establishment
a
new
agenda
examined
area.
Sustainability,
Год журнала:
2025,
Номер
17(5), С. 2006 - 2006
Опубликована: Фев. 26, 2025
Amid
comprehensive
reforms,
artificial
intelligence
(AI)
has
emerged
as
a
vital
force
in
solving
people’s
problems
and
enhancing
quality
of
life.
Yet,
theoretical
inquiries
into
the
mechanisms
by
which
AI
influences
social
well-being
remain
limited.
Drawing
upon
cultural
lag
theory,
this
study
constructs
index
system
based
on
Gini
coefficient
objective
weighting
method.
By
integrating
moderated
mediation
model
with
spatial
econometric
model,
it
examines
impacts
well-being.
The
findings
reveal
that
induces
multiple
lags
exerts
U-shaped
impact
enhances
through
channels
employment
opportunities,
human
capital,
green
innovation,
while
digital
inclusion
foreign
direct
investment
(FDI)
further
reinforce
relationship.
Additionally,
generates
spillover
effects
well-being,
region’s
landscape
exhibits
convergence.
However,
both
FDI
negatively
moderate
convergence
process,
slowing
its
overall
pace.
These
insights
provide
substantial
practical
guidance
for
crafting
informed
policies
aimed
at
elevating
public
Systems,
Год журнала:
2025,
Номер
13(3), С. 190 - 190
Опубликована: Март 9, 2025
In
the
volatility,
uncertainty,
complexity,
and
ambiguity
(VUCA)
environment,
application
of
artificial
intelligence
(AI)
technologies
is
a
key
engine
for
shaping
supply
chain
resilience
(SCR).
This
study
employs
entropy
method
to
develop
an
evaluation
index
system
SCR,
incorporating
two
dimensions:
resistance
recovery
capacity.
Using
sample
Chinese-listed
enterprises
from
2009
2022,
this
reveals
that
AI
significantly
enhances
CEOs’
sports
experience
can
positively
moderate
association
between
SCR.
Mechanism
examination
shows
promotes
SCR
through
operational
efficiency
optimization,
information,
knowledge
spillover
in
chain.
Heterogeneity
analysis
positive
impact
more
significant
firms
with
high-skilled
labor
force,
high
heterogeneity
executive
team’s
human
capital,
high-tech
industries,
regions
strong
digital
infrastructure.
Moreover,
has
diffusion
effect
on
upstream
downstream
chain,
improving
adoption
levels.
Our
research
not
only
augments
existing
literature
economic
ramifications
strategic
value
derived
extramural
but
also
offers
both
theoretical
frameworks
empirical
insights
recruitment
fortifying
Financial
industry
executives
are
sincerely
concerned
about
the
potential
effects
of
greenwashing
on
their
organizations.
The
primary
objective
this
research
is
to
investigate
impact
board
features
and
strategies
that
may
develop
mitigate
corporate
washing
phenomena.
A
novel
set
criteria
was
evaluated
for
359
listed
European
financial
institutions.
Data
were
acquired
from
Refinitiv
Eikon
database
Fiscal
Year
2024.
entropy
weight
TOPSIS
multicriteria
decision-making
methodologies
used
assess
data.
These
assist
us
in
determining
relative
importance
each
chosen
board’s
attributes
greenwashing.
study
indicates
governance
factor
affecting
Furthermore,
findings
indicate
directors
significantly
influences
increased
prevalence
among
firms.
This
suggests
relationship
between
size
debatable.
problem
has
primarily
elevated
standards
evaluating
effectiveness
conflicts
interest,
which
third
list.
results
inform
establishment
a
new
agenda
examined
area.
