Impact of artificial intelligence and knowledge management on proactive green innovation: the moderating role of trust and sustainability
Asia-Pacific Journal of Business Administration,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 25, 2024
Purpose
In
this
research,
we
seek
to
understand
the
effects
of
artificial
intelligence
(AI)
and
knowledge
management
(KM)
processes
in
enhancing
proactive
green
innovation
(PGI)
within
oil
gas
organizations.
It
also
aims
investigate
moderator
role
trust
sustainability
these
relationships.
Design/methodology/approach
This
paper
employs
a
quantitative
analysis.
Surveys
have
been
gathered
from
middle-line
managers
twenty-four
government
organizations
evaluate
perceptions
towards
AI,
KM
processes,
trust,
measures
toward
innovation.
Analytical
statistical
tools
that
were
employed
study,
including
structural
equation
modeling
with
SmartPLSv3.9,
used
analyze
data
examine
measurement
models
study.
Findings
The
study
results
reveal
significant
positive
impact
AI
utilization,
PGI
Furthermore,
turn
out
be
viable
moderators
affecting,
influencing
strength
direction
particular,
higher
levels
more
substantial
commitments
enhance
on
outcomes.
Practical
implications
Understanding
KM,
offers
valuable
insights
for
organizational
leaders
policymakers
seeking
promote
industry.
Thus,
can
increase
efficiency
sustainable
product
development,
process
improvement
environmental
by
using
robust
technologies
effective
systems.
fostering
among
stakeholders
embedding
principles
into
culture
amplify
effectiveness
initiatives
driving
Originality/value
extends
current
assessing
effect
while
accounting
as
moderators.
Utilizing
methods
nuanced
understanding
complex
interactions
between
variables,
thereby
advancing
theoretical
fields
management,
behavior.
Additionally,
identification
specific
mechanisms
contextual
factors
enriches
practical
practitioners
striving
dynamics
complexities
an
AI-driven
era.
Language: Английский
Managerial insights on sustainable practices in today's business: mapping economic, social, cultural, and environmental dimensions and their organizational outcomes
Kybernetes,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 3, 2025
Purpose
This
paper
explores
the
integration
of
sustainable
development
practices
within
today’s
business
management,
emphasizing
managerial
perspectives
and
strategies
adopted
to
address
economic,
social,
cultural,
environmental
dimensions
sustainability
their
organizational
outcomes,
namely
performance
reputation.
Design/methodology/approach
Through
a
qualitative
study
involving
in-depth
interviews
with
twelve
managers
from
various
sectors,
this
research
utilizes
content
analysis
Qualitative
Data
Analysis
Software
(AtlasTI)
map
insights
strategies.
The
identifies
key
constructs
impacts
on
Findings
complex
interplay
between
environmental,
cultural
management
take
reputation
in
current
context
emphasizes
importance
leadership
regulatory
frameworks
promoting
sustainability.
Research
limitations/implications
study’s
approach
provides
but
may
limit
generalizability.
Future
could
employ
quantitative
methods
validate
extend
these
findings
across
different
contexts
industries.
Originality/value
contributes
literature
by
providing
detailed
examination
how
Romanian
perceive
operationalize
It
underscores
integrating
into
core
offers
practical
for
policymakers
aiming
enhance
practices.
Language: Английский
Renewable energy adoption and CO2 emissions in G7 economies: In-depth analysis of economic prosperity and trade relations
Journal of Environmental Science and Economics,
Journal Year:
2024,
Volume and Issue:
3(2), P. 41 - 66
Published: May 13, 2024
This
study
investigates
the
relationships
between
economic,
environmental,
and
trade
factors
within
G7
economies
from
1990
to
2022,
focusing
on
their
impacts
carbon
dioxide
(CO2)
emissions.
Analyzing
data
such
as
Canada,
France,
Germany,
Italy,
Japan,
United
Kingdom,
States.
The
employs
multiple
regression
(MLR)
models
examine
influence
of
economic
environmental
CO2
Additionally,
factor
loading
analysis
structural
equation
modeling
(SEM)
is
utilized
validate
construct
reliability
visualize
complex
relationships.
findings
highlight
positive
correlations
GDP
growth
employment,
alongside
negative
with
income
inequality.
In
addition,
challenges
are
evident
through
industrial
energy-related
practical
implications
importance
for
policymakers
prioritize
strategies
promoting
growth,
addressing
inequality,
fostering
sustainable
ensure
inclusive
development.
contributes
literature
by
offering
comprehensive
insights
into
intricate
dynamics
Language: Английский
The impact of knowledge management on corporate sustainable development (CSD): The mediating role of green innovation
Published: Jan. 1, 2024
It
is
logical
to
assume
that
knowledge,
as
the
most
valuable
resource
in
an
organization,
has
important
role
achieving
goals
of
corporate
sustainable
development
(CSD).
However,
not
many
studies
have
tried
uncover
true
relationship
between
knowledge
management
practice
and
CSD.
In
sense,
this
study
aims
analyze
connection
these
two
variables.
The
was
conducted
during
first
quarter
2024.
sample
size
used
for
analysis
consists
84
managers
from
different
hierarchical
levels
employed
Serbian
companies
which
already
implemented
principles.
Partial
Least
Squares
Structural
Equation
Modeling
(PLS-SEM)
technique
adopted
explore
complex
relationships
among
addition,
mediation
performed
investigate
mediating
green
innovation
results
suggest
total
effect
on
CSD
significant
(b
=
0.670,
p
0.000),
indicating
a
positive
variables
without
considering
mediator.
When
mediator
included,
direct
became
very
low
statistically
insignificant
0.022,
0.934),
suggesting
variable
fully
mediates
them.
Language: Английский
Industry 4.0 and Sustainability: Empirical Validation of Constructs of Industry Technology and Sustainable Development
Platforms,
Journal Year:
2024,
Volume and Issue:
2(4), P. 150 - 164
Published: Sept. 26, 2024
The
study
has
as
purpose
to
identify,
analyze,
and
validate
challenge
constructs
of
Industry
4.0,
which
can
affect
the
promotion
sustainability
within
industry.
A
systematic
literature
review
was
conducted
identify
challenges
4.0
sustainability.
set
seventy
were
grouped
into
following
eight
constructs:
finances,
technology,
organizational,
human
resources,
legislation,
geopolitical
economic
factors,
both
internal
external
factors.
Subsequently,
same
validated
using
a
survey
involving
industry
professionals.
data
analyzed
Lawshe
method.
Five
considered
relevant
according
experts’
opinion.
included:
finance,
This
contributes
in
field
by
addressing
research
gap
identification
based
on
expert’s
opinions
that
impact
sustainable
development.
delivers
theoretical
practical
implications.
From
standpoint,
it
expanding
knowledge
providing
valuable
insights
adoption
its
specific
concerning
pursuit
more
practices.
These
implications
extend
diverse
areas
given
multidisciplinary
nature
4.0.
Language: Английский
Unraveling consumption‐based carbon dioxide emissions: Sectoral analysis and temporal dynamics in G7 economies
Natural Resources Forum,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 2, 2024
Abstract
This
research
investigates
consumption‐based
carbon
dioxide
emissions
(CBE)
within
the
Group
of
Seven
(G7)
economies
from
1990
to
2022,
particularly
under
Paris
Agreement.
The
main
focus
study
is
on
key
determinants
such
as
trade,
income,
renewable
energy
consumption,
foreign
direct
investment,
and
technological
innovation.
aims
unravel
complexities
underlying
environmental
footprint
consumption.
A
novel
aspect
this
its
intent
fill
existing
gaps
in
literature
by
providing
a
sectoral
analysis
exploring
temporal
dynamics
consumption
patterns
these
advanced
industrial
nations.
Advanced
econometric
methods,
specifically
Cross‐Section
Augmented
Autoregressive
Distributed
Lag
(CS‐ARDL),
are
employed
enhance
robustness
reliability
analysis.
Cointegration
relationships
among
CBE
shed
light
short
long‐term
interdependencies
factors.
Using
Mean
(AMG)
Common
Correlated
Effect
(CCEMG)
methods
conduct
checks
makes
models
even
more
substantial
ensures
results'
validity.
implications
far‐reaching,
extending
various
stakeholders,
including
policymakers,
businesses,
industries,
supply
chain
decision
makers.
Our
identifies
significant
between
G7
economies.
findings
emphasize
urgency
adopting
strategies
that
promote
sustainable
management
natural
resources.
As
global
efforts
intensify
address
climate
change,
provides
practical
for
shaping
policy
initiatives
scale.
Language: Английский
Dynamics of China's development: Long–short perspectives on institutions, globalization, technology, and environmental quality using auto regressive distributive lag
Niu Shu-hai,
No information about this author
Ali Zeb,
No information about this author
Mohsin Rasheed
No information about this author
et al.
Natural Resources Forum,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 20, 2024
Abstract
This
study
investigates
the
connections
among
institutional
quality
(IQ),
globalization,
technological
innovation,
and
environmental
sustainability
in
China,
using
time‐series
data
from
1995
to
2022.
The
autoregressive
distributive
lag
model
(ARDL)
Granger
causality,
stability,
diagnostics
approaches
were
employed
for
rigorous
analysis.
Results
of
ARDL
test
reveal
that
IQ
innovation
have
a
negative
significant
impact
on
carbon
dioxide
(CO
2
)
emissions
long
run.
In
short
run,
globalization
has
an
insignificant
CO
emissions;
other
hand,
IQ,
foreign
direct
investment,
economic
growth
significantly
affect
China.
result
causality
also
confirmed
unidirectional
running
toward
emissions.
Furthermore,
NARDL
analyses
supported
this
research's
findings.
suggests
implementing
effective
regulations,
improving
governance,
promoting
transparency
accountability
can
enhance
enforcement
policies.
Although
allowing
limited
short‐term
planned
global
engagement
associated
with
ecological
goals
is
recommended.
policy
recommendations
include
investing
research
development
green
technologies,
incentivizing
companies
adopt
eco‐friendly
practices,
supporting
startups
focused
solutions,
which
drive
positive
change
Language: Английский