This
study
examines
how
artificial
intelligence
(AI)
can
support
environmental
sustainability.
Many
businesses
use
AI
technologies
to
enhance
sustainability
and
motivate
customers
adopt
eco-friendly
practices.
We
investigate
these
factors
affect
the
adoption
of
sustainable
products
through
an
empirical
involving
a
variety
types
consumers.
Our
study's
findings
have
major
implications
for
academic
business
communities.
Marketing
professionals
decision-makers
learn
substantial
information
about
engage
advance
well-being.
Organizations
create
targeted
strategies
that
promote
behaviors
positive
impact
on
environment
by
understanding
influence
product
adoption.
European Journal of Innovation Management,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 13, 2024
Purpose
Green
innovation,
digitization
and
sustainability
have
attracted
considerable
attention
in
recent
years
due
to
their
transformative
potential
organizations.
This
study,
grounded
the
resource-based
view,
explores
intricate
relationship
among
green
entrepreneurial
orientations,
sustainability-oriented
circular
economy,
employing
knowledge
management
as
a
pivotal
mechanism.
Design/methodology/approach
The
proposed
model
hypotheses
were
tested
using
Partial
Least
Squares
(PLS)
structural
equation
modeling
(SEM)
with
sample
of
274
valid
questionnaires
collected
from
manufacturing
firms
Saudi
Arabia.
Findings
Results
unveil
positive
relationships
between
orientations
well
along
mediation
these
relationships.
In
addition,
exhibit
heightened
strength
increased
levels
digital
transformation.
Originality/value
contributions
this
research
extend
both
theoretical
practical
realms,
offering
valuable
insights
for
startups
traditional
businesses
they
explore
landscape
innovation
digitization.
Business Strategy and the Environment,
Journal Year:
2024,
Volume and Issue:
33(7), P. 7216 - 7240
Published: July 3, 2024
Abstract
This
study
highlights
the
main
concerns
regarding
firms'
carbon
accounting
and
decarbonization
practices.
Under
institutional,
legitimacy
stakeholder
theories,
this
analyses
linkages
between
outputs
integrated
reporting
(IR),
as
well
disclosure
assurance
systems
in
transition
towards
net‐zero
business
models
(n‐ZBMs).
emphasizes
awareness
of
tools
to
be
considered
environmental
social
measures
due
developed
a
systematic
literature
review
(SLR)
433
English
articles
published
Scopus
database
Google
Scholar
years
1990
2024.
It
is
consolidated
methodological
approach
‘sustainability
accounting’
research
field
fill
existing
gaps
that
justify
study.
The
results
highlight
IR
enhance
performance
have
positive
impacts
with
adoption
practices
n‐ZBMs
through
an
improved
understanding
stakeholders
regulatory
pressures.
first
explore
relationship
about
practices,
role
for
n‐ZBMs.
tries
move
from
concept
firms
aim
achieve
sustainable
emissions.
Corporate Social Responsibility and Environmental Management,
Journal Year:
2024,
Volume and Issue:
31(5), P. 4849 - 4861
Published: May 6, 2024
Abstract
This
study,
which
is
anchored
to
Resource‐Based
View
(RBV)
theory,
explores
the
relationship
between
artificial
intelligence
(AI),
process
optimization,
organizational
flexibility,
and
sustainability
performance
in
settings.
Leveraging
RBV
framework's
focus
on
internal
resources
as
sources
of
competitive
advantage,
this
research
seeks
clarify
how
AI
adoption,
flexibility
foster
sustainable
growth.
SPSS
PROCESS
Macro
was
used
analyze
data
from
288
organizations.
The
findings
derived
empirical
data,
study
verify
positive
relationships
optimization
well
performance,
revealing
strategic
nature
a
resource
improve
operational
effectiveness
environmental
responsibility.
Further,
our
results
indicate
mediating
role
moderating
effect
determining
link
outcomes.
Moreover,
confirmed
indirect
effects
via
under
boundary
conditions
flexibility.
These
add
developing
literature
practices
provide
practical
suggestions
that
might
be
useful
for
practitioners
aiming
at
using
driven
by
capabilities
deliver
performance.
HISTORICAL Journal of History and Social Sciences,
Journal Year:
2025,
Volume and Issue:
3(3), P. 251 - 271
Published: Jan. 7, 2025
The
research
explores
the
relationship
between
Business
Intelligence
(BI)
and
Sustainable
Human
Resource
Management
(Sustainable
HRM),
focusing
on
how
BI
tools
enhance
HR
practices
contribute
to
organizational
sustainability.
As
organizations
strive
for
sustainable
growth,
integration
of
with
HRM
emerges
as
a
critical
strategy.
study
addresses
gap
in
literature
concerning
evaluates
BI-driven
insights
can
improve
decision-making,
thereby
enhancing
performance.
questions
focus
dependencies
HR,
exploring
ways
which
influences
sustainability
outcomes.
This
examines
aids
decision-making
processes
by
providing
comprehensive
data
analytics,
thus
fostering
dynamic
competitive
business
environment.
Additionally,
aligns
long-term
goals,
emphasizing
social
responsibility,
environmental
care,
economic
viability.
Findings
indicate
that
significantly
enhances
data-driven
recruitment,
training,
overall
workforce
management.
However,
challenges
remain
aligning
strategies
due
cultural
technological
gaps.
concludes
effective
into
lead
improved
sustainability,
offering
prescriptive
advice
professionals
leverage
strategic
decision-making.
contributes
fields
demonstrating
role
practices,
promoting
success
Business Strategy and the Environment,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 28, 2025
ABSTRACT
This
study
examines
the
integration
of
artificial
intelligence
(AI)
with
circular
economy
(CE)
principles
in
Thailand's
tourism
industry.
It
explores
interactions
between
AI‐Enhanced
Predictive
Waste
Analytics
(AI‐PWA),
Regenerative
Resource
Integration
(RRI),
Dynamic
Material
Flow
Optimization
(DMFO),
and
AI‐Induced
Resistance
to
Change
(AIRC).
Using
a
mixed‐methods
approach,
qualitative
insights
from
industry
stakeholders
are
combined
quantitative
analysis
via
Partial
Least
Squares
Structural
Equation
Modeling
(PLS‐SEM).
Findings
reveal
that
AI‐PWA
improves
real‐time
resource
management,
driving
DMFO
supporting
regenerative
practices
through
RRI.
However,
AIRC
moderates
AI's
effectiveness
sustainability
transitions,
concerns
such
as
job
displacement,
mistrust,
complexity
hindering
adoption.
provides
actionable
strategies
mitigate
resistance,
enhance
stakeholder
collaboration,
scale
AI
adoption
resource‐constrained
settings,
contributing
SDG
12
13.
The
findings
offer
practical
for
aligning
innovations
sustainable
development
high‐variability
industries.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(7), P. 3170 - 3170
Published: April 3, 2025
Corporate
environmental,
social,
and
governance
(ESG)
performance
has
emerged
as
a
critical
focus
of
societal
academic
interest.
This
study
employs
an
empirical
analysis
utilizing
sample
Chinese
A-share
listed
companies
to
investigate
the
relationship
between
ESG
green
technology
innovation.
The
results
demonstrate
that
significantly
enhances
innovation,
with
digital
transformation
acting
moderating
variable
in
this
relationship.
Furthermore,
reveals
corporate
social
responsibility
internal
mechanisms
exert
more
substantial
influence
on
innovation
compared
other
dimensions.
Notably,
impact
is
pronounced
among
firms
non-polluting
industries
those
operating
regions
characterized
by
higher
levels
marketization.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(8), P. e29580 - e29580
Published: April 1, 2024
Artificial
intelligence
(AI)
and
other
advanced
technologies
are
increasingly
recognized
as
essential
catalysts
for
enhancing
productivity
due
to
their
capability
transform
nearly
all
operations
within
outside
firms.
However,
the
empirical
research
on
how
AI
assimilation
may
promote
firm-level
outcomes
such
absorptive
capacity
(AC),
customer
agility
(CA),
firm
performance
(FP)
is
still
in
its
infancy.
Drawing
from
dynamic
view
using
417
valid
responses
collected
through
cross-sectional
methods
small
medium-sized
enterprises
(SMEs)
Lebanon,
this
study
examines
effect
of
performance.
The
mediating
roles
AC
CA
were
investigated.
moderating
role
organizational
(OA)
was
also
explored.
findings
support
hypothesized
assumptions
that
continual
advancement
technology
evolves
industrial
organizations'
with
parallel
mediators,
partially
link
between
FP
OA
a
moderator,
positive
relationship
FP.
provide
crucial
insights
practitioners
advance
framework.
They
compelling
evidence
enriches
understanding
assimilation,
demonstrating
impact
critical
yielding
benefits
SMEs.
Business Strategy and the Environment,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 10, 2024
Abstract
The
rise
of
cutting‐edge
technologies
motivates
corporations
to
undertake
and
carry
forward
green
innovation,
aiding
economic
development
by
maintaining
environmental
sustainability.
Using
A‐share
listed
firms
from
2013
2022
as
the
research
sample,
paper
empirically
examines
impact
digital
transformation
on
corporate
innovation
an
affordance
perspective.
findings
suggest
that
higher
level
transformation,
backed
accumulative
variational
affordances,
in
a
firm,
more
conducive
it
is
enables
homogenization,
recombination,
existing
information
related
protection
low‐carbon
energy
efficiency,
facilitating
achieve
targeted
breakthrough
innovations.
analysis
moderating
effects
public
concern,
policy
uncertainty,
regional
readiness
suggested
concern
positively
moderate
relationship
between
while
uncertainty
perception
negatively
moderates
this
relationship.
Heterogeneity
analyses
affects
within
labor‐intensive
state‐owned
enterprises.
study
contributes
literature
enhancing
our
understanding
theory
domain
transformation.
By
investigating
key
organizational
institutional
affordances
–
perception,
provides
valuable
insight
policymakers
fostering
innovation.
