Sustainability,
Год журнала:
2024,
Номер
16(23), С. 10299 - 10299
Опубликована: Ноя. 25, 2024
In
this
paper,
we
examine
the
role
of
artificial
intelligence
(AI)
in
sovereignty
and
carbon
neutrality,
emphasizing
digital
inclusion
climate-resilient
AI
strategies
for
emerging
markets.
Considering
previous
studies
on
neutrality
climate
research
along
with
technology
policy
frameworks
as
a
guide,
paper
undertakes
Partial
Least
Squares
Structural
Equation
Modelling
(PLS-SEM)
outcomes.
At
same
time,
fuzzy-set
Qualitative
Comparative
Analysis
(fsQCA)
is
used
to
reveal
different
configurations
leading
achieving
resilience.
The
model
covers
various
aspects
AI-enabled
policy,
including
adoption,
frameworks,
literacy,
public
engagement.
Survey
data
were
collected
from
key
stakeholders
sectors,
local
communities
using
structured
survey
understand
their
attitudes
towards
negative
emissions
technologies
prominent
experts
countries
like
Vietnam,
Italy,
Malaysia,
Greece.
PLS-SEM
results
importance
developing
critical
strategic
dimension
(Data
analytics
capability
support).
Some
fsQCA
findings
present
heterogeneous
outcomes,
highlighting
complex
combinations
inclusion,
resilience
which
are
industry-specific.
This
study
would
further
enrich
literature
concerning
by
exploring
AI,
interactions.
Theoretically,
practical
enriching
suggestions
future
derived
help
infuse
sustainable
actions.
Frontiers in Public Health,
Год журнала:
2025,
Номер
13
Опубликована: Апрель 30, 2025
In
recent
years,
Artificial
Intelligence
(AI)
is
transforming
healthcare
systems
globally
and
improved
the
efficiency
of
its
delivery.
Countries
like
Saudi
Arabia
are
facing
unique
adoption
challenges
in
their
public
healthcare,
these
specific
to
AI
literacy,
understanding
effective
usage
technologies.
addition,
cultural,
regulatory
operational
barriers
increase
complication
integrating
literacy
into
operations.
spite
critical
contribution
enabling
sustainable
development,
limited
studies
have
addressed
challenges.
Our
study
explores
context
Arabian
sector,
focusing
on
relevance
for
advancing
operations
achieving
Sustainable
Development
Goals
(SDGs).
The
research
aims
identifying
addressing
within
Arabia.
enhance
necessity
enhancing
operations,
hurdles
that
impede
successful
Arabia’s
ecosystem.
employs
a
qualitative
analysis
using
T-O-E
framework
explore
literacy.
Additionally,
Best-Worse
Method
(BWM)
applied
evaluate
across
various
levels
supply
chain.
uncovers
substantial
at
operational,
tactical,
strategic
level,
including
institutional
readiness,
data
privacy,
compliance
with
frameworks.
These
complicate
chains.
offers
insights
issues
affecting
promotion
sector.
This
evidence-based
provides
essential
commendations
professionals
policymakers
effectively
address
identified
challenges,
nurturing
an
environment
beneficial
integration
goals
development.
Smart and Sustainable Built Environment,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 7, 2024
Purpose
The
development
of
zero-carbon
buildings
(ZCBs)
is
beneficial
to
the
society
and
biodiversity.
Despite
benefits
ZCBs,
there
are
challenges
limiting
its
in
construction
industry.
current
study
seeks
examine
technology-related
factors
affecting
ZCB
Lagos
Nigeria.
Design/methodology/approach
designed
a
questionnaire
achieve
main
objective.
Data
were
collected
using
non-probability
snowballing
sampling
methods.
Questionnaires
distributed,
272
valid
responses
collected.
Thereafter,
data
analysed
mean
value,
percentage,
frequency
distribution,
normality
test,
Kruskal
Wallis
test
Kendall’s
coefficient
concordance.
Findings
results
from
analysis
showed
that,
“less
technical
expertise
new
technological
advancements”,
“research
outcomes
not
translated
effectively
into
technology
innovations”,
“high
cost
maintenance
on
ZCB”,
“poor
knowledge
renewable
technologies”
“industry’s
ability
embrace
technologies
(policy
initiatives
industry
practices)”
topmost
five
hindering
ZCBs
Lagos,
Also,
show
statistically
significant
degree
agreement
between
various
groups
organisations
Nigeria
concerning
ZCBs.
Originality/value
contributed
more
effective
studies
by
drawing
attention
An
understanding
these
can
help
stakeholders,
organisations,
policymakers
governments
devising
strategies
targeted
at
minimising
fostering
sector.
identified
barriers
guide
interventions
policy
adjustments,
promoting
implementation
serving
as
model
for
addressing
similar
other
developing
countries.
Recommendations
future
research
also
highlighted.
Energies,
Год журнала:
2024,
Номер
17(23), С. 5888 - 5888
Опубликована: Ноя. 23, 2024
As
China
strives
for
carbon
neutrality,
the
transition
to
digital
energy
systems
presents
both
significant
opportunities
and
formidable
challenges.
This
study
investigates
key
barriers
hindering
this
urgent
need
effective
strategies
address
them,
raising
critical
research
question:
What
are
main
obstacles
adoption
in
China,
how
can
these
challenges
be
overcome?
In
study,
fuzzy
AHP
method
has
been
utilized
prioritize
WASPAS
evaluate
strategies.
Using
AHP,
we
found
that
stakeholder
governance
most
critical,
emphasizing
issues
like
misalignment
among
stakeholders
Following
this,
financial
constraints
technological
limitations
emerged
as
other
barriers,
highlighting
improved
financing
mechanisms
robust
infrastructure.
Through
analysis,
top
identified
enhancing
public
awareness
capacity-building
programs,
strengthening
anti-corruption
measures,
increasing
investment
green
finance.
The
results
emphasize
importance
of
tackling
alongside
advancements.
Policy
implications
recommendations
provided
guide
China’s
transition,
with
suggestions
future
focused
on
broader
regional
comparisons
integration
emerging
technologies.
Business Strategy and the Environment,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 2, 2024
ABSTRACT
The
importance
of
attaining
carbon
neutrality
(CN)
has
progressively
increased
in
addressing
climate
change,
and
consequently,
capture,
utilization,
storage
(CCUS)
emerged
as
a
promising
tool
this
pursuit.
Nevertheless,
dearth
scholarly
discourse
exists
about
the
factors
that
drive
implementation
CCUS
context
corporate
CN
challenges
inhibit
adoption
for
CN.
This
study
aims
to
bridge
knowledge
gap
by
analyzing
open‐ended
essays
gain
cardinal
insights
into
experiences
perspectives
companies
successfully
implementing
collected
(qualitative)
data
underwent
rigorous
analysis
synthesize
three
distinct
dimensions
encompassing
various
aspects
achieve
identifies
multiple
components
employed
manage
emissions
effectively.
It
underscores
five
drivers
accelerating
classifies
them
intrinsic
or
extrinsic
drivers.
Various
impeding
successful
have
been
pinpointed
emanating
from
financial,
human
resource,
operational,
technological,
strategic
challenges;
technology
development
infrastructural
challenges,
environmental
impacts;
social
regulatory
challenges.
Our
research
renders
valuable
theoretical
practical
based
on
prevalent
regarding
field
with
comprehensive
inclusive
approach.
Sustainability,
Год журнала:
2024,
Номер
16(23), С. 10299 - 10299
Опубликована: Ноя. 25, 2024
In
this
paper,
we
examine
the
role
of
artificial
intelligence
(AI)
in
sovereignty
and
carbon
neutrality,
emphasizing
digital
inclusion
climate-resilient
AI
strategies
for
emerging
markets.
Considering
previous
studies
on
neutrality
climate
research
along
with
technology
policy
frameworks
as
a
guide,
paper
undertakes
Partial
Least
Squares
Structural
Equation
Modelling
(PLS-SEM)
outcomes.
At
same
time,
fuzzy-set
Qualitative
Comparative
Analysis
(fsQCA)
is
used
to
reveal
different
configurations
leading
achieving
resilience.
The
model
covers
various
aspects
AI-enabled
policy,
including
adoption,
frameworks,
literacy,
public
engagement.
Survey
data
were
collected
from
key
stakeholders
sectors,
local
communities
using
structured
survey
understand
their
attitudes
towards
negative
emissions
technologies
prominent
experts
countries
like
Vietnam,
Italy,
Malaysia,
Greece.
PLS-SEM
results
importance
developing
critical
strategic
dimension
(Data
analytics
capability
support).
Some
fsQCA
findings
present
heterogeneous
outcomes,
highlighting
complex
combinations
inclusion,
resilience
which
are
industry-specific.
This
study
would
further
enrich
literature
concerning
by
exploring
AI,
interactions.
Theoretically,
practical
enriching
suggestions
future
derived
help
infuse
sustainable
actions.
