Advances in environmental engineering and green technologies book series,
Год журнала:
2024,
Номер
unknown, С. 265 - 286
Опубликована: Ноя. 30, 2024
Effective
environmental
governance
is
crucial
for
addressing
complex
&
interconnected
challenges
of
the
21st
century.
It
requires
collaboration
multiple
sectors
integration
diverse
perspectives
to
create
resilient
sustainable
societies.
Organizations,
governments,
and
NGOs
need
adopt
a
collaborative
approach
implement
solutions
governance.
While
governments
are
responsible
policymaking,
excel
in
implementing
these
policies
due
their
strong
connections
with
grassroots
communities.
Corporations
play
critical
role
by
leveraging
capital,
technological
resources,
research
development
capabilities
address
existing
solutions.
The
book
chapter
presents
theoretical
practical
insights
regarding
use
Data
Analytics,
ML
IoT
Energy Reports,
Год журнала:
2024,
Номер
12, С. 2642 - 2652
Опубликована: Авг. 31, 2024
Over
the
past
decade,
sustainable
aviation
fuels
(SAF)
research
has
surged
due
to
aviation's
2–3
%
global
emissions,
driving
urgent
development
meet
climate
goals.
This
study
employed
a
mixed-method
approach,
combining
literature
review
following
PRISMA
framework
with
case
analysis.
is
first
systematically
SAF
through
lens
of
SDGs,
providing
comprehensive
analysis
how
contributes
various
targets.
highlights
critical
gaps
in
current
research,
particularly
need
for
studies
focused
on
economic
and
social
dimensions
SAFs
alongside
technological
environmental
aspects.
paper
utilized
BERTopic
modeling
thematic
SDG
Mapper
tool
align
SAF-related
publications
overview
landscape.
The
findings
reveal
that
38.9
aligns
13
(climate
action),
emphasizing
focus
mitigating
greenhouse
gas
emissions.
7
(Affordable
Clean
Energy)
12
(Responsible
Consumption
Production)
are
also
significantly
represented,
24.1
13.7
alignment,
respectively.
Six
topics
identified:
net
zero
supply
chain
models,
advanced
air
mobility,
microalgae-based
biofuels,
bio
jet
fuel
production
processes,
renewable
catalysts.
cover
innovations,
management,
impact,
stakeholder
engagement,
highlighting
challenges
benefits
reducing
industry's
carbon
footprint.
To
reduce
companies
should
optimize
blending,
invest
Jatropha-based
fuels,
locate
facilities
strategically,
retrofit
refineries,
assess
life
cycles,
engage
stakeholders.
Governments
must
update
standards,
provide
financial
incentives,
support
retrofits,
ensure
promote
feedstocks,
foster
collaboration,
incentivize
adoption.
results
underscore
SAF's
potential
contribute
multiple
footprint
promoting
energy
practices.
Journal of Asia Business Studies,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 21, 2025
Purpose
The
Indian
government’s
launch
of
Digital
India
initiative
is
critical
to
achieving
a
sustainable
future
by
leveraging
digital
capabilities
promote
social
justice,
economic
prosperity
and
environmental
stewardship.
There
are
lot
factors
affecting
India’s
transformation
achieve
development
goals.
This
study
aims
identify,
examine
develop
an
empirical
model
estimating
the
relationship
among
enablers
enhancing
toward
sustainability.
Design/methodology/approach
Following
thorough
review
literature,
10
key
were
identified
analyzed
using
total
interpretive
structural
(TISM).
novel
approach
has
been
adopted
analyze
hierarchical
linkage
between
Enablers.
Further
Matrice
d’impacts
croisés
multiplication
appliquée
à
un
classement
(MICMAC)
analysis
technique
used
evaluate
driving
dependence
power
enablers.
Findings
show
that
supportive
policy
strategic
enabler
with
highest
power,
positioned
at
bottom
model.
government
must
support
empowerment
initiatives
ensure
all
individuals
have
access
information
they
require
make
proper
decisions
regarding
their
lives.
examines
literature
generalize
findings
focus
on
motivator
Research
limitations/implications
suggests
TISM
MICMAC-based
models
help
practitioners,
managers
other
stakeholders
more
enhance
performance
aspects
transformation.
Government,
business
academic
cooperation
promotes
comprehensive
sustainability
stimulating
innovation
implementation.
Originality/value
In
addition,
it
offers
insights
into
enablers,
such
as
how
interact
one
another
depending
drive
dependency
goals
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 11, 2025
This
study
examines
the
imperative
to
align
artificial
general
intelligence
(AGI)
development
with
societal,
technological,
ethical,
and
brain-inspired
pathways
ensure
its
responsible
integration
into
human
systems.
Using
PRISMA
framework
BERTopic
modeling,
it
identifies
five
key
shaping
AGI's
trajectory:
(1)
societal
integration,
addressing
broader
impacts,
public
adoption,
policy
considerations;
(2)
technological
advancement,
exploring
real-world
applications,
implementation
challenges,
scalability;
(3)
explainability,
enhancing
transparency,
trust,
interpretability
in
AGI
decision-making;
(4)
cognitive
ethical
considerations,
linking
evolving
architectures
frameworks,
accountability,
consequences;
(5)
systems,
leveraging
neural
models
improve
learning
efficiency,
adaptability,
reasoning
capabilities.
makes
a
unique
contribution
by
systematically
uncovering
underexplored
themes,
proposing
conceptual
that
connects
AI
advancements
practical
multifaceted
technical,
challenges
of
development.
The
findings
call
for
interdisciplinary
collaboration
bridge
critical
gaps
governance,
alignment
while
strategies
equitable
access,
workforce
adaptation,
sustainable
integration.
Additionally,
highlights
emerging
research
frontiers,
such
as
AGI-consciousness
interfaces
collective
offering
new
integrate
human-centered
applications.
By
synthesizing
insights
across
disciplines,
this
provides
comprehensive
roadmap
guiding
ways
balance
innovation
responsibilities,
advancing
progress
well-being.
International Journal of Environmental Research,
Год журнала:
2024,
Номер
19(1)
Опубликована: Окт. 24, 2024
Abstract
This
study
aims
to
explore
the
application
of
artificial
intelligence
(AI)
in
resolution
sustainability
challenges,
with
a
specific
focus
on
environmental
studies.
Given
rapidly
evolving
nature
this
field,
there
is
an
urgent
need
for
more
frequent
and
dynamic
reviews
keep
pace
innovative
applications
AI.
Through
systematic
analysis
191
research
articles,
we
classified
AI
techniques
applied
field
sustainability.
Our
review
found
that
65%
studies
supervised
learning
methods,
18%
employed
unsupervised
learning,
17%
utilized
reinforcement
approaches.
The
highlights
neural
networks
(ANN),
are
most
commonly
contexts,
accounting
23%
reviewed
methods.
comprehensive
overview
identifies
key
trends
proposes
new
avenues
address
complex
issue
achieving
Sustainable
Development
Goals
(SDGs).
Graphic
abstract
