Ekonomi İşletme ve Maliye Araştırmaları Dergisi,
Journal Year:
2024,
Volume and Issue:
6(Özel Sayı 1), P. 99 - 106
Published: Aug. 24, 2024
Increasing
awareness
of
global
changes
in
the
natural
environment,
such
as
climate
change
and
increasing
biodiversity
loss,
has
led
to
concept
green
transformation.
Green
transformation
is
a
broad
that
includes
objectives
environmental
sustainability,
conservation
resources,
combating
ensuring
energy
efficiency.
This
study
aims
examine
real
sector
Türkiye
rank
most
effective
strategies
for
transition
It
aimed
criteria
play
role
offer
solutions
criteria.
The
critical
success
factors
are
evaluated
line
with
answers
given
by
three
expert
opinions.
data
obtained
from
opinions
were
analyzed
DEMATEL
method,
which
one
multi-criteria
decision-making
methods.
In
study,
eight
frequently
mentioned
literature
identified.
Türkiye;
legal
regulations
transformation,
financing
opportunities,
consumer
preferences
behaviors,
qualified
workforce
/
collars
specialized
issues,
use
recyclable
materials,
social
responsibility
projects,
air
pollution,
investment
environmentally
friendly
resources
evaluated.
As
result
analysis,
it
was
found
important
criterion
need
increase
second
opportunities
needs
achieve
more
stable
framework
supportive
Financial Innovation,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: Jan. 2, 2025
Abstract
Pension
fund
must
consider
some
significant
issues
when
making
renewable
energy
project
investment
decisions.
It
is
necessary
to
determine
the
most
important
factors
and
prioritize
indicators.
Accordingly,
purpose
of
this
study
conduct
a
priority
analysis
determinants
in
projects
by
pension
funds.
This
constructs
novel
fuzzy
decision-making
model.
First,
five
indicators
for
process
are
weighted
using
an
entropy
methodology
based
on
sine
trigonometric
Pythagorean
sets.
The
CRITIC
also
considered
make
comparative
evaluation.
Second,
different
clean
alternatives
funds
ranked
RATGOS
methodology.
Similarly,
ranking
made
considering
TOPSIS
technique
check
reliability
results.
main
contribution
creation
new
comprehensive
model
identify
investments
proposed
uses
rank
By
geometrical
mean
calculation
process,
criticisms
related
existing
techniques
can
be
overcome.
use
numbers
provides
benefits
quality
defuzzification
implemented
appropriately
these
Therefore,
study’s
findings
pave
way
investors
decisions
under
circumstances.
concluded
that
criterion
risk
minimization.
Effective
regulations
another
critical
issue.
Furthermore,
results
indicate
suitable
alternative
green
bonds.
with
STPFY-TOPSIS
show
generates
coherent
reliable
findings.
Graphical
abstract
Financial Innovation,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: Jan. 3, 2025
Abstract
High
costs,
technical
difficulties,
and
policy
uncertainties
are
the
main
challenges
in
carbon
capture
technology
investments.
Therefore,
innovative
financial
products
required
to
develop
projects
that
overcome
these
difficulties.
Some
issues
must
be
considered
when
developing
products.
An
important
problem
this
process
is
features
cannot
possibly
exist
together
new
product,
because
each
of
incurs
some
costs.
identifying
most
necessary.
Accordingly,
study
develops
a
product
increase
effectiveness
investments
technologies.
For
purpose,
novel
artificial
intelligence
(AI)-based
fuzzy
decision-making
model
constructed.
First,
weights
experts
were
calculated
by
considering
AI
methodology.
Second,
factors
affecting
investment
technologies
weighted
using
spherical
DEMATEL.
Finally,
for
ranked
ARAS
method.
This
study’s
contribution
its
creation
integrating
methodology
with
theory.
In
process,
an
approach.
It
concluded
cost-effectiveness
prioritized
development
Technological
competence
another
aspect
should
process.
However,
include
risk
management
flexible
financing.
Journal of Soft Computing and Decision Analytics,
Journal Year:
2024,
Volume and Issue:
1(1), P. 18 - 25
Published: Aug. 3, 2024
The
development
of
molten-salt
reactors
is
key
importance
for
the
countries.
Although
these
have
many
advantages,
some
issues
pose
a
barrier
to
projects.
In
this
context,
it
necessary
identify
most
important
factors
affecting
reactors.
This
situation
allows
action
be
taken
without
incurring
very
high
costs.
However,
there
are
limited
studies
in
literature
on
determining
that
affect
performance
Accordingly,
purpose
study
determine
significant
indicators
framework,
main
research
question
which
strategies
should
mainly
implemented
improvements
first
stage,
variables
determined
according
review
results.
Secondly,
weights
calculated.
process,
DEMATEL
methodology
into
consideration.
Based
analysis
results,
appropriate
investment
identified
investments.
It
concluded
environmental
play
issue
addition
issue,
technological
also
situation.
Nevertheless,
social
and
political
lowest
regard.
For
reactors,
must
made
first.
People's
biggest
concern
about
nuclear
negative
effects
environment.
radioactive
wastes
generated
may
impact
negatively
affects
image
use
thorium
instead
uranium
significantly
reduces
amount
waste
as
result
energy
production
process.
Financial Innovation,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: Jan. 21, 2025
Abstract
This
study
assessed
the
connectedness
between
oil
shocks
and
industry
stock
indexes
in
United
States
(US).
We
consider
normal
extreme
conditions
across
different
frequency
horizons,
quantile
time–frequency
method
is
used
to
determine
tail
risk
contagion
under
horizons.
Our
results
reveal
that
short-term
significantly
exceeds
long-term
connectedness.
also
indicate
lower
upper
quantiles
greater
than
at
conditional
mean.
Importantly,
shock
biggest
net
transmitter
of
US
sectors
conditions,
highlighting
cause
substantial
variations
sector
returns
short,
medium,
long
term.
Finally,
QAR(3)
model
demonstrates
significant
impact
on
during
conditions.
Therefore,
our
underscores
role
asymmetry
reaction
oil-related
shocks,
we
suggest
policies
aimed
overcoming
adverse
effects
markets
promoting
financial
stability
should
incorporate
asymmetric
features.
Studia Universitatis „Vasile Goldis” Arad – Economics Series,
Journal Year:
2025,
Volume and Issue:
35(2), P. 113 - 139
Published: April 17, 2025
Abstract
The
most
essential
factors
should
be
defined
to
increase
the
effectiveness
of
sustainable
energy
financing.
Otherwise,
businesses
may
face
some
financial
and
operational
problems
due
not
using
resources
effectively.
However,
only
a
limited
number
studies
in
literature
have
identified
these
important
factors.
This
situation
shows
need
for
new
study
determine
variables
that
greatest
impact
on
Thus,
purpose
this
is
identify
significant
determinants
affect
For
situation,
3-stage
model
constructed
reach
purpose.
first
stage
prioritizes
experts
with
help
artificial
intelligence
(AI).
second
weights
assessment
criteria
financing
by
quantum
spherical
fuzzy
M-SWARA.
Finally,
balanced
scorecard-based
project
priorities
are
ranked
WASPAS.
main
contribution
detailed
evaluation
performed
understand
strategies
improvements
novel
model.
Calculation
expert
AI
increases
quality
originality
Similarly,
considering
M-SWARA,
WASPAS,
theory,
sets
also
because
managing
uncertainties
more
technical
competence
enterprise
Funding
diversification
found
as
items
increasing
Additionally,
according
ranking
results,
it
determined
issues
customer
needs
alternatives.
