Data & Metadata,
Journal Year:
2024,
Volume and Issue:
3
Published: Dec. 30, 2024
Introduction:
The
artisanal
sector
within
Ecuador's
Popular
and
Solidarity
Economy
faces
challenges
such
as
low
levels
of
associativity,
limited
financial
resources,
difficulties
in
product
commercialization.
These
obstacles
have
adversely
affected
competitiveness
sustainability
La
Victoria
Parish
the
Cotopaxi
Province.
Therefore,
this
study
focuses
on
proposing
an
associative
strategy
based
a
collective
brand
to
strengthen
entrepreneurs
Methods:
A
qualitative
descriptive
approach
was
adopted,
focusing
associativity
communities
framework
Economy.
Additionally,
methods
Saaty's
Analytical
Hierarchy
Process
(AHP)
were
applied
evaluate
identified
challenges,
along
with
modeling
Entropy
VIKOR
support
implementation
academic
projects
aimed
at
enhancing
sector.
Results:
demonstrated
improvements
quality,
optimization
commercialization
channels,
access
inclusion
programs,
fostering
local
economic
development.
Conclusions:
Associativity
has
proven
be
fundamental
pillar
for
Moreover,
proposed
can
replicated
other
communities,
strengthening
territorial
development
promoting
social
Salud Ciencia y Tecnología - Serie de Conferencias,
Journal Year:
2025,
Volume and Issue:
4, P. 635 - 635
Published: March 4, 2025
Introduction:
The
integration
of
artificial
intelligence
into
legal
practice
has
generated
a
growing
debate
about
its
ability
to
complement,
but
not
replace,
human
interpretation
rules.
In
fact,
ethical
concerns
have
been
raised
the
this
technology
with
respect
environment.
Consequently,
present
study
focused
on
analyzing
impact
practice,
and
in
particular
hermeneutics.
Likewise,
it
is
intended
determine
main
challenges
that
prevent
as
tool
optimization
operation.Methods:
A
bibliographic
review
surveys
professionals
were
used
analyze
role
field.
As
well
modeling
Saaty's
AHP
method
identifying
greatest
implementation
sphere.Results:
results
indicate
that,
although
improved
efficiency
repetitive
data
management
tasks,
critical
contextual
standards
constitutes
task.
However,
adoption
faced
barriers
such
resistance
change
lack
specialized
training.Conclusions:
It
essential
adopt
actions
allow
assist
without
replacing
interpretation.
addition,
necessary
develop
regulatory
frameworks
continuous
training
programs
ensure
an
effective
law.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 21, 2025
The
procurement
of
medical
equipment
is
a
critical
concern
for
healthcare
organizations
striving
to
deliver
comprehensive
patient
care.
Thus,
the
process,
including
performance
evaluation
and
selection
suppliers,
poses
significant
challenge
organizations.
decision-making
process
also
involves
multiple
decision-makers
making
subjective
judgments
about
various
quantitative
qualitative
criteria
several
alternative
suppliers.
This
paper
presents
framework
supplier
under
uncertain
assessment
information
by
integrating
rank
order
centroid
(ROC)
fuzzy
analytic
hierarchy
(fuzzy
AHP)
techniques.
first
stage
identifying
key
influencing
suppliers
ROC
technique
used
assign
weights
important
criteria,
reducing
uncertainty
weight
assignment
judgment
decision-makers.
AHP
method
then
applied
evaluate
potential
based
on
their
overall
performance.
approach
validated
through
case
study
in
hospital
setting,
demonstrating
practical
applicability
proposed
real-world
scenario.
Results
indicate
that
hybrid
effectively
supports
group
uncertainty,
providing
with
systematic
logical
selecting
most
suitable
supplier.
enhances
efficiency
better
resource
allocation
healthcare.
Engineering Construction & Architectural Management,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 20, 2024
Purpose
The
global
construction
industry
has
a
history
of
poor
project
success,
with
evident
and
frequent
overruns
in
cost
schedule.
This
is
highly
interconnected
complex
system
which
the
components,
i.e.
suppliers,
contractors,
end-users,
stakeholders,
are
delicately
linked
to
each
other,
community,
environment.
Therefore,
defining
measuring
success
can
be
challenging
for
sponsors,
public.
To
address
this
issue,
study
develops
analyzes
more
comprehensive
set
criteria
medium
large
projects.
Design/methodology/approach
After
reviewing
existing
literature,
identified
19
projects,
were
categorized
into
five
groups.
fuzzy
decision-making
trial
evaluation
laboratory
(fuzzy
DEMATEL)
method
was
used
gain
further
insight
interrelationships
between
these
categories
explain
cause-and-effect
relationships
among
them.
Next,
applied
modified
logarithmic
least
squares
determine
importance
weight
using
analytic
hierarchy
process.
Findings
28
managers
working
industries
Australia
New
Zealand
participated
study.
Results
suggest
that
“project
efficiency”
“impacts
on
team”
cause
affect
“business
success,”
stakeholders,”
end-users.”
Effective
risk
management
emerged
as
most
crucial
criterion
efficiency,
while
customer
satisfaction
return
investment
top
end-users”
success.”
Originality/value
Although
numerous
studies
have
been
conducted
criteria,
multicriteria
analyses
rare.
paper
presents
tailored
aim
analyze
their
prioritize
them
thoroughly,
will
aid
practitioners
focusing
important
achieving
higher
rates.
Systems,
Journal Year:
2024,
Volume and Issue:
12(6), P. 222 - 222
Published: June 20, 2024
The
product
design
process,
fraught
with
uncertainties
and
ambiguities
in
its
requirements
constraints,
commonly
traverses
multiple
stages,
each
emphasizing
distinct
aspects.
This
engenders
heterogeneity
decision-making
criteria,
rendering
the
effective
integration
of
information
from
various
stages
(PDDM)
a
pivotal
task
identifying
optimal
solution.
Surprisingly,
limited
research
has
attended
to
challenge
consolidating
such
heterogeneous
across
PDDM
stages.
To
bridge
this
gap,
our
study
employs
real
numbers,
interval
linguistic
terms
capture
judgments
decision-makers.
We
fuse
Maximization
Deviation
Method
analytic
hierarchy
process
(AHP)
for
determining
indicators’
weights,
while
decision-makers’
weights
are
derived
through
dual
consideration
uncertainty
measure
using
fuzzy
entropy
distance-minimization
model
applied
matrix
achieving
consistency.
Leveraging
advantage
axiomatic
design,
alternatives
evaluated
based
on
their
content
matrices.
Given
multistage
nature
stages’
computed
by
assessing
consistency
degree
matrices
at
stage.
Ultimately,
approach
achieves
fusion
axiom
weighting.
A
case
involving
specific
numerical
control
machine
illustrates
efficacy
method
integrating
data,
yielding
comprehensive
perspective
viability
schemes.
Results
show
that
ranking
sequence
schemes
solidifies
x3
>
x2
x1
2
3
PDDM,
diverging
initial
order
observed
stage
1
(x2
x1),
fused
result
analysis
aligns
later
rankings,
indicating
credibility
persuasiveness
fortified.
methodology
thus
offers
robust
framework
synthesizing
navigating
complexities
inherent
contexts.