Representations of epistemic uncertainty and awareness in data-driven strategies
Soft Computing,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 29, 2024
Abstract
The
diffusion
of
AI
and
big
data
is
reshaping
decision-making
processes
by
increasing
the
amount
information
that
supports
decisions,
while
reducing
direct
interaction
with
empirical
evidence.
This
paradigm
shift
introduces
new
sources
uncertainty,
as
limited
observability
results
in
ambiguity
a
lack
interpretability.
need
for
proper
analysis
data-driven
strategies
motivates
search
models
can
describe
this
type
bounded
access
to
knowledge.This
contribution
presents
novel
theoretical
model
uncertainty
knowledge
representation
its
transfer
mediated
agents.
We
provide
dynamical
description
states
endowing
our
structure
compare
combine
them.
Specifically,
an
update
represented
through
combinations,
explainability
based
on
consistency
different
dimensional
representations.
look
at
inequivalent
representations
terms
multiplicity
inferences,
preference
relations,
measures.
Furthermore,
we
define
formal
analogy
two
scenarios
illustrate
non-classical
(Ellsberg’s
model)
reasoning
about
other
agents
observing
(Wigner’s
Friend).
Finally,
discuss
some
implications
proposed
strategies,
special
attention
under
business
value
dimensions
design
measurement
tools
their
assessment.
Язык: Английский
Conceptual structure and thematic evolution in partial least squares structural equation modeling research
Quality & Quantity,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 6, 2025
Язык: Английский
Detecting Causal Relations Among Indicators with the CTA Test: Simulations and Applications
Social Indicators Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 10, 2025
Abstract
In
the
context
of
using
structural
equation
modelling
to
develop
economic
and
social
indicators,
a
debate
regarding
choice
measurement
modes
for
theoretical
constructs
is
becoming
very
important
issue,
with
conceptual
practical
implications.
The
nature
each
construct,
which
can
be
defined
as
reflective
or
formative,
mainly
based
on
considerations,
but
confirmatory
tetrad
analysis
(CTA)
support
decisions
about
model
specification.
One
flexible
approach
carrying
out
CTA
involves
multiple
hypothesis
testing,
also
provides
relevant
information
empirical
data
guide
construction
composite
indicators.
This
prompts
deeper
investigation
effects
correction
methods
derived
from
tests,
special
attention
error
control
statistical
power.
this
study,
we
explore
properties
six
procedures,
in
particular
well-known
Bonferroni
Benjamini–Hochberg
corrections,
various
simulation
scenarios
real
applications.
We
find
that,
respect
Benjamini–Hochberg,
too
conservative
has
lower
power,
especially
small
sample
sizes
many
manifest
variables.
Язык: Английский
A higher-order job crafting mediation model with PLS-SEM: relationship between organizational identification and communication satisfaction
Soft Computing,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 29, 2024
Abstract
In
recent
years,
global
events
have
redefined
working
life,
stimulating
new
organizational
models.
This
work
focuses
on
job
crafting,
which
is
considered
the
way
to
improve
relationship
between
some
variables
and
other
individual
such
as
identification
satisfaction
with
communication,
both
of
are
crucial
achieving
sustainable
levels
well-being.
The
study
examines
role
latent
constructs
that
can
promote
adaptive
responses
well
their
relations.
particular,
we
focus
in
promoting
responses,
including
increase
structural
resources,
challenging
demands,
social
resources
strategies
communication.
analysis
carried
out
using
robust
statistical
techniques
suited
causal
relations
abstract
constructs.
Specifically,
after
Confirmatory
Composite
Analysis
(CCA-PLS)
evaluate
quality
data
collected,
a
higher
order
mediation
model,
based
partial
least
squares
equation
modeling
(PLS-SEM),
was
performed
test
crafting.
addition,
prioritize
importance–performance
map
(IPMA)
relevance
performance
each
construct
this
model.
results
show
identification,
corresponding
high
sense
belonging,
communication
at
all
through
Язык: Английский
Issues in behavioral data science
Behaviormetrika,
Год журнала:
2024,
Номер
51(1), С. 287 - 289
Опубликована: Янв. 1, 2024
Язык: Английский
Helping in Times of War: How Uncertainty Modulates Aid to Ukrainian Refugees through Compassion and Threat
Human Affairs,
Год журнала:
2024,
Номер
35(1), С. 61 - 82
Опубликована: Окт. 15, 2024
Abstract
The
present
paper
focuses
on
the
antecedents
of
solidarity
behavior
towards
Ukrainian
refugees,
specifically
examining
role
subjective
uncertainty
generated
in
public
opinion
by
aggression
Ukraine
feelings
compassion
and
perceptions
refugees
as
a
threat.
Based
pooled
data
from
six
representative
samples
collected
different
waves
during
first
months
Russian
army’s
invasion
among
sample
adult
Italian
citizens
(
N
=
6,063),
study
provided
support
for
intensification
hypothesis,
suggesting
that
can
act
an
affective
amplifier.
Indeed,
results
showed
increased
threat
(acting
its
emotional
component,
i.e.,
anxiety),
but
also
compassion,
which
is
main
driver
solidarity.
Moreover,
seemed
to
reduce
(perceived)
posed
economic,
cultural,
security,
or
political
level.
pattern
relationships
tested
model
proved
be
stable
across
areas
country
6
invasion,
empathic
concern
suffering
population
under
attack
did
not
significantly
diminish
effects
over
period
considered.
Язык: Английский