Spatial Evolution Analysis of the Level of Digital Economy Development in China
Jing Feng,
T. T. Han,
Ziqi Xia
и другие.
Communications in computer and information science,
Год журнала:
2025,
Номер
unknown, С. 174 - 188
Опубликована: Янв. 1, 2025
Язык: Английский
Digital Media Victimization Among Older Adults in Upper-Southern Thailand
Informatics,
Год журнала:
2025,
Номер
12(1), С. 24 - 24
Опубликована: Фев. 21, 2025
Online
fraud
threatens
the
well-being
of
older
adults,
with
disparities
in
digital
literacy
and
socioeconomic
conditions
amplifying
their
vulnerability.
This
study
examined
victimization
behavior
among
adults
urban
rural
settings,
identifying
key
factors
influencing
its
consequences.
cross-sectional
analytical
study,
using
multi-stage
sampling,
included
864
participants
from
Southern
Thailand.
The
findings
revealed
that
46.3%
had
adequate
literacy,
while
75.3%
experienced
victimization,
higher
rates
health
impacts
areas.
Higher
age
(Adjusted
Odds
Ratios;
AOR:
1.83,
p
=
0.004),
income
(AOR:
2.28,
0.003),
residence
3.03,
<
0.001)
were
significantly
associated
an
increased
likelihood
fraudulent
victimization.
Conversely,
being
non-Buddhist
0.47,
having
0.50,
protective
factors.
Fraud
affected
adults’
health,
29.5%
reporting
following
adverse
outcomes:
physical
5.55),
emotional
7.80),
social
4.97),
overall
heightened
risks
7.71,
0.001).
research
highlights
importance
improving
fostering
community
awareness,
implementing
tailored
fraud-prevention
strategies
to
protect
adults.
provides
a
foundation
for
evidence-based
policies
aimed
at
mitigating
enhancing
era.
Язык: Английский
Ageing and digital shopping: Measurement and validation of an innovative framework
PLoS ONE,
Год журнала:
2025,
Номер
20(3), С. e0315125 - e0315125
Опубликована: Март 19, 2025
Senior
citizens
are
the
fastest
growing
demographic
in
world.
Amid
an
intensification
of
digitalisation
across
every
sector,
evidence
suggests
older
people
slow
to
adopt
and
use
many
online
tools
services.
Moreover,
despite
studies
showing
differences
behaviour
compared
rest
population,
established
models
specifically
dedicated
explaining
their
have
remained
limited.
Therefore,
based
on
components
UTAUT,
we
propose
a
new
conceptual
model
that
focuses
senior
citizens.
We
introduce
four
constructs:
health
needs,
place
settlement
(rural/urban),
perceived
trust,
risk.
Data
were
collected
from
320
seniors
Russia
structural
equation
modelling
was
used
for
data
analysis.
With
cumulative
variance
86%,
test
validation
results
demonstrate
our
proposed
provides
better
explanation
people’s
shopping
than
original
UTAUT
model.
This
important
framework
future
digital
behaviours
seniors.
Язык: Английский