Unlocking the metaverse: Determinants of voluntary adoption in e-commerce
Sustainable Futures,
Год журнала:
2025,
Номер
9, С. 100436 - 100436
Опубликована: Янв. 16, 2025
Язык: Английский
Factors Determining the Continuance Intention to Use Mobile English Learning Applications: An Application and Extension of Expectation Confirmation Model in the Mobile‐Assisted Language Learning Context
European Journal of Education,
Год журнала:
2025,
Номер
60(2)
Опубликована: Март 31, 2025
ABSTRACT
Despite
the
rapid
growth
of
integrating
language
learning
applications
into
educational
settings,
limited
studies
have
reported
students'
continuance
intention
to
use
mobile
English
in
mobile‐assisted
(MALL)
context.
This
study
extended
expectation
confirmation
model
(ECM)
with
self‐efficacy
and
perceived
enjoyment.
Data
were
collected
from
251
university
students
through
an
online
questionnaire
analysed
using
SPSS
AMOS.
The
findings
revealed
that:
(1)
satisfaction,
usefulness,
significantly
affected
intention,
satisfaction
acting
as
key
influencing
factor;
(2)
had
a
positive
influence
on
enjoyment;
(3)
enjoyment
did
not
usefulness
failed
predict
intention.
this
provide
practical
insights
for
educators
application
developers
improve
teaching
effectiveness
user
experience
settings.
Язык: Английский
Real vs. Perceived Use
Journal of Global Information Management,
Год журнала:
2025,
Номер
33(1), С. 1 - 24
Опубликована: Апрель 3, 2025
This
study
examines
the
elements
of
matchmaking
intention,
highlighting
a
significant
gap
in
behaviors
within
Metaverse
platforms.
The
explores
socio-psychological
and
behavioral
factors
impacting
intention
this
digital
landscape.
We
developed
conceptual
model
integrating
social
presence
theory
status
quo
bias
with
technology
acceptance
(TAM).
Using
survey
data
from
512
participants
across
various
regions
India,
we
tested
proposed
relationships
through
structural
equation
modeling.
results
indicate
that
intimacy,
interactivity,
connectedness,
responsiveness
contribute
to
increased
agreeableness
regarding
on
Furthermore,
real,
non-perceived
usage
significantly
moderates
relationship
between
intention.
Our
findings
provide
valuable
insights
for
creating
effective
marketing
strategies
enhance
user
intentions
Metaverse.
can
be
used
launch
any
new
service
Язык: Английский
Optimization of Intelligent Maintenance System in Smart Factory Using State Space Search Algorithm
Applied Sciences,
Год журнала:
2024,
Номер
14(24), С. 11973 - 11973
Опубликована: Дек. 20, 2024
With
the
continuous
growth
of
Industry
4.0
(I4.0),
industrial
sector
has
transformed
into
smart
factories,
enhancing
business
competitiveness
while
aiming
for
sustainable
development
organizations.
Machinery
is
a
critical
component
and
key
to
success
production
in
factory.
Minimizing
unplanned
downtime
(UPDT)
poses
significant
challenge
designing
an
effective
maintenance
system.
In
era
4.0,
most
widely
adopted
frameworks
are
intelligent
systems
(IMSs),
which
integrate
predictive
with
computerized
systems.
IMSs
tools
designed
efficiently
plan
cycles
each
machine
This
research
presents
application
search
algorithm
named
state
space
(SSS)
conjunction
newly
IMS,
aimed
at
optimizing
routines
by
identifying
optimal
timing
cycles.
The
design
began
new
IMS
concept
that
incorporates
three
elements:
automation
pyramid
standard,
Industrial
Internet
Things
(IIoT)
sensors,
management
system
(CMMS).
CMMS
collects
data
from
database,
real-time
parameters
gathered
via
IIoT
sensors
supervisory
control
acquisition
(SCADA)
provides
summary
total
cost
remaining
lifetime
equipment.
By
integrating
SSS
algorithms,
optimized
cycle
solutions
manager,
focusing
on
minimizing
costs
maximizing
Moreover,
algorithms
take
account
risks
associated
routines,
following
factory
standards
such
as
failure
mode
effects
analysis
(FMEA).
approach
well
suited
factories
helps
reduce
UPDT.
Язык: Английский