International Journal of Theory of Organization and Practice (IJTOP),
Год журнала:
2024,
Номер
3(2), С. 100 - 118
Опубликована: Янв. 11, 2024
Abstract
This
study
was
focused
to
find
out
how
SMART
Governance
has
changed
program
governance
for
better
interaction
and
communication
in
UAE.
A
primary
quantitative
research
method
employed
complete
this
study,
where
it
aimed
empirically
evaluate
Primary
conducted
a
closed-ended
questionnaire-based
online
survey
carried
using
Google
Forms.
The
data
collected
from
sample
of
10
participants
the
UAE
different
entities
who
took
part
management.
analysed
statistically
results
were
interpreted
get
findings
which
are
discussed
below.
Based
on
found
that
provides
reliable
structure
public
with
government.
It
helps
achieving
good
makes
management
easier
because
develops
common
understanding
roles
responsibilities
government
employees.
Moreover,
simplifies
information
dissemination
Besides,
enables
have
two-way
access
services.
Therefore,
based
concluded
is
recommended
use
change
Computers and Education Artificial Intelligence,
Год журнала:
2022,
Номер
3, С. 100052 - 100052
Опубликована: Янв. 1, 2022
The
metaverse
is
a
kind
of
imagined
world
with
immersive
digital
spaces
that
increase,
allowing
more
interactive
environment
in
educational
settings.
an
expansion
the
synchronous
communication
embraces
effective
number
users
to
share
different
experiences.
study
aims
investigate
students'
perceptions
towards
system
for
purposes
Gulf
area.
conceptual
model
comprises
adoption
properties,
namely
trialability,
observability,
compatibility,
and
complexity,
users'
satisfaction,
personal
innovativeness,
Technology
Acceptance
Model
(TAM)
constructs.
novelty
paper
lies
its
correlates
both
personal-based
characteristics
technology-based
features.
In
addition,
novel
approach
hybrid
analysis
will
be
used
current
perform
deep-learning-based
structural
equation
modelling
(SEM)
artificial
neural
network
(ANN).
Moreover,
importance-performance
map
(IPMA)
evaluate
involved
factors
their
importance
performance.
identified
Perceived
Usefulness
(PU)
essential
predictor
factor
Users’
Intention
Use
Metaverse
System
(MS).
fact
was
discovered
during
ANN
IPMA
analysis.
Furthermore,
this
practically
significant,
as
it
helped
concerned
authorities
sector
understanding
significance
each
allowed
them
make
efforts
plans
according
order
factors.
Another
important
implication
methodological
nature.
It
validates
deep
architecture
can
offer
insight
into
non-linear
relationships
shared
by
various
theoretical
model.
Informatics,
Год журнала:
2021,
Номер
8(4), С. 83 - 83
Опубликована: Ноя. 24, 2021
The
purpose
of
this
study
is
to
investigate
students’
intention
continue
using
online
learning
platforms
during
face-to-face
traditional
classes
in
a
way
that
parallel
their
usage
virtual
(during
the
pandemic).
This
investigation
based
on
conceptual
model
uses
newly
used
external
factors
addition
technology
acceptance
(TAM)
contrasts;
hence,
it
takes
into
consideration
users’
satisfaction,
factor
information
richness
(IR)
and
quality
educational
system
disseminated.
participants
were
768
university
students
who
have
experienced
teaching
environments
both
pandemic.
A
structural
equation
modelling
(SEM)
test
was
conducted
analyse
independent
variables,
including
situation
awareness
(SA),
perceived
ease
use,
usefulness,
IR,
education
quality.
An
questionnaire
explore
perceptions
use
accessibly
environment.
results
showed
(a)
prefer
higher
level
content
richness,
be
able
implement
three
dimensions
(perception,
comprehension
projection);
(b)
there
significant
effects
TAM
constructs
satisfaction
acceptance;
(c)
are
favour
platform
characterised
by
high
(d)
with
more
positive
attitude
willingness
system.
Acta Psychologica,
Год журнала:
2022,
Номер
230, С. 103730 - 103730
Опубликована: Авг. 30, 2022
The
integration
of
television
screens
to
become
a
new
media
interaction
is
one
the
most
significant
shifts
that
technology
has
brought
us.
Today,
Social
TV
developed
source
communication,
education,
and
entertainment
through
interactive
platforms.
This
study
examines
factors
influencing
acceptance
among
Generation
Z
in
Jordan.
We
employed
cross-sectional
design
obtained
data
from
n
=
304
respondents.
Findings
attained
Structural
Equation
Modelling
revealed
different
(e.g.,
personal
beliefs,
attitude
towards
behaviour,
intention
behaviour)
predicted
respondents'
attitudes
behaviour
regarding
behavioural
acceptance.
However,
was
not
linked
subjective
norms,
with
latter
correlated
behaviour.
proposed
mediation
role
perceived
ease-of-use
usefulness
had
influence,
indicating
how
deeply
associated
patterns
habits.
Thus,
we
conclude
terms
explaining
human
motivational
accelerating
one's
intention,
their
impacts,
complex
phenomenon.
Sustainability,
Год журнала:
2023,
Номер
15(4), С. 3664 - 3664
Опубликована: Фев. 16, 2023
The
demand
for
mobile
payments
using
smartphones
to
substitute
the
need
cash,
credit
cards,
or
checks
is
swiftly
increasing
in
Pakistan.
This
study
investigates
factors
determining
consumers’
behavioral
intention
adopt
near-field
communication
payment
from
a
developing
country’s
viewpoint.
A
conceptual
framework
was
adopted
based
on
technology
acceptance
model
(MTAM),
integrating
self-efficacy
theory,
critical
mass
flow
and
system
service
quality
elucidate
intention.
Data
were
collected
through
self-administered
questionnaire
applied
310
nonusers
of
analysis
performed
SmartPLS3.0.
results
demonstrated
that
other
independent
variables
are
main
predictors
besides
self-efficacy,
perceived
mass,
ease
use.
concludes
with
key
implications
future
work
directions
concerning
limitation
this
study.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 40752 - 40764
Опубликована: Янв. 1, 2024
The
utilization
of
E-learning
platforms
has
attracted
considerable
attention
recently.
Universities
are
increasingly
adopting
diverse
that
offer
a
range
features
to
enhance
student
satisfaction
and
promote
their
sustained
platforms.
task
consistently
engaging
encouraging
students
use
remains
persistent
challenge.
Many
tend
discontinue
participation
in
E-Learning
platform
courses,
showing
reluctance
towards
engagement
with
the
platform.
Therefore,
this
research
analyses
essential
factors
impacting
students'
inclination
sustain
present
study
uses
"Expectation
Confirmation
Model"
(ECM)
four
factors:
"interactivity",
"social
influences",
"computer
self-efficacy",
"perceived
enjoyment".
A
survey
was
administered
college
via
online
Google
Forms,
resulting
362
respondents.
data
analysis
is
conducted
using
Smart-PLS
4
Programme.
Based
on
its
findings,
presented
"conceptual
framework"
for
Results
show
perceived
enjoyment,
satisfaction,
interactivity,
computer
self-efficacy,
social
influences
impact
continuing
intention.
This
indicates
most
substantial
consequence
intention
persist
utilizing
model
prediction
power
(R2)
70
%,
which
can
explain
users'
continuous
International Journal of Business Analytics and Security (IJBAS),
Год журнала:
2023,
Номер
3(1), С. 180 - 191
Опубликована: Май 7, 2023
This
article
focuses
on
the
opportunities
of
utilizing
Artificial
intelligence
in
project
management
general.
Special
emphasis
to
data
driven
decision
making
and
relevant
tools
represented
processes,
techniques
PMIS.
The
used
support
this
research
is
collected
from
primary
secondary
sources
emphasize
paper
results.
approach
collection
was
a
qualitative
method
where
interviews
conducted.
Advanced
projects
cases
Dubai
UAE
were
also
investigated.
results
showed
that
with
creation
big
data,
AI
can
now
be
more
than
just
technology
capable
performing
complex
tasks
using
advanced
algorithms.
helps
effectively
through
integrating
phases
entire
lifecycle
process.
Bringing
domain
across
world
provide
sustainable
for
future
generations.
It
assists
faster
smarter
decisions.
recommended
monitor
until
users
are
satisfied
trust
systems
outcome.
will
have
tremendous
growth
as
smart
cities
growing
bigger
,
demanding.
Symmetry,
Год журнала:
2021,
Номер
13(11), С. 2040 - 2040
Опубликована: Окт. 29, 2021
This
study
analyses
the
main
challenges,
trends,
technological
approaches,
and
artificial
intelligence
methods
developed
by
new
researchers
professionals
in
field
of
machine
learning,
with
an
emphasis
on
most
outstanding
relevant
works
to
date.
literature
review
evaluates
methodological
contributions
through
learning.
The
methodology
used
documents
was
content
analysis;
basic
terminology
corresponds
intelligence,
big
data
between
years
2017
2021.
For
this
study,
we
selected
181
references,
which
120
are
part
review.
conceptual
framework
includes
12
categories,
four
groups,
eight
subgroups.
management
using
AI
methodologies
presents
symmetry
learning
groups:
supervised
unsupervised
semi-supervised
reinforced
Furthermore,
more
all
groups
neural
networks,
Support
Vector
Machines,
K-means,
Bayesian
Methods.
Finally,
five
research
avenues
presented
improve
prediction
International Journal of Innovations in Science Engineering and Management.,
Год журнала:
2025,
Номер
unknown, С. 01 - 06
Опубликована: Апрель 7, 2025
Cash
has
been
the
major
means
of
transaction
among
people
but
after
spread
COVID-19,
cash
become
a
potential
carrier
disease.
There
is
high
risk
associated
with
usage
as
it
passes
on
from
one
hand
to
other.
In
such
case
e
payment
platforms
comes
rescue.
These
not
only
reduce
spreading
COVID-19
also
make
transactions
convenient.
A
large
number
e-payment
are
available
in
country.
People
had
using
even
before
pandemic
populations
was
reluctant
because
perceived
risks
its
usage.
But,
inspired
consider
benefits
payments
comparison
risks.
The
paper
deals
relation
that
how
usefulness
have
impacted
adoption
and
amidst
COVID-19.
study
done
help
questionnaire
sample
size
219
people.
Sustainability,
Год журнала:
2025,
Номер
17(8), С. 3487 - 3487
Опубликована: Апрель 14, 2025
The
rapid
development
of
information
technologies
has
significantly
transformed
education,
making
digital
tools
and
e-learning
platforms
essential
for
modern
learning
processes.
This
research
study
examines
mobile
(m-learning)
adoption
among
higher
education
students,
emphasising
the
importance
user
acceptance
implementing
in
education.
Using
a
model
based
on
UTAUT
framework
analysed
via
PLS–SEM,
investigates
business
students’
behavioural
intention
to
adopt
m-learning
(in
our
case,
Microsoft
Teams),
offering
valuable
insights
into
their
efficacy
long-term
viability,
explicitly
focusing
use
devices
version
Teams
application
educational
purposes.
study’s
findings
indicate
that
all
four
examined
factors
influence
applications,
with
“performance
expectancy”
having
most
substantial
impact.
survey
highlights
sustained
even
after
pandemic.
These
results
reinforce
expectations
improved
performance
play
crucial
role
adopting
apps
m-learning.
also
suggest
increasing
rates
requires
improving
system
usability,
minimising
reliance
external
support
through
intuitive
design
training,
leveraging
peer
enhance
engagement
environments.