Theoretical Economics Letters,
Год журнала:
2023,
Номер
13(05), С. 1203 - 1223
Опубликована: Янв. 1, 2023
The
recent
global
changes
in
Information
and
Communications
Technology
(ICT),
have
demonstrated
a
tremendous
range
of
technological
use
cases
including
the
Artificial
Intelligent
(AI)
applications
(apps)
for
financial
services.
In
light
latest
developments
generative
AI
tools
such
as
ChatGPT,
this
study
develops
an
innovative
research
model
used
prediction
most
significant
factors
influencing
consumers'
willingness
to
accept
buy
banking
apps,
under
theory
Value-based
Adoption
Model
(VAM).
authors
conducted
online
survey
Greek
consumers
apps
using
Structural
Equation
Modeling
(SEM)
determine
which
variables
enhance
customers'
perceived
value
performing
influence
on
adoption
purchase.
This
found
that
trust
happiness
are
impacting
intention
conversational
apps.
likely
outcome
is
mediating
role
pay
conclusions
implications
marketing
can
help
institutions
augment
accuracy
audit
advisory
services,
enhancing
customer
satisfaction
engagement
increasing
bank
competitiveness.
Journal of Computer Information Systems,
Год журнала:
2024,
Номер
unknown, С. 1 - 15
Опубликована: Янв. 19, 2024
The
evolution
of
mobile
technology
has
contributed
to
the
growth
seen
in
applications
(m-apps)
usage.
Since
businesses
have
accelerated
their
development
platforms
for
services,
number
m-apps
that
are
available
users
increased.
This
poses
a
challenge
companies,
as
they
seek
retain
long-term
user
base
also
need
be
aligned
with
consumers'
beliefs
and
wants,
promote
use
own
m-apps.
research
investigates
motivations
behind
users'
intention
continuously
We
employ
expectation-confirmation
model
(ECM)
incorporate
perspective
lifestyle
compatibility.
A
total
175
responses
questionnaires
were
obtained
from
an
online
survey
empirically
validate
proposed
model,
using
partial
least
squares
(PLS)
method.
findings
demonstrate
compatibility
is
strong
predictor
continuance
Iraqi Journal for Computer Science and Mathematics,
Год журнала:
2024,
Номер
5(1)
Опубликована: Янв. 1, 2024
Text
mining,
a
subfield
of
natural
language
processing
(NLP),
has
received
considerable
attention
in
recent
yearsdue
to
its
ability
extract
valuable
insights
from
large
volumes
unstructured
textual
data.
This
review
aims
toprovide
comprehensive
evaluation
the
applicability
text
mining
techniques
across
various
domains
andindustries.The
starts
off
with
dialogue
basic
ideas
and
methodologies
that
are
concerned
contentmining
together
preprocessing,
feature
extraction,
machine
learning
algorithms.Furthermore,
this
survey
highlights
challenges
faced
at
some
stage
implementing
content
miningstrategies.
Additionally,
explores
emerging
tendencies
possibilities
text-mining
research.
Itdiscusses
advancements
deep
models
for
evaluation,
integration
different
AI
technologies
likeimage
or
speech
recognition
multimodal
analysis,
utilization
domain-unique
ontologies
information
graphsfor
more
desirable
facts,
incorporation
explainable
strategies
improveinterpretability.
The
findings
overview
analyzed
identify
common
developments
patterns
textmining
packages
extraordinary
domain
names.The
consequences
paper
will
advantage
researchers
by
means
imparting
updated
expertise
modernpractices
mining.
it
manual
practitioners
selecting
suitable
theirunique
application
names
while
addressing
capacity-demanding
situations.
Mobile
Health
(mHealth)
technologies
are
transforming
healthcare
by
making
it
more
accessible,
efficient,
and
patient-centric.
This
study
investigates
the
factors
influencing
Millennial’s
mobile
health
adoption
intention
(mHAI).
We
propose
a
research
model
based
on
integrated
of
Unified
Theory
Acceptance
Use
Technology—UTAUT
belief
model—HBM.
A
cross-sectional
was
carried
out
employing
purposive
sampling
to
enlist
Generation
Y
(born
between
1981
1996)
220
valid
questionnaires
were
collected.
employed
structure
equation
modeling
partial
least
square
(SEM-PLS)
along
with
artificial
neural
network
(ANN)
importance–performance
map
analysis
(IPMA)
analyze
our
model.
The
findings
revealed
that
performance
expectancy
is
most
influential
factor,
while
effort
showed
no
significant
association
mHAI.
Theoretical
managerial
implications
offered
expand
literature
digital
studies,
indicating
how
providers
in
developing
countries
can
attract
their
potential
users.
Addictive Behaviors,
Год журнала:
2025,
Номер
167, С. 108329 - 108329
Опубликована: Апрель 5, 2025
The
outbreak
of
the
coronavirus
disease
2019
(COVID-19)
led
many
individuals
to
utilize
digital
devices,
including
smartphones,
minimize
in-person
activities.
How
pandemic
brought
about
a
long-term
impact
on
smartphone
overuse
is
still
unclear
owing
mixed
results
previous
studies.
This
prospective
study
investigated
whether
levels
increased
over
three
years
after
COVID-19
outbreak.
Recruited
through
research
marketing
company,
86,827
Japanese
adults
were
deemed
eligible
take
part
in
this
and
responded
outcome
measures
other
related
use
COVID-19.
Data
collection
occurred
before
December
at
six
subsequent
time
points
between
first
Japan
2022.
Contrary
hypothesis,
growth
model
analysis
(GMA)
revealed
downward
trajectories
all
measures:
Smartphone
Addiction
Scale,
Short
Version,
GMA
d
=
-0.13;
overuse,
-0.14;
negative
consequences
from
-0.23.
A
complete
case
suggested
robustness
these
effect
sizes.
Moderators
declines
included
spending
less
money
purchasing
new
apps
stronger
beliefs
not
having
contracted
As
turned
online
platforms
during
outbreak,
high
reliance
technologies,
once
perceived
as
pandemic,
may
have
become
necessary
preventive
against
resulting
diminished
overuse.
Purpose
This
paper
aims
to
improve
input-output
utility
and
business
benefits
(consumer
satisfaction
purchases)
of
24h
pharmacies,
avoiding
them
quitting
this
humanistic
project
due
higher
costs
unstable
returns.
Design/methodology/approach
In
light,
takes
online
reviews
on
multiple
e-retail
pharmacies
from
May
20,
2021,
March
12,
2024,
as
research
data
explores
the
insights
configurational
effects
pharmacy
empathy
under
different
types
drugs,
time
periods
cities
with
method
combining
texts
mining
fuzzy-set
qualitative
comparative
analysis.
Findings
The
results
show
that
e-pharmacy
includes
responsiveness,
perseverance,
attitudes
convenience.
combination
can
enhance
consumer
purchases
in
ways
(four
configurations
three
purchase
configurations).
interaction
drug
service
responsiveness
perseverance
be
a
“panacea”
awaken
consumers'
gratitude
or
forgiveness.
Besides,
spatial
heterogeneity
indicates
strategy
metropolises
more
earns
customer
loyalty
based
emergency
medication
ordinary
cities.
Originality/value
provides
an
optimistic
trajectory
empirical
evidence
for
24
continue
meaningful
but
risky
spatio-temporal
context
by
employing
strategy.
Meanwhile,
it
offers
feasibility
mixed
integrating
textual
research.
