The moderating role of perceived trust in predicting the adoption intention of consumers toward online pharmacies using the application of UTAUT model
International Journal of Pharmaceutical and Healthcare Marketing,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 29, 2025
Purpose
This
study
aims
to
identify
the
factors
influencing
consumer
perception
and
adoption
intention
toward
online
pharmacy.
Design/methodology/approach
A
questionnaire
was
formulated
based
on
unified
theory
of
acceptance
use
technology
(UTAUT)
framework
scales
available
in
existing
literature.
An
aggregate
451
respondents
participated
survey.
To
test
hypothesis,
confirmatory
factor
analysis
structure
equation
modeling
are
used
for
analyzing
structural
relationships
between
dependent
independent
variables.
Findings
inspects
significant
effect
perceived
trust,
different
UTAUT
constructs
pharmacy
consumers.
The
results
determine
substantial
moderating
trust
consumers’
pharmacies.
Research
limitations/implications
research
extended
application
model
with
Only
specific
have
been
selected
from
this
study.
Practical
implications
outcomes
useful
managers
realize
role
technological
platforms
facilitating
selling
medicines
Social
findings
helpful
pharmaceutical
companies
improve
their
buying
process
consumers
seeking
purchase
through
Originality/value
is
unique
contains
newness
form
customer
Язык: Английский
Analysis of Consumer Behavioral Factors Between Online Shopping and Physical Store Experience in the M-Commerce Era
Telecom,
Год журнала:
2025,
Номер
6(1), С. 17 - 17
Опубликована: Март 6, 2025
Consumer
behavior
has
changed
considerably
over
time.
In
recent
decades,
people
have
used
resources
at
a
rate
that
exceeds
the
total
consumed
throughout
history.
This
paper
aims
to
address
determinants
of
smartphone
purchase
decision,
emphasizing
gender
differences,
price
influence,
and
previous
online
shopping
experience.
The
methodology
combines
bibliometric
review
literature
identify
major
trends
in
consumer
research
quantitative
survey
provides
insight
into
process.
highlights
brand
preferences,
patterns,
product
selection
criteria,
influence
socioeconomic
factors
on
identifying
versus
physical
store
decisions
among
young
consumers
northeastern,
east,
southeastern
regions
Romania.
Thus,
our
analysis
variables
influencing
preferences
assess
statistical
significance
these
differences
using
methods
relevant
tests.
collected
data
came
from
valid
sample
456
respondents
for
general
271
cases
analysis.
shows
is
significant
predictor
decisions,
with
men
being
2.65
times
more
likely
than
women.
were
analyzed
t-tests,
Chi-square
tests,
logistic
regression
intention.
Язык: Английский
Implementasi Algoritma Naive Bayes Terhadap Klasifikasi Jenis Pertanyaan Pada Perancangan Chatbot Untuk Aplikasi Penjualan Songket
JURNAL MEDIA INFORMATIKA BUDIDARMA,
Год журнала:
2024,
Номер
8(3), С. 1734 - 1734
Опубликована: Июль 27, 2024
Rapid
developments
in
science
and
technology
have
had
a
significant
impact
on
all
aspects
of
people's
lives,
especially
business.
E-commerce
has
become
popular
choice
among
internet
users
Indonesia,
including
MSMEs.
However,
conventional
sales
songket
products
still
limit
product
reach
competitiveness.
In
addition,
the
process
generally
provides
customer
service
charge
interacting
serving
inquiries
that
can
be
contacted
via
telephone
number.
it
is
considered
less
effective
because
seller
difficulty
when
responding
to
various
questions
from
customers,
so
customers
wait
get
answers
regarding
information
needed.
Therefore,
purpose
this
research
design
chatbot
for
applications
using
naive
bayes
algorithm
classifying
types
questions,
improve
efficiency
effectiveness
interactions
between
sellers
expand
market
products.
This
designed
simulate
interactive
conversations
provide
quickly
efficiently.
The
was
chosen
due
its
ease
implementation
high
accuracy
text
classification.
study,
tested
with
user
5%
total
50
as
testing
data.
test
results
show
classify
type
question
an
90%
precision
value
94%,
recall
92%,
F1-Score
92%.
application
system
whole
shows
are
able
appropriate
efficient
responses
questions.
With
system,
hoped
technology-based
solution
realized
interaction
sellers,
increase
business
potential
traditional
craftsmen.
Язык: Английский
Enhancing Android Ransomware Detection Using an Ensemble Machine Learning Classifier
Programming and Computer Software,
Год журнала:
2024,
Номер
50(8), С. 562 - 576
Опубликована: Дек. 1, 2024
Язык: Английский
Optimal Website Design Strategy in E-Commerce
Sunarmie Sunarmie,
Pamungkur Pamungkur,
Ela Elliyana
и другие.
Journal of Production Operations Management and Economics,
Год журнала:
2024,
Номер
46, С. 64 - 76
Опубликована: Ноя. 8, 2024
The
rapid
growth
of
e-commerce
has
highlighted
the
importance
website
design
as
a
key
factor
influencing
user
experience
and
customer
loyalty.
Despite
its
critical
role,
many
platforms
still
struggle
with
poorly
designed
layouts,
unintuitive
navigation,
inadequate
responsiveness,
resulting
in
high
bounce
rates
abandoned
shopping
carts.
This
study
aims
to
explore
specific
elements
design-such
layout,
aesthetics,
personalization-that
impact
satisfaction
Employing
qualitative
approach,
research
combines
expert
interviews,
case
studies
leading
platforms,
secondary
data
analysis
provide
comprehensive
understanding
effective
strategies.
findings
reveal
that
intuitive
visually
appealing
mobile
personalized
experiences
significantly
enhance
engagement
conversion
rates.
Unlike
previous
studies,
this
highlights
interplay
between
emerging
technologies,
such
artificial
intelligence
analytics,
shaping
journeys.
novelty
emphasizes
strategic
role
building
trust
long-term
relationships.
recommends
businesses
invest
responsive
design,
user-centered
testing,
innovative
personalization
technologies
optimize
maintain
competitive
edge
dynamic
digital
marketplace.
These
insights
practical
guide
for
enhancing
success
rapidly
evolving
industry.
Язык: Английский