The retail collaborative recommendations for personalized product recommendations
International Journal of Retail & Distribution Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 16, 2025
Purpose
The
delivery
service
business
model
is
the
final
link
in
logistics
for
both
online-and-offline
(O2O)
businesses.
O2O
models
combine
e-commerce
and
physical
commerce,
using
online
marketing
techniques
to
drive
consumption
channels.
Regarding
collaborative
recommendation,
a
recommendation
mechanism
involves
two
or
more
parties,
such
as
logistics,
retail
firms
operators,
working
together
obtain
necessary
consumer
information
knowledge,
profiles
preferences,
basis
personalized
product
recommendations.
Thus,
purchasing
integration
recommendations
development
are
valuable
research
issues
on
distribution
management.
Design/methodology/approach
This
study
implements
two-stage
data
mining
analytics
clustering
association
rules
analysis,
investigate
Taiwan
consumers'
(
n
=
2,169)
preferences
service.
process
clarifies
behaviours
find
knowledge
profiles/patterns/rules
Findings
first
found
several
our
subjects.
Discussion
implications
operators
also
presented.
findings
show
that
resource
Originality/value
originality
value,
seeks
understand
lives
context.
From
perspective,
can
join
discover
platform
through
interactive
purchasing.
These
then
summarize
make
accurately,
thus
increasing
Язык: Английский
Beyond human drivers: understanding female tourists’ acceptance of autonomous vehicles in tourism
Journal of Travel & Tourism Marketing,
Год журнала:
2025,
Номер
42(3), С. 307 - 320
Опубликована: Март 3, 2025
Язык: Английский
A Literature Review on the Emerging Trends of AI Applications in E-Retailing: Insights from the Journal of Retailing and Consumer Services
Abant Sosyal Bilimler Dergisi,
Год журнала:
2025,
Номер
25(1), С. 365 - 389
Опубликована: Март 24, 2025
The
use
of
artificial
intelligence
(AI)
in
the
retail
sector
is
steadily
increasing.
This
study
aims
to
reveal
usage
AI
retailing
over
years.
For
thisKoh
purpose,
137
studies
published
Journal
Retailing
and
Consumer
Services
were
analyzed
according
SPAR-4-SLR
protocol.
reviewed
across
four
domains:
publication
year,
consumer
approach,
technology
applied,
theoretical
framework.
Findings
indicate
that
most
2024,
primarily
focusing
on
purchasing
behavior,
extensive
chatbots,
frequent
application
Technology
Acceptance
Model
(TAM)
grounding.
research
distinguishes
itself
by
examining
retailer-consumer
behavior
relationship,
mainly
contributing
current
knowledge
this
area.
Keywords:
AI,
ıntelligence,
retailing,
behaviour
Язык: Английский
Adverse impacts of metaverse-induced cognitive biases on the immersive shopping experience: A conceptual model developed from a qualitative approach
Technology in Society,
Год журнала:
2025,
Номер
unknown, С. 102916 - 102916
Опубликована: Апрель 1, 2025
Язык: Английский
What drives online impulse buying among Zoomers on TikTok in an emerging market? A new model based on flow theory
Frontiers in Communication,
Год журнала:
2024,
Номер
9
Опубликована: Сен. 11, 2024
Our
article
aims
to
investigate
the
factors,
precisely
motives
for
TikTok
use,
perceived
ad
intrusiveness,
attitude
toward
advertising,
credibility,
value,
and
online
flow
experience,
driving
buying
impulsiveness
among
Generation
Z
users
on
TikTok.
We
developed
analyzed
a
theoretical
model
using
SmartPLS.
used
quantitative-based
approach
collect
data
by
surveying
convenience
sample
of
2406
questionnaires.
The
results
indicate
that
use
negatively
affect
intrusiveness
while
positively
affecting
experience
credibility.
Attitude
towards
advertising
impacts
influences
credibility
value.
Furthermore,
has
positive
impact
which,
in
turn,
impulse
buying.
As
such,
adapted
content
leads
creating
an
optimal
platform
perception
ads
regarding
Язык: Английский
Reputation vs. price: Sequential recommendations based on cue diagnosticity theory
Journal of Retailing and Consumer Services,
Год журнала:
2024,
Номер
83, С. 104157 - 104157
Опубликована: Ноя. 24, 2024
Язык: Английский
From Clicks to Trust: Electronic Word of Mouth and Perceived Website Quality Versus E-Shopping Attitudes
International Journal of Contemporary Management,
Год журнала:
2024,
Номер
60(1), С. 252 - 266
Опубликована: Март 1, 2024
Abstract
Purpose
This
study
explores
the
influence
of
electronic
word
mouth
(eWOM)
and
perceived
website
quality
on
consumer
attitudes
toward
online
shopping,
highlighting
mediating
role
trust.
The
research
assesses
how
these
digital
factors
collectively
shape
behavior
trust
in
global
e-commerce
platforms
.
Design/methodology/approach
A
quantitative
approach
is
employed
through
a
structured,
self-administered
survey
targeting
308
shoppers
from
diverse
international
backgrounds.
Structural
Equation
Modeling
(SEM)
used
to
test
proposed
model
validate
relationships
between
key
variables
Findings
results
reveal
that
both
eWOM
significantly
affect
shopping.
serves
as
crucial
mediator
this
relationship,
with
directly
influencing
trust,
which
turn
shapes
shopping
Practical
implications
These
findings
highlight
importance
building
strategies,
particularly
enhancing
fostering
positive
improve
engagement
loyalty
Social
expands
understanding
affects
societal
for
businesses
consumers
economy
Originality/value
provides
comprehensive
perspective
interplay
eWOM,
quality,
attitudes.
It
offers
valuable
insights
retailers
marketers
seeking
build
experiences
competitive
marketplace
Язык: Английский