Abant Sosyal Bilimler Dergisi,
Journal Year:
2025,
Volume and Issue:
25(1), P. 365 - 389
Published: March 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
Purpose
This
research
explores
the
impact
of
approach
and
avoidance
drivers
on
users’
discontinuance
usage
intention
(DUI)
in
social
commerce
(s-commerce).
It
also
examines
mediating
role
perceived
enjoyment
moderating
autotelic
personality
traits.
Design/methodology/approach
Using
a
purposive
sample
465
s-commerce
users
Malaysia,
data
analysis
was
conducted
using
partial
least
squares
structural
equation
modeling
(PLS-SEM).
Findings
study
demonstrates
that
informational
support
is
key
driver,
enhancing
reducing
deception
DUI.
Although
does
not
directly
affect
enjoyment,
it
significantly
predicts
Additionally,
DUI
mediated
by
moderated
personality.
Practical
implications
S-commerce
stakeholders,
including
platform
developers,
sellers
policymakers,
can
leverage
these
findings
to
foster
sustainable
environment.
Implementing
proposed
strategies
enhance
reduce
among
current
users.
Originality/value
advances
marketing
IS
studies
extending
approach-avoidance
motivations
model
(AAMM)
into
incorporating
as
factor
provides
new
insights
user
this
evolving
field.
World Electric Vehicle Journal,
Journal Year:
2025,
Volume and Issue:
16(3), P. 154 - 154
Published: March 6, 2025
Although
Chinese
consumers
show
an
increasing
acceptance
of
intelligent
driving,
their
purchase
intentions
have
declined.
Advanced
driving
technologies
play
a
crucial
role
in
helping
users
transition
from
traditional
to
fully
autonomous
driving.
However,
low
intention
may
delay
the
market
adoption
advanced
technologies,
further
influencing
research
and
innovation
technology.
This
study,
perspective
consumer
perception,
collected
survey
data
constructed
structural
equation
model
explore
mechanisms
by
which
key
variables—such
as
perceived
usefulness,
enjoyment,
fee,
risk,
brand
credibility—affect
consumers’
intentions.
The
results
indicate
that
usefulness
enjoyment
significantly
enhance
value.
In
contrast,
fee
negatively
impacts
Unlike
previous
studies,
risk
does
not
significant
impact
on
value
current
stage
Perceived
has
positive
intention,
confirming
its
central
behavior
models.
Moreover,
credibility
affects
but
notable
influence
Abant Sosyal Bilimler Dergisi,
Journal Year:
2025,
Volume and Issue:
25(1), P. 365 - 389
Published: March 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
