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
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(3), P. 1276 - 1276
Published: Feb. 2, 2024
With
the
rapid
development
of
artificial
intelligence
(AI)
technology,
AI
educators
have
become
a
reality.
The
advancement
and
increasing
applications
technology
in
higher
education
not
only
provide
more
efficient
tools
for
teachers
long-term
focused
teaching,
but
also
new
active
independent
spaces
sustainable
self-motivated
learning
college
students.
It
is
great
importance
that
effects
educator
design
are
understood
to
ensure
deployment
AI-driven
courses
at
universities.
This
paper
investigates
influences
educators’
autonomy
on
students’
usage
intentions
by
delving
into
how
satisfies
needs.
Drawing
uses
gratification
(U&G)
framework,
we
theoretically
elaborate
(i.e.,
sensing
autonomy,
thought
action
autonomy)
use
an
through
mediating
U&G
benefits
information-seeking
gratification,
social
interaction
entertainment
gratification).
By
conducting
online
survey
(N
=
673)
students,
found
positively
associated
with
intention
due
gratifications;
related
intention,
mediated
gratifications,
linked
paths
gratifications.
Our
findings
both
theoretical
contributions
practical
implications.
Journal of Computer Information Systems,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 20
Published: Oct. 22, 2024
The
advent
of
metaverse
technology
has
impacted
the
retail
sector,
shaping
e-commerce
platforms
into
a
new
form
metaverse-based
online
shopping
environments.
experience
is
to
shoppers,
making
it
crucial
comprehend
consumer
reactions
this
in
context
retail.
This
study
explores
intention
and
potential
use
for
using
UTAUT2
model
context-specific
antecedents.
Using
structured
questionnaire,
data
from
1340
consumers
were
collected
analyzed
through
PLS-SEM.
findings
indicated
that
factors
such
as
performance
expectancy,
effort
social
influence,
hedonic
motivation,
facilitating
conditions
influence
metaverse.
metaverse-related
antecedents,
namely,
sense
immersion
imagination,
have
positive
whereas
technological
anxiety
perceived
security
privacy
concerns
negative
impact
on
It
was
also
found
influences
stickiness
traditional
negatively
moderates
relationship.
unique
research
buying
behavior
provides
marketers,
managers,
designers,
developers
with
antecedents
insights.
Consumer
policymakers
can
draw
insights
study.
Journal of Retailing and Consumer Services,
Journal Year:
2023,
Volume and Issue:
77, P. 103659 - 103659
Published: Dec. 5, 2023
Users'
increasing
adoption
of
voice
assistant
services
is
fostering
the
growth
a
novel
strand
marketing
research
on
branding
implications
brand
anthropomorphism
(BA).
However,
outcomes
anthropomorphization
in
this
area
remain
underinvestigated.
Accordingly,
name-brand
(NBVA)
interaction
field,
study
tests
model
consequences
anthropomorphism,
outlining
relationships
among
trust,
and
multidimensional
consumer–brand
engagement
(CBE),
i.e.,
relevant
cognitive,
affective,
behavioral
dimensions,
as
well
moderating
role
perceived
privacy
risk.
A
survey
young
adults
shows
that
positively
affects
trust
affective
dimensions
CBE.
Furthermore,
risk
moderates
relationship
between
trust.
Specifically,
influence
strengthened
at
higher
levels
This
article
thus
enriches
understanding
user
VA
response
by
exploring
underresearched
BA
context
NBVA
interaction.
Service Industries Journal,
Journal Year:
2023,
Volume and Issue:
44(3-4), P. 173 - 217
Published: Dec. 6, 2023
The
purpose
of
the
current
article
is
to
propose
construction
ChatGPT
as
a
green
evangelist
(CGGE)
and
develop
validate
CGGE
scale
using
two
independent
studies.
Study
1
mainly
adopted
exploratory
factor
analysis
test
whether
twenty
items
construct
eight
consumer
equilibrium
can
represent
these
constructs
statistically
via
analysis.
Furthermore,
through
2,
this
study
primarily
tested
convergent
discriminant
validity
equilibrium.
Finally,
further
explains
relationship
between
purchase
intentions
at
different
levels
brand
credibility,
including
high
low
levels,
structural
equational
modeling.
showed
that
initial
are
appropriately
loaded
on
four
factors
single
factors.
2
demonstrated
could
significantly
predict
credibility
levels.
This
contributes
advancement
unified
theory
acceptance
use
technology
(UTAUT)
research
provides
valuable
tool
for
future
empirical
ChatGPT.
