International Journal of Consumer Studies,
Год журнала:
2025,
Номер
49(3)
Опубликована: Апрель 24, 2025
ABSTRACT
Artificial
intelligence
service
agent
(AISA)
anthropomorphism
is
increasingly
applied
in
situations
to
deliver
consumers
a
more
personalized
experience.
Extensive
research
has
explored
it
over
the
past
decade.
However,
body
of
knowledge
about
this
domain
remains
fragmented
due
lack
comprehensive
review.
This
paper
aims
understand
through
framework‐based
systematic
literature
review
approach.
We
conducted
an
in‐depth
analysis
149
peer‐reviewed
articles
retrieved
on
April
25,
2024.
Significant
results
include
(a)
analyzing
profiling
(i.e.,
publication,
journal,
citation,
and
country
analysis),
(b)
synthesizing
findings
based
theories‐contexts‐characteristics‐methods
(TCCM)
framework,
(c)
proposing
future
agendas
TCCM
framework.
The
present
concludes
that
experiencing
rapid
growth,
evidenced
by
increasing
number
citations,
wide
range
publications
reputable
journals,
notable
surge
international
collaboration.
Furthermore,
AISA
affects
outcomes
related
AISA,
product,
brand,
even
company
via
cognitive,
affective,
social
mediators.
Service‐,
AISA‐,
consumer‐related
factors
moderate
these
effects.
Based
gap
analysis,
we
propose
directions.
Our
advances
affecting
consumer
responses.
It
offers
valuable
insights
for
practitioners
effectively
deploying
anthropomorphic
AISAs
serve
appropriate
contexts.
Computers and Education Artificial Intelligence,
Год журнала:
2024,
Номер
6, С. 100225 - 100225
Опубликована: Апрель 18, 2024
Artificial
intelligence
technologies
are
rapidly
advancing.
As
part
of
this
development,
large
language
models
(LLMs)
increasingly
being
used
when
humans
interact
with
systems
based
on
artificial
(AI),
posing
both
new
opportunities
and
challenges.
When
interacting
LLM-based
AI
system
in
a
goal-directed
manner,
prompt
engineering
has
evolved
as
skill
formulating
precise
well-structured
instructions
to
elicit
desired
responses
or
information
from
the
LLM,
optimizing
effectiveness
interaction.
However,
research
perspectives
non-experts
using
through
how
literacy
affects
prompting
behavior
is
lacking.
This
aspect
particularly
important
considering
implications
LLMs
context
higher
education.
In
present
study,
we
address
issue,
introduce
skill-based
approach
engineering,
explicitly
consider
role
non-experts'
(students)
their
skills.
We
also
provide
qualitative
insights
into
students'
intuitive
behaviors
towards
systems.
The
results
show
that
higher-quality
skills
predict
quality
LLM
output,
suggesting
indeed
required
for
use
generative
tools.
addition,
certain
aspects
can
play
targeted
adaptation
within
We,
therefore,
argue
integration
educational
content
current
curricula
enable
hybrid
intelligent
society
which
students
effectively
tools
such
ChatGPT.
Future Business Journal,
Год журнала:
2025,
Номер
11(1)
Опубликована: Янв. 15, 2025
Abstract
The
expansion
of
brands
adopting
artificial
intelligence
services
with
human
characteristics,
such
as
chatbots,
has
revolutionized
digital
marketing
strategies,
transforming
how
companies
reach
and
engage
customers.
This
technological
innovation
is
reshaping
interactions
between
consumers,
offering
a
more
personalized
efficient
experience.
study
explores
the
influence
chatbot
anthropomorphism
on
customer
engagement
purchasing
decision-making
that
use
this
service.
Data
from
questionnaire
1319
participants
was
analyzed
using
partial
least
squares
method.
Chatbot
positive
when
relationship
mediated
by
engagement.
In
turn,
involvement
also
decision-making.
results
emphasize
for
greater
chatbot's
decision-making,
must
first
be
engaged
chatbot.
research
illuminates
new
path
in
domain
AI-enabled
brand
interactions,
showing
distinct
chatbots
satisfaction,
trust
loyalty,
thus
revolutionizing
traditional
paradigms
consumer-brand
processes.
By
exploring
intricate
dynamics
anthropomorphized
decisions,
breaks
ground,
unprecedented
insight
into
transformative
potential
human-like
shaping
consumer
behavior
relationships.
Smart Learning Environments,
Год журнала:
2025,
Номер
12(1)
Опубликована: Фев. 6, 2025
Abstract
Researchers
have
significantly
explored
language
learners'
attitudes
toward
ChatGPT
through
the
lens
of
technology
acceptance
models,
particularly
with
its
development
and
integration
into
computer-assisted
learning
(CALL).
However,
further
research
in
this
area
is
necessary
to
apply
a
theoretical
framework
pedagogical-oriented
perspective.
Therefore,
study,
researchers
utilized
students'
approaches
environment
(SAL)
extended
it
by
incorporating
multilevel
perspective
that
encompasses
contextual,
individual,
ChatGPT-related
factors.
Accordingly,
integrated
their
syllabus
guided
learners
three
universities
Ardabil
City
use
during
academic
year
2023–2024.
In
end,
214
participants
answered
study
questionnaire.
The
result
partial
least
squares
modeling
(PLS-SEM),
Importance
performance
map
analysis
(IPMA)
showed
leadership,
where
university
executive
provides
atmosphere
for
norms
integration,
could
shape
learners’
organizing
approach
using
daily
schedule.
Additionally,
personalization
anthropomorphism
were
among
significant
factors
shaped
deep
as
source
meaningful,
cross-referenced
CALL
tool.
low
feedback
reliability,
privacy
concerns,
ChatGPT's
perceived
value
contributed
surface
minimizing
ChaGPT-related
factor.
On
basis
these
findings,
introduces
new
conceptual
artificial
intelligence
(AILL)
suggests
leadership
should
be
promoted
at
macro-contextual
level
might
cover
other
micro-contextual,
personal,
factors,
including
price-value,
personalization,
motivation,
which
are
important
elements
CHAGPTALL.
