Array,
Год журнала:
2024,
Номер
21, С. 100339 - 100339
Опубликована: Март 1, 2024
Given
the
limited
extent
of
study
conducted
on
application
ChatGPT
in
realm
education,
this
domain
still
needs
to
be
explored.
Consequently,
primary
objective
is
evaluate
impact
factors
within
extended
value-based
adoption
model
(VAM)
and
delineate
individual
contributions
these
toward
shaping
attitudes
university
students
regarding
utilization
for
instructional
purposes.
This
investigation
incorporates
dimensions
such
as
social
influence,
self-efficacy,
personal
innovativeness
augment
VAM.
augmentation
aims
identify
components
where
a
hybrid
approach,
integrating
partial
least
squares
(PLS),
artificial
neural
networks
(ANN),
deep
(DNN),
classification
algorithms,
employed
accurately
discern
both
linear
nonlinear
correlations.
The
data
were
obtained
through
an
online
survey
administered
students,
purposive
sample
technique
was
select
369
valid
responses.
Following
initial
preparation,
assessment
process
comprised
three
successive
stages:
PLS,
ANN,
DNN
algorithms
analysis.
Intention
influenced
by
attitude,
which
predicted
perceived
usefulness,
enjoyment,
innovativeness.
Moreover,
has
maximum
contribution
attitude
followed
technicality,
cost.
These
findings
will
support
creation
prioritization
student-centered
educational
services.
Additionally,
can
contribute
creating
efficient
learning
management
system
enhance
students'
academic
performance
professional
efficiency.
Journal of Retailing and Consumer Services,
Год журнала:
2023,
Номер
75, С. 103459 - 103459
Опубликована: Июнь 25, 2023
Building
upon
the
Stereotype
Content
Model
(SCM),
current
research
provides
insights
into
how
virtual
influencers
(VIs)
influence
consumer
responses.
More
specifically,
it
investigates
associations
between
VI's
anthropomorphism
and
stereotypical
judgments
of
warmth
competence
as
well
differential
mediating
roles
these
stereotypes
in
influencing
consumers'
willingness
to
follow
recommendations
purchase
intentions.
The
results
support
idea
that
anthropomorphizing
VIs
has
a
direct
bearing
on
stereotyping
along
dimensions
SCM.
Consistent
with
"Primacy-of-Warmth
Effect"
hypothesis,
study's
findings
show
perceived
warmth,
compared
competence,
is
positively
more
associated
recommendations.
Furthermore,
reveal
mediates
association
However,
lend
partial
role
competence.
recommendations,
turn,
intention.
paper
wraps
up
some
implications
for
practice.
Information,
Год журнала:
2023,
Номер
14(12), С. 664 - 664
Опубликована: Дек. 17, 2023
Artificial
intelligence
(AI)
has
rapidly
emerged
as
a
transformative
force
in
multiple
sectors,
with
digital
marketing
being
prominent
beneficiary.
As
AI
technologies
continue
to
advance,
their
potential
reshape
the
landscape
becomes
ever
more
apparent,
leading
profound
implications
for
businesses
and
outreach
strategies.
This
research
seeks
answer
pivotal
question:
“How
could
applications
be
leveraged
optimize
strategies”?
Drawing
from
systematic
literature
review
guided
by
PRISMA
(Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses)
framework,
this
study
identified
211
pertinent
articles.
Through
comprehensive
bibliometric
analysis,
findings
were
categorized
into
distinct
clusters,
namely:
AI/ML
(Machine
Learning)
Algorithms,
Social
Media,
Consumer
Behavior,
E-Commerce,
Digital
Advertising,
Budget
Optimization,
Competitive
Strategies.
Each
cluster
offers
insights
how
can
harnessed
augment
efforts.
The
conclusion
synthesizes
key
suggests
avenues
future
exploration
dynamic
intersection
of
marketing.
contributes
field
providing
analysis
marketing,
identifying
trends,
challenges,
directions.
Our
approach
valuable
researchers
alike,
enhancing
understanding
AI’s
evolving
role
International Journal of Information Management,
Год журнала:
2023,
Номер
76, С. 102679 - 102679
Опубликована: Июль 11, 2023
Leveraging
the
computers
are
social
actors
theory,
in
this
study,
we
explore
traits
of
artificial
intelligence-based
chatbots
that
make
them
perceived
as
trustworthy,
drive
consumers
to
forgive
firm
for
service
failure,
and
reduce
their
propensity
spread
negative
word-of-mouth
against
firm.
Across
two
scenario-based
studies
with
UK
consumers:
one
a
utilitarian
product
category
(n
=
586)
another
hedonic
508),
qualitative
our
findings
suggest
safety
enhances
consumers'
ability
empathy,
anthropomorphism
benevolence
integrity
chatbots,
i.e.,
three
affect
components
trustworthiness
differently.
Further,
these
have
positive
influence
on
customer
forgiveness
word-of-mouth.
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 13
Опубликована: Фев. 13, 2024
With
the
rapid
evolution
of
artificial
intelligence
(AI),
this
study
aims
to
examine
interplay
among
perceived
usability,
enjoyment,
responsiveness,
and
intention
continue
using
ChatGPT.
Structural
equation
modeling
(SEM)
was
used
investigate
our
proposed
model.
We
recruited
446
ChatGPT
users
through
an
online
survey
conducted
on
Connect
platform,
powered
by
CloudResearch.
Perceived
usability
(β
=
0.254)
enjoyment
0.438)
significantly
influence
satisfaction
with
However,
responsiveness
is
not
related
attachment
or
satisfaction.
Furthermore,
we
established
that
0.405)
0.447)
are
pivotal
in
shaping
users'
intentions
ChatGPT,
providing
insights
into
human–AI
interactions.
The
practical
implications
findings
suggest
generative
AI
chatbots
should
be
crafted
a
focus
enjoyable,
user-centered
interfaces
foster
long-term
user
engagement.
developers
design
conversation
flows
chatbot
personas
optimize
experience.
