Information Development,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Sept. 27, 2023
The
increasing
ubiquity
of
Artificial
Intelligence
(AI)
chatbots
across
a
variety
sectors
has
sparked
burgeoning
interest
in
deciphering
the
determinants
that
govern
their
adoption
and
usage.
This
study
aims
to
examine
pivotal
factors
influence
practical
usage
AI
chatbot,
ChatGPT,
among
sample
university
students.
Leveraging
theoretical
framework
planned
behavior,
research
model
scrutinizes
interplay
between
knowledge
application,
perceived
intelligence,
usability,
attitude,
subjective
norms,
behavioral
control,
trust,
intention,
actual
Data
procured
from
survey
students
were
examined
through
lens
structural
equation
modeling.
outcomes
reveal
usability
have
positive
impact
on
attitudes
towards
ChatGPT.
Perceived
intelligence
also
influences
trust.
Concurrently,
attitude
norms
notably
affect
intention.
Contrary
expectations,
control
did
not
significantly
Trust
emerged
as
crucial
factor
steering
which
turn,
positively
correlates
with
These
insights
enrich
academic
discourse
chatbot
provide
implications
for
developers,
educators,
policy
makers,
striving
enhance
user
engagement
systems
educational
contexts.
Interactive Technology and Smart Education,
Journal Year:
2023,
Volume and Issue:
21(3), P. 333 - 355
Published: Aug. 25, 2023
Purpose
The
purpose
of
this
paper
is
to
identify
the
factors
determining
students’
attitude
toward
using
newly
emerged
artificial
intelligence
(AI)
tool,
Chat
Generative
Pre-Trained
Transformer
(ChatGPT),
for
educational
and
learning
based
on
technology
acceptance
model.
Design/methodology/approach
recommended
model
was
empirically
tested
with
partial
least
squares
structural
equation
modeling
375
student
survey
responses.
Findings
study
revealed
that
students
have
a
favorable
view
instructional
use
ChatGPT.
Usefulness,
social
presence
legitimacy
as
well
enjoyment
motivation,
contribute
tool
in
environment.
However,
perceived
ease
not
found
be
significant
determinant
adoption
utilization
ChatGPT
by
students.
Practical
implications
This
research
intended
benefit
enterprises,
academic
institutions
global
community
offering
light
how
perceive
service
an
setting.
Furthermore,
application
enhances
confidence
interest
among
learners,
leading
improved
literacy
general
awareness.
Eventually,
outcome
will
help
AI
developers
improve
their
product
delivery,
regulators
regulating
usage
AI-based
bots.
Originality/value
Due
its
novelty,
current
education
sector
rather
restricted.
provides
aspects
ChatGPT,
new
students,
thereby
contributing
significantly
existing
advanced
technologies.
In
addition,
literature
lacks
purposes;
addresses
gap
identifying
determinants
education.
International Journal of Bank Marketing,
Journal Year:
2022,
Volume and Issue:
40(4), P. 631 - 658
Published: Jan. 22, 2022
Purpose
The
development
of
mobile
technology
has
changed
the
traditional
financial
industry
and
banking
sector.
While
banks
have
adopted
artificial
intelligence
(AI)
techniques
to
deepen
applications
(apps),
current
literature
lacks
research
on
use
AI-based
constructs
explore
users'
app
adoption
intentions.
To
fill
this
gap,
based
stimulus-organism-response
(SOR)
theory,
two
AI
feature
as
stimuli
are
considered,
namely,
perceived
anthropomorphism.
This
study
then
develops
a
model
investigate
how
anthropomorphism
affect
task-technology
fit
(TTF),
cost,
risk
trust
(organism),
which
in
turn
influence
(response).
Design/methodology/approach
used
convenience
nonprobability
sampling
approach;
total
451
responses
were
collected
examine
model.
partial
least
squares
technique
was
utilized
for
data
analysis.
Findings
results
show
that
increase
willingness
adopt
apps
through
TTF
trust.
However,
higher
levels
enhance
cost.
In
addition,
both
insignificant
effects
risk.
provide
theoretical
contributions
offer
practical
guidance
bank
planning
retain
users.
Originality/value
Based
SOR
reveals
features,
AI-enabled
help
us
further
understand
perceptions
regarding
risk,
context
International Journal of Information Management Data Insights,
Journal Year:
2022,
Volume and Issue:
2(2), P. 100092 - 100092
Published: June 23, 2022
This
study
extensively
evaluates
the
existing
UTAUT
scientific
theory
as
well
contextual
variables
that
should
be
carefully
considered
when
incorporating
a
Learning
Management
System
into
Saudi
Arabia's
leading
universities.
Therefore,
original
dataset
for
said
research
was
collected
through
list
of
questionnaires
made
available
to
277
University
Hail
students,
and
therefore,
proposed
conceptual
model
thoroughly
evaluated
by
using
SEM.
research's
findings
showed
students'
behavioural
intentions
use
LMS
platforms
have
always
been
strongly
affected
their
anticipated
effort,
social
influence.
Similarly,
it
also
found
facilitating
conditions
appear
strong
significant
influence
on
university
usage
behaviour.
Hence,
this
would
almost
undoubtedly
help
policymakers
in
deciding
whether
or
not
fully
implement
educational
institutions
across
Arabia.
International Journal of Information Management,
Journal Year:
2022,
Volume and Issue:
68, P. 102571 - 102571
Published: Aug. 26, 2022
This
study
extends
the
post-acceptance
model
of
information
systems
(IS)
continuance,
which
is
widely
used
to
explain
users'
satisfaction
and
IS
continuance
intentions.
The
extended
includes
additional
variables
such
as
perceived
ease
use
(PEOU),
attitude,
trust,
enjoyment.
proposed
was
tested
using
meta-analytic
structural
equation
modeling
(MASEM).
analysis
included
1,056
observations
on
fifteen
relationships
from
214
independent
studies
with
a
combined
sample
84,343.
results
confirm
significance
all
in
original
model.
Furthermore,
findings
indicate
that
PEOU
directly
influences
usefulness,
satisfaction,
attitude.
Trust
enjoyment
both
have
positive
impact
wherein
effect
higher
than
trust.
post-consumption
resulted
favorable
attitude
toward
technology,
further
affected
continuance.
From
theoretical
perspective,
current
acknowledges
shift
technology
emphasizes
hedonic
value
usage
users
report
degree
responsive,
easy
use,
enjoyable
technologies.
Marketers
should
focus
gratifications
derived
increase
potential
usage.
Journal of the Academy of Marketing Science,
Journal Year:
2022,
Volume and Issue:
50(6), P. 1153 - 1175
Published: March 22, 2022
Abstract
Artificial
intelligence
assistants
(AIAs)
such
as
Alexa
are
prevalent
in
consumers’
homes.
Owing
to
their
powerful
artificial
intelligence,
consumers
may
perceive
that
AIAs
have
a
mind
of
own,
is,
they
anthropomorphize
them.
Past
marketing
research
points
beneficial
effects
AIA
anthropomorphism
for
and
companies,
while
potential
harmful
not
been
empirically
explored.
In
examining
both
effects,
this
paper
adopts
relationship
perspective.
Indeed,
spend
large
amounts
time
with
AIAs,
potentially
developing
over
builds
on
an
exchange
benefits
(psychological)
costs.
A
preliminary
survey
user
interviews,
field
study
experiment
users
show
threaten
users’
identity,
which
disempowers
them,
creates
data
privacy
concerns
ultimately
undermines
well-being.
These
particularly
emerge
close,
long
relationships.
The
uncovers
three
empowering
interventions
attenuate
relationships
consumers.
With
AI-powered
technologies
taking
larger
roles
our
daily
lives,
highlights
key
future
directions
investigate
the
permanent
ongoing
nature
consumer–AI
International Journal of Information Management Data Insights,
Journal Year:
2022,
Volume and Issue:
2(2), P. 100088 - 100088
Published: June 13, 2022
The
objective
of
this
research
was
to
determine
the
students'
intention
for
using
learning
management
systems
whilst
also
attempting
put
Technology
Acceptance
Model
test.
228
students
from
university
Hail
participated
in
study.
SEM
used
testing
postulated
model.
results
demonstrated
five
hypotheses,
whereby
PEOU
having
a
major
impact
on
PU,
PU
and
clearly
substantial
influence
learners'
attitudes
towards
use
LMS,
have
an
behavioural
LMS.
This
confirms
feasibility
TAM
Saudi
Arabia.
study's
findings
may
be
useful
Arabian
policymakers
administrators,
allowing
them
better
manage
resources,
develop
strategies,
meet
all
requirements
throughout
enhancing
behavioral
intent
Hence,
will
understanding
