International Journal of Information and Learning Technology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 12, 2024
Purpose
Educators
are
raising
ethical
concerns
over
the
use
of
ChatGPT
in
schools.
They
have
implemented
various
strategies
to
minimize
its
use,
particularly
by
labeling
ChatGPT-produced
work
as
plagiarism.
However,
among
students
is
still
on
rise.
Our
study
aims
find
behavioral
motivation
behind
students’
increased
ChatGPT.
Design/methodology/approach
We
PLS-SEM
analyze
survey
responses
from
250
participants
a
liberal
arts
university
USA.
Findings
Students’
self-congruency
influences
their
attitude
and
intention
toward
Students
because
they
higher
similarity
between
personality
persona
depicted
So,
educators
must
consider
creative
assignments
that
cannot
be
solved
using
any
other
deterrence
will
not
Originality/value
To
best
our
knowledge,
this
first
research
incorporate
integrate
antecedents
education
sector.
International Journal of Consumer Studies,
Journal Year:
2024,
Volume and Issue:
49(1)
Published: Dec. 13, 2024
ABSTRACT
ChatGPT
transforms
the
shopping
experience
by
providing
responses
in
human‐like
language
about
products,
services,
and
brands
to
customers.
This
study
investigated
influential
drivers
of
intention
use
obtain
information.
We
extended
“extended
unified
theory
acceptance
technology”
UTAUT2
incorporating
direct
moderating
effects
trust
technology
anxiety.
To
test
model
on
data
from
412
respondents,
a
hybrid
Partial
Least
Squares—Artificial
Neural
Network
(PLS‐ANN)
approach
was
employed.
combines
strengths
PLS
for
modeling
complex
variable
relationships
ANN
capturing
nonlinear
dependencies
interactions.
analysis
identified
performance
expectancy,
effort
facilitating
conditions,
hedonic
motivation,
as
significant
usage.
The
associations
between
its
predictors
are
negatively
moderated
revealed
that
has
highest
effect
choice
ChatGPT,
followed
expectancy.
By
extending
framework
applying
PLS‐ANN
method,
this
advances
theoretical
understanding
adoption
provides
practical
insights
marketers
developers
AI‐driven
text
generators.
It
emphasizes
importance
building
alleviating
anxiety
promote
wider
ChatGPT.
broader
significance
research
lies
contribution
shaping
future
retail
e‐commerce
strategies
encouraging
more
informed
user‐centric
development
AI
technologies
domain.
International Journal of Human-Computer Interaction,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 10
Published: Nov. 11, 2024
As
AI
technology
advances,
important
questions
arise
about
how
the
computational
power
behind
these
models
affects
human
perception
of
AI-generated
contents.
Furthermore,
significant
energy
consumption
resource-heavy
brings
growing
environmental
concerns
as
demand
for
resources
continues
to
rise.
This
research
examines
influence
in
art
on
aesthetic
and
emotional
response.
A
group
100
participants
evaluated
several
artworks
either
produced
by
humans
or
created
an
operating
at
three
distinct
levels
quality,
corresponding
varying
demands.
The
results
showed
that
preferred
with
greater
effort,
indicating
higher
likability
more
positive
reactions.
However,
improvements
emotion
were
modest
exhibited
diminishing
returns
increased.
study
addresses
ethical
concerns,
including
impact
large
generative
requires
its
implications
sustainable
development.
Humanities and Social Sciences Communications,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Oct. 13, 2024
This
study
investigated
the
impact
of
generative
AI
tools
on
human
resource
management
practices,
organizational
commitment,
employee
engagement,
and
performance.
The
authors
also
mediating
role
trust
in
relationship
between
user
perception
commitment.
A
structured
questionnaire
was
used
to
collect
data
from
information
technology
industry
employees
measure
9
reflective
constructs
optimism,
innovativeness,
ease
use,
usefulness,
trust,
vigor,
dedication,
Two
constructs,
use
are
modeled
as
a
higher-order
construct
–
User
Perception,
whereas
vigor
Dedication
another
construct,
Employee
Engagement.
mode-fit
indices
were
assessed
for
both
higher-
lower-order
model-fit
models,
reveal
an
excellent
model
fit.
Positive
statistically
significant
impacts
observed
constructs.
commitment
engagement
positive
significant,
turn,
performance
significant.
Trust
partially
mediated
fostering
enhanced
theories
readiness,
stimulus-organization-response,
acceptance
utilized
development
study's
theoretical
framework,
which
provided
fresh
perspectives
how
influenced
by
experience
context
AI.
Theoretically,
it
opens
up
new
applications
such
personalized
education
services,
digital
art,
realistic
virtual
assistants
that
previously
unfeasible
or
impractical
automation.
practical
implications
field
interdisciplinary
research
well
will
be
greatly
impacted
To
facilitate
swift
adoption,
principles
conceptualized
model-,
system-,
application-level
addition
social-technical
perspective,
where
they
explicated
defined.
In
end,
our
has
given
future
scholars
agenda
enable
them
different
while
incorporating
concepts
these
theories.
International Journal of Information and Learning Technology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 12, 2024
Purpose
Educators
are
raising
ethical
concerns
over
the
use
of
ChatGPT
in
schools.
They
have
implemented
various
strategies
to
minimize
its
use,
particularly
by
labeling
ChatGPT-produced
work
as
plagiarism.
However,
among
students
is
still
on
rise.
Our
study
aims
find
behavioral
motivation
behind
students’
increased
ChatGPT.
Design/methodology/approach
We
PLS-SEM
analyze
survey
responses
from
250
participants
a
liberal
arts
university
USA.
Findings
Students’
self-congruency
influences
their
attitude
and
intention
toward
Students
because
they
higher
similarity
between
personality
persona
depicted
So,
educators
must
consider
creative
assignments
that
cannot
be
solved
using
any
other
deterrence
will
not
Originality/value
To
best
our
knowledge,
this
first
research
incorporate
integrate
antecedents
education
sector.
