Purpose
The
rapid
development
of
generative
artificial
intelligence
has
witnessed
its
widespread
integration
across
various
industries,
contributing
to
enhanced
productivity.
However,
a
comprehensive
exploration
the
underlying
factors
influencing
behavior
graphic
designers
in
employing
such
tools
remains
incomplete.
This
research
aims
amalgamate
IDT
theory
with
UTAUT2
model
construct
structural
model,
delving
into
affecting
designers’
using
GenAI
tools.
Design/methodology/approach
A
survey
was
conducted
394
respondents,
and
results
were
analyzed
PLS-SEM.
Findings
findings
reveal
that
most
proposed
both
theories
exert
positive
influences.
Notably,
study
highlights
AI
anxiety
significantly
influences
usage
behavior.
Originality/value
provides
theoretical
foundation
practical
guidance
for
developers.
Nursing and Health Sciences,
Год журнала:
2025,
Номер
27(1)
Опубликована: Янв. 11, 2025
ABSTRACT
The
widespread
adoption
of
artificial
intelligence
(AI)
tools
in
academic
settings
has
the
potential
to
revolutionize
learning
experiences,
enhance
educational
outcomes,
and
streamline
processes.
aim
this
research
was
explore
perceptions
Lebanese
health
sciences
students
regarding
use
generative
AI
higher
education.
A
qualitative
descriptive
design
informed
by
phenomenology
employed.
Semi‐structured
interviews
were
carried
out
among
23
at
one
major
private
university
Beirut.
Inductive
thematic
analysis
conducted
over
period
3
months.
inductive
generated
two
themes,
eight
subthemes
highlighting
benefits
concerns
using
AI;
customized,
self‐paced,
autonomous
learning,
improved
language
writing
skills,
development
innovative
concepts,
enhanced
efficiency,
accuracy
information,
overreliance
on
AI,
equitable
access,
unclear
policies.
Results
from
study
emphasized
importance
combined
efforts
across
sectors
close
access
gaps,
encourage
inclusiveness,
develop
well
framed
policies
that
enable
utilize
these
new
technologies
for
their
maximum
benefits.
Journal of Organizational and End User Computing,
Год журнала:
2025,
Номер
37(1), С. 1 - 27
Опубликована: Апрель 11, 2025
This
study
systematically
reviews
the
literature
on
impact
of
technological
innovations
in
e-commerce
consumer
behavior,
using
SPAR-4-SLR
methodology
and
TCCM
framework.
It
consolidates
research
across
various
technologies,
including
websites,
social
media,
live
streaming,
AR/VR,
AI.
The
analysis
reveals
a
growing
interest
this
field
post-2017,
with
focus
websites
but
highlights
gap
emerging
technologies.
Key
theoretical
frameworks
are
identified,
emphasizing
need
for
integration
to
comprehensively
understand
behavior.
review
maps
out
antecedents,
mediators,
moderators,
outcomes,
stressing
importance
longitudinal
studies
advanced
analytics.
approach
aims
bridge
gaps
suggest
future
directions,
enhancing
practical
understanding
innovations,
contributing
more
dynamic
consumer-centric
ecosystem.
