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.
Business Strategy and the Environment,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 11, 2025
ABSTRACT
In
the
era
of
rapid
technological
advancement,
generative
artificial
intelligence
(AI)
has
emerged
as
a
transformative
force
in
various
sectors,
including
environmental
sustainability.
This
research
investigates
factors
and
consequences
using
AI
to
access
information
influence
green
purchasing
behavior.
It
integrates
theories
such
adoption
model,
value–belief–norm
theory,
elaboration
likelihood
cognitive
dissonance
theory
pinpoint
prioritize
determinants
usage
for
Data
from
467
participants
were
analyzed
hybrid
methodology
that
blends
partial
least
squares
(PLS)
with
neural
networks
(ANN).
The
PLS
outcomes
indicate
interactivity,
responsiveness,
knowledge
acquisition
application,
concern,
ascription
responsibility
are
key
predictors
use
information.
Furthermore,
concerns,
values,
personal
norms,
responsibility,
individual
impact,
emerge
ANN
analysis
offers
unique
perspective
discloses
variations
hierarchy
these
predictors.
provides
valuable
insights
stakeholders
on
harnessing
promote
sustainable
consumer
behaviors
The Electronic Library,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 11, 2024
Purpose
ChatGPT
is
a
cutting-edge
chatbot
powered
by
artificial
intelligence
that
could
revolutionise
and
advance
the
teaching
learning
process.
Drawing
on
technology
acceptance
model
(TAM)
information
system
(IS)
success
model,
this
study
aims
to
investigate
determinants
of
students’
intention
use
for
education
purposes.
Design/methodology/approach
The
partial
least
squares
technique
was
used
analyse
406
usable
data
collected
from
university
students
in
Malaysia.
Findings
results
confirmed
relationships
between
perceived
usefulness
(PU),
ease
(PEU),
attitude
proposed
TAM.
PU
PEU
are
influenced
quality.
Surprisingly,
trust
moderates
negatively
influences
attitude.
Practical
implications
findings
provide
insight
higher
institutions,
unit
instructors
developers
what
may
promote
education.
Originality/value
contributes
literature
exploring
adoption,
extending
TAM
incorporating
IS
factors
assessing
moderating
effect
information.
Asia Pacific Journal of Marketing and Logistics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 24, 2025
Purpose
This
viewpoint
paper
aims
to
advance
the
discourse
on
self-congruity
theory
within
senior
tourism
research
by
proposing
future
agendas.
It
critically
examines
application
and
evolution
of
in
domain,
with
a
particular
focus
theoretical,
contextual
methodological
perspectives.
Design/methodology/approach
reviews
advancements
as
applied
tourism.
Drawing
existing
literature
our
own
insights,
this
is
designed
“call
for
research”
rather
than
an
empirical
investigation
or
confirmation.
Academic
peer-reviewed
journal
articles
from
related
disciplines
were
reviewed
trace
progress
research.
Findings
emphasises
significance
advancing
develop
agenda
inquiry.
The
article
acknowledges
usefulness
aligning
tourists’
self-concepts
destination
attributes
contextualising
these
relation
travel
behaviour.
Furthermore,
advocates
rigour
emphasising
applicability
approaches
such
fuzzy-set
qualitative
comparative
analysis
(fsQCA),
longitudinal
studies
mixed-methods,
which
are
well
suited
understanding
unique
interests
preferences
tourists.
Originality/value
offers
valuable
insights
into
avenues
provides
solid
foundation
academic
inquiry
how
shapes
decisions
experiences.
Aslib Journal of Information Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 5, 2025
Purpose
The
purpose
of
this
research
is
to
examine
generative
artificial
intelligence
(AI)
user
continuance
intention
based
on
the
stimulus-organism-response
model.
Design/methodology/approach
We
adopted
a
mixed
method
structural
equation
modeling
and
fuzzy-set
qualitative
comparative
analysis
conduct
data
analysis.
Findings
results
found
that
AI
content
quality
(perceived
personalization,
perceived
accuracy
credibility)
system
interactivity,
anthropomorphism
intelligence)
affect
sense
empowerment
satisfaction,
both
which
further
determine
intention.
Originality/value
Extant
has
identified
effect
flow,
trust
parasocial
interaction
continuance,
but
it
seldom
disclosed
internal
decisional
process
This
tries
fill
gap,
enrich
extant
continuance.
