Human Behavior and Emerging Technologies,
Год журнала:
2025,
Номер
2025(1)
Опубликована: Янв. 1, 2025
The
adoption
of
artificial
intelligence
(AI)
based
marketing
systems
by
companies
is
increasing.
These
can
help
improve
their
performance,
increase
market
share,
and
reduce
costs.
Few
researchers,
in
this
regard,
have
sought
to
investigate
the
causes
nonacceptance
on
AI.
This
article
uses
qualitative
research
method
identify
effective
factors
current
study
practical
aim
essence,
utilizing
an
exploratory
methodology.
statistical
population
includes
238
studies
including
articles
acceptance
AI
between
2019
2024.
data
collection
tool
was
selected
form
a
systematic
review
library
literature
previous
researches,
meta‐synthesis
Sandelowski
Barroso.
sampling
also
entry
exit
criteria
PRISMA
(preferred
reporting
items
for
reviews
meta‐analyses)
method.
framework
evaluating
enhancing
quality
scientific
through
meta‐synthesis.
findings
show
that
four
functional
expectations,
usage
organizational
factors,
user
intent
significant
effect
these
systems.
Companies
promote
culture
learning
embracing
innovation
are
more
likely
adopt
AI‐based
organization.
Journal of Business Research,
Год журнала:
2024,
Номер
180, С. 114737 - 114737
Опубликована: Май 24, 2024
Generative
Artificial
Intelligence
(GAI)
is
witnessing
a
lot
of
adoption
across
industries,
but
literature
yet
to
fully
document
the
nuances
these
applications.
We
develop
comprehensive
framework
for
understanding
factors
that
affect
trust
in
online
grocery
shopping
(OGS)
using
GAI
chatbots.
Our
exploratory
study
was
conducted
via
interviews,
which
helped
build
our
model.
integrate
Elaboration
Likelihood
Model
(ELM)
and
Status
Quo
Bias
(SQB)
theory
Unified
Framework
Trust
on
Technology
Platforms.
In
confirmatory
study,
by
analyzing
372
responses
from
users,
structural
equation
modelling
(SEM),
we
initially
validate
path
Subsequently,
used
fuzzy
set
qualitative
comparative
analysis
(fsQCA)
check
causal
combinations
explain
different
levels.
Apart
perceived
regret
avoidance,
all
other
had
significant
effect
attitude
trust.
Perceived
anthropomorphism
moderated
associations
between
interaction
quality,
credibility,
threat,
attitude.
Applied Sciences,
Год журнала:
2023,
Номер
13(11), С. 6496 - 6496
Опубликована: Май 26, 2023
Artificial
Intelligence
(AI)
applications
in
different
fields
are
developing
rapidly,
among
which
AI
painting
technology,
as
an
emerging
has
received
wide
attention
from
users
for
its
creativity
and
efficiency.
This
study
aimed
to
investigate
the
factors
that
influence
user
acceptance
of
use
AIBPS
by
proposing
extended
model
combines
Extended
Technology
Acceptance
Model
(ETAM)
with
AI-based
Painting
System
(AIBPS).
A
questionnaire
was
administered
528
Chinese
participants,
validated
factor
analysis
data
Structural
Equation
Modeling
(SEM)
were
used
test
our
hypotheses.
The
findings
showed
Hedonic
Motivation
(HM)
Perceived
Trust
(PE)
had
a
positive
effect
(+)
on
users’
Usefulness
(PU)
Ease
Use
(PEOU),
while
Previous
Experience
Technical
Features
(TF)
no
(−)
(PU).
provides
important
contribution
literature
evaluation
systems
same
type,
helps
promote
sustainable
development
domains
possible
space
further
extension
TAM,
thus
helping
improve
experience
AIBPS.
results
this
provide
insights
system
developers
enterprises
better
motivate
International Journal of Human-Computer Interaction,
Год журнала:
2023,
Номер
40(23), С. 8091 - 8106
Опубликована: Ноя. 12, 2023
The
rapid
development
and
widespread
adoption
of
artificial
intelligence
(AI)
systems
like
ChatGPT
in
the
workplace
underscores
need
for
a
comprehensive
understanding
their
implications
on
worker
productivity,
learning,
determinants
usage.
This
study
elucidates
antecedents
outcomes
using
among
workers,
employing
sample
size
351
participants
across
various
industries,
aged
between
20
40.
Structural
equation
modeling
(SEM)
was
employed
analysis,
providing
robust
perspective
relationships
variables.
discovered
that
perceived
self-learning
hold
significant
positive
associations
with
information
support
knowledge
acquisition,
both
which
further
influence
utilitarian
benefits
by
users,
thereby
shaping
intention
to
use
ChatGPT.
Utilitarian
were
found
significantly
enhance
but
did
not
directly
impact
its
actual
ChatGPT,
however,
positively
correlate
use.
Among
demographic
factors,
gender
age
identified
as
influencing
use,
whereas
industry
users
impact.
With
these
findings,
this
offers
more
profound
how
AI
can
contribute
presents
strategic
insights
practitioners
looking
effectively
implement
technologies.
Sustainability,
Год журнала:
2024,
Номер
16(3), С. 1276 - 1276
Опубликована: Фев. 2, 2024
With
the
rapid
development
of
artificial
intelligence
(AI)
technology,
AI
educators
have
become
a
reality.
The
advancement
and
increasing
applications
technology
in
higher
education
not
only
provide
more
efficient
tools
for
teachers
long-term
focused
teaching,
but
also
new
active
independent
spaces
sustainable
self-motivated
learning
college
students.
It
is
great
importance
that
effects
educator
design
are
understood
to
ensure
deployment
AI-driven
courses
at
universities.
This
paper
investigates
influences
educators’
autonomy
on
students’
usage
intentions
by
delving
into
how
satisfies
needs.
Drawing
uses
gratification
(U&G)
framework,
we
theoretically
elaborate
(i.e.,
sensing
autonomy,
thought
action
autonomy)
use
an
through
mediating
U&G
benefits
information-seeking
gratification,
social
interaction
entertainment
gratification).
By
conducting
online
survey
(N
=
673)
students,
found
positively
associated
with
intention
due
gratifications;
related
intention,
mediated
gratifications,
linked
paths
gratifications.
Our
findings
both
theoretical
contributions
practical
implications.
Advances in hospitality, tourism and the services industry (AHTSI) book series,
Год журнала:
2024,
Номер
unknown, С. 66 - 83
Опубликована: Авг. 14, 2024
Tourism,
hospitality,
efficiency,
and
customer
satisfaction
benefit
from
AI.
AI
automation,
deep
learning,
predictive
analytics,
customized
solutions
change
operations.
Chatbots
handle
urgent
reservations
inquiries,
while
humans
difficult
situations.
These
trustworthy
boost
business
efficiency.
ML
algorithms
pricing
booking
systems'
responsiveness,
market
sensitivity.
AI-customized
data
improves
marketing
communications.
integration
raises
ethical
concerns
of
things
like
enterprise
privacy
automation.
But
it
also
cuts
tourism
hotel
staff
turnover
hiring
costs.
uses
analytics
to
automate
distribute
resources,
saving
time
money.
This
extensive
study
examines
AI's
impact
on
travel
hospitality.
Reports
inform
stakeholders
current
future
trends.
In
this
chapter,
the
authors
prepare
for
rapid
industry
transformation.
Interactive Learning Environments,
Год журнала:
2024,
Номер
unknown, С. 1 - 27
Опубликована: Июнь 12, 2024
The
adoption
and
usage
of
ChatGPT
among
students
are
influenced
by
various
factors,
including
individual
characteristics
such
as
age,
gender,
experience
with
technology
use.
However,
studies
on
the
moderating
roles
in
predicting
students'
behavioural
intention
limited.
This
study
employed
Unified
Theory
Acceptance
Use
Technology
(UTAUT2)
model
to
examine
predictors
Higher
Education
(HE)
ChatGPT.
a
descriptive
cross-sectional
survey
design
an
adapted
instrument
collect
data
from
486
students.
Using
Partial
Least
Squares
Structural
Equation
Modelling
approach,
results
showed
that
hedonic
motivation,
performance
expectancy,
effort
social
influence
were
significant
intention,
whereas
facilitating
conditions
had
actual
use
Age
gender
found
moderate
relationship
between
Lastly,
moderated
habit
ChatGPT,
motivation
intention.
These
findings
have
implications
for
implementation
higher
education
towards
enhancing
engagement
learning
outcomes.
Journal of Multidisciplinary Healthcare,
Год журнала:
2023,
Номер
Volume 16, С. 785 - 795
Опубликована: Март 1, 2023
COVID-19
pandemic
can
cause
problems
in
adolescent
mental
health
such
as
anxiety,
depression,
and
stress.
This
is
because
the
distance
barrier
becomes
an
obstacle
handling
adolescents.
The
use
of
technology
has
potential
to
deal
with
problems.
purpose
this
study
was
describe
types
digital-based
nursing
interventions
reduce
symptoms
stress
depression
on
adolescents
during
pandemic.
used
Scoping
Review
method.
Literature
from
CINAHL,
PubMed,
ProQuest
databases.
keywords
were
adolescent,
stress,
digital,
application,
intervention
English.
criteria
for
articles
full-text
articles,
sample
adolescents,
intervention,
are
original
research,
time
setting
2018-2022.
We
found
11
discussing
There
2
namely
mobile-based
web-based
intervention.
two
be
combined
become
a
method
providing
digital
that
effective
reach
entire
community.
Digital-based
carried
out
by
paying
attention
physical,
psychological,
spiritual,
cultural
aspects
improve
goals
care
so
they
significant
reducing
Covid-19
consisting
among
increasing
resilience,
well-being,
self-efficacy.
American Journal of Industrial and Business Management,
Год журнала:
2023,
Номер
13(04), С. 195 - 214
Опубликована: Янв. 1, 2023
Previous
studies
paid
more
attention
to
factors
affecting
consumers
intentions
and
behaviors
adopt
IT
in
the
retail
industry;
however,
little
has
been
consumer
chatbots
retails
industry.
This
study
utilizes
technology
acceptance
models
explore
these
factors.
Quantitative
approach
method
using
online
survey
was
adopted
collect
data
from
Saudi
Arabia
We
collected
903
analyzed
it
structural
equation
modeling
technique.
The
findings
indicated
that
perceived
intelligence,
ease
of
use,
usefulness
have
a
significant
positive
influence
on
chatbots.
It
also
technological
anxiety
negative
intentions.
Our
anthropomorphism
plays
moderating
role
relationships.
offers
meaningful
implications
for
retailers
marketer
develop
their
marketing
plan
strategy.
