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.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 135469 - 135488
Published: Jan. 1, 2024
With
the
rapid
development
of
Artificial
Intelligence
(AI)
technology
in
art
field,
AI
painting
tools
(AIPT)
have
attracted
a
high
interest
creation
art.
However,
factors
affecting
Chinese
users'
continued
or
interrupted
use
AIPTs
not
been
adequately
studied.
This
study
builds
new
theoretical
model
based
on
perspective
user
experience,
combining
Expectation
Confirmation
Model
(ECM)
and
Technology
Acceptance
(TAM),
with
aim
deeply
exploring
continuance
intention
to
AIPT
process.
We
collected
data
from
532
users
that
regarded
as
production
tool
performed
analysis
testing
using
SPSS
27
Partial
Least
Squares
Structural
Equation
Modeling
(PLS-SEM)
Smartpls
4.
The
results
showed
positive
trend
overall
continuous
AIPT.
Among
14
hypotheses
proposed,
11
were
validated
3
rejected.
emotion
experience
(EE)
has
most
significant
effect
(CI),
valuing
emotional
involvement
experience.
is
followed
by
satisfaction
(SAT),
attitude
(ATT),
perceived
usefulness
(PU),
trust
(PT),
while
intelligence
(PI)
novelty
(PN)
indirectly
affect
CI
through
mediating
variables
PT
SAT.
findings
this
only
contribute
both
insights
into
process,
comprehensive
robust
discussion
future
direction
Furthermore,
it
offers
valuable
technical
solutions
practical
guidance
for
developers,
underscoring
importance
considering
needs
when
optimizing
technology.
It
also
improves
sustained
usage
facilitates
co-creation
human
beings
AI,
which
provides
essential
information
further
commercialization
field.
International Journal of Computing and Digital Systems,
Journal Year:
2024,
Volume and Issue:
15(1), P. 1329 - 1341
Published: June 2, 2024
The
COVID-19
pandemic's
outbreak
hastened
the
digital
transformation
within
Indonesian
MSMEs.The
crisis
necessitated
an
immediate
transition
to
online
platforms
sustain
business
activities,
driving
many
MSMEs
surmount
previous
reluctance
and
embrace
technologies.This
research
focused
on
determinant
of
intention
use
behaviour
fintech
payment
system
among
Indonesia
MSME's.This
study
highlights
importance
urgency
understanding
evolving
dynamics
adoption
in
post-COVID
era,
using
UTAUT
shed
light
these
specific
factors.The
approach
used
this
is
quantitative.The
sampling
technique
was
purposive
which
has
selection
criteria
that
have
engaged
with
systems
for
at
least
one
year.The
sample
size
calculation
utilized
Slovin
formula,
incorporating
a
margin
error
5%
got
399
respondents
from
Surabaya,
Indonesia.Data
analysis
techniques
are
SEM-PLS
SmartPLS-4.The
result
finding
indicate
Performance
Expectancy,
Effort
Social
Influences
significantly
influence
Behavioural
Intention.However,
Facilitating
Conditions
do
not
notable
impact
either
Intention
or.In
addition,
Behavioral
Use
Behaviour
MSMEs.This
enhances
theoretical
by
utilizing
model
novel
context,
only
extends
model's
relevance
but
also
definitively
ascertains
factors
such
as
performance
expectancy,
effort
social
influence,
facilitating
conditions
acceptance
FinTech
solutions.Practically,
offers
government
make
valuable
guidance
formulating
strategies
surmounting
obstacles
integration.Further
exploration
into
facets
required
future
studies
policy
formulation
should
better
align
unique
necessities
during
their
processes.
International Journal of Consumer Studies,
Journal Year:
2024,
Volume and Issue:
48(6)
Published: Nov. 1, 2024
ABSTRACT
The
aim
of
this
study
is
to
conduct
a
systematic
review
the
literature
on
consumer
curiosity
and
its
impact
behavior.
“Scientific
Procedures
Rationales
for
Systematic
Literature
Reviews”
(SPAR‐4‐SLR)
methodology
“Theory,
Context,
Characteristics,
Methodology”
(TCCM)
framework
were
employed
analyze
122
papers
published
between
1992
2024.
Articles
selected
from
Web
Science
database
using
key
terms
related
curiosity.
Consumer
complex
phenomenon
that
influences
various
aspects
behavior,
including
purchase
decisions,
engagement,
adaptation
new
technologies.
Curiosity
serves
as
significant
moderator
mediator
in
interactions
with
market,
especially
context
technologies
such
AI
VR.
findings
indicate
growing
interest
studying
recent
years,
reflected
by
increasing
number
publications.
practical
implications
analysis
are
stakeholders.
Businesses
can
leverage
these
develop
more
effective
marketing
strategies
engage
consumers
stimulating
their
Understanding
how
decision‐making
also
aid
development
innovative
products
services
better
meet
consumers'
unmet
needs.
Additionally,
academic
researchers
build
theoretical
frameworks
design
future
research
based
identified
gaps.
Finally,
managers
professionals
apply
insights
personalize
shopping
experiences
enhance
which
lead
increased
brand
loyalty
competitive
advantage.
This
emphasizes
need
further
role
behavior
product
innovation
provides
recommendations
directions
could
contribute
deeper
understanding
shapes
brands
products.
Journalism and Media,
Journal Year:
2024,
Volume and Issue:
5(4), P. 1624 - 1645
Published: Nov. 6, 2024
This
article
aims
to
investigate
the
factors
that
affect
behavioural
intention
(BI)
and
user
behaviour
(UB)
among
Arabian
users
of
generative
artificial
intelligence
(GenAI)
applications
in
context
media
content
creation.
The
study’s
theoretical
framework
is
grounded
unified
theory
acceptance
use
technology
(UTAUT2).
A
sample
496
was
analysed
using
partial
least
squares
structural
equation
modelling
technique
(PLS-SEM).
results
revealed
BI
significantly
influenced
by
performance
expectancy,
effort
social
influence,
hedonic
motivation,
habit,
trust,
with
motivation
having
greatest
impact.
In
terms
UB,
facilitation
conditions,
were
all
found
have
a
positive
significant
study
contributes
existing
on
utilisation
GenAI
organising
findings
pertaining
AI
for
Kybernetes,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 27, 2024
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.
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.
