Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Май 20, 2025
Extended
X-ray
absorption
fine
structure
(EXAFS)
serves
as
a
unique
tool
for
accurately
characterizing
the
local
structural
properties
surrounding
specific
atoms.
However,
quantitative
analysis
of
EXAFS
data
demands
significant
effort.
Artificial
intelligence
(AI)
techniques,
including
deep
reinforcement
learning
(RL)
methods,
present
promising
avenue
rapid
and
precise
sets.
Unlike
other
AI
approaches,
RL
method
utilizing
reward
values
does
not
necessitate
large
volume
pre-prepared
sets
training
neural
networks
system.
We
explored
application
sets,
reciprocal
R-factor
fit
metric.
The
effectively
determined
PtOx
Zn-O
complexes
by
fitting
series
to
theoretical
calculations
without
imposing
constraints.
Looking
ahead,
has
potential
independently
analyze
any
data,
although
there
are
still
challenges
overcome.
Journal of theoretical and applied electronic commerce research,
Год журнала:
2024,
Номер
19(1), С. 654 - 670
Опубликована: Март 18, 2024
The
fashion
industry
has
shown
increasing
interest
in
applying
artificial
intelligence
(AI),
yet
there
is
a
significant
gap
exploring
the
potential
of
emerging
diffusion-modeling-based
AI
image-generation
systems
for
design
and
commerce.
Therefore,
this
study
aims
to
assess
effectiveness
Midjourney,
one
such
system,
both
related
commerce
applications.
We
employed
action
research
approach
with
Functional,
Expressive,
Aesthetic
(FEA)
Consumer
Needs
Model
as
theoretical
framework.
Our
comprised
three
stages:
refining
an
initial
idea
into
well-defined
textual
concepts,
facilitating
concept
development,
validating
preceding
observations
reflections
by
creating
new
line
hemp-based
products
that
were
evaluated
targeted
consumers
through
online
survey.
Findings
reveal
tool
can
assist
designers
visually
expressive
attire
ready-to-wear
products,
meeting
defined
criteria
consumer
needs.
Midjourney
shows
promise
streamlining
process
enhancing
ideation
optimizing
details.
Potential
e-commercial
applications
proposed,
benefiting
physical
digital
businesses.
It
noted
that,
date,
major
limitations
using
encompass
its
restriction
only
early
stages
necessitating
substantial
involvement
from
designers.
Journal of Consumer Marketing,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 31, 2025
Purpose
This
research
focuses
on
developing
and
testing
a
conceptual
model
that
explores
customer
behavioural
responses
(engagement,
experience
recommendation)
towards
generative
artificial
intelligence
(AI)-enabled
chatbots.
It
highlights
the
significant
influence
of
anthropomorphic
characteristics
in
enhancing
perceptions
competence
warmth,
further
perceived
authenticity.
In
addition,
this
study
aims
to
investigate
how
need
for
social
interactions
moderates
these
relationships.
Design/methodology/approach
used
self-administered
questionnaire
distributed
Prolific
Academic
gather
data
from
282
eligible
participants
worldwide.
uses
structural
equation
modelling
approach
answer
questions.
Findings
The
findings
reveal
AI-enabled
chatbots
are
positively
associated
with
competence.
Moreover,
show
warmth
significantly
Furthermore,
results
highlight
authenticity
is
engagement,
recommendation.
Finally,
illustrate
impact
moderated
by
interaction.
Originality/value
enriches
AI
literature
guides
organizations
understanding
consumer
leveraging
contributes
response
theory
as
investigates
user
intentions
influenced
their
level
characteristics.
Sustainability,
Год журнала:
2024,
Номер
16(16), С. 6973 - 6973
Опубликована: Авг. 14, 2024
This
study
explores
the
significance
of
incorporating
soft
skill
training
in
fashion
design
education
through
use
artificial
intelligence
(AI)
technology
and
examines
various
AI-based
approaches
for
sustainable
textile
employing
a
multifaceted
methodology
that
encompasses
empirical,
quantitative,
qualitative
methods.
We
investigate
aspects
Design
Sprints,
identify
key
skills
help
students
meet
complex
demands
contemporary
workplaces,
propose
curriculum
guide
AI
programs,
evaluate
process.
Participants
included
who
had
completed
basic
courses
over
three
to
four
semesters
experience
with
The
findings
confirmed
participants’
improved
across
areas—digital
competence,
sense
initiative
entrepreneurship,
problem-solving
thinking
skills,
communication—through
curriculum.
validates
importance
integrating
into
educational
programs
enhance
essential
digital
industry
environment.
Additionally,
it
emphasizes
necessity
developing
technology-specialized
prompts
while
maintaining
balance
between
traditional
education.
Journal of risk and financial management,
Год журнала:
2024,
Номер
17(10), С. 470 - 470
Опубликована: Окт. 17, 2024
Financial
institutions
are
currently
undergoing
a
significant
shift
from
traditional
robo-advisors
to
more
advanced
generative
artificial
intelligence
(GenAI)
technologies.
This
transformation
has
motivated
us
investigate
the
factors
influencing
consumer
responses
GenAI-driven
financial
advice.
Despite
extensive
research
on
adoption
of
robo-advisors,
there
is
gap
in
our
understanding
specific
contributors
to,
and
differences
in,
attitudes
reactions
GenAI-based
guidance.
study
aims
address
this
by
analyzing
impact
personalized
investment
suggestions,
human-like
empathy,
continuous
improvement
GenAI-provided
advice
its
authenticity
as
perceived
consumers,
their
utilitarian
attitude
toward
use
GenAI
for
advice,
GenAI-generated
suggestions.
A
comprehensive
model
was
developed
based
service-dominant
logic
(SDL)
Artificial
Intelligence
Device
Use
Acceptance
(AIDUA)
frameworks.
The
subsequently
employed
structural
equation
modeling
(SEM)
analysis
survey
data
822
mobile
banking
users.
findings
indicate
that
GenAI’s
recommendations
positively
influence
consumers’
perception
authenticity.
Moreover,
we
discovered
positive
correlation
between
authenticity,
which
ultimately
influences
advisory
solutions.
manifested
either
willingness
engage
or
resistance
communication.
contributes
GenAI-powered
services
underscores
significance
integrating
guidance
into
routine
operations
institutions.
Our
work
builds
upon
previous
offering
practical
insights
seeking
leverage
technologies
enhance
customer
experiences.
Psychology and Marketing,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 26, 2024
ABSTRACT
The
current
research
examines
the
impact
of
using
AI‐generated
images
(vs.
real
photographs)
in
social
media
posts
green
influencers,
by
relying
on
schema
congruity
theory.
Three
experimental
studies
show
that
compared
to
photographs,
use
are
less
likely
receive
favorable
consumer
responses.
This
effect
arises
from
incongruity
between
gen‐AI
and
activated
post,
which
causes
a)
lower
perceived
appropriateness
a
image
context,
leading
b)
authenticity
post.
In
attempting
counter
this
negative
AI,
reason
for
is
ineffective
but
generated
purpose‐built
AI
aligns
with
cause
fully
mitigates
observed
issue.
By
identifying
explaining
specific
work
extends
influencers
general
marketing.
Findings
encourage
sustainable
brands
cautiously.
Journal of Advertising,
Год журнала:
2025,
Номер
unknown, С. 1 - 16
Опубликована: Янв. 7, 2025
Advertising
research
widely
uses
visual
stimuli.
Stimuli
development,
whether
by
researchers
or
hired
designers,
requires
considerable
time,
funding,
and
know-how.
Image
generative
artificial
intelligence
(iGenAI)
allows
faster
more
cost-effective
stimuli
production,
but
this
technology
can
produce
rigorous
experimental
comparable
to
researcher-generated
remains
an
open
question
addressed
herein.
First,
we
review
publications
in
three
advertising
marketing
journals
identify
relevant
domains
where
iGenAI
be
applied.
Second,
present
RAISE
(Rapid
Artificial
Intelligence
for
Experiments),
a
new
methodology
generate
AI
stimuli,
which
no
programming
relies
on
commercially
available
tools,
increasing
accessibility
researchers.
Five
studies
(1,785
participants)
directly
compare
generated
using
show
that
participants
cannot
differentiate
them.
Moreover,
AI-generated
satisfy
the
same
manipulation
checks
replicate
effects
of
existing
research.
Three
additional
(N
=
368)
lend
robustness,
indicating
are
valuable
tools
complement
traditional
methods
producing
