Journal of Global Information Management,
Journal Year:
2024,
Volume and Issue:
32(1), P. 1 - 25
Published: Dec. 21, 2024
Despite
extensive
research
on
the
role
of
managers
in
digital
transformation,
there
is
limited
investigation
into
their
readiness
for
organizational
change.
This
knowledge
gap
particularly
significant
because
managers'
belief
a
crucial
prerequisite
effectively
guiding
and
implementing
transformation
initiatives.
Therefore,
this
study
aims
to
explore
influence
managerial
intention
implement
transformation.
To
achieve
this,
we
propose
an
integrated
model
that
combines
framework
with
theory
planned
behaviour,
consisting
three
sub-constructs:
structure
readiness,
technology
strategy
readiness.
Our
findings
reveal
all
these
sub-constructs
positively
impact
contributes
micro-foundations
specifically
highlighting
pivotal
managers.
Frontiers in Virtual Reality,
Journal Year:
2025,
Volume and Issue:
6
Published: Feb. 12, 2025
Virtual
Try-On
cosmetics
apps
based
on
Augmented
Reality
(AR)
technology
can
improve
both
consumer
product
evaluation
and
purchase
decisions,
while
also
supporting
companies’
marketing
strategies.
This
study
explores
the
factors
influencing
use
of
AR-based
by
administering
Technology
Acceptance
Model
(TAM)
additional
scales
a
sample
634
Italian
consumers.
Perceived
Informativeness
(PI)
Ease
Use
(PEOU)
were
hypothesized
as
predictors
TRUST,
DOUBT,
Makeup
Involvement
(MI),
Diagnosticity
(PD),
Behavioral
Intention
(BI),
with
Enjoyment
(PE)
acting
mediating
variable.
The
structural
equation
model
(SEM)
confirmed
PI
strong
predictor,
PE
serving
key
mediator.
findings
suggest
that
moderate
level
PEOU
is
ideal
-
excessive
simplicity
or
playfulness
increases
DOUBT
decreases
TRUST.
Both
PD
BI
are
positively
affected
AR
experience,
their
coexistence
being
crucial
for
effective
app
usage.
Additionally,
PI,
mediated
PE,
significantly
influences
BI,
emphasizing
role
information
in
decision-making.
These
results
provide
valuable
insights
industry,
offering
guidance
to
refine
user
experiences
enhance
engagement
satisfaction.
foresight,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 3, 2025
Purpose
The
artificial
intelligence-enabled
service
robot
has
the
potential
to
serve
in
consumer
market.
However,
there
is
limited
knowledge
of
how
users
across
globe
respond
this
innovation.
Therefore,
purpose
study
develop
an
integrated
research
model
led
by
three
known
theories,
namely,
diffusion
innovation,
theory
planned
behavior
and
DeLone
McLean
model,
investigates
intention
adopt
robot-enabled
services.
Design/methodology/approach
quantitative
design
selected
research.
Data
were
collected
through
structured
questionnaires.
Overall,
221
airline
passengers
participated
survey.
These
responses
further
analyzed
with
a
structural
equation
modeling
approach.
Findings
Statistical
findings
have
revealed
that
jointly
perceived
behavioral
control,
compatibility,
innovativeness,
information
quality,
system
quality
explained
R
2
50.3%
variance
user
attitude
robots.
In
addition
appearance
large
48.9
%
Nevertheless,
results
insignificant
moderating
impact
on
Practical
implications
Practically,
suggested
adequate
boost
confidence
encourage
services
Similarly,
compatibility
brings
ease
use
technology
innovativeness
attracts
users.
policymakers
should
focus
compatible
innovative
characteristics
Moreover
factors
such
as
subjective
norms
control
shown
positive
measuring
robots
hence
need
managerial
attention.
Originality/value
current
original,
it
gives
deep
insight
into
understanding
toward
adoption
Moreover,
integration
innovation
setting
made
more
unique.
consistent
United
Nations
sustainable
development
goals
ignites
SDG
progress
promoting
artificial-driven
robotic
sector.
Abant Sosyal Bilimler Dergisi,
Journal Year:
2025,
Volume and Issue:
25(1), P. 365 - 389
Published: March 24, 2025
The
use
of
artificial
intelligence
(AI)
in
the
retail
sector
is
steadily
increasing.
This
study
aims
to
reveal
usage
AI
retailing
over
years.
For
thisKoh
purpose,
137
studies
published
Journal
Retailing
and
Consumer
Services
were
analyzed
according
SPAR-4-SLR
protocol.
reviewed
across
four
domains:
publication
year,
consumer
approach,
technology
applied,
theoretical
framework.
Findings
indicate
that
most
2024,
primarily
focusing
on
purchasing
behavior,
extensive
chatbots,
frequent
application
Technology
Acceptance
Model
(TAM)
grounding.
research
distinguishes
itself
by
examining
retailer-consumer
behavior
relationship,
mainly
contributing
current
knowledge
this
area.
Keywords:
AI,
ıntelligence,
retailing,
behaviour
Journal of Consumer Behaviour,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 10, 2025
ABSTRACT
This
paper
is
a
comprehensive
systematic
literature
review
(SLR)
on
artificial
intelligence
(AI)
applications
in
consumer
financial
behavior
research,
highlighting
the
evolving
interface
between
AI
technologies
and
decisions.
Employing
hybrid
methodology
combining
bibliometric
analysis
domain‐based
review,
we
analyzed
89
peer‐reviewed
articles
from
Scopus,
Web
of
Science,
manual
search.
Our
findings
reveal
an
exponential
growth
publications
2016
to
2024,
emphasizing
burgeoning
interest
significant
advancements
applying
research.
Drawing
Theory‐Context‐Construct‐Method
(TCCM)
framework,
this
provides
understanding
dominant
theoretical
frameworks,
scenarios,
key
variables
their
associations,
data
sources,
research
approaches
employed
recent
research;
it
also
suggests
fertile
areas
for
future
Specifically,
three
have
been
identified:
(1)
consumers'
acceptance
interaction
with
subsequent
behaviors,
(2)
use
methodologies
investigate
behavior,
(3)
ethical
regulatory
challenges
associated
development
AI.
Insights
expert
interviews
further
validate
these
findings,
providing
academic,
industry,
perspectives
that
offer
nuanced
practical
implications
AI's
role
finance.
Finally,
identifies
gaps
overlooked
by
existing
discusses
directions
By
offering
insights
into
strategic
integration
practices,
study
serves
as
essential
resource
academics,
industry
practitioners,
policymakers
aiming
responsibly
effectively.
