A consumer acceptance model in the artificial intelligence era
Management Decision,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 8, 2025
Purpose
This
paper
identifies
consumer
acceptance
criteria
of
artificial
intelligence
(AI)-enabled
products
and
services
in
the
business.
We
first
investigate
existing
three
models.
They
are
technology
model
(TAM),
unified
theory
use
(UTAUT)
(CAT).
then
discuss
applicability
these
models
for
AI-enabled
services.
Finally,
we
outline
shortcomings
propose
an
product
service
(AIEPSAM).
also
validate
proposed
AIEPSAM
with
empirical
results
using
primary
survey
data.
Design/methodology/approach
To
understand
customer’s
point
view
on
AI
applications
services,
identify
some
critical
factors
present
a
conceptual
framework
consumers'
based
literature,
prior
research
prominent
management
theories.
Then,
study
broadens
horizon
beyond
established
principles
associated
to
accommodate
AI-specific
factors/variables
like
data
privacy,
explainability
apparent
opacity
algorithms.
In
this
paper,
that
Findings
argue
although
TAM,
UTAUT
CAT
generally
applicable
explain
attitudes
towards
technology,
alone
insufficient
encompass
entire
spectrum
AI-related
issues
must
not
be
ignored.
The
model,
namely
AIEPSAM,
accommodates
limitations
modifies
make
it
suitable
technology.
Originality/value
attempt
articulate
discover
useful
insights,
leading
examination
formulating
validation
through
is
criticize
TAM
other
but
incorporate
into
those
Through
study,
required
modifications
considering
additional
factors.
will
assist
companies
building
better
understanding
emergence
(TE)
opportunities
(TO).
Язык: Английский
Data-Driven Digital Transformation in Operations and Supply Chain Management
International Journal of Production Economics,
Год журнала:
2025,
Номер
unknown, С. 109599 - 109599
Опубликована: Март 1, 2025
Язык: Английский
Research on the Driving Paths and Evolution of Digital Innovation in Intelligent Connected Vehicle Enterprises—A Configurational Analysis Based on Dynamic fsQCA
Sustainability,
Год журнала:
2024,
Номер
16(23), С. 10545 - 10545
Опубликована: Дек. 1, 2024
Intelligent
connected
vehicles
(ICVs)
are
increasingly
emerging
as
a
pivotal
driving
force
for
promoting
sustainable
development
in
global
transportation
due
to
their
outstanding
performance
mitigating
carbon
emissions,
alleviating
traffic
congestion,
and
enhancing
travel
efficiency.
Enhancing
the
digital
innovation
capability
of
ICV
enterprises
is
an
imperative
path
explore
high-quality
industry
effectively
respond
latest
technological
revolution
industrial
transformation.
Based
on
panel
data
from
20
listed
companies
China
2019
2022,
this
study
utilizes
fixed-base
index
fuzzy
set
qualitative
comparative
analysis
(fsQCA)
method
within
framework
technology–organization–environment
(TOE)
theory
investigate
influencing
factors,
paths,
temporal
trends
China.
The
results
show
following:
(1)
No
single
factor
can
constitute
sufficient
condition
achieving
high
level
innovation.
(2)
showed
fluctuating
growth
trend
during
2019–2022.
Digital
infrastructure
market
competition
two
critical
factors
innovation,
while
technology
organizational
conditions
have
become
bottlenecks.
(3)
There
five
paths
China,
including
Entrepreneurial
Navigation
+
Technology
Accumulation
Driving
Path,
R&D
Advantage
Environment
Application
Oriented
Knowledge
Absorption
Total
Factor
Path.
(4)
From
underwent
stages
evolution,
namely
“Knowledge
Government
Promotion”
“Technology
Embedded
Market
Driven”.
(5)
A
substitutive
relationship
exists
between
resource
acquisition
capabilities
infrastructure,
which
promotes
through
different
leading
same
goal.
findings
important
theoretical
practical
implications
making
scientific
reasonable
decisions,
thereby
fostering
automotive
industry.
Язык: Английский