Journal of Sustainable Marketing,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 21
Published: Dec. 28, 2024
The
present
study
attempts
to
enhance
our
understanding
of
the
intention
purchase
electric
vehicles
in
India
and
incorporates
price
value
environmental
concern
into
Theory
Planned
Behavior
model.
was
conducted
three
phases.
Phase
I
involved
developing
testing
research
instruments
used
collect
data.
In
II,
a
pilot
conducted,
employing
exploratory
factor
analysis
confirm
dimensionality
constructs.
III
focused
on
validating
model
against
larger
sample
size.
data
for
collected
using
combination
online
offline
approaches
analyzed
AMOS
24.0.
findings
suggest
that
positively
influence
attitude
toward
vehicles.
also
supports
positive
variables—subjective
norms,
perceived
behavioral
control,
attitude—on
offers
insights
practitioners
encourage
use
and,
hence,
contributes
2030
Sustainable
Development
Goals
as
would
help
mitigate
climate
change,
improve
human
health,
well-being
society.
Acta Psychologica,
Journal Year:
2024,
Volume and Issue:
249, P. 104450 - 104450
Published: Aug. 3, 2024
Over
the
past
decade,
rapid
development
of
artificial
intelligence
has
propelled
transition
autonomous
vehicles
from
laboratories
to
real-world
applications.
However,
are
a
long
way
fully
integrating
into
most
people's
lives.
Previous
studies
indicate
that
word-of-mouth
effect
is
often
used
by
consumers
determine
quality
innovative
technologies.
Word-of-mouth
recommendation
can
not
only
increase
income
enterprises
attracting
new
customers,
but
also
greatly
reduce
promotion
and
publicity
expenses
enterprises.
Through
effect,
intention
recommend
contribute
growth
driving
market.
Therefore,
current
research
explores
mechanisms
among
perceived
risk
privacy
safety,
defect,
behavioral
control,
use,
through
path
analysis.
Our
findings,
based
on
433
online
questionnaires,
defects,
control
influence
recommend.
Notably,
safety
defect
directly
affects
correlates
with
control.
These
findings
provide
some
empirical
evidence
for
expansion
consumer
groups.
The
implementation
of
fully
autonomous
vehicles
(FAVs)
has
been
proposed
to
yield
societal
and
environmental
benefits.
However,
there
are
uncertainties
regarding
the
factors
influencing
acceptance
FAVs
in
developing
countries
which
understudied.
Therefore,
this
study
aims
examine
affecting
public
adoption
FAVs,
applying
Technology
Acceptance
Model
(TAM)
Unified
Theory
(UTAUT)
conceptual
frameworks.
Data
was
collected
through
an
online
survey
(n
=
593).
results
reveal
a
moderate
predictive
ability
both
TAM
UTAUT
explaining
behavior
intention
use
FAVs.
most
significant
predictors
perceived
usefulness
social
influence.
This
also
identified
ease
use,
attitude
toward
behavior,
hedonic
motivation,
performance
expectancy,
effort
expectancy
as
predictors.
Conversely,
facilitating
condition
is
found
exert
minimal
influence
on
acceptance.
Finally,
none
demographic
(age,
gender,
education,
occupations,
residencies)
serves
moderator
relationship
between
main
UTAUT.
Our
findings
may
help
researchers
practitioners
enhance
acceptability
FAV
adoption.
The
integration
of
autonomous
vehicles
(AVs)
into
modern
transportation
systems
is
an
inevitable
development,
highlighting
the
need
to
explore
factors
influencing
public
acceptance
AVs.
Although
numerous
studies
have
examined
user
AVs
in
developed
nations,
investigation
developing
countries
remains
significantly
limited.
Drawing
upon
theory
planned
behavior
(TPB),
this
study
investigated
individuals'
intentions
use
two
different
levels
autonomy:
partial
(level
2)
and
full
5).
Data
were
gathered
from
separate
sample
sets
through
online
survey
questionnaire,
resulting
640
participants
with
(PAVs)
593
fully
(FAVs).
Partial
least
squares
structural
equation
modeling
(PLS-SEM)
analysis
indicated
moderate
predictive
power
for
TPB
models
both
cases.
All
constructs
predicted
future
types
Specifically,
subjective
norms
construct
was
strongest
predictor
autonomy
intention,
while
perceived
behavioral
control
findings
provide
insights
underlying
beliefs
that
can
enhance
within
a
country's
context.
They
also
emphasize
similarities
differences
public's
perceptions
distinct
vehicle
automation.
Systems,
Journal Year:
2024,
Volume and Issue:
12(8), P. 296 - 296
Published: Aug. 11, 2024
Connected
and
automated
vehicles
(CAVs)
are
poised
to
revolutionize
mobility.
The
relocation
feature
of
CAVs
enhances
parking
convenience
for
the
public.
Users
can
instruct
arrive
at
their
work
destination,
drop
them
off,
then
assign
a
cost-effective
facility
through
an
optimized
itinerary.
However,
realizing
benefits
depends
on
user
acceptance,
impact
features
CAV
acceptance
remains
area
that
is
yet
be
explored.
This
study
introduces
novel
model
mainly
investigate
effects
relocation-related
factors
717
valid
responses.
results
indicate
perceived
(PCOR)
indirectly
increases
human
three
determinants,
initial
trust,
usefulness
(PU),
ease
use
(PEOU),
while
PU,
PEOU
directly
increase
acceptance.
public
expectations
saving
fees
(EOSPF)
enhance
PCOR.
Additionally,
multigroup
analysis
revealed
PCOR
exerts
more
positive
PU
or
in
subgroups
including
males,
pre-Generation-Z
individuals,
experienced
drivers,
those
with
autopilot
riding
experience.
findings
mediators
also
discussed.
provides
valuable
insights
further
research
practical
adoption
emerging
CAVs.
