Journal of theoretical and applied electronic commerce research,
Journal Year:
2024,
Volume and Issue:
19(2), P. 1142 - 1163
Published: May 22, 2024
Given
the
increasing
competition
and
impact
of
digital
media
in
automobile
industry,
dealerships
need
to
understand
antecedents
customer
happiness
brand
love.
The
goals
study
are
analyse
combined
influence
cognitive
affective
drivers
love
for
high-involvement
products
its
effects
on
behavioural
intentions,
paying
special
attention
moderating
role
susceptibility
information
posted
social
media.
Using
a
sample
317
Jordanian
car
buyers,
structural
model
is
tested
that
confirms
sales
consultant’s
empathy
strong
predictor
during
purchase
stronger
his/her
trust
dealership.
Happiness
translate
into
greater
love,
which
turn
can
generate
resistance
towards
negative
media;
positive
electronic
word-of-mouth;
willingness
pay
more.
fully
mediated
relationship
between
effect
perceived
salespeople
was
consumers
with
low
This
work
expands
academic
knowledge
direct
mediating
Technology in Society,
Journal Year:
2023,
Volume and Issue:
73, P. 102232 - 102232
Published: March 25, 2023
The
potential
impacts
of
machine
learning
and
artificial
intelligence
(AI)
on
society
are
receiving
increased
attention
owing
to
the
rapid
growth
these
technologies
during
fourth
industrial
revolution.
Thus,
a
detailed
analysis
positive
implications
drawbacks
AI
technology
in
human
is
necessary.
development
has
created
new
markets
employment
opportunities
vital
industries,
including
transportation,
health,
education,
environment.
According
experts,
rapidly
increasing
improvements
will
continue.
As
part
humankind's
continual
efforts
create
more
prosperous
technological
growth,
automation
changing
people's
lives
widely
considered
be
game-changers
variety
industries.
This
study
presents
review
how
may
affect
businesses
jobs.
To
determine
some
prospective
long-term
consequences
civilisation,
this
investigates
connected
primary
impacting
potentials,
job
losses,
employees'
well-being,
dehumanisation
jobs,
fear
AI,
examples
autonomous
developments,
such
as
autonomous-vehicle
challenges.
A
diverse
methodology
narrative
thematic
pattern
was
used
add
transdisciplinary
or
multidisciplinary
work,
particularly
theoretical
technologies.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 7, 2025
Abstract
Automated
vehicle
acceptance
(AVA)
research
has
grown
substantially
in
the
past
few
years.
There
is
a
paucity
of
on
role
big
five
personality
traits
attitudes
towards
automated
vehicles
(AVs)
and
AVA.
This
critical
shortcoming
given
that
considered
factor
explaining
technology
adoption.
Our
major
theoretical
contribution
integration
most
popular
measure
–
one
influential
models
Unified
Theory
Acceptance
Use
Technology
(UTAUT2).
A
questionnaire
was
administered
to
9,339
respondents
from
nine
countries
predict
behavioral
intention
use
conditionally
(CondAVs).
The
original
UTAUT2
extended
by
trust
driver
engagement
openness,
conscientiousness,
extraversion,
agreeableness,
neuroticism.
Structural
equation
modeling
applied
examine
direct
effects
these
constructs
indirect
independent
UTAUT2.
results
have
shown
positive
social
influence,
trust,
performance
expectancy
CondAVs.
Most
hypotheses
pertaining
were
supported,
but
relatively
small
(<
0.25).
findings
support
usefulness
evaluating
success
AVs,
providing
crucial
insights
into
factors
driving
cross-country
analysis
provides
further
an
individual’s
for
study
yields
important
implications
practitioners.
Given
effect
sizes
personality,
designing
CondAVs
around
personalities
their
customers
during
development
commercialization
may
be
ineffective
promote
acceptance.
Journal of Computer Information Systems,
Journal Year:
2023,
Volume and Issue:
64(3), P. 342 - 359
Published: May 5, 2023
This
study
examines
the
organizational
adoption
of
blockchain
technology
(BCT)
by
synthesizing
empirical
findings
reported
in
37
studies
using
a
meta-analysis
bivariate
relationships.
An
extended
technology-organization-environment
(TOE)
framework
is
applied
to
examine
antecedents
and
outcomes
BCT
adoption.
Our
results
show
that
various
technological,
organizational,
environmental
factors
influence
adoption,
including
compatibility,
perceived
ease
use,
top
management
support,
coercive
pressure.
Overall,
technological
had
stronger
impact
than
concerning
Further,
our
analysis
identifies
improvements
operational
performance,
innovation
capability,
sustainability.
has
strongest
on
performance.
contributes
existing
literature
offering
comprehensive
synthesized
overview
British Food Journal,
Journal Year:
2024,
Volume and Issue:
126(8), P. 3113 - 3133
Published: June 22, 2024
Purpose
This
study
explores
the
factors
impacting
user
adoption
and
trust
in
blockchain-based
food
delivery
systems,
with
a
spotlight
on
Open
Network
for
Digital
Commerce
(ONDC).
In
evolving
sector,
blockchain
offers
transparency
efficiency.
Through
Unified
Theory
of
Acceptance
Use
Technology
(UTAUT)
lens,
this
research
provides
insights
businesses
policymakers,
highlighting
importance
blockchain’s
integration
into
delivery.
Design/methodology/approach
The
employed
UTAUT
its
extensions
as
theoretical
framework.
A
structured
questionnaire
was
developed
disseminated
to
users
ONDC
platform,
responses
were
collected
seven-point
extended
Likert
scale.
analyses
undertaken
employing
partial
least
squares
(PLS)
methodology
structural
equation
modelling
(SEM).
Findings
Key
like
performance
expectancy,
effort
expectancy
social
influence
found
influential
adoption.
Trust
played
central
role,
while
perceived
risk
didn’t
significantly
mediate
process.
culture
moderate
intention.
Originality/value
adds
existing
body
knowledge
by
providing
empirical
platforms.
It
is
among
pioneer
studies
apply
model
realm
platforms,
thereby
offering
unique
perspective
dynamics
behaviour
emerging
field.
International Journal of Human-Computer Interaction,
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 22
Published: Dec. 3, 2023
Autonomous
vehicles
(AVs)
offer
several
benefits,
such
as
improving
road
safety,
mitigating
traffic
congestion,
and
reducing
fuel
consumption
gas
emissions.
Despite
these
their
adoption
rate
remains
limited
due
to
various
factors
influencing
users'
decisions.
While
previous
studies
have
identified
numerous
AV
using
frameworks,
the
not
been
comprehensively
analyzed
synthesized.
Thus,
this
systematic
review
aims
bridge
gap
by
identifying
classifying
of
AVs.
Out
3,532
collected
research
papers,
71
empirical
were
thoroughly.
The
findings
demonstrated
that
technology
acceptance
model
(TAM)
was
most
widely
used
for
investigating
adoption.
in
classified
into
distinct
categories:
psychological
behavioral
factors,
technological
social
environmental
security
privacy
AV-related
risky
negative
conditional
monetary
factors.
We
proposed
an
framework
grounded
taxonomy
direct
subsequent
research.
also
highlighted
agendas
serve
a
blueprint
future
studies.
This
offers
theoretical
insights
actionable
recommendations
multiple
research,
development,
implementation
stakeholders.
Transportation Research Interdisciplinary Perspectives,
Journal Year:
2024,
Volume and Issue:
24, P. 101049 - 101049
Published: March 1, 2024
Despite
the
significant
benefits
of
Autonomous
Vehicles
(AVs)
for
global
transportation,
Indonesia's
diverse
geographical
landscape
encounter
unique
adoption
challenges
due
to
infrastructural
shortcomings
and
economic
limitations.
This
study
explores
AVs
in
Indonesia,
considering
its
potential
market
crucial
role
AV
Electric
Vehicle
supply
chains.
Drawing
upon
Technology
Acceptance
Model
(TAM)
Unified
Theory
Use
(UTAUT),
we
assessed
acceptance
across
Metropolitan
Cities,
frontier
regions
("3T"),
New
National
Capital
City
(IKN)
areas.
Using
a
cross-sectional
design,
distributed
an
online
questionnaire,
focusing
on
demographics,
perceived
safety,
transport
mode
changes,
behavioral
intention
towards
AVs,
based
TAM
UTAUT
factors.
From
1,255
valid
responses,
found
influences
gender
(t
(1253)
=
4.22),
safety
perceptions
(F
(2,1252)
52.373),
frequency
(4,
1250)
6.662)
intentions.
Both
models
were
moderately
effective
explaining
willingness
use
(R2
34%
48%,
respectively).
highlighted
usefulness
(β
0.421)
ease
0.540),
while
emphasized
effort
expectancy
0.317)
social
influence
0.240).
However,
findings
from
multigroup
analysis
did
not
corroborate
residential
areas
determining
AVs.
These
offer
insights
developing
promotion
strategies,
creating
user-friendly
designs,
formulating
supportive
policies
Indonesian
regions.
IEEE Transactions on Consumer Electronics,
Journal Year:
2023,
Volume and Issue:
70(1), P. 956 - 965
Published: Nov. 1, 2023
The
integration
of
artificial
intelligence-powered
automotive
electronics
has
revolutionized
teleoperated
vehicles
through
the
adoption
Augmented
Reality
Things
(ARoT).
This
transformation
is
facilitated
by
Reality-based
Heads-Up
Displays
(AR-HUDs)
connected
to
vehicle
sensors,
which
improve
driver
visibility
with
immersive
overlays,
taking
in-vehicle
human-computer
interaction
new
heights.
These
developments
include
Advanced
Driver-Assistance
Systems
(ADAS)
that
aid
drivers
whether
they
are
physically
present
in
or
remotely
controlling
it.
However,
integrating
ARoT
and
ADAS
raises
security
privacy
concerns,
especially
regarding
false
data
injection
attacks.
paper
analyzes
vulnerabilities
AR-HUDs,
focusing
on
forged
frames
shared
AR-HUD
video
between
their
Digital
Twins
(DT).
Critical
identified
DT,
necessitating
effective
mitigation
for
Metaverse
access.
In
addition,
proposed
solution
a
decentralized
framework
based
multiple
blockchains,
overcoming
latency
scalability
issues
Multichain
scaffold.
Furthermore,
heavily
relies
deep
neural
network
computer
vision-based
obstacle
detection,
results
displayed
AR-HUD.
helps
secure
entire
ecosystem,
ensuring
integrity
safety
vehicles.
International Journal of Human-Computer Interaction,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 18
Published: Oct. 17, 2024
This
study
delves
into
the
reluctance
to
adopt
autonomous
vehicles
(AVs),
treating
AV
aversion
as
a
multifaceted
psychological
and
behavioral
phenomenon
encompassing
cognitive
judgments,
affective
responses,
intentions.
Leveraging
environment-product-human-behavior
framework,
an
model
(AAM)
is
developed
explore
human-AV
interaction.
Survey
data
from
MTurk
in
U.S.
reveals
significant
differences
perception
between
fully
(FAVs)
partially
(PAVs).
Findings
show
that
negative
media
exposure
influences
perceived
risk,
anxiety,
word-of-mouth
(WOM)
intention.
Perceived
risk
contributes
while
combination
of
anxiety
encourages
WOM
The
elucidates
cascading
effect
perception,
then
culminating
WOM.
Multi-group
analysis
highlights
disparity
FAVs
PAVs
link
Understanding
offers
valuable
insights
address
