International Journal of Quality and Service Sciences,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 2, 2025
Purpose
This
paper
aims
to
explore
the
antecedents
of
service
robots’
adoption
at
restaurants
in
India,
specifically
focusing
on
Gen
Z
customers.
study
sheds
light
customer
preferences
getting
served
by
robots
with
moderating
role
human
preference
and
perceived
job
lose
orientation
dine-in
Design/methodology/approach
Primary
data
was
collected
from
customers
using
purposive
sampling
prime
cities
South
(
n
=
363)
North
India
303).
The
perceptions
respondents
towards
were
analysed
SmartPLS
3.3.9.
Findings
findings
suggest
that
performance
expectancy,
effort
social
influence,
facilitating
conditions,
hedonic
motivations
price
value
significantly
determine
acceptance
consumers.
However,
such
direct
associations
are
moderated
Z’s
loss.
Furthermore,
demographic
factors
like
respondents’
location,
i.e.
north
south,
affect
their
preferences.
Originality/value
research
provides
more
insights
into
dining
terms
variables
job-saving
based
which
managers
can
design
people,
processes
physical
evidence
strategies
restaurant
mix.
International Journal of Contemporary Hospitality Management,
Год журнала:
2024,
Номер
36(9), С. 3151 - 3167
Опубликована: Янв. 17, 2024
Purpose
This
study
aims
to
compares
the
effects
of
different
human-like
appearances
(low
vs.
medium
high)
service
robots
(SRs)
on
consumer
trust
in
(CTSR),
examines
mediating
role
perceived
warmth
(WA)
and
competence
(CO)
demonstrates
moderating
culture
setting.
Design/methodology/approach
The
research
design
includes
three
scenario-based
experiments
(Chinese
hotel
setting,
American
Chinese
hospital
setting).
Findings
Study
1
found
SR’s
appearance
can
arouse
anthropomorphism
(PA),
which
positively
affects
CTSR
through
parallel
mediators
(WA
CO).
2
revealed
consumers
from
(vs.
American)
had
higher
CTSR.
3
showed
WA
CO
for
SRs
credence
experience)
authors
also
an
exploratory
analysis
uncanny
valley
phenomenon.
Practical
implications
findings
have
practical
promoting
diffusion
hospitality
industry.
Managers
increase
by
augmenting
anthropomorphic
SRs;
however,
they
must
consider
differences
this
effect
across
all
recipients
(consumers
cultures)
settings.
Originality/value
introduce
as
between
PA
set
setting
moderators.
International Journal of Contemporary Hospitality Management,
Год журнала:
2023,
Номер
36(6), С. 1744 - 1765
Опубликована: Июнь 20, 2023
Purpose
With
the
trend
of
adopting
and
studying
artificial
intelligence
(AI)
service
robots
at
restaurants,
authors’
understanding
how
customers
perceive
differently
across
restaurant
segments
remains
limited.
Therefore,
building
upon
expectancy
theory,
this
study
aims
to
propose
a
trust-based
mechanism
explain
customers’
support
for
AI-based
robots.
Design/methodology/approach
For
cross-segment
validation,
data
were
collected
from
online
survey
participants
under
scenarios
experiencing
AI
in
luxury
(
n
=
428),
fine-dining
420),
casual
409)
quick-service
410)
scenarios.
Findings
In
all
four
segments,
trust
technology
increased
willingness
accept
robots,
which
was
then
positively
related
Meanwhile,
performance
mediated
relationship
between
On
other
hand,
luxury,
males
perceived
stronger
positive
expectancy.
No
generational
differences
found
Originality/value
To
best
knowledge,
is
one
first
attempts
hospitality
research
examine
validation
responses
fine-dining,
segments.
Journal of theoretical and applied electronic commerce research,
Год журнала:
2023,
Номер
18(2), С. 889 - 907
Опубликована: Апрель 25, 2023
Interior
design
industries
have
evolved
to
adopt
advanced
digital
and
interactive
virtual
reality
(IVR)
technologies
for
promotion.
Marketing
using
a
platform
with
interior
feature
is
an
approach
that
enables
not
only
the
building
up
of
positive
image
firm
but
also
allows
customers
experience
home
intuitively
on
platform.
This
study
researched
relationship
between
three
factors
aesthetics,
ease
use,
information
quality
in
marketing
consumer
satisfaction.
Data
from
120
respondents
were
collected
via
internet.
The
results
generated
structural
equation
modelling
indicated
above
positively
influence
customer
satisfaction
empowered
IVR
design.
It
was
found
has
most
among
factors.
Despite
numerous
scholars
having
conducted
in-depth
research
marketing,
existing
lacks
perspective
examining
what
significant
impact
consumers.
Moreover,
relatively
little
work
been
determine
customer’s
perceptions
towards
its
features.
A
theoretical
model
features
thus
proposed.
Journal of Hospitality Marketing & Management,
Год журнала:
2024,
Номер
unknown, С. 1 - 23
Опубликована: Июнь 19, 2024
While
the
presence
of
term
"Artificial
Intelligence
(AI)"
in
a
product
description
may
be
viewed
as
sign
that
having
advanced
capabilities
and
features,
it
also
trigger
fear
concern
among
consumers.
Therefore,
this
study
explores
impact
inclusion
(vs.
exclusion)
Intelligence"
goods
service
descriptions
on
consumers'
purchase
intentions.
It
examines
mediating
role
emotional
trust
moderating
perceived
risk
relationship.
We
conducted
six
experiments
to
investigate
these
relationships.
The
data
were
analyzed
using
T-tests
Hayes
Process
Macro
Models
4
7.
findings
indicated
products
services
decreases
intention,
mediates
Findings
further
suggested
negative
effect
AI
intention
was
stronger
for
high-risk
products,
compared
low-risk
products.
These
provide
valuable
insights
both
academia
practitioners,
leading
them
develop
more
effective
appealing
strategies
applications
AI.
Frontiers in Psychology,
Год журнала:
2024,
Номер
15
Опубликована: Апрель 17, 2024
The
rapid
advancement
of
artificial
intelligence
(AI)
has
impacted
society
in
many
aspects.
Alongside
this
progress,
concerns
such
as
privacy
violation,
discriminatory
bias,
and
safety
risks
have
also
surfaced,
highlighting
the
need
for
development
ethical,
responsible,
socially
beneficial
AI.
In
response,
concept
trustworthy
AI
gained
prominence,
several
guidelines
developing
been
proposed.
Against
background,
we
demonstrate
significance
psychological
research
identifying
factors
that
contribute
to
formation
trust
Specifically,
review
findings
on
interpersonal,
human-automation,
human-AI
from
perspective
a
three-dimension
framework
(i.e.,
trustor,
trustee,
their
interactive
context).
synthesizes
common
related
maintenance
across
different
types.
These
point
out
foundational
requirements
building
provide
pivotal
guidance
its
involves
communication,
education,
training
users.
We
conclude
by
discussing
how
insights
can
help
enhance
AI’s
trustworthiness
foster
adoption
application.
Journal of Services Marketing,
Год журнала:
2024,
Номер
38(5), С. 619 - 635
Опубликована: Фев. 20, 2024
Purpose
This
study
aims
to
apply
the
service
robot
acceptance
model
(sRAM)
examine
how
attitude
toward
human–robot
interaction
(HRI)
and
engagement
influence
consumer
of
robots
in
a
frontline
setting.
Design/methodology/approach
Data
was
collected
from
255
visitors
who
interacted
with
robotic
tour
guide
at
city
museum.
The
data
analyzed
using
smart
PLS
4.0.
Findings
findings
show
positive
effects
subjective
norms,
appearance,
perceived
trust
emotion
on
both
HRI
engagement.
In
addition,
social
capability
impacted
HRI,
whereas
usefulness
affected
Practical
implications
To
deliver
engaging
museum
experiences
that
bring
about
word-of-mouth
intention
visit,
managers
need
incorporate
sRAM
dimensions
design
deployment
robots.
Originality/value
research
uses
field
empirically
validate
context
acceptance.
It
introduces
as
novel
mediating
variable,
enriching
current
understanding
human-like
qualities
HRIs.
