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.
Sustainability,
Год журнала:
2024,
Номер
16(8), С. 3172 - 3172
Опубликована: Апрель 10, 2024
This
study
investigates
the
perceptions
of
employees
in
hotel
industry
Republic
Serbia
regarding
acceptance
and
importance
artificial
intelligence
(AI).
Through
a
modified
UTAUT
model
application
structural
equation
analysis
(SEM),
we
investigated
key
factors
shaping
AI
acceptance.
Research
results
show
that
behavioral
intention
habit
significant
positive
impact
on
usage
behavior,
while
facilitating
conditions
have
limited
but
measurable
intention.
Other
factors,
including
social
influence,
hedonic
motivation,
performance
expectancy,
effort
minimal
influence
examined
variables.
The
reveals
crucial
mediating
role
intention,
effectively
bridging
gap
between
various
predictors
thereby
highlighting
its
significance
broader
context
technology
adoption
industry.
primary
goal
study,
which
closes
research
gaps,
as
well
manner
it
uses
specific
statistical
to
accomplish
this
goal,
shows
how
innovative
work
is.
method
not
only
broadens
field’s
understanding
also
offers
valuable
insights
for
sustainable
development
practices
hospitality
sector
Serbia.
Heliyon,
Год журнала:
2024,
Номер
10(3), С. e25031 - e25031
Опубликована: Янв. 24, 2024
Online
shopping
has
various
advantages,
such
as
convenience,
easy
access
to
information,
a
greater
variety
of
products
or
services,
discounts,
and
lower
prices.
However,
the
absence
salespeople's
personalized
assistance
decreases
online
customer
experience.
Business-to-consumer
e-commerce
companies
are
increasingly
implementing
assistants
(OSAs),
interactive
automated
tools
used
assist
customers
without
assistance.
no
comprehensive
model
OSA
acceptance
in
exists,
including
constructs
from
multiple
information
system
disciplines,
sociopsychology,
security.
This
study
aims
fill
these
gaps
by
empirically
investigating
consumers'
intention
accept
OSAs
functional,
social,
relational,
security
perspective.
It
identifies
factors
through
an
extensive
literature
review
expert
opinion.
A
research
is
proposed
after
identifying
structural
relationships
among
study's
variables
literature.
The
employs
partial
least
squares-structural
equation
modeling
(PLS-SEM)
validate
empirically.
results
indicate
that
anthropomorphism,
attitude,
ease
use,
enjoyment,
privacy,
trust,
usefulness
crucial
determinants
variables.
There
significant
moderating
effects
respondents'
gender
education
on
acceptance.
have
substantial
implications
for
academia,
extending
validating
Technology
Acceptance
Model
(TAM)
e-commerce.
will
help
marketers
develop
optimal
adoption
strategies
when
social
media
platforms.
Journal of service management,
Год журнала:
2024,
Номер
35(3), С. 438 - 458
Опубликована: Март 18, 2024
Purpose
In
an
era
where
complex
technological
advances
increasingly
govern
service
delivery,
it
is
incumbent
on
firms
to
pioneer
innovative
strategies
sustain
customer
engagement
and
cultivate
loyalty.
This
conceptual
paper
examines
the
transformative
potential
of
artificial
intelligence
(AI)
in
realm
online
communities,
with
a
particular
focus
its
creation,
management
enhancement
facets.
The
authors
explore
how
AI
can
revolutionize
dynamics
interaction,
feedback
mechanisms
overall
within
industry.
Design/methodology/approach
draws
from
marketing
literature
focusing
communities
contexts
robust
future
research
agenda.
Findings
A
classification
community
provided
along
framework
guide
our
understanding
integration
into
communities.
Originality/value
exploration
underscores
imperative
for
embrace
AI-driven
approaches
management,
not
only
as
means
optimize
their
operations
but
vital
strategy
stay
competitive
ever-evolving
digital
landscape.
novel
combination
provides
form
input-process-output
(IPO)
model
this
integration.
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.
