Journal of Hospitality and Tourism Technology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 7, 2025
Purpose
The
integration
of
technology
in
the
cruise
ship
industry
offers
tourists
a
valuable
opportunity
to
engage
with
robotic
services
and
entertainment
while
on
board.
This
research
aims
explore
how
cruisers’
perceived
enjoyment
significantly
influences
disconfirmation
emotional
appeal
robots.
Design/methodology/approach
In
total,
500
cruisers
traveling
from
Florida,
who
had
experiences
Royal
Caribbean
Mediterranean
Shipping
Company
(MSC)
ships,
participated
data
collection
through
online
platform
Prolific,
reputable
for
academic
large
diverse
participant
pool;
404
sets
were
analyzed
partial
least
squares-structural
equation
model.
Findings
findings
underscore
positive
impact
travelers’
enjoyable
robots
not
only
enhance
their
but
also
contribute
stronger
effect.
Moreover,
customer
engagement
was
found
moderate
relationship
between
positively,
impacting
overall
satisfaction
travelers.
Originality/value
takes
unique
approach
subject,
offering
sentiment-based
understanding
ships.
Its
novel
perspective
these
makes
it
compelling
read
those
interested
intersection
hospitality.
Psychology and Marketing,
Journal Year:
2024,
Volume and Issue:
41(4), P. 880 - 898
Published: Jan. 4, 2024
Abstract
While
consumer
engagement
(CE)
in
the
context
of
artificially
intelligent
(AI‐based)
technologies
(e.g.,
chatbots,
smart
products,
voice
assistants,
or
autonomous
cars)
is
gaining
traction,
themes
characterizing
this
emerging,
interdisciplinary
corpus
work
remain
indeterminate,
exposing
an
important
literature‐based
gap.
Addressing
gap,
we
conduct
a
systematic
review
89
studies
using
Preferred
Reporting
Items
for
Systematic
reviews
and
Meta‐Analyses
(PRISMA)
approach
to
synthesize
AI‐based
CE
literature.
Our
yields
three
major
CE,
including
(i)
Increasingly
accurate
service
provision
through
;
(ii)
Capacity
(co)create
consumer‐perceived
value
,
(iii)
CE's
reduced
effort
their
task
execution
.
We
also
develop
conceptual
model
that
proposes
antecedents
personal,
technological,
interactional,
social,
situational
factors,
consequences
consumer‐based,
firm‐based,
human‐AI
collaboration
outcomes.
conclude
by
offering
pertinent
implications
theory
development
future
research
questions
derived
from
proposed
CE)
practice
reducing
costs
brand/firm
interactions).
Advances in hospitality, tourism and the services industry (AHTSI) book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 128 - 147
Published: June 3, 2024
The
research
on
smart
tourism
experiences
that
take
into
account
the
responsible
behavior
of
travelers
is
booming.
relationship
between
development
memorial
consumer
and
promotion
a
highly
sought-after
area
research.
This
especially
true
regarding
potential
use
emerging
technology
solutions
to
enhance
services,
improve
customer
smartness,
predict
behavior,
increase
satisfaction
loyalty.
purpose
this
investigate
how
advancement
can
promote
among
customers
businesses
destinations.
chapter
presents
systematic
review
literature
interaction
experience
traveler
in
context
transformation
through
digital
platforms.
Journal of Retailing and Consumer Services,
Journal Year:
2024,
Volume and Issue:
77, P. 103666 - 103666
Published: Jan. 3, 2024
This
study
examines
the
impact
of
rapport
with
chatbots
on
electronic
word
mouth
(e-WOM),
in
first
phase,
by
considering
several
antecedents
including
anthropomorphism.
In
second
deeper
insights
are
provided
into
moderated
mediation
role
and
moderation
effect
value
creation
hedonic
motivation
e-WOM
engagement.
With
tourism
services
as
research
context,
a
survey
was
conducted
among
257
visitors
from
three
countries
(China,
India
New
Zealand),
selected
due
to
their
diverse
cultural
backgrounds
higher
number
inbound
Australia.
The
partial
least
squares
method
used
for
data
analysis
along
multi-group
analysis.
Findings
report
positive
anthropomorphism
developing
digital
interactions.
Interestingly,
had
highest
China
followed
India.
only
significant
China,
whereas
moderator
both
Zealand.
extends
social
exchange
theory
human–chatbot
or
artificial
intelligence
(AI)
interaction
context
implications.
findings
useful
organizations
relying
customer
AI-based
ensure
long-term
service
through
International Journal of Consumer Studies,
Journal Year:
2023,
Volume and Issue:
48(1)
Published: Sept. 27, 2023
Abstract
The
notion
of
‘anthropomorphism’
has
been
a
subject
intrigue
for
transdisciplinary
academics
and
scholars
the
longest
time,
as
origin
this
concept
dates
back
to
BCE
(Before
Common
Era).
Over
past
few
decades,
anthropomorphism
literature
burgeoning
in
marketing
discipline
its
subfields
(branding,
advertising,
consumer
behaviour,
etc.).
This
relatively
novel
stream
adopts
offers
fascinating
insights
into
consumers
their
choices,
intentions.
Although
there
have
several
qualitative
review‐based
assessments
within
field,
none
informed
by
quantitative
tools
or
through
framework‐based
approach.
Our
hybrid
variant
systematic
review
fills
gap
using
bibliometric
techniques
(performance
analysis,
co‐authorship
analysis
countries
authors,
co‐word
keywords)
Theories‐Context‐Characteristics‐Methods
(TCCM)
framework
show
evolution
,
trends
intellectual
structure
behaviour
research.
We
depict
evolving
trajectory
over
time
sample
432
peer‐reviewed
journal
articles
27,671
secondary
references
(between
2005
2023)
on
behaviour.
Significant
results
include
identifying
describing
most
influential
articles,
journals
countries,
different
research
streams,
development,
future
directions.
also
present
six
knowledge
clusters
delineating
field.
An
additional
section
depicting
theories
employed,
characteristics
explored,
contexts
examined,
methods
utilized
domain
presented.
Furthermore,
we
used
TCCM
orchestrate
possible
trajectories
By
doing
this,
offer
practitioners
comprehension
advancements
comprehensive
road
map
Journal of Hospitality Marketing & Management,
Journal Year:
2024,
Volume and Issue:
33(6), P. 763 - 783
Published: Jan. 27, 2024
Robotic
interaction
quality
and
outcome
in
restaurants
are
crucial
engaging
customers
facilitating
post-purchase
behavior
while
few
papers
have
examined
their
impact
on
psychological
engagement
value
co-creation
by
experienced
customers.
Drawing
upon
the
affordance
theory
interlinking
service-dominant
logic,
this
study
has
investigated
robotic
restaurant
context
using
empirical
data
collected
from
487
respondents
China
adopting
structural
equation
modeling
to
investigate
relevant
impacts.
The
findings
show
that
positively
affect
engagement,
whereas
only
influences
co-creation.
There
positive
relationships
between
customers'
co-creation,
intention
recommend
restaurant.
We
also
discussed
theoretical
managerial
implications.
Journal of Services Marketing,
Journal Year:
2024,
Volume and Issue:
38(5), P. 619 - 635
Published: Feb. 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.
Marketing Intelligence & Planning,
Journal Year:
2024,
Volume and Issue:
42(7), P. 1141 - 1168
Published: May 20, 2024
Purpose
With
the
advancement
of
digital
transformation,
it
is
important
for
e-retailers
to
use
artificial
intelligence
(AI)
customer
engagement
(CE),
as
CE
enables
e-retail
brands
succeed.
Essentially,
AI
e-marketing
(AIeMktg)
technological
approaches
in
by
blending
data,
and
Retail
4.0
digitisation
physical
shopping
experience.
Therefore,
era
4.0,
this
study
investigates
factors
influencing
AIeMktg
transforming
CE.
Design/methodology/approach
The
primary
data
were
collected
from
305
e-retailer
customers,
analysis
was
performed
using
a
quantitative
methodology.
Findings
results
reveal
that
has
tremendous
applications
First,
marketers
swiftly
responsibly
anticipate
predict
demands
provide
relevant
personalised
messages
offers
with
location-based
e-marketing.
Second,
through
continuous
feedback
loop,
improves
offerings
analysing
incorporating
insights
360-degree
view
Originality/value
main
contribution
theoretical
underpinnings
CE,
AIeMktg,
commitment
4.0.
Subsequently,
builds
validates
structural
relationships
among
such
underpinning
variables
which
customers
expect
different
type
experience
across
channels.
International Journal of Tourism Research,
Journal Year:
2024,
Volume and Issue:
26(4)
Published: July 1, 2024
Abstract
The
use
of
technology
in
tourism
is
increasing
day
by
day.
Service
robots
are
now
on
the
agenda.
success
developments
that
envisage
a
new
experience
for
consumer
tourists
depends
accurate
prediction
tourists'
possible
attitudes
and
behaviors
influencing
antecedents.
This
study
examined
usage
intentions
towards
service
multidimensional
basis
anthropomorphism
technological
readiness
(TR).
A
survey
was
conducted
with
1018
Türkiye
face‐to‐face
using
QR
codes.
Findings
showed
attitude
(AR)
mediated
relationship
between
anthropomorphism,
intention
to
(IS).
Participating
anthropomorphically
focused
physical
appearance
rather
than
their
functions
internal
structures.
robot
still
limited
industry.
Therefore,
empirical
results
obtained
guiding
theory
practice
terms
academic
studies
providers.
Advances in hospitality, tourism and the services industry (AHTSI) book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 277 - 310
Published: Oct. 15, 2024
In
today's
turbulent
and
hyper-connected
global
environment,
the
integration
of
emerging
technologies
has
become
a
necessity
rather
than
choice.
The
aim
this
research
is
to
identify
trends,
benefits,
challenges,
practical,
theoretical
implications
artificial
intelligence
on
tourism
experience,
focusing
attention
transformative
potential
AI.
With
perspective,
authors
propose
rigorous
systematic
literature
review
following
PRISMA
protocol.
results
analysis,
carried
out
using
Nvivo
software,
reveal
growing
role
impact
in
enhancing
experience.