Asia Pacific Journal of Marketing and Logistics,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 16, 2024
Purpose
The
digital
marketing
landscape
is
rapidly
evolving,
but
the
integration
of
visual
content
still
heavily
depends
on
human
expertise.
Driven
by
quest
for
innovative
strategies
that
resonate
with
family-oriented
consumers,
this
study
seeks
to
bridge
gap
applying
machine
learning
analyze
in
maternity
and
baby
care
product
sector.
Design/methodology/approach
This
incorporates
a
range
techniques
–
including
open
science
framework
feature
detection,
panoptic
segmentation,
customized
instance
face
detection
calculation
methods
predict
appeal
images,
thereby
enhancing
user
engagement
parent-child
intimacy.
Findings
exploration
various
ML
models,
such
as
DT,
LightGBM,
RIPPER
algorithm,
CNNs,
has
offered
comparative
analysis
addresses
methodological
existing
literature,
which
frequently
isolated
model
evaluations.
According
our
quadrant
respect
rate
intimacy,
selection
real-world
applications
balancing
performance
interpretability.
Originality/value
proposed
system
offers
series
actionable
recommendations
designed
enhance
customer
foster
brand
loyalty.
contributes
image
design
provides
analytical
insights
recommendation
systems.
Humanities and Social Sciences Communications,
Год журнала:
2024,
Номер
11(1)
Опубликована: Март 1, 2024
Abstract
More
and
more
tourists
are
sharing
their
experiences
on
social
media
through
a
combination
of
photos,
texts,
hashtags.
But
there
is
scarcity
studies
in
literature
analyzing
tourists’
visual
content
relation
to
tourism
destinations.
To
address
this
gap
literature,
study
explores
how
with
whom
users
express
the
greatest
happiness
holiday
destinations,
they
share
it
community,
mixed
methods
approach
composed
analysis
images,
text,
metadata.
This
allows
us
objective
research,
which
prediction
felt
by
during
experience,
using
innovative
techniques
that
allow
independent
variables
be
obtained.
predict
tourist
satisfaction,
two
sources
data,
photos
analyzed:
novel
little
explored
but
necessary
due
interaction
both
variables.
applies
various
artificial
intelligence
analyses
(deep
learning),
textual
metadata
(machine
learning)
39,235
Instagram
posts
shared
since
emergence
thirteen
years
ago,
at
cultural
gastronomic
destination.
The
findings
showed
socialization
company,
is,
traveling
interacting
people,
was
key
aspect
positive
experience.
In
addition,
gender
people
traveled,
tourist’s
narcissism
were
also
aspects
generation
expression
emotions.
Regarding
content,
results
when
enjoyed
became
involved
words.
Purpose
This
research
aims
to
explore
the
mechanisms
and
conditions
that
motivate
diners
engage
in
foodstagramming.
It
focuses
on
intrinsic
versus
extrinsic
motivations,
role
of
dining
environment
facilitating
social
connection
commerce
intention.
Design/methodology/approach
Two
scenario-based
experiments
were
conducted
among
Chinese
participants.
Experiment
1
(
n
=
219)
used
a
one-factor
between-subjects
design
test
effect
foodstagramming
incentives
(intrinsic
vs
extrinsic)
2
529)
(foodstagramming
incentive:
intrinsic)
×
(environmental
attractiveness:
low
high)
examine
mediation
moderation
environmental
attractiveness.
Findings
Intrinsic
more
effectively
enhance
tourists’
intention
than
incentives.
The
attractiveness
moderates
this
relationship.
Extrinsic
significantly
boost
low-attractiveness
environments,
but
not
high-attractiveness
environments.
Social
serves
as
conditional
mediator.
Practical
implications
Restaurant
managers
should
prioritize
superior
service
culinary
offerings,
invest
appealing
environments
encourage
tourists
share
their
experiences,
leveraging
word-of-mouth
promotions.
In
less
attractive
settings,
external
like
coupons
or
discounts
can
promote
food
selfie-taking
sharing,
driving
Originality/value
study
offers
new
insights
into
highlighting
effectiveness
economic
influencing
behaviors.
expands
literature
by
explaining
commenting,
liking
repurchasing
