Exploring new realms or losing touch? Assessing public beliefs about tourism in the metaverse–a big-data approach
Ali B. Mahmoud,
No information about this author
Leonora Fuxman,
No information about this author
Yousra Asaad
No information about this author
et al.
International Journal of Contemporary Hospitality Management,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 13, 2024
Purpose
The
Metaverse
is
rapidly
reshaping
the
understanding
of
tourism,
yet
public
perception
this
new
domain
remains
largely
uncharted
empirically.
This
paper
aims
to
build
on
technology
acceptance
model
(TAM)
and
diffusion
innovations
theory
(DIT)
fill
gap,
offering
crucial
insights
that
could
inform
scholars
practitioners
in
both
tourism
sectors.
Design/methodology/approach
Using
a
big-data
approach,
authors
applied
machine
learning
scrape
comments
made
by
social
media
users
recent
popular
posts
or
videos
related
from
three
prominent
platforms.
cleaning
process
narrowed
down
15,461
2,650,
which
were
then
analysed
using
thematic,
emotion
sentiment
analysis
techniques.
Findings
thematic
revealed
virtual
evokes
complex
range
beliefs.
While
many
express
awe
excitement
toward
its
immersive
capabilities,
others
remain
sceptical
about
authenticity
compared
physical
travel.
Additional
themes
show
people
draw
comparisons
real-world
discuss
technology’s
role
note
educational
value
novelty.
However,
some
raise
concerns
potential
societal
harms,
exploitation
mental
health
impacts.
Sentiment
found
over
half
positive,
though
negative.
Emotion
showed
contentment,
happiness
as
most
frequent,
sadness,
worry
loneliness
also
featured.
Overall,
perceptions
encompass
enthusiasm
substantial
ambivalence.
Originality/value
To
best
authors’
knowledge,
study
one
first
comprehensively
analyse
discussions
tourism.
It
takes
TAM
Rogers’s
DIT
step
further
provides
fresh
into
how
these
theories
can
be
employed
emerging
field
conceptual
multidimensional
factors
shaping
beliefs
thus
informing
scholarly
research
interaction
regarding
In
addition,
results
help
providers,
platforms
marketers
address
salient
sentiments/attitudes
developing
marketing
offerings,
experiences
communications.
Over
time,
methodology
used
track
evolving
Language: Английский
Digital Marketing Analytics in Sports
Published: Jan. 1, 2024
Language: Английский
Analysing the public's beliefs, emotions and sentiments towards Metaverse workplace: A big-data qualitative inquiry
Acta Psychologica,
Journal Year:
2024,
Volume and Issue:
250, P. 104498 - 104498
Published: Sept. 19, 2024
Language: Английский
A cross-country analysis of self-determination and continuance use intention of AI tools in business education: Does instructor support matter?
Egena Ode,
No information about this author
Rabake Nana,
No information about this author
Irene O. Boro
No information about this author
et al.
Computers and Education Artificial Intelligence,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100402 - 100402
Published: April 1, 2025
Language: Английский
The proof is in the pudding: public beliefs, emotions and sentiments on drone deliveries in extreme contexts
European Journal of Marketing,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 9, 2025
Purpose
The
rapid
advancement
of
drone
technology
has
opened
up
a
new
frontier
in
package
delivery,
presenting
promising
solution
for
logistics
and
transportation
challenges.
However,
there
remains
significant
gap
identifying
the
public’s
belief
structure
regarding
adoption
this
extreme
contexts,
such
as
natural
disasters
or
remote
areas.
This
study
aims
to
fill
research
by
investigating
public
beliefs,
emotions
sentiments
towards
deliveries
these
high-risk
scenarios,
where
traditional
delivery
methods
are
often
impractical
unavailable.
Design/methodology/approach
Using
big
data
approach,
authors
applied
machine
learning
scrape
comments
made
social
media
users
on
recent
popular
posts
videos
related
from
Reddit
YouTube.
cleaning
process
narrowed
down
6,403
2,337,
which
were
then
analysed
using
thematic,
emotion
sentiment
analysis
techniques.
Findings
thematic
revealed
five
key
themes
structure:
safety
security
concerns,
scepticism
distrust,
ethical
support
innovation
efficiency
concerns
about
practicality
feasibility.
Sentiment
showed
predominantly
negative
outlook
(53%),
with
confusion
(19.32%)
disappointment
(14.26%)
being
most
prevalent
emotions.
positive
(45%)
curiosity
(9.08%)
approval
(4.51%)
indicate
cautious
optimism
interest
potential
benefits
deliveries.
Research
limitations/implications
Future
should
expand
sources
include
Twitter,
Facebook
Instagram
broader
insights.
Differentiating
between
e.g.
disasters,
pandemics
conflict
zones,
can
reveal
varying
perceptions.
Investigating
how
influence
actual
behaviours
through
longitudinal
designs
field
experiments
is
essential.
Developing
theoretical
models
that
integrate
unique
factors
like
implications
existing
frameworks
will
enhance
understanding.
In
addition,
large-scale
quantitative
surveys
needed
generalise
findings
across
different
populations
contexts.
Practical
have
practical
policymakers,
developers
marketers.
Addressing
safety,
while
highlighting
help
build
trust
acceptance.
Transparent
communication
robust
regulatory
essential
successful
systems.
Originality/value
To
best
authors’
knowledge,
one
first
systematically
analyse
discussions
It
extends
Unified
Theory
Acceptance
Use
Technology
2
Diffusion
Innovations
theories,
providing
fresh
insights
into
influencing
acceptance
technologies.
results
offer
valuable
guidance
developing
effective
policies
strategies
systems,
contributing
reinvention
marketing
disruptive
economy.
Language: Английский