Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(6), P. 3184 - 3184
Published: March 14, 2025
With
the
rapid
integration
of
artificial
intelligence
(AI)
technologies
in
field
education,
public
sentiment
towards
this
development
has
gradually
emerged
as
an
important
area
research.
This
study
focuses
on
analysis
online
opinions
regarding
application
AI
education.
Python
was
used
to
scrape
relevant
comments
from
various
provinces
China.
Using
SnowNLP
algorithm,
sentiments
were
classified
into
three
categories:
positive,
neutral,
and
negative.
The
primarily
analyzes
spatial
distribution
characteristics
positive
negative
sentiments,
with
a
visualization
results
through
Geographic
Information
Systems
(GIS).
Additionally,
Moran’s
I
Getis-Ord
Gi*
are
introduced
detect
autocorrelation
attitudes.
Furthermore,
by
constructing
multivariable
geographical
detector
model
MGWR,
explores
impact
factors
such
digital
economy,
construction
smart
cities,
local
government
policy
attention,
literacy
residents,
level
education
infrastructure
research
will
reveal
regional
disparities
education-related
its
driving
mechanisms,
providing
data
support
empirical
references
for
optimizing
Journal of Retailing and Consumer Services,
Journal Year:
2024,
Volume and Issue:
78, P. 103746 - 103746
Published: Feb. 1, 2024
In
an
age
where
online
shopping
permeates
daily
life,
the
cascading
influences
originating
from
parasocial
interactions
play
a
pivotal
role
in
steering
consumers'
purchase
decisions.
This
research
delves
deep
into
interplay
of
interaction,
vicarious
expression,
electronic
word-of-mouth
(eWOM),
and
bandwagon
effect,
all
converging
towards
influencing
intention.
Through
two
controlled
quasi-experiments—with
232
participants
Study
1
252
2—we
offer
fresh
perspective
rooted
relationship
theory.
delineates
how
heighten
impact
expressions,
leading
to
amplified
effect
pronounced
eWOM.
The
study
further
corroborates
mediating
expression
between
interaction
effect.
2
sheds
light
on
cyclical
nature
this
process,
illustrating
that
eWOM,
turn,
reinforces
driving
These
findings
underscore
potent
influence
purchasing
behaviors,
suggesting
brands
can
strategically
leverage
such
enhance
eWOM
harness
Moreover,
recognizing
reinforcement
offers
marketers
unique
opportunity
amplify
sustain
momentum.
Energies,
Journal Year:
2024,
Volume and Issue:
17(13), P. 3111 - 3111
Published: June 24, 2024
Emerging
economies
and
ecosystems
rely
heavily
on
fossil
fuels,
a
country’s
energy
dependence
is
strong
indicator
of
its
reliance
foreign
suppliers.
This
study
investigates
the
impact
intensity,
CO2
emission
exploitation
renewable
resources
in
35
developing
20
developed
nations.
It
also
explores
correlation
between
energy,
GDP
growth,
emissions.
utilizes
Generalized
Linear
Model
(GLM)
Robust
Least
Squares
(RLS)
method
to
investigate
negative
policymakers
established
emerging
economies.
employs
distinctive
linear
panel
estimation
techniques
spanning
from
1970
2022.
examines
economic
consumption,
emissions
across
four
continents.
Developing
countries
see
an
increase
per
capita
when
their
utilization
exceeds
capacity.
Even
with
introduction
several
proxies
for
use
using
changed
techniques,
this
discovery
remains
valid.
Moreover,
particularly
crucial
industrialized
nations
well-established
institutions.
Energy
dependency
has
increased
carbon
intensity
needed
expansion
all
components,
which
surprising.
The
regional
discovered
spillover
most
regions,
indicating
that
consequences
are
similar
neighboring
countries.
Regional
exchange
unions
play
vital
role
reducing
adverse
environmental
impacts
dependence,
essential
growth
sector
decrease
greenhouse
gas
Undeveloped
need
enhance
investment
research
development
advance
technologically.
