Do consumers concern about energy saving in purchasing energy-efficient home appliances? Evidence from online e-commerce review
Energy Policy,
Год журнала:
2024,
Номер
193, С. 114277 - 114277
Опубликована: Авг. 8, 2024
Язык: Английский
A comparative bibliometric analysis of pro-environmental behavior research in Chinese journals and Japanese international journals
Environment Development and Sustainability,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 15, 2025
Язык: Английский
The impacts of environmental benefit concern of enterprises on competitive supply chain economic and environmental benefits
Applied Energy,
Год журнала:
2024,
Номер
374, С. 124016 - 124016
Опубликована: Июль 26, 2024
Язык: Английский
Enhancing Aspect-Based Sentiment Analysis Through Multi-Granularity Information Sharing
N Ilayaraja,
S. Yuvaraj,
Rini Chowdhury
и другие.
Опубликована: Июль 26, 2024
Язык: Английский
The role of online consumer reviews in shaping Chinese consumers' purchase intentions for energy-saving household appliances: a social communication theory perspective
Discover Sustainability,
Год журнала:
2024,
Номер
5(1)
Опубликована: Ноя. 26, 2024
With
the
primary
sales
channels
for
home
appliances
in
China
shifting
from
offline
to
online,
e-commerce
platforms
hold
significant
potential
promote
purchase
of
energy-saving
appliances.
Therefore,
this
study
investigates
factors
influencing
consumers'
intentions
context
online
review
interactions.
Based
on
social
communication
theory,
we
identified
four
key
elements
communication:
information
quality,
quantity,
source
credibility,
and
consumer
attitudes
toward
review.
Additionally,
analyzed
mediating
role
perceived
usefulness
moderating
processing
capability.
Data
were
gathered
by
using
a
structured
questionnaire,
respondents
are
comprised
consumers
with
experience
purchasing
online.,
PLS-SEM
was
employed
analysis
data.
The
findings
suggest
that
credibility
reviews,
as
well
towards
directly
influence
customers'
Moreover,
quantity
impacts
intention
through
usefulness.
effect
capability
relationship
between
reviews
is
also
confirmed.
results
explain
formation
mechanism
willingness
buy
perspective
dissemination,
which
offers
valuable
insights
marketers
aiming
comprehend
decision-making
processes.
Язык: Английский
Comparative analysis of multi-platform e-commerce online reviews based LDA and sentiment dictionary
International Journal of Intelligent Computing and Cybernetics,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 13, 2024
Purpose
This
study
aims
to
investigate
the
differences
in
consumer
reviews
across
multiple
e-commerce
platforms
better
assist
consumers
making
informed
decisions.
By
examining
specific
content
of
these
differentiated
reviews,
seeks
provide
insights
that
can
enhance
services
and
improve
satisfaction.
Design/methodology/approach
The
research
utilizes
latent
Dirichlet
allocation
(LDA)
method
for
text
analysis
identify
varying
concerns
different
same
product.
Additionally,
expands
sentiment
dictionary
address
polysemy
issues,
allowing
a
more
precise
capture
among
consumers.
A
non-parametric
test
is
employed
compare
platforms,
providing
comprehensive
review
disparities.
Findings
findings
reveal
sentiments
vary
significantly
even
combination
testing
highlights
objectivity
research,
offering
valuable
evidence
recommendations
improving
enhancing
shopping
experience.
Originality/value
original
its
approach
combining
with
examine
multi-platform
differences.
not
only
contributes
understanding
behavior
context
but
also
provides
practical
suggestions
consumers,
aiming
optimize
service
quality
Язык: Английский