Product design improvement method driven by online product reviews
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 25, 2025
Customer-centered
design
plays
a
crucial
role
in
achieving
sustainable
by
aligning
product
features
with
actual
customer
needs,
promoting
resource
efficiency,
and
supporting
environmental
protection.
To
better
meet
expectations
enhance
satisfaction,
improvement
method
driven
online
reviews
is
proposed.
By
leveraging
the
unique
characteristics
of
reviews,
opinions
are
systematically
integrated
into
process,
specific
integration
methods
developed
for
each
stage.
Using
target
competitive
products
as
inputs,
progresses
through
five
stages:
review
collection
attribute
extraction,
problem
identification
product,
analysis
case
knowledge
base
construction,
structural
solution
generation,
scheme
decision-making.
This
results
plan
that
addresses
both
needs
enterprise
goals.
The
feasibility
this
approach
was
demonstrated
study
involving
3D
printer
task.
Язык: Английский
Fusion of KANO theory and Attention-BiLSTM models for user demand analysis and trend prediction
Information Fusion,
Год журнала:
2025,
Номер
unknown, С. 103210 - 103210
Опубликована: Апрель 1, 2025
Язык: Английский
How to promote sustainable consumption and development of NEV? Decoding complex interrelationships in consumer requirements and design practice
Journal of Cleaner Production,
Год журнала:
2024,
Номер
unknown, С. 144524 - 144524
Опубликована: Дек. 1, 2024
Язык: Английский
Exploring dynamic customer requirement trend of buffet restaurant: a two-stage analysis from online reviews
British Food Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 28, 2024
Purpose
Customer
expectations
and
preferences
may
evolve
as
they
experience
more.
This
study
aims
to
analyze
the
dynamics
of
customer
requirements
(CRs)
familiarity
increases,
offering
insights
for
enhancing
product-service
quality.
Design/methodology/approach
categorizes
dynamic
into
two
conversion
stages:
from
new
repeat
customers
frequent
customers.
First,
crawl
online
reviews
(ORs)
determine
each
review’s
stage.
Second,
identify
attributes
conduct
aspect-level
sentiment
analysis.
Then,
examine
attribute’s
trend
direction
magnitudes
in
stages.
Finally,
a
dynamic-trend
importance-performance
analysis
(DTIPA)
model
is
developed
provide
strategies
optimizing
product
services.
Findings
identifies
eight
buffet
restaurants
with
varying
requirement
change
trends.
In
particular,
attention
“waiting
time,”
“variety
dishes,”
“cost
performance”
“taste”
decreases
first
second
stage,
“environment”
“freshness”
increase
differently
first.
Satisfaction
increases
stage
but
perception
Improvement
are
also
provided
based
on
these
Originality/value
Research
trends
ORs
scarce,
particularly
context
restaurants.
Moreover,
existing
methods
have
their
limitations.
proposes
novel
approach
progressive
exploration
extraction
evolving
CRs
ORs.
By
incorporating
magnitude
attributes’
importance
satisfaction,
DTIPA
form
restaurant
Язык: Английский