International Journal of Systems Science Operations & Logistics,
Год журнала:
2023,
Номер
11(1)
Опубликована: Дек. 26, 2023
Market
competitiveness
and
waste
pollution
are
the
two
biggest
problems
facing
modern
world.
The
first
one
may
be
handled
with
appropriate
production
marketing
tactics,
while
last
can
reclaimed
by
recycling
any
unused
products
employing
disposable
items
that
environmentally
friendly.
This
study
employs
both
integrated
decentralised
frameworks
to
evaluate
forward
reverse
supply
chain
rivalry
in
a
closed-loop
dual-channel
for
sustainable
products.
Competition
on
buy-back
prices
is
also
studied
beyond
price
competition
chain.
Two
collectors
collect
used
goods
under
buyback
competition,
then
screen
them,
ship
them
back
manufacturer.
When
they
generate
their
using
recycled
new
raw
materials,
manufacturers
impose
proper
environmental
requirements.
manufacturer
retailer,
respectively,
use
online
conventional
distribution
channels
market
primary
goal
of
article
investigate
pricing,
green
innovation
level,
strategies
players'
optimal
gains
various
scenarios.
reveals
if
acceptance
rate
surpasses
certain
thresholds
following
screening
acquired
usable
items,
all
participants
benefit.
Manufacturer-collector
partnerships
reduce
more
effectively
than
retailer-collector
alliances,
however,
collectors'
profits
suffer.
International Journal of Systems Science Operations & Logistics,
Год журнала:
2024,
Номер
11(1)
Опубликована: Авг. 18, 2024
This
paper
inquires
about
a
dual-channel
closed-loop
supply
chain
of
green
products
containing
three
members.
The
manufacturer
sells
online
and
in
retail
channels,
whereas
he
offers
retailers
discount
on
wholesale
prices
the
channel.
In
reverse
flow,
recycler
retailer
collect
used
through
respectively.
extra
collection
efforts.
After
collection,
recycles
them
as
raw
material
components
to
manufacturer.
produces
new
using
recycled
materials.
crux
this
study
lies
finding
optimal
decisions
prices,
greening
level
effort
under
centralised
decentralised
scenarios.
results
are
illustrated
with
numerical
examples,
highlighting
importance
these
chain.
Additionally,
sensitivity
analysis
is
accomplished
ascertain
relevance.
paper's
managerial
implications
indicate
that
profit
highest
all
vertical
Nash
scenario
suits
retailer,
Stackelberg
game
appropriate
for
Collection
efforts
help
consistently
gather
more
than
retailers,
higher
ensures
profits.
Again,
discounts
up
specific
threshold,
benefit
channel
members
except
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Окт. 15, 2024
Strategic
supply
chain
management
(SCM)
is
essential
for
organizations
striving
to
optimize
performance
and
attain
their
goals.
Prediction
of
distribution
cost
(SCMDC)
one
branch
SCM
it's
For
this
purpose,
four
machine
learning
algorithms,
including
random
forest
(RF),
support
vector
(SVM),
multilayer
perceptron
(MLP)
decision
tree
(DT),
along
with
deep
using
convolutional
neural
network
(CNN),
was
used
predict
analyze
SCMDC.
A
comprehensive
dataset
consisting
180,519
open-source
data
points
make
the
structure
each
algorithm.
Evaluation
based
on
Root
Mean
Square
Error
(RMSE)
Correlation
coefficient
(R2)
show
CNN
model
has
high
accuracy
in
SCMDC
prediction
than
other
models.
The
algorithm
demonstrated
exceptional
test
dataset,
an
RMSE
0.528
R2
value
0.953.
Notable
advantages
CNNs
include
automatic
hierarchical
features,
proficiency
capturing
spatial
temporal
patterns,
computational
efficiency,
robustness
variations,
minimal
preprocessing
requirements,
end-to-end
training
capability,
scalability,
widespread
adoption
supported
by
extensive
research.
These
attributes
position
as
preferred
choice
precise
reliable
predictions,
especially
scenarios
requiring
rapid
responses
limited
resources.
Journal of Consumer Behaviour,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 5, 2025
ABSTRACT
Advancing
technologies
have
led
to
structural
change
in
production
methods,
influencing
not
only
business
practices
but
also
significantly
reshaping
consumer
mindsets.
Businesses
increasingly
utilise
cues,
such
as
‘handmade’,
differentiate
their
products
and
foster
engagement.
While
prior
studies
demonstrate
that
cues
can
affect
responses,
it
remains
unclear
how
the
impact
of
these
(e.g.,
handmade
vs.
machine‐made)
differs
between
segments.
Marketers
remain
uncertain
about
strategically
leverage
effects
across
profiles
product
portfolios.
Addressing
this
gap,
research
applies
regulatory
mode
theory,
providing
a
nuanced
understanding
cues'
on
engagement,
with
focus
locomotion
mode.
Study
1,
an
online
survey
experiment,
presents
moderated
mediation
analysis:
while
effect
willingness
pay
is
mediated
through
love,
varies
consumers'
(low
high).
2
extends
findings
automated
text
analysis
social
media
data
(
n
=
9380),
validating
moderating
role
real‐world
context
by
analysing
marketer‐generated
content
Facebook
posts.
The
both
confirm
our
predictions
elicit
distinct
engagement
responses
depending
segments:
high‐locomotion
consumers,
who
value
efficiency,
show
diminished
cues.
This
advances
theory
cue
offering
novel
insights
provides
marketers
actionable
implications
for
segmentation
targeted
communication.
Waste Management & Research The Journal for a Sustainable Circular Economy,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 15, 2025
Promoting
refurbished
products
can
positively
impact
environmental
performance
and
play
a
vital
role
in
reducing
waste.
This
study
employs
the
concept
of
theory
perceived
risk
to
examine
influence
social
financial
risk,
online
retail
channels
return
policy
on
consumer-perceived
risk.
Additionally,
it
proposes
that
an
channel
with
lenient
may
enhance
intention
consumers
purchase
products.
The
hypotheses
were
examined
using
partial
least
square
structural
equation
modelling.
findings
suggest
significantly
purchasing
products,
but
does
not
substantially
which
be
if
both
offline
provide
same
level
support
policy.
results
also
indicate
mediates
consumers’
for
is
distinctive
because
analyses
effects
when
online.
examines
concepts
have
received
limited
attention
existing
literature.
While
previous
studies
looked
at
these
separately,
we
aim
comprehensive
analysis
by
studying
them
together.
By
implementing
this
study,
businesses
contribute
circular
economy,
conserve
resources,
potentially
reduce
imprints
sustainability
performance.
