F1000Research,
Год журнала:
2024,
Номер
13, С. 1140 - 1140
Опубликована: Окт. 7, 2024
Background
This
study
aims
to
empirically
test
a
comprehensive
interrelationship
between
green
supply
chain
management
(GSCM),
technology
innovation
(GTI),
waste
(WM),
big
data
analytics
capability
powered
by
artificial
intelligence
(BDAC-AI),
and
their
collective
impact
on
sustainable
performance
(SP)
in
organizational
contexts.
Methods
was
conducted
Pakistan’s
food
processing
sector.
The
respondents
included
495
managers
working
the
industry.
A
structural
equation
modelling
(SEM)
approach
is
used
examine
direct
indirect
relationships
variables.
originality
of
this
lies
integration
acceptance
model
(TAM)
dynamic
theory
(DCT)
understand
practices
context
provided
model.
Results
highlights
that
GSCM,
GTI,
WM,
BDAC-AI
have
positive,
strong,
impacts
SP.
Furthermore,
GTI
WM
only
partially
mediate
link
GSCM
SP,
whereas
two
moderate
link.
In
addition,
had
moderating
effect
relationship
has
managerial
implications,
including
strategies
involve
use
theoretical
frameworks
for
technological
capabilities
support
initiatives.
However,
it
worth
noting
findings
provide
practical
contingency
businesses
interested
implementing
studies
effectively,
improving
technologies,
strengthening
capabilities.
Conclusions
extends
literature
establishing
operationalizing
adds
value
first
integrates
TAM
DCT
explain
operations
organizations.
existing
SC.
It
offers
through
which
can
be
operationalized
FS
sector.
Heliyon,
Год журнала:
2024,
Номер
10(12), С. e32700 - e32700
Опубликована: Июнь 1, 2024
Cheese
whey
(CW),
by-product
of
cheese
production,
has
potential
as
a
valuable
resource
due
to
its
nutritional
composition.
Although
options
for
CW
degradation
have
been
explored,
biological
treatment
with
black
soldier
fly
larvae
(BSFL)
not
reported.
This
study
evaluated
the
growth
and
composition
BSFL
in
four
experimental
diets
under
different
conditions.
Results
show
that
use
allows
larval
development
weight
gain,
also,
conversion
into
biomass
was
up
0.215.
Diets
ED3
(fresh
CW,
38
°C)
ED4
room
temperature)
allowed
higher
accumulation
(final
0.285
g);
highest
fat
(12
%
than
control)
observed
(up
45.57
%),
which
had
less
protein.
Moreover,
amounts
saturated
fatty
acids
are
generated.
highlights
importance
an
appropriate
pretreatment
designed
specific
waste
control
desired
by-products.
Advances in environmental engineering and green technologies book series,
Год журнала:
2025,
Номер
unknown, С. 65 - 82
Опубликована: Янв. 16, 2025
One
industry
that
has
benefitted
largely
from
the
integration
of
Artificial
Intelligence
(AI)
and
machine
learning
(ML)
in
its
processes
is
recycling,
providing
significant
advancements
waste
management
towards
sustainability
environmental
conservation.
This
chapter
highlights
application
AI
ML
various
streams
(plastic,
electronic
food,
paper,
textile,
metal
etc.
wastage).
These
systems
use
AI-powered
image
recognition
sorting
to
better
separate
materials,
helping
increasing
efficiency
chemical
recycling
technologies;
meanwhile
algorithms
enable
cleaner
for
handling
chemicals
material
recovery.
Increased
precision
removal
valuable
components
via
automated
disassembly
predictive
analytics.
Using
helped
increase
operational
efficiency,
resources
recovery
but
also
shown
clear
contributions
environment
overall
ensure
sustainable
future
ahead.
Deleted Journal,
Год журнала:
2024,
Номер
2(1), С. 1 - 10
Опубликована: Март 30, 2024
Contemporary
human-made
activities
are
responsible
for
the
emission
of
more
than
30
billion
tons
carbon
dioxide
(CO2),
a
greenhouse
gas,
into
atmosphere.
The
current
study's
primary
purpose
is
to
examine
key
elements
that
contribute
elevated
levels
release
CO2
environment
in
Pakistan.
research
used
Pakistan's
annual
data
spanning
from
1970
2020,
along
with
STIRPAT
(Stochastic
Impact
by
Regression
on
Population,
Affluence,
and
Technology)
model.
relationship
between
atmosphere
other
chosen
factors
examined
using
ARDL
(Auto
Regressive
Distributive
Lag)
model
ECM
(Error
Correction
Model).
These
models
help
establish
credibility
acquired
findings.
paired
Granger
causality
analysis
revealed
presence
unidirectional
bidirectional
cause-and-effect
relationships
named
variable
parameters
activity
under
investigation.
Pakistan
must
prioritize
tackling
fundamental
challenges
afflicting
its
farming
industry,
particularly
those
pertaining
efficiency
livestock
crop
production.
novelty
this
study
comes
investigation
interaction
hitherto
undiscovered
macro-level
properties
findings
may
assist
policymakers
formulating
an
environmental
agricultural
strategy
aimed
at
promoting
use
sophisticated
low-carbon
technology.
animal,
Год журнала:
2024,
Номер
unknown, С. 101397 - 101397
Опубликована: Дек. 1, 2024
Clear
differences
exist
between
the
Global
South
and
North
with
respect
to
economic
development.
The
majority
of
small
medium-sized
insect
production
farms
are
located
in
Africa,
Asia,
Latin
America,
which
face
challenges
food
organic
waste
management
general.
These
regions
have
a
long
history
use,
as
well
environmental
advantages,
making
insects
general
-
black
soldier
fly
particular
promising
option
for
sustainable
management.
This
study
aimed
identify
current
state
(Hermetia
illucens
L.)
South.
results
survey
Strengths,
Weaknesses,
Opportunities,
Threats
Analysis
presented;
responses
were
obtained
from
33
100
producers
contacted:
14
4
15
Asia.
Their
indicate
that
although
great
potential
can
help
meet
many
Sustainable
development
goals
thanks
their
ecosystem
services
they
provide
is
one
main
reasons
engage
production,
significant
sustainability
farming,
including
lack
an
adequate
regulatory
framework,
unstable
supply
raw
materials,
market
instability,
technology
operational
scaling.
collaboration
among
all
stakeholders
crucial
overcoming
these
challenges.
Ecological Questions,
Год журнала:
2024,
Номер
35(4), С. 1 - 27
Опубликована: Июль 22, 2024
Dhapa,
the
landfill
situated
in
Kolkata,
is
a
very
active
site
for
municipal
dumping.
A
humongous
amount
of
solid
waste
added
this
dump
daily
and
nearby
farmlands
produce
significant
yield
local
population.
The
current
study
seeks
to
examine
environmental
associated
with
leachate
migration
due
open
dumping
unsorted
India.
Also,
second
goal
assess
risk
public
health
consumption
agricultural
products
possibly
contaminated
heavy
metals
through
soil
groundwater.
seasonal
groundwater
sample,
samples
grown
near
were
collected
around
periphery
Dhapa.
presence
was
determined
using
classical
methods
specialized
laboratory.
results
compared
FAO/WHO,
BIS/WHO
found
that
toxic
metal
Cd,
Cr,
Zn,
Pb
&
Hg
present
high
concentrations.
For
vegetables
at
fields,
multiple
as
different
are
year,
it
mainly
exceeding
Indian
permissible
standards
consumptions
many
fold.
Finally
by
use
indices
like
Average
Daily
Dose
(ADD)
Chronic
Intake
(CDI)
along
Hazard
Quotient
(HQ)
carcinogenic
risk,
on
human
health,
highest
ground
water
vegetables.
fills
gap
scientific
substantiation
actively
developing
hazards
regional
level.
