The International Journal of Logistics Management,
Год журнала:
2023,
Номер
unknown
Опубликована: Дек. 19, 2023
Purpose
The
purpose
of
this
paper
is
to
identify
the
challenges
surrounding
implementation
digital
technology
(DT)
agri-food
supply
chain
(AFSC)
and
explore
how
these
relate
various
sustainability
dimensions.
Additionally,
it
aims
assess
are
interconnected
in
relation
achieving
sustainable
development
goals
(SDGs).
Design/methodology/approach
study
employs
a
mixed-method
approach
utilizing
EFA-ISM-Fuzzy
DEMATEL
technique.
To
support
validate
findings,
exploratory
factor
analysis
(EFA)
categorized
12
critical
dimensions
from
141
participants'
responses.
Furthermore,
interpretive
structural
modeling
(ISM)
decision-making
trial
evaluation
(DEMATEL)
methods
were
used
obtain
interrelationship
hierarchical
structure
challenges.
Findings
identified
while
adopting
DT
AFSC.
These
into
four
dimensions:
technological,
economic,
environmental
social.
hinder
achievement
SDGs
as
well.
Lack
regulatory
policy
framework
with
security
privacy
issues
key
faced
DT.
observations
emphasize
necessity
for
government
policymakers
prioritize
tackling
successfully
endorse
execute
initiatives
AFSC
also
fulfilling
SDGs.
Research
limitations/implications
implication
underscores
need
collaboration
among
stakeholders,
such
governments,
policymakers,
businesses
researchers.
By
collectively
addressing
challenges,
can
be
leveraged
optimally,
fostering
practices
making
progress
toward
within
Originality/value
uses
combination
technique
EFA
ISM-DEMATEL
Indian
categorizes
interrelation
between
along
Heliyon,
Год журнала:
2024,
Номер
10(10), С. e31215 - e31215
Опубликована: Май 1, 2024
Studying
the
impact
of
agricultural
digitalization
(ADT)
on
carbon
emission
intensity
planting
industry
(PCI)
can
help
promote
sustainable
development
and
realize
"dual
carbon"
goal.
Based
panel
data
31
provinces
in
China
from
2010
to
2020,
this
study
uses
entropy
weight
method
coefficient
measure
level
ADT
PCI,
respectively.
By
using
regression
analysis
method,
as
well
robustness
test,
heterogeneity
spatial
spillover
effect
threshold
tests,
PCI
was
examined.
The
results
are
follow:
(1)
is
high
north
low
south,
north-south
divide
becoming
prominent.
(2)
significantly
reduce
verified
through
test.
(3)
Regional
differences
exist
with
most
significant
observed
northeast
region,
followed
by
western
central
regions.
(4)
exerts
a
an
inhibitory
adjacent
provinces.
(5)
proportion
urban
population
PCI.
When
ratio
crosses
69
%,
emissions
decreases
marginally.
Therefore,
promoting
green
low-carbon
highly
recommended.
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika,
Год журнала:
2024,
Номер
9(4), С. 1196 - 1205
Опубликована: Янв. 11, 2024
In
the
era
of
modern
technology,
object
detection
using
Gray
Level
Co-occurrence
Matrix
(GLCM)
extraction
method
plays
a
crucial
role
in
recognition
processes.
It
finds
applications
real-time
scenarios
such
as
security
surveillance
and
autonomous
vehicle
navigation,
among
others.
Computational
efficiency
becomes
critical
factor
achieving
detection.
Hence,
there
is
need
for
model
with
low
complexity
satisfactory
accuracy.
This
research
aims
to
enhance
computational
by
selecting
appropriate
features
within
GLCM
framework.
Two
classification
models,
namely
K-Nearest
Neighbours
(K-NN)
Support
Vector
Machine
(SVM),
were
employed,
results
indicating
that
outperforms
SVM
terms
complexity.
Specifically,
K-NN,
when
utilizing
combination
Correlation,
Energy,
Homogeneity
features,
achieves
100%
accuracy
rate
Moreover,
Energy
K-NN
attains
an
almost
perfect
level
99.9889%,
while
maintaining
On
other
hand,
despite
certain
feature
combinations,
its
high
or
very
can
pose
challenges,
particularly
applications.
Therefore,
based
on
trade-off
between
complexity,
emerges
more
suitable
choice
demand
provides
valuable
insights
optimizing
various
requiring
both
rapid
responsiveness.
The International Journal of Logistics Management,
Год журнала:
2023,
Номер
unknown
Опубликована: Дек. 19, 2023
Purpose
The
purpose
of
this
paper
is
to
identify
the
challenges
surrounding
implementation
digital
technology
(DT)
agri-food
supply
chain
(AFSC)
and
explore
how
these
relate
various
sustainability
dimensions.
Additionally,
it
aims
assess
are
interconnected
in
relation
achieving
sustainable
development
goals
(SDGs).
Design/methodology/approach
study
employs
a
mixed-method
approach
utilizing
EFA-ISM-Fuzzy
DEMATEL
technique.
To
support
validate
findings,
exploratory
factor
analysis
(EFA)
categorized
12
critical
dimensions
from
141
participants'
responses.
Furthermore,
interpretive
structural
modeling
(ISM)
decision-making
trial
evaluation
(DEMATEL)
methods
were
used
obtain
interrelationship
hierarchical
structure
challenges.
Findings
identified
while
adopting
DT
AFSC.
These
into
four
dimensions:
technological,
economic,
environmental
social.
hinder
achievement
SDGs
as
well.
Lack
regulatory
policy
framework
with
security
privacy
issues
key
faced
DT.
observations
emphasize
necessity
for
government
policymakers
prioritize
tackling
successfully
endorse
execute
initiatives
AFSC
also
fulfilling
SDGs.
Research
limitations/implications
implication
underscores
need
collaboration
among
stakeholders,
such
governments,
policymakers,
businesses
researchers.
By
collectively
addressing
challenges,
can
be
leveraged
optimally,
fostering
practices
making
progress
toward
within
Originality/value
uses
combination
technique
EFA
ISM-DEMATEL
Indian
categorizes
interrelation
between
along
