Applied Sciences,
Год журнала:
2024,
Номер
14(18), С. 8181 - 8181
Опубликована: Сен. 11, 2024
This
study
deeply
integrates
multimodal
data
analysis
and
big
technology,
proposing
a
learning
framework
that
consolidates
various
information
sources,
such
as
user
geographic
location,
behavior
data,
product
attributes,
to
achieve
more
comprehensive
understanding
prediction
of
consumer
behavior.
By
comparing
the
performance
unimodal
approaches
in
handling
complex
cross-border
e-commerce
it
was
found
models
using
Adam
optimizer
significantly
outperformed
traditional
terms
accuracy
loss
rate.
The
improvements
were
particularly
notable
training
testing
accuracy.
demonstrates
efficiency
superiority
methods
capturing
analyzing
heterogeneous
data.
Furthermore,
explores
validates
potential
enhance
customer
satisfaction
environment.
Based
on
core
findings,
specific
applications
technology
operations
further
explored.
A
series
innovative
strategies
aimed
at
improving
operational
efficiency,
enhancing
satisfaction,
increasing
global
market
competitiveness
proposed.
Asia Pacific Journal of Marketing and Logistics,
Год журнала:
2024,
Номер
36(10), С. 2354 - 2370
Опубликована: Март 8, 2024
Purpose
This
study
embarks
on
a
comprehensive
investigation
into
the
intricate
relationship
between
consumer
trust
in
e-commerce
platforms
and
adoption
of
Green
Supply
Chain
Management
(GSCM).
It
delves
multifaceted
analysis
how
these
dynamics
influence
landscape
online
shopping,
with
specific
focus
four
critical
dimensions:
efficiency
purchasing
processes,
fulfillment
product
delivery
commitments,
convenience
associated
e-platform
utilization,
safeguarding
consumers'
personal
information.
Design/methodology/approach
research
employs
sophisticated
Structural
Equation
Modeling
(SEM)
techniques,
facilitated
by
SPSS
SmartPLS
software,
to
meticulously
analyze
amassed
data
subject
formulated
hypotheses
rigorous
testing.
The
empirical
foundation
this
draws
from
sample
377
randomly
selected
shoppers,
providing
robust
basis
for
its
insights.
Findings
At
core,
is
squarely
focused
unraveling
within
highlighting
pivotal
role
played
GSCM
making
shopping
more
ecologically
responsible
sustainable.
Of
paramount
importance
novel
dimension
introduced
integration
platforms,
practices,
multifarious
dimensions
all
unified
conceptual
framework.
Trust
leads
GSCM.
determines
satisfaction,
i.e.
efficiency,
fulfillment,
convenience,
privacy.
Finally,
mediates
satisfaction.
Practical
implications
holistic
approach
represents
ground-breaking
contribution
existing
body
literature.
presents
fresh
perspective
interactions
that
define
contemporary
landscape.
Originality/value
initial
integrates
GSCM,
single
framework
through
UTAUT2.
Sustainable Development,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 27, 2024
Abstract
Digital
technologies
have
the
potential
to
support
achieving
Sustainable
Development
Goals
(SDGs).
Existing
scientific
literature
lacks
a
comprehensive
analysis
of
triple
link:
“digital
–
different
industry
sectors
SDGs”.
By
systematically
analyzing
extant
literature,
1098
sustainable
business
practices
been
collected
from
578
papers,
using
11
digital
in
17
industries
achieve
SDGs.
For
instance,
find
that
artificial
intelligence
can
be
used
affordable
and
clean
energy
(SDG
7),
responsible
consumption
production
12)
as
well
address
climate
change
13).
Further,
geospatial
may
applied
agricultural
reduce
hunger
various
domains
2),
foster
good
health
well‐being
3),
improve
availability
water
sanitation
facilities
6),
raise
awareness
on
12),
safeguard
life
land
15),
among
other
insights.
Sustainability,
Год журнала:
2024,
Номер
16(12), С. 4901 - 4901
Опубликована: Июнь 7, 2024
The
integration
of
sustainable
indicators
into
supply-chain
management
(SCM),
including
cost,
innovation
capability,
quality,
service
long-term
cooperation,
environmental
system,
pollution
reduction,
green
image,
social
responsibility,
and
employment
practices,
has
become
essential
for
conducting
strategic
analyses
the
entire
process
competitive
advantage.
This
study
proposes
a
fuzzy
multi-criteria
decision-making
(MCDM)
method
to
solve
SCM
issues.
To
navigate
this
complexity,
multi-criterion
framework
is
employed,
integrating
MCDM
methods
with
logic
effectively
address
subjective
criteria.
innovative
approach
not
only
enhances
(SCM)
but
also
emphasizes
necessity
ongoing
in
tackling
contemporary
challenges.
It
serves
as
cornerstone
supplier
selection
practices
optimizing
processes.
In
study,
hybrid
proposed
selection.
addresses
by
utilizing
evaluations
from
expert
decision-makers
based
on
predetermined
comprehensive
ensures
that
all
relevant
factors
are
considered,
promoting
efficient
management.
