A Digital Transformation Framework for U.S. E-Commerce Supply Chains
Oluwakemi Famoti,
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Bamidele Michael Omowole,
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Godwin Nzeako
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et al.
International Journal of Scientific Research in Computer Science Engineering and Information Technology,
Journal Year:
2025,
Volume and Issue:
11(1), P. 1670 - 1701
Published: Feb. 7, 2025
The
rapid
advancement
of
digital
technologies
has
transformed
industries
worldwide,
with
U.S.
e-commerce
supply
chains
being
no
exception.
This
concept
paper
presents
a
comprehensive
framework
for
transformation
within
chains,
aiming
to
enhance
efficiency,
resilience,
and
scalability
in
an
increasingly
competitive
market.
outlines
the
integration
cutting-edge
technologies,
including
artificial
intelligence
(AI),
blockchain,
Internet
Things
(IoT),
big
data
analytics,
optimize
key
chain
operations
such
as
inventory
management,
logistics,
demand
forecasting,
customer
service.
identifies
critical
challenges
face,
fragmented
systems,
inefficiencies
real-time
decision-making,
vulnerabilities
external
disruptions.
To
address
these
challenges,
proposes
phased
approach
transformation,
prioritizing
automation,
integration,
analytics.
It
emphasizes
importance
adopting
cloud-based
solutions
enhanced
collaboration
between
suppliers,
distributors,
retailers.
In
addition
technological
solutions,
highlights
role
human
capital
driving
successful
calling
upskilling
reskilling
initiatives
prepare
workforce
data-driven
technology-enabled
environment.
also
considers
regulatory
cybersecurity
aspects
offering
strategies
ensuring
compliance
protecting
sensitive
from
cyber
threats.
By
implementing
this
framework,
businesses
can
achieve
higher
levels
operational
reduced
costs,
improved
satisfaction.
serves
roadmap
companies
navigate
evolving
landscape,
ultimately
positioning
sustained
growth
advantage
global
Language: Английский
What Is the Process? A Metamodel of the Requirements Elicitation Process Derived from a Systematic Literature Review
Processes,
Journal Year:
2024,
Volume and Issue:
13(1), P. 20 - 20
Published: Dec. 25, 2024
Requirements
elicitation
is
a
fundamental
process
in
software
engineering,
essential
for
aligning
products
with
user
needs
and
project
objectives.
As
projects
become
more
complex,
effective
methods
are
vital
capturing
accurate
comprehensive
requirements.
Despite
the
variety
of
available
methods,
practitioners
face
persistent
challenges
such
as
tacit
knowledge,
managing
diverse
stakeholder
needs,
addressing
ambiguities
Moreover,
although
recognized
core
gathering
analyzing
system
objectives,
there
lack
unified
systematic
framework
to
guide
practitioners—especially
newcomers—through
activity.
To
address
these
challenges,
we
provide
analysis
existing
aiming
contribute
better
alignment
between
ultimately
improving
engineering
practices.
We
do
so
by
performing
literature
review
identifying
crosscutting
steps,
common
techniques,
tools,
approaches
that
define
activities
process.
synthesize
our
findings
into
metamodel
structures
processes.
This
uncovers
various
methods—such
collaborative
workshops,
interviews,
prototyping—each
demonstrating
unique
strengths
different
contexts.
It
also
highlights
significant
limitations,
including
misalignment
incomplete
requirements
capture,
which
continue
reduce
effectiveness
Finally,
study
seeks
understanding
providing
view
their
current
limitations
through
enabling
structuring
optimization
Language: Английский
A conceptual framework for data-driven business optimization: Enhancing operational efficiency and strategic growth in U.S. small enterprises
Enuma Ezeife,
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May Equitozia Eyeregba,
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Chukwunweike Mokogwu
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et al.
Magna Scientia Advanced Research and Reviews,
Journal Year:
2024,
Volume and Issue:
12(2), P. 182 - 197
Published: Nov. 30, 2024
Small
enterprises
play
a
vital
role
in
the
U.S.
economy,
yet
many
face
significant
challenges
optimizing
operations
and
achieving
sustainable
growth
due
to
resource
constraints
market
dynamics.
This
study
proposes
conceptual
framework
for
data-driven
business
optimization,
aimed
at
enhancing
operational
efficiency
fostering
strategic
small
enterprises.
Leveraging
advancements
data
analytics,
integrates
predictive
modeling,
real-time
processing,
machine
learning
algorithms
enable
informed
decision-making
proactive
strategy
formulation.
The
emphasizes
three
core
components:
·
Data
Acquisition
Management,
which
involves
collecting
structured
unstructured
from
internal
external
sources
build
robust
repository;
Analytics
Insights
Generation,
utilizing
advanced
tools
identify
patterns,
forecast
trends,
detect
inefficiencies;
Strategic
Implementation,
applying
insights
streamline
workflows,
reduce
costs,
capitalize
on
emerging
opportunities.
By
aligning
strategies
with
organizational
goals,
ensures
systematic
approach
addressing
unlocking
new
avenues.
Furthermore,
this
explores
of
technologies,
including
artificial
intelligence
Internet
Things
(IoT)
devices,
scalability
adaptability
framework.
It
also
examines
adopting
approaches,
such
as
limited
technological
expertise
privacy
concerns,
offering
practical
recommendations
overcome
these
barriers.
Case
studies
successful
implementations
diverse
sectors—retail,
manufacturing,
services—highlight
framework's
potential
deliver
measurable
outcomes,
increased
productivity,
improved
customer
satisfaction,
competitive
advantage.
research
provides
actionable
into
leveraging
asset,
innovation,
resilience
rapidly
evolving
landscape.
Language: Английский
Sustainable materials for corrosion-resistant energy harvesting: a conceptual framework for innovations in biodegradable solutions for nuclear applications
Thompson Odion Igunma,
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Adeoye Taofik Aderamo,
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Olisakwe Henry Chukwuemeka
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et al.
Engineering Science & Technology Journal,
Journal Year:
2024,
Volume and Issue:
5(10), P. 2911 - 2933
Published: Oct. 16, 2024
The
demand
for
sustainable
materials
in
energy
harvesting
technologies
has
led
to
significant
advancements,
particularly
the
development
of
biodegradable
solutions
nuclear
applications.
This
conceptual
framework
explores
innovations
corrosion-resistant
that
combine
sustainability
with
enhanced
performance
systems.
integration
into
applications
presents
an
opportunity
reduce
environmental
impact
while
maintaining
efficiency
and
safety
standards
harsh
conditions.
review
focuses
on
dual
challenge
corrosion
resistance
biodegradability,
which
are
critical
long-term
operation
environments.
Traditional
used
reactors,
such
as
stainless
steels
superalloys,
often
struggle
disposal
issues.
By
contrast,
offer
potential
these
challenges,
recent
providing
sufficient
radiation
corrosive
investigates
properties
polymers,
composites,
coatings
have
been
adapted
A
central
theme
this
is
application
nanostructured
hybrid
designed
withstand
extreme
conditions
within
reactors.
These
exhibit
self-healing
passivation
capabilities,
contributing
their
resistance.
also
discusses
various
strategies
optimizing
materials,
including
surface
treatments,
alloying,
coating
techniques,
enhance
both
durability.
Moreover,
highlights
ongoing
research
bio-based
scalability
Although
challenges
remain
ensuring
consistent
over
extended
periods,
prospects
integrating
biodegradable,
systems
promising.
In
conclusion,
outlines
revolutionizing
by
addressing
resistance,
sustainability,
material
lifecycle
management.
Continued
innovation
field
could
transform
technologies,
driving
shift
toward
greener,
more
systems..
Keywords:
Sustainable
Materials,
Corrosion
Resistance,
Energy
Harvesting,
Biodegradable
Solutions,
Nuclear
Applications,
Nanostructured
Bio-Based
Composites.
Language: Английский