Sustainability,
Journal Year:
2024,
Volume and Issue:
16(12), P. 4879 - 4879
Published: June 7, 2024
This
study
reviews
the
application
of
artificial
intelligence
(AI)
throughout
food
value
chain
and
how
it
can
be
leveraged
to
help
companies
become
more
sustainable.
A
literature
review
across
different
parts
was
conducted
provide
an
overview
main
themes
current
future
AI
applications
industry.
Moreover,
paper
focuses
on
benefits
challenges
change
management
when
integrating
AI.
documentary
Systematic
Review
using
PRISMA
research
find
analyze
aforementioned
applications.
The
key
insight
is
that
progress
varies
significantly.
Today’s
are
primarily
found
within
inspection
quality
assurance
due
relatively
straightforward
in
chain.
Such
technology
mainly
image-based.
Companies
use
interconnectedness
sustainability
by
becoming
efficient
through
simultaneously
saving
emissions
resources
optimizing
processes.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(13), P. 10482 - 10482
Published: July 3, 2023
Food
waste
is
a
global
issue
with
significant
economic,
social,
and
environmental
impacts.
Addressing
this
problem
requires
multifaceted
approach;
one
promising
avenue
using
artificial
intelligence
(AI)
technologies.
This
article
explores
the
potential
for
AI
to
tackle
food
enhance
circular
economy
discusses
current
state
of
economy,
highlighting
specific
ways
that
can
be
used
monitor
optimise
production
supply
chains,
redistribute
excess
those
in
need,
support
initiatives.
As
result,
we
maximise
resource
efficiency
minimise
impact
these
applications,
ultimately
creating
more
sustainable
equitable
system.
Business Strategy and the Environment,
Journal Year:
2023,
Volume and Issue:
32(7), P. 4143 - 4166
Published: Jan. 20, 2023
Abstract
Industry
4.0
technologies
are
transforming
supply
chain
management
from
a
linear
model
to
what
is
known
as
4.0,
where
operations
integrated,
and
flows
stream
in
multiple
directions.
The
study
aims
explore
the
attributes
of
their
impact
drive
sustainability
values.
findings
were
generated
after
systematic
literature
review
71
articles
on
various
dimensions
technologies.
provides
most
studied
sustainable
context
categorizes
well
relevance
sustainability.
results
show
that
advances
such
Blockchain
Internet
Things
have
increased
potential
for
chains
reach
expands
existing
encourages
businesses
scientific
community
investigate
power
It
presents
limitations
directions
future
research.
Energy & Environment,
Journal Year:
2024,
Volume and Issue:
35(7), P. 3833 - 3879
Published: May 22, 2024
The
global
transition
toward
sustainable
energy
sources
has
prompted
a
surge
in
the
integration
of
renewable
systems
(RES)
into
existing
power
grids.
To
improve
efficiency,
reliability,
and
economic
viability
these
systems,
synergistic
application
artificial
intelligence
(AI)
methods
emerged
as
promising
avenue.
This
study
presents
comprehensive
review
current
state
research
at
intersection
AI,
highlighting
key
methodologies,
challenges,
achievements.
It
covers
spectrum
AI
utilizations
optimizing
different
facets
RES,
including
resource
assessment,
forecasting,
system
monitoring,
control
strategies,
grid
integration.
Machine
learning
algorithms,
neural
networks,
optimization
techniques
are
explored
for
their
role
complex
data
sets,
enhancing
predictive
capabilities,
dynamically
adapting
RES.
Furthermore,
discusses
challenges
faced
implementation
such
variability,
model
interpretability,
real-time
adaptability.
potential
benefits
overcoming
include
increased
yield,
reduced
operational
costs,
improved
stability.
concludes
with
an
exploration
prospects
emerging
trends
field.
Anticipated
advancements
explainable
reinforcement
learning,
edge
computing,
discussed
context
impact
on
Additionally,
paper
envisions
AI-driven
solutions
smart
grids,
decentralized
development
autonomous
management
systems.
investigation
provides
important
insights
landscape
applications
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Feb. 16, 2024
In
the
current
global
context
of
environmental
degradation
and
resource
constraints,
pursuit
sustainable
development
has
become
an
imperative.
One
avenue
that
holds
promise
for
achieving
this
objective
is
application
digital
technologies,
which
have
potential
to
decouple
economic
growth
from
its
carbon
footprint.
However,
it
crucial
ensure
these
technologies
are
designed
governed
in
a
prudent
manner,
with
strong
alignment
priorities.
This
study
focuses
on
exploring
roles
blockchain
artificial
intelligence
(AI)
supply
chain
coordination
impact
mitigation.
Furthermore,
they
capacity
incentivize
recycling
circular
business
models,
as
well
facilitate
accounting
offsetting.
To
fully
realize
benefits,
essential
deploy
within
inclusive
collaborative
frameworks
take
into
consideration
social
ecological
considerations.
The
also
offers
policy
recommendations
highlight
key
leverage
points
innovation,
enabling
countries
embark
smart
green
industrial
transformation
pathways.
By
harnessing
AI
chains,
governments
can
promote
transparency,
traceability,
accountability,
thereby
fostering
practices
reducing
impacts.
Incorporating
approaches
leads
substantial
improvement
efficiency,
demonstrated
by
numerical
analysis.
conclusion,
integration
innovative
significant
opportunities
optimize
production
systems
activity
while
prioritizing
sustainability
objectives
betterment
society
environment.
These
mitigate
externalities
addressing
information
imbalances
chains.
prioritize
governance
emphasizes
democratic
participation
any
unintended
negative
consequences,
especially
vulnerable
communities.
ensuring
decision-making
processes,
we
maximize
positive
minimizing
harm.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 3881 - 3897
Published: Jan. 1, 2024
As
reliance
on
disruptive
applications
based
Artificial
Intelligence
(AI)
and
Blockchain
grows,
the
need
for
secure
trustworthy
solutions
becomes
ever
more
critical.
Whereas
much
research
has
been
conducted
AI
Blockchain,
there
is
a
shortage
of
comprehensive
studies
examining
their
integration
from
security
perspective.
Hence,
this
survey
addresses
such
gap
provides
insights
policymakers,
researchers,
practitioners
exploiting
Blockchain's
evolving
integration.
Specifically,
paper
analyzes
potential
benefits
as
well
related
concerns,
identifying
possible
mitigation
strategies,
suggesting
regulatory
measures,
describing
impact
it
public
trust.
Transportation Research Part E Logistics and Transportation Review,
Journal Year:
2024,
Volume and Issue:
184, P. 103455 - 103455
Published: Feb. 27, 2024
In
this
paper,
we
present
a
systematic
literature
review
of
the
applications
Artificial
Intelligence
(AI)
in
Closed-loop
Supply
Chains
(CLSC).
Through
and
unbiased
search,
select
303
peer-reviewed
articles
examined
them
to
understand
prevalent
publication
trends,
most
impactful
studies,
influential
authors,
popular
journals.
We
further
identify
ten
AI
techniques
evaluated
their
several
CLSC
subfields.
seven
subfields
that
can
benefit
significantly
from
future.
Consequently,
provide
framework
containing
fifteen
research
questions
guide
future
on
CLSC.
Thunderbird International Business Review,
Journal Year:
2024,
Volume and Issue:
66(2), P. 185 - 200
Published: Feb. 9, 2024
Abstract
The
emergence
of
artificial
intelligence
(AI)
has
transformed
global
business,
aiding
operational
efficiency
and
innovation.
It
utilizes
machine
learning
big
data
analytics,
driving
predictive
market
trends
strategic
decision‐making.
However,
despite
the
rising
discussion
accessibility
AI
tools,
understanding
its
impact
on
international
business
remains
limited.
This
article
explores
AI's
potential
in
strategies,
practices,
activities.
To
address
this
aim,
we
reviewed
37
articles
existing
literature
to
critically
explore
within
context
business.
More
specifically,
explored
how
can
be
applied
innovation
approaches
selection,
entry
modes,
foreign
exchange,
human
resource
management,
supply
chains,
managing
across
cultures,
more
topics.
necessitated
changes
workplace
configurations
need
for
organizational
employee
adjustments
response
technology.
As
a
result
foregoing
issues
integration
our
analysis
provided
an
exploratory
around
use,
challenges,
managerial
implications,
suggested
areas
requiring
future
studies.
