Advances in business information systems and analytics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 310 - 340
Published: Aug. 19, 2024
This
study
investigates
artificial
intelligence
and
how
it
can
be
leveraged
upon
in
order
to
re-engineer
existing
business
models,
towards
achieving
sustainable
development
goals.
The
analysed
factors
necessary
ensure
an
assisted
model
innovation
provide
a
framework
for
businesses
emerging
economies.
A
systematic
literature
review
of
is
undertaken
using
the
Scopus
database.
Filtering
processes
are
employed
arrive
at
94
journal
articles.
adopts
PRISMA
protocol
allow
comprehensive
disclosure
process.
process
resulted
thematic
areas
which
provided
that
guided
study.
Case
studies
were
also
undertaken,
qualitative
manner
capture
perceptions
experiences
as
well
problems
associated
with
leveraging
innovation.
research
output
includes
recommendation
policy
implication.
Decision Analytics Journal,
Journal Year:
2024,
Volume and Issue:
11, P. 100470 - 100470
Published: April 24, 2024
Convolutional
Neural
Network
(CNN)
is
a
prevalent
topic
in
deep
learning
(DL)
research
for
their
architectural
advantages.
CNN
relies
heavily
on
hyperparameter
configurations,
and
manually
tuning
these
hyperparameters
can
be
time-consuming
researchers,
therefore
we
need
efficient
optimization
techniques.
In
this
systematic
review,
explore
range
of
well
used
algorithms,
including
metaheuristic,
statistical,
sequential,
numerical
approaches,
to
fine-tune
hyperparameters.
Our
offers
an
exhaustive
categorization
(HPO)
algorithms
investigates
the
fundamental
concepts
CNN,
explaining
role
variants.
Furthermore,
literature
review
HPO
employing
above
mentioned
undertaken.
A
comparative
analysis
conducted
based
strategies,
error
evaluation
accuracy
results
across
various
datasets
assess
efficacy
methods.
addition
addressing
current
challenges
HPO,
our
illuminates
unresolved
issues
field.
By
providing
insightful
evaluations
merits
demerits
objective
assist
researchers
determining
suitable
method
particular
problem
dataset.
highlighting
future
directions
synthesizing
diversified
knowledge,
survey
contributes
significantly
ongoing
development
optimization.
Resources,
Journal Year:
2024,
Volume and Issue:
13(2), P. 19 - 19
Published: Jan. 24, 2024
In
this
study,
we
examine
Society
5.0,
defined
as
a
future
framework
where
advanced
technologies
like
artificial
intelligence
(AI),
the
Internet
of
Things
(IoT),
and
other
digital
innovations
are
integrated
into
society
for
sustainable
resource
management.
5.0
represents
an
evolution
from
industrial
focus
Industry
4.0,
aiming
harmonious
balance
between
technological
progress
human-centric
values,
consistent
with
United
Nations
Sustainable
Development
Goals.
Our
methodology
involves
detailed
literature
review,
focusing
on
identifying
evaluating
roles
AI,
IoT,
emerging
in
enhancing
efficiency,
particularly
water
energy
sectors,
to
minimize
environmental
impact.
This
approach
allows
us
present
comprehensive
overview
current
advancements
their
potential
applications
5.0.
study’s
added
value
lies
its
synthesis
diverse
strategies,
emphasizing
synergy
circular
economy
practices
economic
development.
We
highlight
necessity
resilience
adaptability
ecological
challenges
advocate
collaborative,
data-informed
decision-making
framework.
findings
portray
holistic
model
addressing
contemporary
global
management
conservation,
projecting
technology
aligns
sustainable,
equitable,
human-centered
Decision Analytics Journal,
Journal Year:
2024,
Volume and Issue:
10, P. 100439 - 100439
Published: Feb. 29, 2024
The
number
of
journals,
and
consequently
the
papers,
has
grown
significantly,
which
makes
it
necessary
to
use
suitable
tools
in
systematic
literature
reviews.
Several
methodologies
have
been
proposed
for
this
purpose,
one
these
methods
is
index
calculation
used
rank
papers
order
importance.
This
study
proposes
a
new
called
Normalized
Index
Ranking
Papers
review,
considered
mainly
indicators
provided
by
Centre
Science
Technology
Studies
journal
indicators.
For
calculation,
importance
weights
are
assigned
researchers,
normalized.
ranking
final
portfolio,
method
considers
weighted
average
(impact
factors)
paper
was
published
value
that
represents
approximately
citations
per
year.
self-citation
benefits
journals
with
lower
practices.
A
Systematic
Literature
Review
(SLR)
carried
out
analyze
portfolio's
results
involving
Multi-criteria
Decision
Analysis
airports.
normalization
enables
each
metric
be
decided
researcher
according
choice
weights,
not
difference
indicators'
magnitude.
an
article
can
proved
initially
Biomass,
Journal Year:
2024,
Volume and Issue:
4(3), P. 720 - 739
Published: July 5, 2024
Biomass
is
inherently
organic
and
renewable,
promoting
a
circular
economy
ecosystem.
As
global
consumption
patterns
change,
strategies
have
turned
into
sustainable
net-zero
for
developing
countries
developed
countries,
its
value
chain
now
included
in
important
biomass
energy
policies.
Many
are
actively
transforming
their
economic
growth
patterns,
own
economy,
targeting
ecological
development,
adjusting
domestic
industrial
structures.
The
concept
of
society,
synergistic
with
the
social
on
basis
has
production
at
core.
This
research
aims
to
verify
roles
that
plays
initiate
virtuous
resource
circulation
model,
promote
material
recycling
reuse,
form
“resources-products-renewable
resources”
better
use
efficiency.
It
discusses
bioeconomy
when
achieving
also
proposes
new
policy
concepts.
key
conclusions
cover:
(1)
energy–circular
business
model;
(2)
recognizing
co-benefit
consumers
prosumer
economy;
(3)
challenges
renewable
cycle
under
applications.
The International Review of Retail Distribution and Consumer Research,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 31
Published: July 26, 2024
Over
the
years,
sustainability
has
garnered
much
attention
owing
to
evidence
of
climate
change,
United
Nations
(UN)
sustainable
development
goals,
pandemics,
and
changing
behavior
millennials.
Retailers
are
one
largest
consumers
global
natural
human
resources.
They
have
joined
bandwagon
by
pledging
resources
communicating
same
their
target
customers
for
better
business
positioning.
This
study
aims
analyze
conceptual
structure
in
context
retail
enterprises
its
role
shaping
consumer
behavior.
Therefore,
it
leverages
bibliometric
techniques
elaborate
on
productivity
impact
existing
body
knowledge
this
area
through
performance
analysis
discover
clusters
science
mapping.
The
data
used
were
sourced
querying
Scopus
database
intersection
terms
related
'sustainability,'
'retail,'
'consumer
behavior.'
Subsequently,
they
processed
illustrated
using
RStudio
bibliometrix
package
R
drive
insights
summaries,
including
tables,
maps,
networks.
In
addition
highlighting
temporal
spatial
trends
dominant
themes,
suggests
future
research
avenues
retailing.
Buildings,
Journal Year:
2024,
Volume and Issue:
14(9), P. 2643 - 2643
Published: Aug. 26, 2024
Despite
the
growing
importance
of
resilience
in
construction
sector,
existing
literature
often
focuses
on
specific
systems
or
functions
without
integrating
a
holistic
view
resilience.
Hence,
there
is
pressing
need
for
comprehensive
research
that
synthesizes
these
dimensions
to
provide
clearer
framework
industry.
To
find
inherent
patterns
and
trends
resilience,
we
carried
out
from
perspective
three
elements
defining
(the
subject
influencing
factors,
subject’s
ability).
In
this
systematic
review,
70
articles
were
rigorously
handpicked
Web
Science,
Scopus,
authoritative
journals
divided
into
6
major
categories
24
subcategories
quantitative
temporal
analyses.
The
evolution
industry
investigated
shifting
facing
defined
impacts
addressing
complexities
diverse
unpredictable
disruptions
within
VUCA
(volatile,
uncertain,
complex,
ambiguous)
environments.
As
Industry
4.0
digital
transformation
progress,
significance
functional
across
various
system
levels
becomes
apparent,
necessitating
reconstitution
structural,
operational,
supply
chain
This
study
encourages
use
advanced
methodologies
like
big
data,
AI,
high-level
architecture
(HLA)
federated
simulations
predict
optimize
strategies,
thus
providing
robust
foundation
handling
future
uncertainties.
