Revista Venezolana de Gerencia,
Journal Year:
2025,
Volume and Issue:
30(110), P. 1202 - 1221
Published: April 4, 2025
El
objetivo
de
este
estudio
es
evaluar
los
documentos
en
Scopus
sobre
digitalización
y
gestión
datos
la
economía
circular
entre
2018
2024,
identificando
tendencias
e
influencias
mediante
un
análisis
cuantitativo
con
enfoque
bibliométrico
400
publicaciones.
Los
resultados
evidencian
crecimiento
adopción
tecnologías
como
el
Internet
las
Cosas,
inteligencia
artificial
blockchain,
una
concentración
geográfica
Asia
Europa,
mientras
que
América
Latina
África
presentan
brechas
significativas.
Se
destaca
calidad
publicaciones
tan
relevante
su
cantidad,
países
Italia
Estados
Unidos
mostrando
alta
influencia
a
pesar
no
liderar
volumen
documentos.
Las
implicaciones
del
resaltan
necesidad
promover
acceso
equitativo
fortalecer
cooperación
internacional.
En
conclusión,
han
demostrado
ser
factores
clave
evolución
circular,
optimizando
recursos
impulsando
modelos
negocio
sostenibles.
recomienda
futuras
investigaciones
efectos
socioeconómicos
estudios
longitudinales
evalúen
impacto
transición
hacia
efectiva.
Environmental Technology & Innovation,
Journal Year:
2023,
Volume and Issue:
33, P. 103509 - 103509
Published: Dec. 29, 2023
Nowadays
the
pace
of
production
and
consumption
is
reaching
environmentally
unsustainable
levels.
In
this
regard,
great
technological
advances
developed
in
recent
years
are
postulated
as
a
source
opportunities
to
boost
circular
economy
sustainable
development.
This
wide
range
possibilities
offered
by
new
technologies
create
more
reality
has
aroused
curiosity
interest
academic
world,
especially
years.
The
main
objective
research
reveal
challenges
that
arise
when
incorporating
objectives
economy.
Regarding
methodology,
study
been
partially
supported
using
bibliometric
techniques.
results
highlight
transformative
role
technologies,
blockchain
artificial
intelligence,
advancing
economy,
with
particular
emphasis
on
community
technology
integration,
ethical
considerations,
synergies,
business
models,
burgeoning
bioeconomy.
We
conclude
promise
enhanced
resource
efficiency,
optimized
supply
chains,
innovative
improved
product
lifecycle
management,
offering
profound
economic
environmental
benefits
while
fostering
collaborative
innovation.
However,
these
also
represent
address,
such
integrating
advanced
methods,
ensuring
chain
transparency,
overcoming
skill
gap,
avoiding
data
centralization,
adapting
regulatory
frameworks
foster
equitable
growth.
These
some
most
important
areas
for
further
research,
those
related
development
employees'
capabilities
adaptation
frameworks,
they
understudied
gaps.
Engineering Science & Technology Journal,
Journal Year:
2024,
Volume and Issue:
5(3), P. 760 - 773
Published: March 10, 2024
In
recent
years,
the
intersection
of
finance
and
sustainability
has
garnered
significant
attention
as
global
community
grapples
with
urgent
need
to
address
environmental
challenges.
This
abstract
explores
role
fintech
innovations
in
supporting
green
through
data-driven
approaches.
Fintech,
characterized
by
its
use
technology
enhance
financial
services,
emerged
a
key
driver
leveraging
data
analytics,
machine
learning,
blockchain
promote
facilitate
investments.
Fintech
are
revolutionizing
providing
investors,
businesses,
consumers
tools
platforms
make
informed
decisions
that
align
objectives.
By
harnessing
power
big
advanced
companies
able
analyze
vast
amounts
environmental,
social,
governance
(ESG)
assess
risks
opportunities,
develop
sustainable
investment
strategies,
track
impact
portfolios.
One
contributions
is
development
enable
investors
allocate
capital
towards
environmentally
friendly
projects
companies.
These
leverage
analytics
screen
investments
based
on
ESG
criteria,
provide
transparency
into
footprint
investments,
empower
choices
their
values
preferences.
Furthermore,
facilitating
integration
principles
traditional
such
banking,
lending,
insurance.
technology,
enhancing
transparency,
traceability,
efficiency
supply
chains,
carbon
trading,
renewable
energy
financing.
However,
challenges
remain
full
potential
fintech.
include
privacy
security
concerns,
regulatory
uncertainties,
for
greater
collaboration
standardization
among
stakeholders.
conclusion,
represents
transformative
force
finance,
playing
pivotal
driving
transition
more
resilient
system.
empowering
stakeholders
stewardship
support
low-carbon
economy.
Keywords:
Data-Driven,
Sustainability,
Innovation,
Green
Finance.
Engineering Science & Technology Journal,
Journal Year:
2024,
Volume and Issue:
5(4), P. 1203 - 1213
Published: April 7, 2024
As
the
global
demand
for
energy
continues
to
rise,
imperative
balance
this
growth
with
environmental
sustainability
becomes
increasingly
crucial.
This
paper
delves
into
confluence
of
technological
advancements
in
exploration
and
carbon
management,
aiming
create
a
framework
sustainable
resource
discovery.
The
study
explores
cutting-edge
techniques,
incorporating
advanced
geophysical
methods
artificial
intelligence-driven
data
analytics,
while
concurrently
addressing
concerns
through
effective
management
strategies
like
capture
storage
(CCS)
utilization.
presents
holistic
approach
that
synergizes
innovative
technologies,
optimizing
processes
simultaneously
mitigating
impacts.
Through
case
studies,
frameworks,
industry
applications,
we
illustrate
practical
implementation
these
synergies.
findings
underscore
significance
collaborative
efforts
between
sectors
provide
roadmap
future
developments
align
goals.
contributes
comprehensive
understanding
how
synergies
can
drive
discovery,
presenting
compelling
integration
strategies.
proposed
not
only
addresses
pressing
challenges
meeting
demands
but
also
ensures
responsible
trajectory
industry.
Keywords:
Technological
Synergies,
Sustainable,
Resource
Discovery,
Energy
Exploration,
Carbon,
Management.
Engineering Science & Technology Journal,
Journal Year:
2024,
Volume and Issue:
5(3), P. 873 - 887
Published: March 24, 2024
As
environmental
concerns
continue
to
escalate,
the
integration
of
sustainability
principles
into
project
management
practices
has
emerged
as
a
crucial
endeavor
across
various
industries.
In
realm
Heating,
Ventilation,
and
Air
Conditioning
(HVAC)
systems,
where
energy
consumption
impact
are
significant,
incorporation
sustainable
presents
both
challenges
opportunities.
This
review
provides
an
overview
opportunities
associated
with
integrating
HVAC
management.
Challenges
in
stem
from
factors,
including
technological
limitations,
cost
considerations,
organizational
barriers.
Technologically,
adoption
solutions
often
requires
investments
advanced
equipment
which
may
not
always
be
readily
available
or
affordable
for
all
projects.
Additionally,
upfront
costs
implementing
can
perceived
prohibitive,
especially
industries
budget
constraints
prevalent.
Moreover,
inertia
resistance
change
pose
significant
challenges,
stakeholders
hesitant
deviate
traditional
methodologies.
Despite
these
there
exist
ample
Advancements
technology,
such
development
energy-efficient
systems
renewable
integration,
provide
reduce
while
enhancing
operational
efficiency.
Furthermore,
growing
emphasis
on
green
building
certifications,
LEED
(Leadership
Energy
Environmental
Design),
incentivizes
by
offering
recognition
financial
benefits
projects
that
meet
stringent
criteria.
increasing
awareness
issues
regulatory
requirements
underscores
importance
By
aligning
standards
industry
best
practices,
organizations
mitigate
risks
non-compliance
their
reputation
environmentally
responsible
entities.
While
persist,
impact,
enhance
efficiency,
foster
culture
innovation.
addressing
proactively
leveraging
opportunities,
position
themselves
leaders
management.
Keywords:
HVAC,
Project
Management,
Challenges,
Sustainability,
Review.
Building and Environment,
Journal Year:
2024,
Volume and Issue:
264, P. 111922 - 111922
Published: Aug. 8, 2024
Life
Cycle
Assessment
is
necessary
for
evaluating
the
environmental
impacts
of
buildings
throughout
their
life
cycle,
considering
factors
such
as
energy
consumption,
emissions,
and
resource
utilization.
However,
Dynamic
introduces
a
temporal
dimension,
acknowledging
that
building's
performance
evolves
due
to
technological
advancements,
occupancy
behavior,
changing
conditions.
This
paper
reviews
DLCA,
focusing
on
uncertainties
arising
from
parameter,
scenario,
model
variability,
emphasizes
integration
technologies
like
Building
Information
Modeling,
Internet
Things,
machine
learning
enhance
real-time
data
collection
predictive
analytics.
An
extensive
review
430
papers,
refined
180,
reveals
55
%
publications
are
in
sciences,
with
significant
contributions
United
Kingdom
(27.8
%),
France
(24.1
China
(18.1
%).
Key
findings
include
variations
embodied
greenhouse
gas
emissions
materials
aluminum
dynamic
aspects
transportation
impacts,
which
extend
beyond
traditional
metrics
operational
efficiency
over
time.
Uncertainties
all
LCA
stages
(A1
D)
addressed,
service
life,
water
use,
needs.
Advanced
methodologies,
including
proposed
framework
hybrid
approach
integrates
process-based
input-output
methods,
suggested
comprehensiveness
assessments.
The
monitoring
analytics
further
improves
adaptability
precision
models,
emphasizing
necessity
continuous
updates
scenario
analyses
capture
future
conditions
accurately.
study
paves
way
research
aimed
at
mitigating
major
sources
uncertainty,
promoting
more
sustainable
building
practices,
advancing
field
LCA.
International Journal of Management & Entrepreneurship Research,
Journal Year:
2024,
Volume and Issue:
6(3), P. 890 - 909
Published: March 28, 2024
The
review
explores
innovations
in
business
diversity
and
inclusion
within
the
renewable
energy
sector
through
a
series
of
case
studies.
As
industry
continues
to
grow
diversify,
there
is
increasing
recognition
importance
fostering
diverse
inclusive
workplaces
drive
innovation,
enhance
decision-making,
better
serve
communities.
This
presents
six
studies
that
highlight
various
aspects
initiatives
implemented
by
companies
operating
sector.
cover
leadership
aimed
at
promoting
executive
level,
workforce
strategies
focusing
on
recruitment
training
programs,
supplier
engaging
with
suppliers,
community
engagement
partnership
strategies,
innovative
approaches
design,
establishment
metrics
accountability
frameworks
track
progress.
By
examining
these
studies,
this
sheds
light
practices
adopted
create
more
equitable
workplaces,
strengthen
relationships,
sustainable
growth.
These
insights
contribute
broader
conversation
role
innovation
driving
positive
social
impact
industry.
Keywords:
Innovations,
Business
Diversity,
Inclusion,
Renewable
Energy
Sector,
Case
Studies,
Leadership
Initiatives.
World Journal of Advanced Research and Reviews,
Journal Year:
2024,
Volume and Issue:
21(1), P. 1999 - 2008
Published: Jan. 25, 2024
The
burgeoning
threat
of
climate
change
has
spurred
an
increased
reliance
on
advanced
technologies
to
comprehend
and
mitigate
its
far-reaching
consequences.
Artificial
Intelligence
(AI)
Machine
Learning
(ML)
have
emerged
as
indispensable
tools
in
research,
offering
unprecedented
capabilities
for
predictive
modeling
assessing
environmental
impact.
This
review
synthesizes
the
current
state
AI
ML
applications
emphasizing
their
role
understanding
repercussions.
Predictive
models
leveraging
algorithms
demonstrated
remarkable
efficacy
forecasting
patterns,
extreme
weather
events,
sea-level
rise.
These
incorporate
vast
datasets
encompassing
meteorological,
geospatial,
oceanic
information,
enabling
more
accurate
predictions
future
scenarios.
Moreover,
AI-driven
excel
recognizing
intricate
patterns
non-linear
relationships
within
data,
enhancing
capacity
simulate
complex
systems.
Environmental
impact
assessment
stands
a
critical
facet
techniques
are
proving
instrumental
this
regard.
facilitate
analysis
diverse
ecological
parameters,
including
deforestation
rates,
biodiversity
loss,
carbon
sequestration
dynamics.
By
discerning
nuanced
immense
datasets,
systems
contribute
direct
indirect
consequences
ecosystems.
Despite
these
advancements,
challenges
persist,
such
need
standardized
data
formats,
model
interpretability,
ethical
considerations.
Additionally,
integration
findings
into
policy
frameworks
remains
crucial
frontier.
As
intersection
AI,
ML,
research
evolves,
continuous
interdisciplinary
collaboration
is
essential
harness
full
potential
safeguarding
our
planet's
future.
illuminates
landscape
applications,
providing
insights
efficacy,
challenges,
contributions
advancing
sustainability.