La
tecnología
se
ha
convertido
en
una
herramienta
indispensable
para
las
organizaciones
que
buscan
mejorar
sus
procesos
y
funciones
buscando
el
máximo
desempeño
con
uso
eficiente
de
recursos,
este
tipo
cambio
la
demostrado
ser
gran
utilidad,
es
por
esta
razón
sector
agrícola
incursionado
búsqueda
herramientas
tecnológicas
los
factores
mayor
impacto
desarrollo
industria
(Qayyum
et
al.,
2023).
Es
ello
utiliza
modelo
TOE
propuesto
Tornatzky
(1990),
basado
teoría
contingencia
analiza
influyen
adopción
contexto
empresa,
ventaja
aplicable
a
todo
organización
(Khayer
2021),
dentro
empresas
pueden
utili-zar
forma
efectiva
tecnológica
tecnológicos,
organizacionales
del
entorno.
IEEE Transactions on Engineering Management,
Год журнала:
2024,
Номер
71, С. 8591 - 8605
Опубликована: Янв. 1, 2024
Post-COVID-19,
the
healthcare
sector
is
extensively
digitalizing
operations
by
applying
emerging
technologies
such
as
Artificial
Intelligence
(AI).
It
evident
from
previous
research
that
adoption
of
AI
in
supply
chain
results
unmatched
benefits.
Therefore,
present
study
identifies
enablers
for
adopting
chains
and
validates
them
using
Fuzzy-Delphi
technique.
Furthermore,
are
prioritized,
dyadic
connections
between
investigated
fuzzy-DEMATEL
approach.
In
last
phase,
Graph
Theory
Matrix
Approach
was
applied
to
assess
readiness
a
case
organization
adopt
across
various
functions.
The
sensitivity
analysis
confirms
reliability
results.
Competitive
mimetic
pressures,
together
with
government
policies
support,
were
most
influencing
enablers.
Scalability
Traceability
information
flow
found
be
influenced
factor
other
Journal of Open Innovation Technology Market and Complexity,
Год журнала:
2024,
Номер
10(3), С. 100355 - 100355
Опубликована: Авг. 4, 2024
Blockchain
technology
has
promising
benefits
and
provides
robust
solutions
for
managing
business
processes.
While
prior
studies
have
primarily
explored
its
potential
in
supporting
logistics
supply
chain
management,
many
practitioners
still
lack
a
clear
understanding
of
how
to
leverage
blockchain
technology,
hindering
adoption
within
the
industry.
Bridging
this
gap
addressing
critical
barriers
requires
further
empirical
research.
This
study
adopts
comprehensive
approach,
identifying
through
literature
review
validating
their
significance
Index
Item-Objective
Congruence
(IOC).
The
then
delves
into
interrelationships
among
significant
barriers,
utilising
Interpretive
Structural
Modelling
(ISM)
MICMAC
methods.
results
highlight
seven
sector,
encompassing
government
support,
operational
standards,
top
management
limited
public
awareness,
trust
issues,
technical
challenges,
network
collaboration
difficulties.
Notably,
awareness
inadequate
governmental
support
form
fundamental
obstacles
that
drive
various
challenges.
research
offers
insights
hinder
successful
logistics,
proposing
several
mitigation
strategies
are
line
with
principles
open
innovation.
International Journal on Smart Sensing and Intelligent Systems,
Год журнала:
2025,
Номер
18(1)
Опубликована: Янв. 1, 2025
Abstract
With
the
rapid
technological
advancement,
convergence
of
Internet
Things
(IoT),
blockchain,
and
machine
learning
(ML)
has
a
significant
revolution
across
industries,
driving
them
in
areas
like
Industry
4.0,
smart
cities,
advanced
transportation
systems.
This
study
presents
comprehensive
review
integration
IoT,
ML
technologies,
highlighting
their
transformative
impact
on
diverse
industries.
It
addresses
challenges
scalability,
security,
data
management
posed
by
growth
interconnected
IoT
devices,
proposing
solutions
through
algorithms
blockchain
for
security
immutability.
By
examining
real-world
applications
reviewing
existing
literature,
this
underscores
potential
benefits
complexities
merging
these
while
also
identifying
research
future
directions.
Overall,
it
offers
insights
into
innovative
constructive
collaboration
ML,
which
become
most
important
modern
advances.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Фев. 18, 2025
In
recent
years,
organizations
have
increasingly
adopted
blockchain
technology
to
facilitate
the
open
sharing
of
data
with
other
entities.
However,
despite
its
potential
benefits,
blockchain-based
models
face
several
challenges,
including
scalability,
timely
access,
and
privacy
concerns.
This
paper
introduces
a
Novel
Blockchain-based
Clustering
Model
for
Linked
Open
Data
Storage
Retrieval
called
BCLOD
address
these
challenges.
Initially,
network
nodes
are
organized
into
clusters,
transactions
from
users
within
each
cluster
then
grouped
proposed
linked
block
specific
that
preserve
property.
Additionally,
we
introduce
new
partial
structure,
which
stores
parts
block.
To
enhance
scalability
trustworthiness,
propose
structures
full
chains
in
storing
blocks.
Furthermore,
two-layer
Role-Based
Access
Control
(RBAC)
mechanism
is
introduced
safeguard
user
privacy.
validate
effectiveness
BCLOD,
conduct
evaluations
using
various
scenarios.
The
results
demonstrate
significant
reduction
required
storage
space
both
when
compared
traditional
blockchains.
Besides,
prevents
fork
occurrences
attacks
such
as
Sybil,
Distributed
Denial
Service
(DDoS),
Eclipse.
International Journal of Food Science & Technology,
Год журнала:
2023,
Номер
59(5), С. 3469 - 3477
Опубликована: Дек. 22, 2023
Summary
In
an
era
of
increasingly
complex
and
globalised
agri‐food
supply
chains
(AFSC),
the
battle
against
food
fraud
has
become
a
pressing
concern
for
both
consumers
industry
stakeholders.
Blockchain
technology
(BLCT)
emerged
as
promising
solution
to
address
challenges
traceability,
transparency,
accountability
within
these
chains.
This
paper
investigates
enablers
that
drive
successful
implementation
BLCT
in
combating
fraud.
The
study
uses
Interpretive
Structural
Modelling
(ISM)
analysing
enablers.
were
identified
using
literature
review
by
consulting
academic
experts.
finds
–
immutable
ledger,
data
security,
safety
are
important
research
provides
comprehensive
understanding
factors
their
interrelationships,
offering
solutions
policymakers
managers.
As
various
industries
stakeholders
collaborate
tackle
issues,
potential
reshape
AFSC
guaranteeing
trustworthiness,
security
all
parties
involved.
International Journal of Production Research,
Год журнала:
2024,
Номер
unknown, С. 1 - 28
Опубликована: Дек. 9, 2024
Blockchain
research
has
proliferated
in
recent
years,
attracting
more
attention
from
academics
and
practitioners.
However,
the
current
body
of
management
literature
is
widely
scattered
lacks
a
comprehensive
view
how
use
blockchain
organisations
impacts
environmental
social
sustainability.
To
bridge
this
gap,
our
review
comprehensively
examines
238
academic
papers
sourced
Scopus
database,
synthesising
previous
on
convergence
Employing
systematic
approach
incorporating
bibliometric
analysis,
study
provides
an
analysis
landscape
concerning
Our
yields
model
comprising
antecedents,
mechanisms,
sustainability
outcomes
organisations.
Based
review,
we
establish
future
agenda
provide
practical
implications.
E3S Web of Conferences,
Год журнала:
2024,
Номер
511, С. 01012 - 01012
Опубликована: Янв. 1, 2024
This
research
examines
the
profound
effects
of
integrating
IoT-enabled
predictive
maintenance
in
sustainable
transportation
fleets.
By
using
real-time
sensor
data,
this
implementation
aims
to
enhance
fleet
dependability
and
operational
efficiency.
The
fleet,
including
a
variety
vehicles
such
as
electric
buses,
hybrid
cars,
trucks,
CNG-powered
vans,
is
constantly
monitored
IoT
sensors
that
capture
important
characteristics
like
engine
temperature,
battery
voltage,
brake
wear
percentages.
algorithms
adapt
schedules
response
live
enabling
proactive
strategy
tackles
prospective
problems
before
they
result
major
failures.
examination
records
reveals
prompt
actions,
showcasing
system’s
efficacy
reducing
interruptions
improving
overall
fleet.
Moreover,
percentage
change
confirms
flexibility,
demonstrating
its
capacity
anticipate
fluctuations
wear.
findings
highlight
ability
various
operating
situations
contribution
lowering
expenses
while
enhancing
effectiveness.
established
approach
incorporates
ethical
issues,
data
security
privacy,
ensure
responsible
adoption
technology.
study
has
broader
ramifications
beyond
particular
dataset,
providing
detailed
plan
for
incorporating
IoTenabled
into
contemporary
infrastructures.
study’s
offer
valuable
insights
potential
strategies
transform
industry
towards
sustainability.
contributes
future
where
fleets
operate
with
increased
efficiency,
reduced
environmental
impact,
improved
reliability.