International Journal of Innovation,
Год журнала:
2022,
Номер
10(4), С. 729 - 759
Опубликована: Окт. 11, 2022
Objective
of
the
study:
This
article
aims
to
present
a
systematic
literature
review
on
application
blockchain
in
healthcare
supply
chain.Relevance
/
originality:
The
relevance
and
originality
consist
presentation
that
focuses
considers
concepts
blockchain,
chain
as
equally
important,
studied
time
frame.Methodology
approach:
followed
protocol
based
Preferred
Reporting
Items
for
Systematic
Reviews
Meta-Analysis
(PRISMA),
performing
search
eight
databases,
selecting
conference
journal
articles
their
content
sequential
steps.Main
results:
As
result,
122
publications
were
selected.
number
field
has
been
found
grow
rapidly,
sensors
Internet
Things
(IoT)
are
two
prominent
minor
topics.
Three
research
challenges
raised.Theoretical
methodological
contributions:
Provide
understanding
academics
professionals
about
state
art
applying
chain,
both
terms
evolution
literature,
well
raising
new
research.Social
management
Raising
discussions
solutions
issues,
involving
example
data
integrity
privacy
electronic
medical
reports,
drug
counterfeiting
use
internet
things.
Sustainability,
Год журнала:
2023,
Номер
15(13), С. 10723 - 10723
Опубликована: Июль 7, 2023
Within
the
framework
of
ongoing
implementation
2030
Vision
for
Comprehensive
Development
Higher
Education
in
Saudi
Arabia,
integration
artificial
intelligence
(AI)
has
emerged
as
a
pivotal
objective
country’s
numerous
higher
education
institutions.
This
study
aims
to
examine
opportunities
and
challenges
that
arise
from
adoption
AI-based
learning
outcomes
Arabia’s
institutes.
Moreover,
research
also
investigates
contribution
major
institutes
Arabia
field
outcomes.
To
gather
relevant
literature,
Scopus
Web
Science
databases
were
utilised,
resulting
selection
fifty-five
studies
final
analysis.
The
employed
PRISMA
statement
2020
records
filtration
utilised
VOS
viewer
software
classify
literature
on
Arabian
universities.
Through
detailed
analysis,
three
significant
data
streams
identified
examined.
findings
indicate
AI
is
nascent
stage
within
realm
learning,
it
become
an
undeniable
reality
Embracing
this
transformative
technology
crucial
meeting
future
challenges,
imperative
all
students
acquire
necessary
technical
skills
interact
with
create
future.
According
findings,
potential
address
educational
revolutionise
teaching
methodologies,
accelerate
progress
toward
objectives.
However,
highlights
certain
associated
context
emphasising
need
teachers
new
technological
effectively
utilise
pedagogically.
Journal of Tourism Futures,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 19, 2024
Purpose
One
of
the
issues
currently
being
discussed
around
globe,
and
especially
in
tourism
industry,
is
revisit
intention.
This
study
uses
a
bibliometric
analysis
strategy
based
on
Web
Science
(WOS)
database
to
examine
literature
Design/methodology/approach
In
this
study,
sample
482
articles
was
analyzed.
The
R
programming
language
used
process
data
graph
results.
Findings
results
found
occurrence
publications
by
year,
publication
source
information
authors,
journals,
countries,
institutions,
thematic
maps,
current
trends
topics
hospitality
toward
revisiting
intention,
most
cited
papers
highlights
importance
intention
industry.
helps
set
research
agenda
Originality/value
To
best
authors’
knowledge,
first
its
kind
present
an
empirical
evaluation
using
inclusive
mapping.
International Journal of Online and Biomedical Engineering (iJOE),
Год журнала:
2024,
Номер
20(07), С. 4 - 17
Опубликована: Май 6, 2024
This
research
investigates
the
integration
of
blockchain
technology
in
vocational
education
Indonesia,
evaluating
its
impact
on
database
system
learning
outcomes.
Involving
86
Indonesian
students,
this
study
aims
to
assess
effectiveness
improving
students’
understanding,
skills,
and
academic
performance.
Using
a
quasi-experimental
design,
findings
showed
significant
improvement
outcomes,
as
evidenced
by
analysis
pre-test
post-test
scores.
The
measure
with
substantial
increase
approximately
46.50%,
emphasizes
positive
influence
student
achievement
systems
course.
will
contribute
valuable
information
educational
institutions,
policy
makers,
educators
who
wish
incorporate
new
technologies
such
into
their
systems.
implication
is
provide
recommendations
optimizing
technology,
which
significantly
affects
outcomes
realized
through
facilitating
fast
efficient
access
materials,
fostering
more
interactive
engaging
environment,
enhancing
understanding
industry
practices.
not
only
improves
quality
but
also
equips
students
for
successful
career
technology.
The
foundation
of
today's
healthcare
infrastructure
is
made
up
Cyber-Physical
technologies
(CPS),
which
combine
computational
and
physical
to
provide
effective
patient
care
management.
But
because
CPS
are
networked
in
settings,
they
vulnerable
a
variety
security
flaws;
therefore,
robust
safety
measures
needed
protect
sensitive
data
guarantee
system
integrity.
We
put
thorough
plan
improve
the
industry
by
utilizing
blockchain,
Multi-Attribute
Feature
Selection
(MAFS),
Ensemble
Learning.
start
with
particular
issues
that
faces
industry,
such
as
possibility
hostile
attacks,
unauthorized
access,
breaches
target
medical
equipment
records.
Next,
we
present
Learning,
potent
method
for
enhancing
precision
threat
identification
categorization
applications.
Learning
frameworks
resilience
generalization
capacities
models
mixing
various
base
learners,
decision
trees,
neural
networks,
support
vector
machines.
This
makes
it
possible
create
more
defense
mechanisms
against
cyber
threats.
In
addition,
investigate
how
blockchain
technology
may
be
incorporated
into
decentralized,
impenetrable
ledger
handling
preserving
data.
Healthcare
systems
integrity,
traceability,
auditability
while
also
facilitating
safe
open
transactions
among
stakeholders
blockchain-based
smart
contracts
cryptography
approaches.
Furthermore,
way
maximize
selection
pertinent
features
applications,
(MAFS).
MAFS
approaches
allow
development
scalable
methodically
assessing
choosing
subsets
attributes
based
on
their
contribution
detection
classification
tasks.
To
strengthen
healthcare,
finally
propose
comprehensive
combines
algorithms,
blockchain-enabled
management
mechanisms,
MAFS-driven
feature
methodologies.
show
suggested
strategy
works
resilience,
confidentiality,
maintain
integrity
face
changing
threats
through
empirical
evaluation
case
studies.
Journal of the International Council for Small Business,
Год журнала:
2025,
Номер
unknown, С. 1 - 34
Опубликована: Март 25, 2025
This
study
aims
to
examine
the
bibliometric
analysis
in
family
business
research
Asia,
as
documented
Scopus
database
from
1998
2023.
A
total
of
649
documents
were
identified,
providing
insights
into
publication
trends,
country
contributions,
co-authorship
networks,
leading
sources,
and
key
themes.
The
findings
highlight
major
focus
areas,
including
organizational
identity,
family-centric
culture,
succession
planning,
trust,
government
policy
impacts,
relationship
between
ownership,
performance,
entrepreneurship,
corporate
social
responsibility.
These
are
valuable
for
academics,
policymakers,
practitioners
looking
understand
evolving
landscape
explore
future
directions
studies
Asia.
The
application
of
technology
to
healthcare
is
becoming
increasingly
common.
Apps
designed
for
health
monitoring
among
nursing
students
are
currently
under
development.
In
this
study,
we
used
various
health-monitoring
devices
available
in
the
college
a
university
provide
with
means
their
health.
data
collected
each
student
were
uploaded
account
(app),
enabling
them
monitor
and
record
own
using
smartphones.
To
describe
process
management
app
developed
evaluate
user
experience.
This
descriptive
cross-sectional
study
discussing
design
an
online
questionnaire
investigate
students'
experience
app.
It
ran
from
July
1,
2020,
May
31,
2023,
total
283
valid
questionnaires
collected.
collects
user's
physical
analyzes
recommendations.
Positive
feedback
on
was
received
via
questionnaire.
Part
1
evaluated
usability
contained
two
questions,
which
yielded
scores
3.67
(±
0.93)
3.70
0.89)
out
5.
2
related
eight
yielding
ranging
3.63
0.91)
0.98)
offers
valuable
insights
into
process,
effectiveness,
tailored
students.
