Safety and Health For Medical Workers,
Journal Year:
2024,
Volume and Issue:
1(2), P. 95 - 110
Published: July 10, 2024
Objective:
This
paper
aims
to
show
how
REDECA
Reengineering
Delphi
and
Evaluation
can
be
integrated
with
Artificial
Intelligence
(AI)
in
a
way
increase
the
influence
of
AI
on
Occupational
Safety
Health
(OSH)
by
further
advancing
risk
identification
process,
prevention
injuries,
compliance
safety
standards.Methods:
A
quantitative
cross-sectional
study
method
was
used
through
multiple
regressions
analysis
for
relationships
between
application,
identification,
injury
reduction,
culture,
compliance.
Organizational
culture
explored
as
moderator
influencing
effectiveness
OSH
systems.Results:
enhances
prediction
risk,
resulting
significant
reduction
workplace
injuries
fatalities.
AI-enabled
applications
ensure
higher
adherence
protocols
helped
building
time-tested
culture.
In
fact,
organizational
improves
AI,
serving
vital
moderating
factor
that
facilitates
lasting
advancements
practices.
points
relationship
technological
innovation
influences
better
outcomes.Novelty:
presents
an
original
integration
AI-driven
predictive
mechanisms
framework,
highlighting
role
serves
bridge
technology
adoption
behavior
advance
strategies.Research
Implication:
The
findings
provide
roadmap
organizations
not
just
invest
AI-based
systems
but
also
inculcate
strong
reap
rewards
technical
advances.
research
sends
message
fostering
transformative
approach
management,
which
sustainable
improvements
safety,
mitigation
employed
well-being
policymakers
industry
leaders.
Ain Shams Engineering Journal,
Journal Year:
2024,
Volume and Issue:
15(7), P. 102822 - 102822
Published: April 25, 2024
Building
information
modeling
(BIM)
adoption
offers
significant
benefits
for
construction
projects,
including
enhanced
collaboration
and
legal/contractual
management.
However,
the
impacts
of
BIM
deployment
on
contracts
dispute
resolution
remain
unclear.
This
research
analyzed
regulatory
legal
implications
in
industry
via
a
framework
evaluating
Contractual
Frameworks
(CF),
Dispute
Resolution
(DR),
Legal
Awareness
(LA),
Risk
Management
(RM).
Fifteen
qualitative
interviews
with
experts
provided
key
insights.
The
results
showed
CF,
DR,
LA
have
large
positive
impact
adoption,
while
RM
has
smaller
effect.
Specifically,
clearly
defined
protocols
contracts,
efficient
mechanisms,
knowledge
are
essential
to
ensure
effective
deployment.
These
findings
imply
project
managers
should
proactively
address
contractual
factors
manage
risks,
encourage
collaboration,
adhere
regulations
when
implementing
BIM.
makes
contribution
by
addressing
lack
empirical
insights
aspects
adoption.
methodology
provides
in-depth
perspectives
from
experienced
practitioners.
offer
valuable
stakeholders
worldwide
seeking
leverage
Further
comparative
across
regions
industries
would
continue
advance
comprehension
Management Review Quarterly,
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 9, 2024
Abstract
Among
the
causes
of
low
success
rate
projects
(around
35%
total)
is
level
maturity
technologies
available
for
management
themselves.
However,
today
many
researchers,
startups
and
innovative
companies
are
starting
to
apply
artificial
intelligence
(AI),
machine
learning
other
advanced
field
project
management.
By
2030
industry
will
undergo
significant
changes.
using
Preferred
Reporting
Items
Systematic
Review
Meta-Analyses
(PRISMA)
protocol
this
paper
explores
intersection
risk
AI.
The
study
highlights
how
AI-driven
methodologies
tools
can
revolutionize
way
risks
managed
throughout
lifecycle.
Specifically,
215
papers
have
been
analysed
explore
scientific
community
has
moving
so
far
on
topic.
Besides,
a
cross-sectional
investigation
PM
processes
AI
categories/tools
was
carried
out
identify
any
path
that
prevalent,
where
prevalence
comes
from,
which
process
or
sector
it
most
successful.
Finally,
from
several
gaps
emerged
research
would
fill
effectively
implement
in
turned
into
opportunities
future
form
agenda.
Transportation Engineering,
Journal Year:
2024,
Volume and Issue:
16, P. 100256 - 100256
Published: June 1, 2024
Road
Traffic
Accidents
(RTAs)
provide
a
substantial
risk
to
both
public
safety
and
infrastructure
within
severe
earthquake
zones.
This
research
aims
thorough
analysis
of
the
many
elements
that
contribute
RTAs
in
area.
Although
on
has
been
conducted
numerous
settings,
there
is
lack
localized
specifically
focused
developing
countries.
Therefore,
this
study
necessary
address
gap
literature.
Our
focuses
examining
distinct
issues
are
particular
specific
location.
The
objective
customized
solutions
effectively
reduce
occurrence
accidents.
examine
status
RTAs,
ascertain
main
factors
contributing
viable
approaches
improve
road
safety.
A
comprehensive
data
was
undertaken,
which
included
examination
key
highways,
accident-prone
areas,
causes
Insights
were
derived
by
use
statistical
analysis,
hotspot
mapping,
categorization
incidents.
results
revealed
distressing
roadway
afflicted
significant
frequency
accidents,
even
those
occurring
prominent
thoroughfares.
Excessive
speed
as
primary
factor,
closely
followed
negligence
recklessness.
common
factor
seen
these
events
insufficient
enforcement
traffic
regulations.
highlights
several
practical
consequences.
Firstly,
it
advised
implement
urgent
actions
such
upgrading
database,
adoption
contemporary
management
software,
rigorous
laws.
establishment
centralized
database
system
crucial
order
enhance
documenting
Furthermore,
cost-benefit
provides
justification
for
calming
measures
locations
with
high
incidence
implementation
continuous
awareness
efforts
clear
legislative
guidelines
pertaining
fatal
accidents
imperative
promoting
enhanced
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(24), P. 11934 - 11934
Published: Dec. 20, 2024
The
integration
of
Artificial
Intelligence
(AI)
and
smart
technologies
into
safety
management
is
a
pivotal
aspect
the
Fourth
Industrial
Revolution
or
Industry
4.0.
This
study
conducts
systematic
literature
review
to
identify
analyze
how
AI
enhance
across
various
sectors
within
Safety
4.0
paradigm.
Focusing
on
peer-reviewed
journal
articles
that
explicitly
mention
“Smart”,
“AI”,
“Artificial
Intelligence”
in
their
titles,
research
examines
key
factors,
such
as
accident
prevention,
risk
management,
real-time
monitoring,
ethical
implementation,
sectors,
including
construction,
industrial
safety,
disaster
public
transport
logistics,
energy
power,
health,
home
living,
other
diverse
industries.
AI-driven
solutions,
predictive
analytics,
machine
learning
algorithms,
IoT
sensor
integration,
digital
twin
models,
are
shown
proactively
mitigate
potential
hazards,
optimize
consumption,
operational
efficiency.
For
instance,
power
sector,
intelligent
gas
meters
automated
fire
suppression
systems
manage
gas-related
risks
effectively,
while
health
AI-powered
monitoring
devices
mental
support
applications
improve
patient
worker
safety.
analysis
reveals
significant
trend
towards
shifting
from
reactive
proactive
facilitated
by
convergence
with
Big
Data
analytics.
Additionally,
considerations
data
privacy
emerge
critical
challenges
adoption
technologies.
highlights
transformative
role
enhancing
protocols,
reducing
rates,
improving
overall
outcomes
It
underscores
need
for
standardized
robust
governance
frameworks,
interdisciplinary
address
existing
maximize
benefits
management.
Future
directions
include
developing
explainable
human–AI
collaboration,
fostering
global
standardization
ensure
responsible
effective
implementation
solutions.
Practice, progress, and proficiency in sustainability,
Journal Year:
2025,
Volume and Issue:
unknown, P. 25 - 50
Published: Jan. 31, 2025
The
case
study
investigates
the
application
of
artificial
intelligence
(AI)
in
enhancing
safety
and
health
protocols
within
educational
environments.
It
highlights
how
AI
technologies
like
sensors,
IoT
devices,
predictive
analytics
are
employed
to
monitor
address
potential
hazards
real
time,
ensuring
a
safer
atmosphere
for
students
staff.
also
addresses
challenges
associated
with
integration,
including
privacy
concerns,
technical
limitations,
high
implementation
costs,
while
proposing
solutions
mitigate
these
issues.
findings
offer
valuable
insights
educators,
policymakers,
school
administrators.
International Journal of Managing Projects in Business,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 6, 2025
Purpose
This
research
seeks
to
systematically
review
studies
on
risk
management
(RM)
in
the
construction
industry,
tracing
its
evolution
from
traditional
approaches
focused
identification,
assessment,
and
mitigation
modern
that
prioritize
sustainability,
resilience,
adaptability.
It
aims
develop
a
clear
definition
of
sustainable
(SRM)
propose
framework
for
implementation
ensure
cost-efficient,
resilient,
flexible
operations.
Design/methodology/approach
A
systematic
literature
review,
guided
by
PRISMA
framework,
analyzed
79
peer-reviewed
articles
(2014–2024)
Scopus,
IEEE
Xplore,
Wiley,
other
databases.
Thematic
grouping
was
used
categorize
key
SRM
components,
identifying
emerging
trends,
gaps,
challenges
adoption.
Findings
The
study
identifies
pillars
attributes,
demonstrating
how
enhances
sustainability
resilience
RM
practices.
proposed
provides
structured
approach
integrating
principles
into
operations,
addressing
barriers
such
as
regulatory
misalignment,
industry
resistance,
technological
integration.
findings
also
highlight
broader
impact
shaping
proactive
future-proof
strategies.
Practical
implications
Construction
firms
policymakers
can
benefit
this
understanding
pillars,
SRM.
practical
guidance
evaluate
improve
their
current
practices,
particularly
complex
enhancing
sustainability.
Policymakers
use
these
insights
align
regulations
with
principles,
supporting
processes
are
both
effective
future-proof.
Additionally,
equips
professionals
tools
enhance
adaptability
long-term
effectiveness.
Originality/value
As
one
first
comprehensive
reviews
consolidates
researchers
practitioners.
advances
discussions
within
highlights
need
empirical
validation,
assessing
role
digital
transformation
By
bridging
theoretical
gaps
applications,
establishes
foundation
future
technology-driven
