Deleted Journal,
Journal Year:
2024,
Volume and Issue:
6(9)
Published: Aug. 27, 2024
Abstract
The
integration
of
the
metaverse
into
real
estate
and
construction
industry
reveals
various
potentials,
but
also
challenges.
increasing
digitization
in
architecture,
engineering,
construction,
operation
(AECO)
sector
requires
a
critical
examination
aspects
such
as
metaverse.
This
paper
is
dedicated
to
examining
impact
on
industry.
following
specialist
article
primarily
aimed
at
target
group
AECO
sector,
with
aim
gaining
an
initial
overview
opinions
within
this
sector.
methodology
used
includes
in-depth
literature
review
representative
survey.
Respondents
from
different
age
groups
areas
activity
took
part
research
questions
are
identifying
range
applications
industry,
assessing
their
potential
business
develop
definitions
use
cases
create
In
context,
opportunities
risks
will
be
examined
derive
recommendations
for
effective
results
conducted
indicate
that
there
still
considerable
uncertainty
It
appears
term
“metaverse”
associated
through
targeted
not
yet
widespread
survey
participants
recognize
3D
visualizations
extends
over
entire
life
cycle
buildings.
An
exemplary
scenario
both
during
planning
phase
marketing.
challenges
identified
shed
light
uncertainties
relating
data
protection,
privacy,
influence
internet.
study
reveal
high
level
ignorance
when
it
comes
understanding
Based
results,
further
studies
needed
establish
Conducting
workshops
specifically
can
help
deepen
possible
cases.
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
Journal of Infrastructure Intelligence and Resilience,
Journal Year:
2023,
Volume and Issue:
3(1), P. 100065 - 100065
Published: Nov. 7, 2023
The
construction
sector
is
now
experiencing
a
significant
transformation,
primarily
motivated
by
the
need
to
enhance
operational
efficiency
and
promote
sustainable
practices.
emergence
of
blockchain
technology
has
been
seen
as
disruptive
factor
that
potential
fundamentally
transform
field
supply
chain
management
within
industry.
Nevertheless,
extent
which
this
revolutionized
yet
be
extensively
investigated.
primary
objective
study
address
existing
research
void
examining
impact
on
enhancing
capabilities
building
chains.
This
employs
thorough
examination
empirical
case
studies
survey
conducted
among
136
industry
professionals
explore
many
functions
in
augmenting
efficiency,
transparency,
traceability
constructs
were
found
having
implementation
for
chains
are,
Transparency
Traceability
(β
=
0.202,
ρ
0.000,
t
42.560),
Smart
Contracts
Automation
0.232,
62.596),
Quality
Assurance
Compliance
0.230,
64.704),
Dispute
Resolution
Accountability
0.235,
79.533),
Supplier
Management
Verification
0.251,
49.404).
Applications in Engineering Science,
Journal Year:
2023,
Volume and Issue:
16, P. 100160 - 100160
Published: Oct. 21, 2023
The
implementation
of
3D
laser
scanning
technology
within
the
architecture,
engineering,
and
construction
(AEC)
sector
possesses
capability
to
enhance
project
efficacy
precision.
Nevertheless,
there
exist
various
obstacles
that
impede
their
extensive
adoption.
This
study
investigates
key
challenges
affecting
adoption
in
industry.
employed
a
mixed-method
methodology
involved
exploratory
factor
analysis
(EFA)
structural
equation
modelling
(SEM)
examine
survey
data
collected
from
professionals
operating
results
reveal
significant
technical,
operational,
awareness,
economic
challenges.
Technical
include
processing
complexity,
limited
resources,
compatibility
issues.
integration
perceived
risks
present
operational
Awareness
relate
legal
factors
change
aversion.
Economic
encompass
affordability
time-consuming
acquisition.
ramifications
for
industry
are
significant.
Managers
should
invest
training
programs,
awareness
campaigns,
cost-effective
solutions.
Future
research
expand
sample
size
long-term
effects.
Addressing
these
will
enable
AEC
fully
leverage
potential
scanners,
enhancing
outcomes
efficiency
built
environment.
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
Developments in the Built Environment,
Journal Year:
2024,
Volume and Issue:
17, P. 100347 - 100347
Published: Feb. 1, 2024
In
recent
times,
there
has
been
a
notable
increase
in
the
focus
on
use
of
Building
Information
Modelling
(BIM)
within
Architecture,
Engineering,
and
Construction
(AEC)
industry.
This
study
aims
to
fill
void
current
body
literature
by
examining
connections
between
implementation
BIM
factors
that
influence
it.
Additionally,
it
investigates
resulting
effects
collaboration,
continuous
improvement,
data
management,
gradual
adoption,
standardisation,
various
dimensions
society,
economy,
politics,
technology.
examines
impact
adoption
AEC
sector,
focusing
its
external
environment
using
Political,
Economic,
Social,
Technological
(PEST)
approach.
Using
quantitative
approach,
was
gathered
means
survey
questionnaire
delivered
sample
216
professionals
business,
who
were
chosen
purposive
selection.
The
results
suggest
deployment
cooperation,
effective
acceptance,
leading
positive
outcomes
several
areas
such
as
social,
economic,
political,
technical.
These
findings
have
significant
consequences
for
working
field.
Computers & Industrial Engineering,
Journal Year:
2024,
Volume and Issue:
193, P. 110315 - 110315
Published: June 18, 2024
Recent
years
have
witnessed
the
emergence
of
digital
twins
in
industrial
metaverse,
significantly
transforming
sectors
such
as
manufacturing,
automotive,
oil
and
gas,
gaming.
As
a
result,
these
experienced
increased
efficiency,
innovation,
revolutionary
solutions.
Non-fungible
tokens
(NFTs)
potential
to
enhance
metaverse
by
offering
opportunities
for
monetization,
traceability,
tracking.
Moreover,
NFTs
can
reshape
way
industries
operate
providing
superior
transparency,
asset
management,
intellectual
property
protection.
This
paper
explores
different
types
NFTs,
including
dynamic
composable
various
applications
within
that
heavily
relies
on
twins.
We
present
use
cases
where
play
major
role.
Specifically,
we
design,
implement,
test
two
involving
NFTs.
The
data
processing
methods
include
algorithm
development,
simulation,
empirical
testing
framework.
Finally,
identify
open
research
areas
future
directions
metaverse.
Journal of Consumer Behaviour,
Journal Year:
2024,
Volume and Issue:
23(5), P. 2472 - 2485
Published: May 13, 2024
Abstract
Metaverse
is
an
emergent
technology
that
facilitates
consumer
interaction
and
participation
in
various
activities
within
integrated
virtual
environment.
Considering
the
Metaverse's
swift
growth,
comprehension
of
perspectives
inclinations
its
prospective
users
critical.
configuration
complexity
theories,
this
article
examines
causal
patterns
factors
fragmented
concerning
using
applications
(M‐apps).
It
does
so
by
examining
how
functional
(ease
use,
privacy),
social
(interactivity,
presence),
personality
(locus
control,
openness
to
experience)
combine
as
configurations
describe
adoption
(MTA).
Hence,
fuzzy‐set
qualitative
comparative
analysis
employed
empirically
examine
proposed
configurational
model
analyzing
a
sample
372
Chinese
consumers
different
M‐Apps.
The
notable
MTA
was
determined
be
explained
under
four
distinct
solutions
with
varying
function,
social,
combinations.
findings
paper's
constitute
scholarly
practical
contribution
acceptance
M‐apps,
allowing
for
customization
functionality
meet
every
consumer's
needs.
Advances in logistics, operations, and management science book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 119 - 156
Published: Jan. 24, 2025
This
chapter
aims
to
provide
actionable
strategies
for
empowering
leaders
in
leveraging
technology
amplify
their
leadership
efficacy
contemporary
business
environments
by
employing
extensive
literature
review
and
deep
learning
models,
a
method
Artificial
Intelligence
(AI).
It
investigates
the
effectiveness
of
three
approaches—Transformational,
Transactional,
Servant
Leadership—in
meeting
high-performance
expectations
within
organizational
contexts.
The
performance
these
styles
based
on
scores
have
been
analyzed
using
data
analysis
techniques
neural
network
including
Generative
Adversarial
Networks
(GANs)
Variational
Autoencoders
(VAEs).
Furthermore,
Deep
Convolutional
(DCGANs),
utilized
visualize
complex
dynamics.
findings
from
this
comprehensive
valuable
insights
into
strengths
limitations
each
approach,
guiding
strategic
development
initiatives
decision-making
processes.