Frontiers in Sustainable Food Systems,
Год журнала:
2024,
Номер
8
Опубликована: Июль 2, 2024
This
research
aims
to
clarify
consumer
purchase
intentions
(PIs)
for
organic
food
(OF)
in
China
by
investigating
factors,
including
consumers’
safety
consciousness
(FSC),
health
(HC),
and
attitude
(AT)
toward
OF.
To
collect
data
this
study,
online
surveys
were
carried
out
sequentially
among
350
respondents,
partial
least
squares
structural
equation
modeling
(PLS-SEM)
was
employed
test
the
proposed
hypotheses
regarding
direct
indirect
effect
of
FSC
on
PI
sequential
mediating
HC
AT.
The
findings
indicate
that
strongly
influences
their
intention
OF
is
mediated
also
significantly
impacted
AT,
AT
directly
PI.
Through
multiple
group
analyses,
path
from
found
be
moderated
education.
Accordingly,
suggestions
businesses
future
are
provided
improve
public
health.
International Journal of Disaster Risk Reduction,
Год журнала:
2023,
Номер
98, С. 104123 - 104123
Опубликована: Ноя. 1, 2023
Disasters
can
have
devastating
impacts
on
communities
and
economies,
underscoring
the
urgent
need
for
effective
strategic
disaster
risk
management
(DRM).
Although
Artificial
Intelligence
(AI)
holds
potential
to
enhance
DRM
through
improved
decision-making
processes,
its
inherent
complexity
"black
box"
nature
led
a
growing
demand
Explainable
AI
(XAI)
techniques.
These
techniques
facilitate
interpretation
understanding
of
decisions
made
by
models,
promoting
transparency
trust.
However,
current
state
XAI
applications
in
DRM,
their
achievements,
challenges
they
face
remain
underexplored.
In
this
systematic
literature
review,
we
delve
into
burgeoning
domain
XAI-DRM,
extracting
195
publications
from
Scopus
ISI
Web
Knowledge
databases,
selecting
68
detailed
analysis
based
predefined
exclusion
criteria.
Our
study
addresses
pertinent
research
questions,
identifies
various
hazard
types,
components,
methods,
uncovers
limitations
these
approaches,
provides
synthesized
insights
explainability
effectiveness
decision-making.
Notably,
observed
significant
increase
use
2022
2023,
emphasizing
interpretability.
Through
rigorous
methodology,
offer
key
directions
that
serve
as
guide
future
studies.
recommendations
highlight
importance
multi-hazard
analysis,
integration
early
warning
systems
digital
twins,
incorporation
causal
inference
methods
strategy
planning
effectiveness.
This
serves
beacon
researchers
practitioners
alike,
illuminating
intricate
interplay
between
revealing
profound
solutions
revolutionizing
management.
Sustainability,
Год журнала:
2021,
Номер
13(22), С. 12691 - 12691
Опубликована: Ноя. 16, 2021
To
date,
tourism
is
the
fastest
growing
industry
globally,
but
one
of
least
developed
in
terms
environmentally
sustainable
practices.
However,
only
a
small
portion
documents
elaborate
on
how
introduction
new
technologies
can
impact
more
development
route
for
tourism.
This
study’s
objective
to
provide
an
overview
literature
state-of-the-art
related
and
technological
innovations,
offering
insights
further
advancing
this
domain.
We
employ
bibliometric
analysis
comprehensive
review
139
articles,
collected
from
Web
Science
Scopus
databases,
purpose
of:
(i)
exploring
discussing
most
relevant
contributions
publication
network:
(ii)
highlighting
key
issues
emerging
topics;
(iii)
uncovering
open
questions
future.
Our
findings
reveal
contradictory
views
risks
benefits
technology
adoption.
Artificial
intelligence,
internet
things,
circular
economy,
big
data,
augmented
virtual
reality
emerge
as
major
trends.
Five
work
streams
are
identified
described,
leading
broader
perspective
shape
future
Relevant
theoretical
managerial
implications
derived.
Finally,
research
agenda
proposed
guidance
studies
addressing
outcomes
digital
disruption
International Journal of Production Research,
Год журнала:
2023,
Номер
62(10), С. 3415 - 3434
Опубликована: Июль 20, 2023
The
COVID-19
pandemic
exposed
the
vulnerabilities
of
global
supply
chains
(SCs)
and
highlighted
need
for
more
resilient
viable
SCs.
Panic-buying,
in
particular,
has
been
a
major
challenge
SCs
as
it
can
create
sudden
surges
demand
that
are
difficult
to
anticipate
manage.
However,
literature
lacks
SC
models
strategies
address
panic-buying
related
challenges.
As
such,
this
research
aims
identify
model
recovery
increase
SC's
agility,
resilience,
survivability
reduce
panic-buying's
impact
during
large-scale
disruption
critical
This
study
contributes
by
developing
an
integrated
agent-based
modeling
(ABM)
optimisation
method
simulate
behaviour
under
different
scenarios
evaluating
effectiveness
four
proposed
three
plans.
findings
reveal
increasing
production
at
decentralised
manufacturing
facilities
be
achieved
order
frequency
multiple
suppliers
partnering
with
third-party
transporters,
which
mitigate
effects
panic-buying.
results
higher
output
availability
essential
goods
market,
significantly
managing
Lastly,
recommends
practical
solutions
businesses
enhance
their
SCs'
responsiveness
from
Cogent Business & Management,
Год журнала:
2024,
Номер
11(1)
Опубликована: Апрель 4, 2024
This
research
investigates
the
ethical
and
privacy
issues
arising
from
using
AI
andML
in
neuromarketing,
framed
by
rule
utilitarianism.
It
assesses
impact
of
these
technologies
on
consumerprivacy
human
rights
through
a
combination
literature
review,
bibliometric
analysis,
empirical
data
fromsurveys
interviews
with
experts
US
Spain.
The
study
reveals
tensions
between
efficacy
ofneuromarketing
techniques
imperative
to
protect
consumer
privacy,
particularly
light
GDPR'sinfluence
global
practices.
emphasizes
need
for
internationally
consistent
standards
consumerdata
regulations,
drawing
comparative
analysis
policies
EU.
outcomes
include
policyrecommendations
minimize
risks
promote
responsible
progression
neuromarketing.
Theserecommendations
guide
companies
managers
toward
transparency
accountability.
Additionally,
theresearch
offers
policy
framework
crafting
neuromarketing
practices
that
reconcile
technological
progresswith
well-being,
thereby
contributing
broader
discussions
embedding
ethics
within
innovation.
