Advances in hospitality, tourism and the services industry (AHTSI) book series,
Год журнала:
2024,
Номер
unknown, С. 211 - 232
Опубликована: Ноя. 1, 2024
This
chapter
examines
the
multifaceted
impacts
of
AI
adoption
in
natural
reserves,
exploring
both
benefits
and
challenges.
On
positive
side,
AI-powered
tools
can
assist
real-time
monitoring
wildlife
populations,
habitat
conditions,
visitor
numbers,
enabling
timely
data-driven
decision-making
for
conservation.
AI-based
personalization
experiences
also
improve
engagement
education.
However,
relying
on
algorithms
raises
issues
related
to
data
privacy,
algorithmic
bias,
potential
disruption
ecosystems
through
excessive
interventions.
Through
a
review
academic
literature,
this
provides
balanced
analysis
advantages
disadvantages
integration
reserves.
The
findings
aim
guide
policymakers,
conservation
practitioners,
technology
researchers
navigating
complex
landscape
AI-enabled
nature
The
integration
of
Artificial
Intelligence
(AI)
into
various
sectors
has
reshaped
how
societies
address
environmental
challenges
and
pursue
sustainable
development.
In
India,
a
country
grappling
with
complex
issues
amidst
rapid
technological
advancement,
understanding
the
implications
AI
on
environment
development
is
crucial.
This
paper
explores
multifaceted
impact
sustainability
in
delving
its
potential
benefits,
challenges,
path
forward.
By
conducting
thorough
examination
available
literature,
case
studies
policy
frameworks,
this
aims
to
provide
comprehensive
insights
can
be
leveraged
concerns
foster
Indian
context.
International Journal of Applied Research in Social Sciences,
Год журнала:
2024,
Номер
6(5), С. 861 - 890
Опубликована: Май 12, 2024
This
study
provides
a
comprehensive
review
of
the
influence
voice-activated
technologies,
particularly
voice
assistants,
on
consumer
behavior
and
brand
loyalty
in
United
States.
The
primary
objective
is
to
understand
how
these
emerging
technologies
are
reshaping
shopping
habits
dynamics
brand-consumer
interactions.
methodology
encompasses
thorough
analysis
peer-reviewed
academic
journals,
industry
reports,
case
studies,
supplemented
by
secondary
sources
such
as
market
analyses
news
articles.
Key
findings
reveal
that
assistants
have
induced
significant
paradigm
shift
behavior,
characterized
changes
purchasing
patterns,
decision-making
processes,
convenience
personalized
experience
offered
led
increased
impulse
buying
experimentation.
However,
this
accompanied
challenges
data
privacy
security.
also
highlights
rapid
evolution
engagement,
with
advancements
AI
machine
learning
enhancing
personalization
efficiency.
Strategically,
recommends
brands
retailers
invest
search
optimization,
develop
secure
practices,
collaborate
technology
developers
create
engaging
experiences.
concludes
while
present
substantial
opportunities
for
enhanced
they
pose
require
careful
navigation,
maintaining
trust
ethical
standards.
Future
research
directions
include
exploring
long-term
effects
impact
demographic
factors
adoption
assistants.
Keywords:
Voice
Assistants,
Consumer
Behavior,
Brand
Loyalty,
Voice-Activated
Technologies.
Advances in hospitality, tourism and the services industry (AHTSI) book series,
Год журнала:
2024,
Номер
unknown, С. 113 - 148
Опубликована: Окт. 15, 2024
As
global
tourism
rises,
wildlife
habitats
deteriorate,
leading
to
human-animal
competition
and
a
surge
in
illegal
activities
threatening
conservation.
This
necessitates
new
conservation
approaches.
Effective
is
crucial
for
sustainable
leaving
legacy.
chapter
explores
AI's
role
enhancing
through
as
well
maps
the
research
landscape.
Literature
review
science
mapping
using
Scopus
VOSviewer
revealed
growing
interest
this
field
post-2010.
Limited
empirical
addresses
intersection
of
AI,
tourism,
comprehensively.
Future
should
focus
on
AI
solutions
conservation,
continues
revolutionise
various
disciplines
systems.
Landscape and Ecological Engineering,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 24, 2024
Abstract
In
an
era
where
global
biodiversity
hotspots
are
under
unprecedented
threat,
understanding
the
intricate
balance
between
land
use
cover
(LULC)
changes
and
their
implications
on
ecosystem
services
value
(ESV)
becomes
paramount.
The
region
of
Jammu
Kashmir,
with
its
distinctive
ecological
importance,
is
well
known
for
these
challenges
opportunities.
This
embodies
various
conservation
reserves
national
parks,
one
most
ecologically
rich
called
Kishtwar
High
Altitude
National
Park.
It
often
considered
example
richness
in
Indian
subcontinent,
as
it
protects
a
myriad
species
provides
essential
services.
However,
despite
significance,
faces
pressures
from
both
peripheral
human
activities,
such
seasonal
grazing
by
nomadic
communities
broader
climatic
changes.
study
aims
to
investigate
complex
relationship
LULC
shifts
consequent
effects
park’s
ESV.
We
used
cellular
automata
(CA)–Markov
model
simulate
future.
Using
1992
2020
projecting
2030,
2040,
2050,
we
employed
coefficient
method
understand
ESV
contributions
different
types.
Our
results
revealed
7.43%
increase
2020,
largely
due
forests
waterbodies.
contrast,
our
projections
2050
intimate
7.55%
decline
ESV,
even
amidst
anticipated
grassland
expansion.
These
highlight
role
securing
resilient
findings
shall
help
offer
informed
strategies,
that
relevant
regionally
globally.
Advances in hospitality, tourism and the services industry (AHTSI) book series,
Год журнала:
2024,
Номер
unknown, С. 211 - 232
Опубликована: Ноя. 1, 2024
This
chapter
examines
the
multifaceted
impacts
of
AI
adoption
in
natural
reserves,
exploring
both
benefits
and
challenges.
On
positive
side,
AI-powered
tools
can
assist
real-time
monitoring
wildlife
populations,
habitat
conditions,
visitor
numbers,
enabling
timely
data-driven
decision-making
for
conservation.
AI-based
personalization
experiences
also
improve
engagement
education.
However,
relying
on
algorithms
raises
issues
related
to
data
privacy,
algorithmic
bias,
potential
disruption
ecosystems
through
excessive
interventions.
Through
a
review
academic
literature,
this
provides
balanced
analysis
advantages
disadvantages
integration
reserves.
The
findings
aim
guide
policymakers,
conservation
practitioners,
technology
researchers
navigating
complex
landscape
AI-enabled
nature
