The
advancement
of
Large
Language
Models
(LLMs)
has
led
to
their
widespread
use
across
a
broad
spectrum
tasks,
including
decision-making.
Prior
studies
have
compared
the
decision-making
abilities
LLMs
with
those
humans
from
psychological
perspective.
However,
these
not
always
properly
accounted
for
sensitivity
LLMs'
behavior
hyperparameters
and
variations
in
prompt.
In
this
study,
we
examine
performance
on
Horizon
task
studied
by
Binz
Schulz
(2023),
analyzing
how
respond
prompts
hyperparameters.
By
experimenting
three
OpenAI
language
models
possessing
different
capabilities,
observe
that
fluctuate
based
input
temperature
settings.
Contrary
previous
findings,
display
human-like
exploration–exploitation
tradeoff
after
simple
adjustments
Global Business and Organizational Excellence,
Год журнала:
2023,
Номер
43(2), С. 17 - 26
Опубликована: Авг. 2, 2023
Abstract
While
bibliometric
analysis
is
inherently
quantitative
and
objective,
it
necessitates
interpretation,
thereby
introducing
an
element
of
subjectivity.
This
article
proposes
a
sensemaking
approach
that
transitions
researchers
from
mere
description
to
proactive
interpretation
results,
transforming
raw
information
into
informed
insights.
We
discuss
the
applicability
in
offer
practical
guidelines
for
its
integration
systematic
literature
reviews.
These
revolve
around
three‐stage
process—that
is,
scanning,
sensing,
substantiating—each
crucial
deriving
meaningful
interpretations.
As
such,
this
serves
as
valuable
guide
seeking
utilize
potent
analytical
tool
their
review
studies.
Technological Forecasting and Social Change,
Год журнала:
2023,
Номер
199, С. 123076 - 123076
Опубликована: Дек. 14, 2023
With
the
continuous
intervention
of
AI
tools
in
education
sector,
new
research
is
required
to
evaluate
viability
and
feasibility
extant
platforms
inform
various
pedagogical
methods
instruction.
The
current
manuscript
explores
cumulative
published
literature
date
order
key
challenges
that
influence
implications
adopting
models
Education
Sector.
researchers'
present
works
both
favour
against
AI-based
applications
within
Academic
milieu.
A
total
69
articles
from
a
618-article
population
was
selected
diverse
academic
journals
between
2018
2023.
After
careful
review
articles,
presents
classification
structure
based
on
five
distinct
dimensions:
user,
operational,
environmental,
technological,
ethical
challenges.
recommends
use
ChatGPT
as
complementary
teaching-learning
aid
including
need
afford
customized
optimized
versions
tool
for
teaching
fraternity.
study
addresses
an
important
knowledge
gap
how
enhance
educational
settings.
For
instance,
discusses
interalia
range
AI-related
effects
learning
creative
prompts,
training
datasets
genres,
incorporation
human
input
data
confidentiality
elimination
bias.
concludes
by
recommending
strategic
solutions
emerging
identified
while
summarizing
ways
encourage
wider
adoption
other
sector.
insights
presented
this
can
act
reference
policymakers,
teachers,
technology
experts
stakeholders,
facilitate
means
sector
more
generally.
Moreover,
provides
foundation
future
research.
Journal of Tourism Theory and Research,
Год журнала:
2023,
Номер
9(2), С. 61 - 77
Опубликована: Июнь 20, 2023
The
tourism
industry
has
witnessed
significant
transformations
in
recent
years
with
the
integration
of
artificial
intelligence
(AI)
technologies.
This
study
explores
echoes
surrounding
use
ChatGPT
industry,
focusing
on
balance
between
convenience
and
challenges.
findings
presented
this
are
based
interviews
conducted
professionals
from
various
fields
within
industry.
brings
both
challenges
to
forefront.
It
become
apparent
that
discussions
regarding
ChatGPT's
advantages,
such
as
value
creation
for
businesses
customers,
well
its
disadvantages,
lack
human
touch
potential
data
security
risks,
will
persist
European Journal of Marketing,
Год журнала:
2023,
Номер
58(2), С. 373 - 409
Опубликована: Сен. 1, 2023
Purpose
This
paper
aims
to
study
the
role
of
self-concept
in
consumer
relationships
with
anthropomorphised
conversational
artificially
intelligent
(AI)
agents.
First,
authors
investigate
how
self-congruence
between
and
AI
integration
agent
into
might
influence
such
relationships.
Second,
examine
whether
these
links
have
implications
for
mental
well-being.
Design/methodology/approach
conducted
in-depth
interviews
20
consumers
who
regularly
use
popular
agents
functional
or
emotional
tasks.
Based
on
a
thematic
analysis
an
ideal-type
analysis,
this
derived
taxonomy
consumer–AI
relationships,
self–AI
as
two
axes.
Findings
The
findings
unveil
four
different
that
forge
their
agents,
which
differ
integration.
Both
dimensions
are
prominent
replacement
committed
where
rely
companionship
tasks
personal
growth
means
overcoming
past
traumas.
These
carry
well-being
risks
terms
changing
expectations
seek
fulfil
human-to-human
Conversely,
relationship,
viewed
important
part
one’s
professional
performance;
however,
maintain
low
sense
distinguish
themselves
from
agent,
also
because
fear
losing
uniqueness
autonomy.
Consumers
aspiring
remedy
social
exclusion
loneliness,
but
feel
is
prevented
agents’
technical
limitations.
Research
limitations/implications
Although
provides
insights
dynamics
it
comes
sample
included
users
Siri,
Google
Assistant
Replika.
However,
future
studies
should
other
ChatGPT.
Moreover,
self-related
processes
studied
here
could
be
compared
across
public
private
contexts.
There
need
complex
longitudinal
studies.
research
explore
consumers’
negatively
affected
if
support
provided
by
withdrawn.
Finally,
reveals
some
cases,
related
based
interactions
Practical
enables
practitioners
identify
specific
anthropomorphic
cues
can
development
types
consider
consequences
range
aspects.
Originality/value
equips
marketing
scholars
novel
understanding
associated
implications.
Smart Cities,
Год журнала:
2024,
Номер
7(4), С. 1576 - 1625
Опубликована: Июнь 28, 2024
In
an
era
marked
by
rapid
technological
progress,
the
pivotal
role
of
Artificial
Intelligence
(AI)
is
increasingly
evident
across
various
sectors,
including
local
governments.
These
governmental
bodies
are
progressively
leveraging
AI
technologies
to
enhance
service
delivery
their
communities,
ranging
from
simple
task
automation
more
complex
engineering
endeavours.
As
governments
adopt
AI,
it
imperative
understand
functions,
implications,
and
consequences
these
advanced
technologies.
Despite
growing
importance
this
domain,
a
significant
gap
persists
within
scholarly
discourse.
This
study
aims
bridge
void
exploring
applications
context
government
provision.
Through
inquiry,
seeks
generate
best
practice
lessons
for
smart
city
initiatives.
By
conducting
comprehensive
review
grey
literature,
we
analysed
262
real-world
implementations
170
worldwide.
The
findings
underscore
several
key
points:
(a)
there
has
been
consistent
upward
trajectory
in
adoption
over
last
decade;
(b)
China,
US,
UK
at
forefront
adoption;
(c)
among
technologies,
natural
language
processing
robotic
process
emerge
as
most
prevalent
ones;
(d)
primarily
deploy
28
distinct
services;
(e)
information
management,
back-office
work,
transportation
traffic
management
leading
domains
terms
adoption.
enriches
existing
body
knowledge
providing
overview
current
sphere
governance.
It
offers
valuable
insights
policymakers
decision-makers
considering
adoption,
expansion,
or
refinement
urban
Additionally,
highlights
using
guide
successful
integration
optimisation
future
projects,
ensuring
they
meet
evolving
needs
communities.
Abstract
Artificial
intelligence
(AI)-based
virtual
influencers
are
now
frequently
used
by
brands
in
various
categories
to
engage
customers.
However,
little
is
known
about
who
the
followers
of
these
AI-based
and
more
importantly,
what
drives
use
influencers.
The
results
from
a
survey
support
notion
that
compensatory
mechanisms
need
belong
play
important
roles
affecting
usage
intentions
Specifically,
study
finds
mediated
moderated
arise
perception
influencers’
functional
benefits
existential
threats
human
identity.
Furthermore,
for
belonging
moderates
effects
following
status
(following
versus
non-following)
on
perceived
personalization
behavioral
This
provides
implications
academia
delving
into
social,
cultural,
philosophical
societies
as
well
plan
gain
better
understanding
their
customers
AI-driven
digital
marketing.
