Large
language
models
(LLMs)
like
ChatGPT
have
been
widely
adopted
in
work
contexts.
We
explore
the
impact
of
on
young
professionals'
perception
productivity
and
sense
accomplishment.
collected
LLMs'
main
use
cases
knowledge
through
a
preliminary
study,
which
served
as
basis
for
two-week
diary
study
with
21
professionals
reflecting
their
use.
Findings
indicate
that
enhanced
some
participants'
perceptions
accomplishment
by
enabling
greater
creative
output
satisfaction
from
efficient
tool
utilization.
Others
experienced
decreased
perceived
accomplishment,
driven
diminished
ownership,
lack
challenge,
mediocre
results.
found
suitability
task
delegation
to
varies
strongly
depending
nature.
It's
especially
suitable
comprehending
broad
subject
domains,
generating
solutions,
uncovering
new
information.
less
research
tasks
due
hallucinations,
necessitate
extensive
validation.
Business Horizons,
Journal Year:
2024,
Volume and Issue:
67(5), P. 615 - 627
Published: May 24, 2024
The
new
generative
AI
paradigm
offers
unprecedented
opportunities
for
users
to
tap
into.
capabilities
are
increasingly
helpful
in
creative
and
knowledge-intensive
domains
that
have
long
been
considered
a
territory
of
human
expertise.
breed
chatbots
is
based
on
large
language
models,
they
overcome
many
constraints
plague
the
everyday
use
previous
technologies.
This
article
employs
theory
affordances
understand
how
ChatGPT
facilitates
(i.e.,
affords)
disaffords)
usefulness
chatbots.
We
further
divide
two
distinct
yet
interrelated
dimensions
affordances:
creational
conversational.
Using
29
interviews
with
professionals
using
various
sectors,
we
identify
three
(content
creation
enhancement,
knowledge
acquisition
creativity
augmentation,
task
automation)
conversational
(contextual
sensitivity,
interactive
accessibility,
human–AI
workflow
synergy)
affordances.
Creational
refer
system's
ability
produce
novel
outputs
as
well
automate
routine
work,
whereas
encompass
variety
interaction
possibilities
an
system.
Interestingly,
both
also
involve
disaffordances
limit
types
systems.
Furthermore,
introduce
integrated
framework
shows
reinforce
each
other
via
meta-affordances
accumulation,
adaptability.
illustrate
our
findings
practical
examples
offer
guidelines
these
emerging
company
settings.
Business Horizons,
Journal Year:
2024,
Volume and Issue:
67(5), P. 561 - 570
Published: April 24, 2024
This
article
focuses
on
how
recent
advances
in
artificial
intelligence
(AI),
particularly
chatbots
based
large
language
models
(LLMs),
such
as
ChatGPT,
can
be
used
for
innovation
purposes.
The
begins
with
a
brief
overview
of
the
development
and
characteristics
generative
AI
(GenAI).
Elaborating
implications
GenAI,
we
provide
examples
to
demonstrate
four
mechanisms
LLMs:
translation,
summarization,
classification,
amplification.
These
inform
framework
that
highlights
LLMs
enable
creation
innovative
solutions
organizations
through
capacities
two
dimensions:
context
awareness
content
awareness.
strength
lies
combination
both
these
dimensions,
which
enables
them
comprehend
amplify
content.
Four
managerial
suggestions
are
presented,
ranging
from
starting
out
small-scale
projects
data
exploration,
scaling
integration
efforts
educating
prompt
engineers.
By
presenting
framework,
recommendations,
use
cases
various
contexts,
contributes
emerging
literature
GenAI
innovation.
Kybernetes,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 20, 2024
Purpose
Generative
AI
and
more
specifically
ChatGPT
has
brought
a
revolution
in
the
lives
of
people
by
providing
them
with
required
knowledge
that
it
learnt
from
an
exponentially
large
base.
In
this
viewpoint,
we
are
initiating
debate
offer
first
step
towards
based
management
systems
organizations.
Design/methodology/approach
This
study
is
viewpoint
develops
conceptual
foundation
using
existing
literature
on
how
can
enhance
KM
capability
Nonaka’s
SECI
model.
It
further
supports
concept
collecting
data
public
sector
univesity
Hong
Kong
to
strenghten
our
argument
mediated
system.
Findings
We
posit
all
four
processes,
Socialization,
Externalization,
Combination
Internalization
significantly
improve
when
integrated
ChatGPT.
users
are,
general,
satisfied
use
being
capable
facilitating
generation
flow
Research
limitations/implications
The
provides
be
within
organizations
Further,
understanding
managers
executives
for
effective
through
improving
processes
Originality/value
one
earliest
studies
linkage
lays
system
Intelligent Pharmacy,
Journal Year:
2024,
Volume and Issue:
2(3), P. 392 - 414
Published: March 23, 2024
The
modern
language
generation
model
ChatGPT,
created
by
Open
Artificial
Intelligence
(AI),
is
recognised
for
its
capacity
to
comprehend
context
and
produce
pertinent
content.
This
built
on
the
transformer
architecture,
which
enables
it
process
massive
volumes
of
data
text
that
both
cohesive
illuminating.
Service
a
crucial
component
everywhere
as
provides
basis
establishing
client
rapport
offering
aid
support.
In
healthcare,
application
ChatGPT
patient
service
support
has
been
one
most
significant
advances
in
recent
years.
can
help
overcome
obstacles
improve
satisfaction
facilitating
communication
with
healthcare
personnel
understanding
care.
It
assist
enhancing
entire
experience
personalised
information
patients
making
more
straightforward
them
communicate
professionals.
Its
goal
be
expedite
streamline
promptly
accurately
responding
customers.
Businesses
all
sizes
increasingly
use
since
allows
provide
24/7
customer
without
requiring
human
contact.
paper
briefly
discusses
need
better
services.
Various
perspectives
improving
services
through
are
discussed.
article
also
discussed
major
key
enablers
refining
assistance.
Further,
identifies
critical
areas
service.
With
ability
handle
several
requests
simultaneously,
respond
quickly
questions,
gain
knowledge
from
every
interaction,
revolutionising
accessibility
compatibility
various
channels
make
desirable
solution
businesses
looking
As
technology
advances,
positioned
become
an
essential
tool
wishing
speedy
customised
Although
may
give
convincing
solutions,
chance
providing
accurate
updated
poses
problem
usage
jobs
up-to-date
information.
future,
will
efficient
due
AI.
Advances in media, entertainment and the arts (AMEA) book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 45 - 71
Published: April 1, 2024
Generative
AI,
such
as
generative
pre-trained
transformer
(GPT),
has
seen
rapid
advancements
in
recent
years,
offering
a
wide
range
of
applications,
but
it
also
presents
several
challenges
and
opportunities.
GPT
can
automate
content
generation
for
various
industries,
including
journalism,
marketing,
entertainment,
reducing
the
need
manual
creation.
AI
personalize
recommendations
e-commerce,
streaming
services,
more,
enhancing
user
experiences.
GPT,
offers
immense
potential
across
sectors
requires
careful
management
to
address
bias,
ethics,
quality
control
challenges.
As
technology
evolves,
finding
right
balance
between
creativity
will
be
crucial
maximizing
its
benefits
while
minimizing
risks.
Based
on
above,
authors
systematically
review
bibliometric
literature
how
applications
challenge
opportunities
using
Scopus
database
by
analysing
49
academic
and/or
scientific
documents.
IEEE Transactions on Affective Computing,
Journal Year:
2024,
Volume and Issue:
15(3), P. 1769 - 1785
Published: March 8, 2024
The
advent
of
Artificial
Intelligence
(AI)
technologies
has
precipitated
the
rise
asynchronous
video
interviews
(AVIs)
as
an
alternative
to
conventional
job
interviews.
These
one-way
are
conducted
online
and
can
be
analyzed
using
AI
algorithms
automate
speed
up
selection
procedure.
In
particular,
swift
advancement
Large
Language
Models
(LLMs)
significantly
decreased
cost
technical
barrier
developing
systems
for
automatic
personality
interview
performance
evaluation.
However,
generative
task-unspecific
nature
LLMs
might
pose
potential
risks
biases
when
evaluating
humans
based
on
their
AVI
responses.
this
study,
we
a
comprehensive
evaluation
validity,
reliability,
fairness,
rating
patterns
two
widely-used
LLMs,
GPT-3.5
GPT-4,
in
assessing
from
AVI.
We
compared
ratings
with
task-specific
model
human
annotators
simulated
responses
685
participants.
results
show
that
achieve
similar
or
even
better
zero-shot
validity
predicting
traits.
verbal
explanations
traits
generated
by
interpretable
items
designed
according
psychological
theories.
also
suffered
uneven
across
different
traits,
insufficient
test-retest
emergence
certain
biases.
Thus,
it
is
necessary
exercise
caution
applying
human-related
application
scenarios,
especially
significant
decisions
such
employment.
Journal of Computer Information Systems,
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 15
Published: Dec. 14, 2023
Generative
Artificial
Intelligence
(AI)
tools
like
ChatGPT
offer
significant
potential
in
the
corporate
world
and
organizational
leadership.
Organizations
are
actively
integrating
AI
(GenAI)
into
their
operations
to
leverage
its
benefits.
However,
research
is
yet
explore
factors
supporting
continuity
of
GenAI-powered
Optimization
(GenAI-OI)
processes
contexts.
This
study
seeks
address
this
gap
by
focusing
on
challenges
standardizing
such
optimization
intelligence
systems.
It
utilizes
Normalization
Process
Theory
(NPT)
facilitate
a
theoretical
exploration
standardization
process.
From
both
practical
standpoint,
it
elucidates
how
NPT
can
be
applied
provide
structured
framework
for
understanding
theorizing
involved
embedding
sustaining
GenAI-OI
systems,
which
play
pivotal
role
shaping
future
agility.
endeavors
uncover
valuable
insights
organizations
seeking
not
only
adopt
but
sustain
technology
effectively.
