Entrepreneurship Theory and Practice,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 17, 2024
Entrepreneurship
has
entered
a
new
era
shaped
by
artificial
intelligence
(AI),
demanding
accelerated
scholarly
advances
to
keep
pace
with
this
transformative
technology—yet
demands
that
academics
bridge
the
gap
between
AI
revolution’s
ambiguities
and
meaningful
contributions.
To
motivate
guide
future
research
on
AI’s
role
in
entrepreneurship,
we
introduce
an
ongoing
special
issue
Theory
Practice
(
ETP)
outline
multiple
compelling
opportunities
for
research.
Unlike
typical
editorials,
offer
prospective
vision—rather
than
retrospective,
after
articles
have
been
accepted
published—at
project’s
outset,
empower
field
prospect
establish
foundations
relatively
uncharted
world
of
domain
entrepreneurship.
Accordingly,
highlight
“AI
PEN”
(Prospecting
Establishing
Nexus)
as
desirable
approach
advance
literature
going
forward.
We
hope,
anticipate,
our
invitation
submit
proposals
facilitates
novel
empirical
well
theory-focused
contributions
literature.
International Journal of Applied Pharmaceutics,
Journal Year:
2025,
Volume and Issue:
unknown, P. 101 - 111
Published: May 7, 2025
Artificial
Intelligence
(AI)
is
transforming
the
drug
development
and
Clinical
Trials
by
improving
efficiency,
accuracy,
decision-making.
AI
predicts
Pharmacokinetic
(PK)
Pharmacodynamic
(PD)
properties,
automates
compound
screening
enhances
clinical
testing
throughput.
In
trial
design,
optimizes
patient
stratification
outcome
prediction
analyzing
vast
datasets
from
previous
trials
electronic
health
records,
leading
to
cost-effective
adaptive
trials.
also
facilitates
real-time
data
monitoring,
identifying
discrepancies
early
ensure
integrity
regulatory
compliance.
By
integrating
diverse
sources
it
streamlines
operations,
reducing
human
error
manual
workload.
However,
challenges
persist
in
quality
integration
due
varying
standards
across
sources,
necessitating
advanced
harmonization
techniques.
Regulatory
frameworks
often
lag
behind
advancements,
creating
uncertainty
potential
delays.
Ethical
concerns,
including
privacy
security,
must
be
addressed
for
responsible
implementation.
Establishing
standardized
protocols
ensuring
alignment
are
critical
AI’s
successful
into
research.
conclusion,
revolutionizes
trials,
enhancing
efficiency
accuracy.
overcoming
data,
regulatory,
ethical
essential
its
widespread
adoption.
SSRN Electronic Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 1, 2024
As
using
generative
artificial
intelligence
(GenAI)
becomes
more
common
in
creative
work,
the
disclosure
of
GenAI
involvement
to
recipients
created
artifacts
is
often
advocated
address
social,
legal,
and
ethical
concerns.
However,
there
emerging
evidence
that
disclosing
work
adversely
affects
recipients'
perceptions
artifacts.
This
study
explores
whether
these
changing
actually
result
from
two
distinct
effects:
beliefs
about
creativity
quality
artifact
(first-order
effects),
actual
changes
human-GenAI
collaboration
workers
production
process
(second-order
effects).
We
disentangle
effects
through
a
two-stage
mixed-method
study.
The
first
stage
involves
qualitative
field
with
graduate
design
students
creating
images
tools
under
varying
conditions.
second
consists
quantitative
online
experiment
which
evaluate
images.
find
perception
altered
by
because
believe
less
human
effort
was
invested
process,
increasingly
delegate
divergent
thinking
tasks
GenAI,
resulting
noticeable
differences
image
appearance.
Thus,
our
results
indicate
due
are
not
only
product
minds
but
also
stem
artifact.
Our
contributes
discussion
on
human-AI
revealing
how
transparency
requirements
might
unexpectedly
change
workers'
use
GenAI.
Furthermore,
we
identify
efforts
processes
as
key
factor
emergence
algorithm
aversion
domains.
From
practical
perspective,
can
help
navigate
challenges
posed
forthcoming
AI
regulations
policymakers
consider
unwanted
downstream
consequences
their
regulation.
Entrepreneurship Theory and Practice,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 17, 2024
Entrepreneurship
has
entered
a
new
era
shaped
by
artificial
intelligence
(AI),
demanding
accelerated
scholarly
advances
to
keep
pace
with
this
transformative
technology—yet
demands
that
academics
bridge
the
gap
between
AI
revolution’s
ambiguities
and
meaningful
contributions.
To
motivate
guide
future
research
on
AI’s
role
in
entrepreneurship,
we
introduce
an
ongoing
special
issue
Theory
Practice
(
ETP)
outline
multiple
compelling
opportunities
for
research.
Unlike
typical
editorials,
offer
prospective
vision—rather
than
retrospective,
after
articles
have
been
accepted
published—at
project’s
outset,
empower
field
prospect
establish
foundations
relatively
uncharted
world
of
domain
entrepreneurship.
Accordingly,
highlight
“AI
PEN”
(Prospecting
Establishing
Nexus)
as
desirable
approach
advance
literature
going
forward.
We
hope,
anticipate,
our
invitation
submit
proposals
facilitates
novel
empirical
well
theory-focused
contributions
literature.
