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.
Strategic Management Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 14, 2024
Abstract
Research
Summary
Strategic
decisions
are
uncertain
and
often
irreversible.
Hence,
predicting
the
value
of
alternatives
is
important
for
strategic
decision
making.
We
investigate
use
generative
artificial
intelligence
(AI)
in
evaluating
using
business
models
generated
by
AI
(study
1)
or
submitted
to
a
competition
2).
Each
study
uses
sample
60
examines
agreement
model
rankings
made
large
language
(LLMs)
those
human
experts.
consider
multiple
LLMs,
assumed
LLM
roles,
prompts.
find
that
produces
evaluations
inconsistent
biased.
However,
when
aggregating
evaluations,
tend
resemble
This
highlights
making
providing
predictions.
Managerial
Managers
seeking
create
integrating
into
their
organizations.
show
how
managers
can
help
evaluate
decisions.
Generative
AI's
single
if
aggregate
many
across
prompts,
results
resulting
approach
allows
obtain
insight
on
variety
domains
with
relatively
low
investments
time
resources,
which
be
combined
inputs.
Academy of Management Annals,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 8, 2025
Managing
with
artificial
intelligence
(AI)
refers
to
humans'
interaction
algorithms
performing
managerial
tasks
in
organizations.
Two
literatures
exploring
this
interaction—human-AI
collaboration
(HAIC)
and
algorithmic
management
(AM)—have
focused
on
distinct
tasks:
while
HAIC
examines
executive
decision-making,
AM
focuses
control.
This
article
presents
a
review
of
both
identify
opportunities
for
integration
advancement.
We
observe
that
HAIC's
AM's
micro-level
emphases
different
have
resulted
diverging
conceptualizations
context,
agency,
interaction,
outcome.
Adopting
more
encompassing
systems
lens,
we
unveil
previously
concealed
linkages
between
AM,
suggesting
the
two
analyzed
sides
same
phenomenon:
explores
how
humans
use
AI
manage,
describes
are
managed
by
AI.
develop
an
integrative
framework
elevates
viewpoint
from
organizational
individual
collective
local
systemic
multilevel
outcomes.
By
employing
framework,
lay
foundations
perspective
managing
International Journal of Digital Earth,
Journal Year:
2025,
Volume and Issue:
18(1)
Published: Jan. 7, 2025
Virtual
geographic
scenes
can
significantly
facilitate
the
visualization
and
comprehension
of
real
world.
However,
multitude
object
types
complex
relationships
they
contain
make
it
challenging
to
display
embedded
knowledge.
Knowledge
graphs
help
organize
entities
their
within
scenes,
which
makes
easier
store
express
Current
methods
for
constructing
knowledge
virtual
suffer
from
issues
such
as
weak
automation,
low
dimensionality,
poor
cognitive
efficiency.
Thus,
this
paper
presents
a
method
automatically
by
integrating
intelligent
systems.
The
involves
designing
multiagent
system
extract
hidden
in
scenes.
In
addition,
three-dimensional
approach
is
proposed
constrained
spatiotemporal
relationships.
A
scene
containing
2,183
objects
was
selected
experimental
area
displaying
graph.
results
demonstrate
that
constructs
graph
with
12,958
300
s
common
network
hardware
settings.
offers
better
completeness
at
small
scales
compared
other
graphs,
also
enhance
efficiency
understanding
At
the
heart
of
scientific
discovery
are
expert
researchers
who
identify
research
ideas
worthy
inquiry.
While
generative
artificial
intelligence
(AI)
technologies—large
language
models,
in
particular—have
been
found
to
outperform
humans
some
tasks,
their
impact
on
assisting
with
generation
ideas,
one
most
fundamental
tasks
science,
remains
underexplored.
We
investigate
how
use
AI
affects
researcher
perceptions
proposals
and
attitudes
toward
integrating
into
process.
In
a
randomized
online
experiment
310
scientists
across
disciplines,
we
study
affect
researchers'
self-evaluation
proposals,
agenda,
attitudes.
do
not
find
any
average
effect
assessment
proposals'
novelty
or
feasibility.
However,
experience
is
an
important
moderator:
negatively
moderates
perceived
proposal,
own
agendas.
Further
analyses
suggest
that
less
experienced
tended
express
acceptance
AI,
arising
primarily
from
views
new
lines
thinking
were
triggered,
but
also
validation
existing
ideas.
More
aversion,
due
discounting
outside
as
well
asl
hesitation
towards
technology,
challenge
one's
identity.
Our
findings
contribute
innovation
literature
by
offering
initial
insights
AI's
role
idea
process,
growing
complementing
human
tasks.
The International Journal of Human Resource Management,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 39
Published: Dec. 27, 2024
The
integration
of
artificial
intelligence
(AI)
into
human
resource
management
(HRM)
represents
a
rapidly
evolving
area
practice
and
research.
This
review
aims
to
identify
nascent
AI
research
trends
within
HRM
capture
the
value
potential
technology.
We
outline
developmental
trajectory
in
discuss
implications
theories
on
organizations.
Based
co-word
network
analysis,
study
identifies
four
pathways
published
articles
related
HRM:
AI-enhanced
collaboration,
AI-driven
workplace,
AI-enabled
business
models,
AI-powered
innovation.
Finally,
we
highlight
promising
avenues
for
future
across
intersecting
domains
advance
understanding
this
era.
The Journal of Marketing Theory and Practice,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 18
Published: Jan. 7, 2025
Firms
often
outsource
the
task
of
devising
new
product
or
service
ideas
to
consumers
through
online
crowdsourcing
platforms.
We
posit
that
design
environment
may
affect
participants'
capacity
generate
ideas.
This
research
empirically
shows
creativity
platform
enhances
idea
generation
participants
who
create
and
submit
platform.
further
explore
curiosity
as
a
mediator
relationship
between
an
well
factors
(aesthetics
ease
use)
moderators
relation
ship
curiosity.
