Here, There and Everywhere: On the Responsible Use of Artificial Intelligence (AI) in Management Research and the Peer‐Review Process
Journal of Management Studies,
Год журнала:
2024,
Номер
61(3), С. 739 - 751
Опубликована: Янв. 30, 2024
Abstract
This
editorial
introduces
and
explains
the
Journal
of
Management
Studies’
(JMS)
new
policy
on
artificial
intelligence
(AI)
.
We
reflect
use
AI
in
conducting
research
generating
journal
submissions
what
this
means
for
wider
JMS
community,
including
our
authors,
reviewers,
editors,
readers.
Specifically,
we
consider
how
AI‐generated
text
could
both
assist
augment
publication
process,
as
well
harm
it.
Consequentially,
acknowledges
need
careful
oversight
regarding
to
authoring
texts
data
analyses,
while
also
noting
importance
requiring
authors
be
transparent
about
how,
when
where
they
have
utilized
their
or
underlying
research.
Additionally,
examine
ways
AI's
may
antithetical
spirit
a
quality
like
that
values
human
voice
transparency.
Our
why
require
author
teams
oversee
all
aspects
within
projects,
take
personal
responsibility
accuracy
explain
prohibition
peer‐reviewers’
evaluations
submissions,
editors’
handling
manuscripts.
Язык: Английский
ChatGPT Undermines Human Reflexivity, Scientific Responsibility and Responsible Management Research
British Journal of Management,
Год журнала:
2023,
Номер
35(2), С. 566 - 575
Опубликована: Ноя. 20, 2023
Abstract
With
ChatGPT
being
promoted
to
and
by
academics
for
writing
scholarly
articles
more
effectively,
we
ask
what
kind
of
knowledge
does
produce,
this
means
our
reflexivity
as
responsible
management
educators/researchers,
how
an
absence
disqualifies
us
from
shaping
in
ways.
We
urgently
need
grasp
makes
human
distinct
compared
with
generated
et
al.
Thus,
first
explain
operates
unpack
its
intrinsic
epistemological
limitations.
Using
high‐probability
choices
that
are
derivative,
has
no
stake
the
it
produces
is
thus
likely
prone
offering
irresponsible
outputs.
By
contrast,
genuine
thinking—embodied
a
contingent
socio‐cultural
setting—uses
low‐probability
both
‘inside’
‘outside’
box
training
data,
making
creative,
contextual
committed.
conclude
use
wholly
incompatible
scientific
responsibility
management.
Язык: Английский
Future Making: Towards a Practice Perspective
Journal of Management Studies,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 20, 2025
Abstract
Management
scholars
are
increasingly
interested
in
‘future
making’,
observing
and
theorizing
how
organizational
actors
produce
enact
the
yet‐to‐come.
However,
rapid
growth
of
conversation
runs
risk
emptying
notion
future
making,
calling
into
question
its
meaning
relevance.
In
response
to
these
concerns,
our
Point
is
that
there
value
understanding
making
from
a
practice
perspective.
A
perspective,
we
argue,
empirically
sufficiently
open
account
for
plurality
open‐endedness
futures
amidst
continual
emergence
interrelated
crises,
large‐scale
challenges,
intractable
technologies.
Thus,
it
reinforces
relevance
research
on
as
central
part
contemporary
life.
At
same
time,
four
practice‐based
dimensions
elaborated
this
provide
sufficient
conceptual
specificity
discern
what
counts
does
not,
thereby
providing
solid
ground
cumulative
theory‐building
area.
Our
extends
management
studies
by
substantiating
examining
articulating
clarifying
perspective
directs
scholarly
attention
important
areas
research.
Язык: Английский
Behavioral economics, artificial intelligence and entrepreneurship: an updated framework for management
International Entrepreneurship and Management Journal,
Год журнала:
2025,
Номер
21(1)
Опубликована: Март 28, 2025
Язык: Английский
Generative Artificial Intelligence as Hypercommons: Ethics of Authorship and Ownership
Journal of Business Ethics,
Год журнала:
2024,
Номер
192(4), С. 659 - 663
Опубликована: Июль 1, 2024
Abstract
In
this
editorial
essay,
we
argue
that
Generative
Artificial
Intelligence
programs
(GenAI)
draw
on
what
term
a
“hypercommons”,
involving
collectively
produced
inputs
and
labour
are
largely
invisible
or
untraceable.
We
automatizing
the
exploitation
of
common
inputs,
in
ways
remix
reconfigure
them,
can
lead
to
crisis
academic
authorship
which
moral
agency
involved
scholarly
production
is
increasingly
eroded.
discuss
relationship
between
hypercommons
terms
ethics
production,
speculating
different
responses
as
posed
by
GenAI.
Язык: Английский
Human-AI agency in the age of generative AI
Information and Organization,
Год журнала:
2025,
Номер
35(1), С. 100560 - 100560
Опубликована: Март 1, 2025
Язык: Английский
Algorithm for Managerial Decision-Making Using Big Data and AI
Studies in big data,
Год журнала:
2025,
Номер
unknown, С. 13 - 21
Опубликована: Янв. 1, 2025
Язык: Английский
Capturing a moving target: Developing research on and with AI for Human Relations
Human Relations,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 11, 2025
Artificial
intelligence
(AI)
has
become
part
and
parcel
of
scientific
knowledge
production
since
the
latest
iterations
generative
AI
models
(e.g.,
ChatGPT,
DeepSeek,
Claude,
or
Gemini)
became
widely
available.
Given
rapidly
evolved
initial
release
ChatGPT
in
2022,
researching
how
AI’s
capabilities
impact
organizations
researchers
make
use
tools
can
be
likened
to
a
moving
target.
In
this
editorial
essay,
we
explore
implications
introduction
context
academic
research,
both
as
subject
investigation
(i.e.,
research
on
AI)
tool
facilitate
writing,
data
generation,
peer
review
process
with
AI).
Specifically,
concerning
AI,
consider
issues
around
clarity
regarding
existing
definitions
concepts
literature
these
are
influenced
by
rapid
technological
evolution
capabilities.
regard
reflect
advantages
disadvantages
discuss
Human
Relations
Usage
Policy
.
Overall,
our
aim
is
not
overly
prescriptive
conduct
but
encourage
authors
best
capture
target
their
endeavors.
Язык: Английский
Artificial intelligence: an opportunity or a threat to good decision-making? Using systems thinking to examine values in an intercultural framework
Journal of Decision System,
Год журнала:
2024,
Номер
unknown, С. 1 - 21
Опубликована: Ноя. 14, 2024
Artificial
Intelligence
(AI)
is
being
used
globally.
But
its
spread
limited
by
challenges
associated
with
trust.
Intercultural
trust,
as
required
for
AI
a
global
remit,
requires
common
framework.
Systems
thinking
provides
such
value-reflective
framework,
and
was
to
examine
values
in
design,
implementation,
use.
A
method
of
integrative
systems
proposed,
which
synthesises
Western
approach
Chinese
approach,
incorporating
value
assessments
the
both
cultures.
Open-ended
questions
were
developed,
put,
comparison,
international
expert
respondents,
ChatGPT
system,
embedded
Microsoft's
New
Bing.
Half
assumed
that
good,
other
half
took
contrary
point
view.
The
results
from
experts
line
one
another,
suggesting
priority
issue
users
should
be
clear
about
AI,
helping
decision-making..
Язык: Английский