European Journal of Innovation Management,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 25, 2024
Purpose
Building
upon
the
resource-based
view
(RBV)
and
related
research,
this
paper
empirically
examines
impact
specific
mechanisms
of
artificial
intelligence
transformation
on
corporate
innovation
capabilities.
It
provides
micro-level
evidence
AI’s
influence
behavior.
Design/methodology/approach
Drawing
data
from
Chinese
listed
companies
spanning
period
2011
to
2022,
study
employs
a
dual
fixed-effects
model
mediation
effects
analyze
enterprise
AI
its
capability
as
well
involved.
Findings
The
research
reveals
that
significantly
enhances
enterprises.
Heterogeneity
analysis
indicates
exerts
stronger
promoting
effect
non-technology
firms,
large
enterprises
those
within
manufacturing
sector.
Mechanism
further
by
boosting
profits,
reducing
costs
reinforcing
internal
control
mechanisms.
Further
examination
demonstrates
elevates
quality,
efficiency
eco-friendliness
innovation.
Originality/value
Firstly,
text
methods
machine
learning
construct
indicators
at
firm
level,
providing
Secondly,
it
extends
behavior
include
green
practices,
offering
more
comprehensive
validation
role
in
fostering
Supply Chain Management An International Journal,
Journal Year:
2024,
Volume and Issue:
29(4), P. 794 - 803
Published: June 14, 2024
Purpose
There
is
a
growing
body
of
conceptual
work
considering
the
potential
AI
in
supply
chain
and
procurement,
there
great
interest
among
managers.
But,
according
to
recent
study,
digital
strategies
for
procurement
are
often
missing
or
not
satisfactory.
Literature
offers
conflicting
guidance
on
possible
adoption
areas
core
processes.
Given
need
better
further
develop
understanding
potential,
purpose
this
paper
explore
actual
levels,
experienced
benefits,
readiness
levels
barriers
implementation
industry.
This
informs
nuanced,
hyped,
managerial
consideration
identifies
research
opportunities.
Design/methodology/approach
Leveraging
items
used
literature
study
other
technologies,
authors
conduct
first
empirical
exploration
procurement.
The
do
so
by
collecting
survey
responses
three
manager
workshops,
use
workshops
seek
input
interpretation
findings
identification
implications
managers
researchers.
Findings
appears
be
less
given
than
topic
might
imply.
Adoption
generally
low,
implying
that
lot
room
development
consideration,
cases
pilots
find
benefits
broader
costs
productivity
alone,
including
visibility
innovation.
at
relatively
low
with
factors
commonly
considered
literature,
such
as
executive
support
willingness
invest,
relevant
widely
elements
human
sense
making
supplier
readiness.
Originality/value
moves
past
conceptualization
into
different
expand
additional
called
literature.
also
include
which
from
research.
With
help
participating
managers,
able
more
comprehensive
framework
adoption.
can
bring
nuance,
hype,
provides
rich
portfolio
constructs
explore.
International Journal of Information Management,
Journal Year:
2024,
Volume and Issue:
77, P. 102796 - 102796
Published: April 23, 2024
Business
model
renewal
is
a
key
consideration
for
organizations,
and
AI
(artificial
intelligence)
has
been
identified
as
significant
potential
enabler
that
renewal.
However,
while
there
are
examples
of
emerging
organizations
using
basis
competitive
advantage
well
established
trialing
technologies,
relatively
few
fundamentally
transforming
their
business
models
through
the
use
AI.
Through
case
studies
underpinned
by
interviews
with
named
executives
ten
complemented
an
applicability
check
involving
14
executives,
advisors
practice-oriented
academics,
this
paper
presents
empirically
supported
set
factors
linked
to
successful
AI-enabled
transformation
interactions
between
these
factors.
Using
horizontal
contrasting
approach
articulate
difference
empirical
findings
literature
based
model,
moves
from
language
potentially
passive
top
management
support
towards
concept
proactive
leadership
introduces
tech-sensitive
innovation
culture,
AI-sensitive
risk
tolerance
strategic
process
discipline
into
dynamic
capability
lexicon.
The
insights
can
be
used
managers
assess
readiness
move
beyond
traditional
'proof-points'
successfully
undertake
accelerate
transformation.
Industrial Management & Data Systems,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 12, 2025
Purpose
The
role
of
information
technology
governance
(ITG)
is
crucial
to
enable
organizational
agility
(OA)
leverage
firm
performance
(FP).
ITG
capability
helps
firms
optimize
market
and
operational
activities
improves
corporate
performance.
Therefore,
the
paper
aims
examine
relationship
between
ITG’s
emerge
AO
FP
in
developing
economies.
Design/methodology/approach
This
research
conducted
an
empirical
setting
comprising
a
quantitative
cross-country
survey
based
on
sample
433
enterprises
from
Asia
(AS)
Latin
America
(LA)
regions.
Findings
outcome
demonstrates
significant
impact
OA
achieve
FP.
results
further
indicate
that
plays
vital
through
adjustment
than
capitalizing
AS
LA
organizations.
Practical
implications
study
managers
must
better
understand
how
was
composed
IT
strategy,
architecture,
infrastructure,
business
knowledge
management
influence
gain
independently
region.
Originality/value
findings
offer
valuable
insights
for
academics
practitioners
into
capability,
appropriate
knowledge,
strategy
reach
dynamic
enhance
Journal of Product Innovation Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 17, 2025
Abstract
Many
companies
leverage
the
creativity
of
their
employees
to
gather
ideas
for
innovations.
These
are
collected,
saved,
and
evaluated
via
platforms
known
as
corporate
ideation
systems.
Moderated
systems
(ideation
2.0)
emerged
a
solution
address
limitations
traditional,
rather
passive
1.0).
In
this
study,
we
apply
qualitative
mixed‐method
approach
(literature
review,
company
case
studies,
expert
interviews,
focus
group
workshops)
examine
how
artificial
intelligence
(AI)
technology
may
relieve
remaining
pains
stakeholders
in
collaborative,
moderated
This
leads
new
framework
systems,
termed
AI‐based
3.0).
We
identify
five
major
suffered
by
today's
systems:
pain,
content
formulation
search
analytical
administration
pain.
find
that
AI
agents
act
pain
relievers
when
serving
supporting
functions:
inspirer,
stylist,
matchmaker,
analyst,
organizer.
The
interconnected
nature
means
employing
certain
functions
within
can
create
positive
externalities
across
entire
system.
Practical
insights
into
agent
implementation
application
provided
six
mini‐case
which
lead
proposition
two
organizational
principles:
contextualization
usage
generalization
requirements
successful
3.0.
Strategic Change,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 19, 2025
ABSTRACT
A
unique
feature
of
digital
technologies
is
their
broad
impact
at
both
business
and
market
dynamics
levels.
While
the
first
often
studied
by
scholars
under
lens
transformation
(DT),
second
separately
addressed
analysis
strategic
renewal
to
adapt
new
environment.
Here,
we
assess
interaction
between
organizational
changes
level
boldness
associated
with
DT,
through
a
series
cross‐sectional
samples
firms
engaging
in
DT
worldwide.
We
find
that
capabilities
mediate
renewal,
which
turn
strongly
determines
return
on
investing
for
incumbent
firms.
