The Role of Artificial Intelligence in Transforming Business Models
Advances in business strategy and competitive advantage book series,
Год журнала:
2025,
Номер
unknown, С. 71 - 98
Опубликована: Янв. 3, 2025
Artificial
Intelligence
(AI)
is
transforming
the
way
businesses
work,
driving
a
fundamental
instability
in
traditional
business
paradigms.
This
chapter
addresses
role
of
AI
model
innovation,
investigating
how
companies
employ
technologies
to
enhance
decision-making,
optimize
processes,
and
generate
new
value
propositions.
By
integrating
into
may
change
from
static,
linear
models
dynamic,
data-driven
strategies,
allowing
for
better
scalability
agility.
Through
series
case
studies
examples,
illustrates
significant
sectors
industries
where
AI-driven
have
arisen.
It
also
covers
barriers
adoption,
including
technological,
ethical,
organizational
hurdles,
offers
insights
future
trends
developing
landscape
AI-powered
transformations.
Язык: Английский
AI-Driven Innovations
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 87 - 118
Опубликована: Март 28, 2025
This
chapter
explores
the
integration
of
Artificial
Intelligence
(AI)
in
life
sciences,
highlighting
its
impact
on
research,
medical
care,
and
understanding
complex
biological
systems.
AI's
capacity
to
process
vast
datasets
identify
hidden
patterns
is
revolutionising
fields
such
as
drug
discovery,
genomics,
clinical
diagnostics,
healthcare
administration.
It
examines
historical
development
AI
from
rule-based
systems
like
MYCIN
modern
data-driven
approaches
enhanced
by
deep
learning,
machine
natural
language
processing.
Notable
applications
include
improved
patient
outcomes,
accelerated
diagnostic
accuracy,
personalised
medicine.
The
also
discusses
transformative
potential
across
various
science
sectors,
especially
where
it
optimises
candidate
selection,
reduces
costs,
repurposes
existing
drugs.
Overall,
signifies
a
paradigm
shift
promising
greater
efficiency,
innovation,
responsiveness
global
health
challenges.
Язык: Английский
AI-Driven Decision Making in Innovation
Human computer interaction.,
Год журнала:
2025,
Номер
9(1), С. 17 - 17
Опубликована: Май 29, 2025
Artificial
intelligence
(AI)
is
reshaping
the
landscape
of
innovation
by
transforming
how
organizations
generate
ideas,
make
decisions,
and
develop
products
services.
This
research
paper
comprehensively
explores
role
AI
in
driving
through
advanced
technologies
such
as
machine
learning,
natural
language
processing,
generative
models,
big
data
analytics.
It
examines
AI’s
integration
into
entrepreneurial
ventures
corporate
R&D
settings
highlights
key
enablers
barriers.
also
addresses
ethical
considerations
including
bias,
explainability,
human–AI
collaboration.
Drawing
on
recent
case
studies
literature
from
2024–2025,
study
offers
a
multidimensional
framework
for
understanding
AI-driven
decision-making
innovation.
concludes
with
strategic
recommendations
leaders,
policymakers,
educators,
emphasizing
need
responsible,
inclusive,
human-centered
ecosystems
era.
Язык: Английский
Annabeth Aagaard (ed.) (2024), Business Model Innovation: Game Changers and Contemporary Issues , London, Palgrave Macmillan, 337 p.
Journal of Innovation Economics & Management,
Год журнала:
2025,
Номер
No 46(1), С. 267 - 272
Опубликована: Янв. 17, 2025
Язык: Английский
The evolution of digitainability in the fashion industry: a bibliometric analysis
Kybernetes,
Год журнала:
2024,
Номер
53(13), С. 101 - 126
Опубликована: Дек. 4, 2024
Purpose
This
study
investigates
the
evolution
of
digital
transformation
research
trends
in
context
fashion
industry.
The
paper
analyzes
and
addresses
impact
innovations
on
three
areas
industry:
products,
processes
business
models.
Design/methodology/approach
examined
277
peer-reviewed
articles
using
various
bibliometric
tools
indicators,
aiming
to
identify
organize
contributions
most
influential
works.
Additionally,
a
critical
review
ten
cited
papers
field
was
carried
out.
Findings
shows
that
digitalization
is
not
merely
technological
trend;
rather,
it
transformative
force
reshaping
It
fosters
collaboration,
innovation
sustainability,
creating
an
ecosystem
where
businesses
can
thrive
by
aligning
with
circular
principles
leveraging
tools.
Research
limitations/implications
reveals
gap
scientific
systematization
exploration
variety
applications
study’s
limitations
include
keywords
chosen
for
period
from
1998
2023.
Originality/value
pursues
contribute
current
discussion
sustainable
practices
within
industry,
while
also
setting
foundation
future
progress
supports
increasing
need
personalized
products.
Язык: Английский