International Journal of Management & Entrepreneurship Research,
Год журнала:
2024,
Номер
6(3), С. 863 - 877
Опубликована: Март 23, 2024
This
review
delves
into
the
profound
impact
of
artificial
intelligence
(AI)
integration
on
contemporary
business
paradigms.
The
paper
meticulously
explores
diverse
AI
applications,
including
machine
learning,
natural
language
processing,
and
predictive
analytics,
illustrating
how
these
technologies
can
revolutionize
operational
processes,
augment
decision-making
capabilities,
foster
unparalleled
innovation
within
organizations.
Drawing
from
case
studies
industry
examples
across
various
sectors
such
as
finance,
healthcare,
retail,
manufacturing,
study
elucidates
successful
implementation
strategies.
It
examines
importance
robust
data
governance
frameworks
to
ensure
quality
integrity,
acquisition
talent,
imperative
fostering
a
culture
adaptability
organizations
undergoing
transformation.
Furthermore,
addresses
nuanced
challenges
risks
inherent
in
adoption,
spanning
ethical
considerations
surrounding
privacy
bias
mitigation,
cybersecurity
vulnerabilities,
potential
workforce.
By
providing
comprehensive
overview
opportunities
associated
with
models,
equips
organizational
leaders,
policymakers,
stakeholders
invaluable
insights
navigate
evolving
landscape
AI-driven
innovation.
underscores
significance
strategic
foresight,
cross-functional
collaboration,
continuous
learning
harnessing
full
drive
sustainable
growth
competitive
advantage
digital
era.
Keywords:
AI,
Business,
Models,
Strategies,
Efficiency,
Innovation.
International Medical Science Research Journal,
Год журнала:
2024,
Номер
4(1), С. 1 - 18
Опубликована: Янв. 5, 2024
This
comprehensive
review
explores
innovative
supply
chain
models
within
the
U.S.
pharmaceutical
industry
and
examines
their
implications
adaptability
for
healthcare
systems
in
Africa.
The
sector
is
characterized
by
intricate
logistics,
stringent
regulatory
frameworks,
a
dynamic
market
landscape.
Through
detailed
examination
of
pioneering
models,
this
aims
to
identify
best
practices,
challenges,
opportunities
that
may
inform
strategies
enhancing
chains
African
systems.
Key
considerations
include
integration
advanced
technologies,
compliance,
collaborative
partnerships
chain.
these
are
assessed
context
unique
challenges
faced
continent,
such
as
limited
infrastructure,
diverse
environments,
varying
socio-economic
conditions.
underscores
potential
knowledge
transfer
adaptation
successful
bolster
efficiency,
accessibility,
affordability
pharmaceuticals
Moreover,
it
emphasizes
importance
tailoring
specific
needs
each
region,
considering
factors
local
By
synthesizing
insights
from
evaluating
applicability
systems,
contributes
ongoing
discourse
on
strengthening
global
health
chains.
It
provides
foundation
policymakers,
professionals,
stakeholders
develop
contextually
relevant
enhance
affordability,
overall
outcomes
across
continent.
Keywords:
Supply
Chain,
Pharmaceutical,
Healthcare,
USA,
Innovation.
International Journal of Management & Entrepreneurship Research,
Год журнала:
2024,
Номер
6(3), С. 863 - 877
Опубликована: Март 23, 2024
This
review
delves
into
the
profound
impact
of
artificial
intelligence
(AI)
integration
on
contemporary
business
paradigms.
The
paper
meticulously
explores
diverse
AI
applications,
including
machine
learning,
natural
language
processing,
and
predictive
analytics,
illustrating
how
these
technologies
can
revolutionize
operational
processes,
augment
decision-making
capabilities,
foster
unparalleled
innovation
within
organizations.
Drawing
from
case
studies
industry
examples
across
various
sectors
such
as
finance,
healthcare,
retail,
manufacturing,
study
elucidates
successful
implementation
strategies.
It
examines
importance
robust
data
governance
frameworks
to
ensure
quality
integrity,
acquisition
talent,
imperative
fostering
a
culture
adaptability
organizations
undergoing
transformation.
Furthermore,
addresses
nuanced
challenges
risks
inherent
in
adoption,
spanning
ethical
considerations
surrounding
privacy
bias
mitigation,
cybersecurity
vulnerabilities,
potential
workforce.
By
providing
comprehensive
overview
opportunities
associated
with
models,
equips
organizational
leaders,
policymakers,
stakeholders
invaluable
insights
navigate
evolving
landscape
AI-driven
innovation.
underscores
significance
strategic
foresight,
cross-functional
collaboration,
continuous
learning
harnessing
full
drive
sustainable
growth
competitive
advantage
digital
era.
Keywords:
AI,
Business,
Models,
Strategies,
Efficiency,
Innovation.
