Thunderbird International Business Review,
Год журнала:
2024,
Номер
66(2), С. 211 - 219
Опубликована: Фев. 22, 2024
Abstract
Artificial
intelligence
is
a
dynamic
and
emerging
form
of
technological
innovation
that
has
numerous
ramifications
for
international
business
managers.
The
aim
this
article
to
obtain
commentary
from
researchers
about
the
role
artificial
will
play
in
global
arena.
This
includes
asking
questions
how
it
affect
internationalization
processes
whether
lead
more
collaboration.
Well‐known
provide
advice
on
what
managers
should
do
terms
staying
competitive
but
also
they
can
integrate
learning
into
their
operations.
Lastly,
suggestions
future
research
regarding
interplay
between
are
provided.
Corporate Social Responsibility and Environmental Management,
Год журнала:
2024,
Номер
31(5), С. 4849 - 4861
Опубликована: Май 6, 2024
Abstract
This
study,
which
is
anchored
to
Resource‐Based
View
(RBV)
theory,
explores
the
relationship
between
artificial
intelligence
(AI),
process
optimization,
organizational
flexibility,
and
sustainability
performance
in
settings.
Leveraging
RBV
framework's
focus
on
internal
resources
as
sources
of
competitive
advantage,
this
research
seeks
clarify
how
AI
adoption,
flexibility
foster
sustainable
growth.
SPSS
PROCESS
Macro
was
used
analyze
data
from
288
organizations.
The
findings
derived
empirical
data,
study
verify
positive
relationships
optimization
well
performance,
revealing
strategic
nature
a
resource
improve
operational
effectiveness
environmental
responsibility.
Further,
our
results
indicate
mediating
role
moderating
effect
determining
link
outcomes.
Moreover,
confirmed
indirect
effects
via
under
boundary
conditions
flexibility.
These
add
developing
literature
practices
provide
practical
suggestions
that
might
be
useful
for
practitioners
aiming
at
using
driven
by
capabilities
deliver
performance.
Review of Business and Economics Studies,
Год журнала:
2025,
Номер
12(4), С. 6 - 28
Опубликована: Фев. 11, 2025
The
purpose
of
the
study
is
to
explore
Artificial
intelligence
(AI)
integration
into
sustainable
marketing
techniques
highlights
a
transformational
potential,
combining
modern
technology
with
urgent
needs
sustainability.
This
article
thoroughly
examines
how
AI
plays
crucial
role
in
improving
by
enabling
more
efficient
and
socially
responsible
tactics
that
support
sustainability
goals.
Method:
AI-driven
insights
analytics
enhance
decision-making
processes,
improve
customer
engagement,
increase
impact
campaigns
on
environmental
social
outcomes
reviewing
existing
literature
practices.
conversation
delves
difficulties
moral
aspects
involved
using
marketing,
such
as
issues
related
data
privacy,
algorithmic
bias,
importance
strategic
framework
focuses
development
Results:
investigation
shows
promising
yet
intricate
environment,
where
seen
tool
for
balancing
economic
goals
need
responsibility.
research
stresses
continuous
research,
multidisciplinary
teamwork,
policy
creation
maximize
shaping
practices
intelligence.
provides
valuable
contributions
scholarly
discussion
around
artificial
intelligence,
while
also
offering
practical
guidance
professionals
operating
this
dynamic
commercial
sector.
