Thunderbird International Business Review,
Год журнала:
2024,
Номер
66(2), С. 151 - 170
Опубликована: Фев. 6, 2024
Abstract
The
collaboration
between
artificial
intelligence
(AI)
and
humans
is
reshaping
international
business
(IB)
management
dynamics,
aiming
to
achieve
global
sustainable
development.
Recent
IB
literature
indicates
that
managing
AI
brings
benefits
such
as
better
resource
reconfiguration,
reduced
transaction
costs,
However,
existing
provides
only
meager
knowledge
about
the
characteristics
of
how
these
can
be
employed
for
expansion
at
intersection
In
response,
our
aim
construct
by
employing
directed
qualitative
content
analysis
empirical
research.
Based
on
three
constructed
AI,
we
contribute
current
providing
a
framework
balance
economic
social
goals
utilizing
Further,
provide
future
research
themes
guide
toward
achieving
production
consumption
agenda.
Hybrid Advances,
Год журнала:
2024,
Номер
7, С. 100277 - 100277
Опубликована: Авг. 23, 2024
Artificial
Intelligence
(AI)
technology's
rapid
advancement
has
significantly
changed
various
industries'
operations.
This
comprehensive
review
paper
aims
to
provide
readers
with
a
deep
understanding
of
AI's
applications
&
implementations,
workings,
and
potential
impacts
across
different
sectors.
It
also
discusses
its
future,
threats,
integration
into
new
policy.
Through
extensive
research
on
more
than
200
many
other
sources,
the
authors
have
made
every
effort
present
an
accurate
overview
numerous
AI
nowadays
in
industries
such
as
agriculture,
education,
autonomous
systems,
healthcare,
finance,
entertainment,
transportation,
military,
manufacturing,
more.
The
explores
technologies,
including
machine
learning,
robotics,
big
data,
Internet
Things,
natural
language
processing,
image
object
detection,
virtual
reality,
augmented
speech
recognition,
computer
vision.
provides
real-world
examples
their
implementations.
Moreover,
it
highlights
evaluates
future
potential,
challenges,
limitations
associated
widespread
use
AI.
Our
study
incorporates
latest
offer
nuanced
benefits
challenges.
data-driven
case
immense
technology
addresses
ethical,
societal,
economic
considerations
related
implementation.
Technological Forecasting and Social Change,
Год журнала:
2024,
Номер
200, С. 123189 - 123189
Опубликована: Янв. 11, 2024
This
study
explores
the
interlink
between
AI
capabilities
and
circular
business
models
(CBMs)
through
a
literature
review.
Extant
reveals
that
can
act
as
efficiency
catalyst,
empowering
firms
to
implement
CBM.
However,
journey
harness
for
CBM
is
fraught
with
challenges
grapple
lack
of
sophisticated
processes
routines
tap
into
AI's
potential.
The
fragmented
leaves
void
in
understanding
barriers
development
pathways
contexts.
Bridging
this
gap,
adopting
perspective,
review
intricately
brings
together
four
pivotal
capabilities:
integrated
intelligence
capability,
process
automation
augmentation
infrastructure
platform
ecosystem
orchestration
capability
drivers
AI-enabled
These
are
vital
navigating
multi-level
utilizing
key
contribution
synthesis
an
framework,
which
not
only
summarizes
results
but
also
sets
stage
future
explorations
dynamic
field.
Journal of Innovation & Knowledge,
Год журнала:
2024,
Номер
9(2), С. 100481 - 100481
Опубликована: Март 23, 2024
Knowledge
creation
is
the
foundation
for
indigenous
innovation
in
manufacturing
enterprises;
however,
effects
of
digital
transformation
on
knowledge
are
still
not
well
understood.
Nonaka
put
forward
model
creation,
which
includes
four
processes:
socialization,
externalization,
combination,
and
internalization,
known
as
famous
SECI
model.
Based
model,
this
study
analyzes
processes,
using
panel
data
from
Chinese
listed
enterprises
2007
to
2020.
The
provides
several
novel
findings.
First,
positively
affects
all
with
combination
capability
being
particularly
notable.
Second,
digitalization
inputs
externalization
insignificant
but
exert
a
negative
impact
socialization
internalization.
Third,
heterogeneity
analysis
reveals
that
facilitating
effect
more
significant
state-owned
large
enterprises.
Moreover,
it
primarily
acts
"cherry
top,"
significantly
benefiting
already
have
strong
capabilities.
A
low
level
technology
development
region
where
an
enterprise
located
will
inhibit
role
promoting
socialization.
Furthermore,
culture
regional
environments
play
positive
moderating
roles.
This
contributes
further
understanding
how
enterprises'
activities.
Review of Managerial Science,
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 18, 2024
Abstract
This
study
intends
to
scrutinize
the
role
of
Artificial
Intelligence
(AI)
in
Product-Service
Innovation
(PSI).
The
literature
on
AI
enabled
PSI,
other
related
innovation
business
models,
product-service
systems,
and
servitization
has
grown
significantly
since
2018;
therefore,
there
is
a
need
structure
systematic
manner
add
what
been
studied
thus
far.
Product-service
used
represent
relevance
achieving
models
dealing
with
outcomes
including
artificial
intelligence.
bibliographic
coupling
analyze
159
articles
emerging
from
fields
computer
sciences,
engineering,
social
decision
management.
review
depicts
structures
comprising
five
(5)
clusters,
namely,
(1)
technology
adoption
transformational
barriers,
which
barriers
faced
during
AI-enabled
technologies
following
transformation;
(2)
data-driven
capabilities
innovation,
highlights
data-based
supported
through
innovation;
(3)
digitally
model
explained
how
occurs;
(4)
smart
design
changes
sustainability,
reveals
working
product
service
environments
different
transformations
based
sustainability;
sectorial
application,
industry
examples.
Each
cluster
comprehensively
analyzed
its
contents,
central
themes,
theories,
methodologies,
help
identify
gaps
support
suggestions
for
future
research
directions.
Technological Forecasting and Social Change,
Год журнала:
2024,
Номер
208, С. 123653 - 123653
Опубликована: Авг. 24, 2024
In
today's
data-driven
era,
ubiquitous
concern
about
environmental
issues
pushes
more
startups
to
engage
in
business
model
innovation
that
promotes
environmentally
friendly
technologies.
The
goal
of
these
is
create
technology-based
products
and
services
enhance
sustainability.
this
context,
artificial
intelligence
promises
be
a
key
instrument
create,
capture,
deliver
value.
However,
the
existing
literature
lacks
deep
understanding
how
using
AI
innovate
their
models
achieve
positive
impact.
Therefore,
paper
investigates
green
technology
utilize
from
perspective
for
We
conduct
qualitative,
exploratory
multiple-case
study
Eisenhardt
methodology,
based
on
interview
data
analyzed
qualitative
content
analysis.
derive
five
predominant
manifestations
AI-driven
identify
archetypical
connections
between
dimensions.
Further,
we
establish
three
overarching
associations
among
cases.
doing
so,
contribute
theory
practice
by
providing
deeper
account
attempt
maximize
impact
through
AI.
results
also
highlight
driven
can
support
society
securing
sustainable
future.
Advances in finance, accounting, and economics book series,
Год журнала:
2025,
Номер
unknown, С. 79 - 96
Опубликована: Янв. 31, 2025
This
chapter
investigates
the
extraordinary
job
of
computer-based
intelligence
in
current
business
conditions,
accentuating
its
effect
on
variety
and
advancement.
Simulated
advances
are
progressively
being
used
to
smooth
out
enrolment
processes,
alleviate
predispositions,
encourage
comprehensive
workplaces.
By
dissecting
huge
datasets
distinguishing
designs,
simulated
devices
upgrade
dynamic
employing,
execution
assessments,
group
elements,
prompting
more
impartial
practices.
The
discusses
important
theoretical
frameworks
that
support
integration
AI
promotion
workplace
diversity,
such
as
algorithmic
fairness
theory
diversity
inclusion
theory.
It
additionally
presents
contextual
analyses
fruitful
artificial
intelligence-driven
drives,
featuring
how
associations
like
IBM
Accenture
influence
foster
designated
systems
track
measurements.
Journal of Open Innovation Technology Market and Complexity,
Год журнала:
2024,
Номер
10(2), С. 100261 - 100261
Опубликована: Апрель 4, 2024
This
study
proposes
and
evaluates
a
novel
approach
utilizing
ensemble
machine
learning
techniques
for
personalized
meal
services
to
address
critical
gap
in
understanding
AI-powered
decision-making
within
the
food
delivery
restaurant
industry.
We
draw
inspiration
from
diverse
fields,
including
non-traditional
simulation
methodologies
open
innovation
dynamics,
create
framework
that
leverages
combined
strengths
of
individual
algorithms.
Three
algorithms
–
decision
trees,
logistic
regression,
naïve
Bayes
are
rigorously
evaluated
their
efficacy
classifying
assigning
an
model
new
service.
A
simulated
dataset,
informed
by
expert
tagging,
is
training
ground,
ensuring
practical
relevance.
employ
voting
probability
metric
on
held-out
test
set
provide
robust
measure
accuracy
this
task.
Our
findings
reveal
significant
potential
services.
Ensemble
models
demonstrate
high
accuracy,
showcasing
collaboration
combining
originality
lies
applying
business
case
with
far-reaching
implications
management
societal
well-being.
Beyond
technical
success,
we
explore
technology's
broader
impact.
recommendations
can
enhance
accessibility
individuals
dietary
needs,
promote
healthier
lifestyles
through
nutritious
suggestions,
generate
job
opportunities.
Acknowledging
limitations
future
research
avenues,
invite
further
exploration
applications
across
various
domains.
