Technology Analysis and Strategic Management,
Год журнала:
2024,
Номер
unknown, С. 1 - 16
Опубликована: Дек. 18, 2024
Manufacturing
enterprises
are
actively
using
big
data
analytics
to
pursue
service
innovation
opportunities
for
sustainable
development.
However,
the
mechanisms
underlying
this
influence
require
further
discussion.
Based
on
dynamic
capability
theory,
study
aims
investigate
how
affects
performance
of
manufacturing
by
exploring
mediating
effect
resource
bricolage
and
moderating
roles
various
learning
orientation
factors
(learning
commitment,
open-mindedness
shared
vision).
The
hypotheses
were
tested
questionnaire
from
245
in
China.
results
show
that
enables
manufacturers
improve
their
both
directly
via
bricolage.
In
addition,
boosts
performance,
while
commitment
vision
do
not.
Our
enriches
servitization
literature,
offers
practical
guidance
Chinese
want
engage
digital
era.
Review of Managerial Science,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 21, 2024
Abstract
This
research
explores
the
potential
of
supervised
machine
learning
techniques
in
transforming
raw
data
into
strategic
knowledge
context
human
resource
management.
By
analyzing
a
database
with
over
205
variables
and
2,932
observations
related
to
telco
multinational
corporation,
this
study
tests
predictive
analytical
power
classification
decision
trees
detecting
determinants
voluntary
employee
turnover.
The
results
show
groups
employees
who
may
voluntarily
leave
company,
highlighting
level
depth
tree.
contributes
field
management
by
value
tree
identifying
characteristics
high
propensity
firm.
As
practical
implication,
our
provides
an
approach
that
any
organization
can
use
self-assess
its
own
turnover
risk
develop
tailored
retention
practices.
Sustainability,
Год журнала:
2024,
Номер
16(21), С. 9246 - 9246
Опубликована: Окт. 24, 2024
Enterprise
green
innovation
(EGI)
has
become
an
essential
measure
for
manufacturing
enterprises
to
achieve
sustainable
development,
and
the
application
of
artificial
intelligence
(AI)
may
a
new
driving
solution.
This
study
empirically
analyzes
impact
internal
transmission
mechanism
AI
on
EGI
Chinese
listed
from
2010
2022.
Research
found
that
(1)
significantly
impacts
EGI,
this
basic
conclusion
passed
various
endogeneity
robustness
tests.
(2)
The
test
results
indicate
enterprise
technological
capability,
investment,
executives’
environmental
awareness
mediate
between
EGI.
(3)
Heterogeneity
analysis
shows
significant
positive
is
only
established
in
with
overseas
backgrounds,
large-scale,
highly
competitive
regional
markets,
low-carbon
pilot
cities.
above
conclusions
have
contributed
essentially
literature
AI.
Decision
sciences
(DSC)
involve
studying
complex
dynamic
systems
and
processes
to
aid
informed
choices
subject
constraints
in
uncertain
conditions.
It
integrates
multidisciplinary
methods,
techniques,
strategies
evaluate
decision
engineering
processes,
identifying
alternatives
providing
insights
towards
enhancing
prudent
decision-making.
This
study
analyzes
the
evolutionary
trends
innovation
DSC
education
research
uncover
transformations
over
years.
We
employ
science
mapping
method,
text
analytics,
metadata
from
bibliographic
databases
thematic
social
structures.
The
results
highlight
data
including
mining
business/learning
analytics
as
essential
components.
mirror
development
practice,
technological
transformation,
computer
advances,
processes.
Sustainable
through
virtual/online
learning
also
constitutes
a
significant
component
of
scientific
production.
innovative
pedagogical
approaches
strategies,
simulation
games
('play
learn').
current
era
witnessed
generative
artificial
intelligence
(GenAI)
adoption
(e.g.,
ChatGPT)
teaching,
learning,
scholarly
activities
amidst
challenges
(academic
integrity,
plagiarism,
intellectual
property
violations,
other
ethical
legal
issues).
Future
will
implement
integrate
AI
automatic
detection
address
some
GenAI
challenges.
Economics of Development,
Год журнала:
2024,
Номер
23(3), С. 18 - 31
Опубликована: Авг. 14, 2024
The
online
education
market
has
experienced
tremendous
growth,
creating
a
competitive
landscape
where
effective
marketing
solutions
are
crucial
for
success.
Artificial
intelligence
(AI)
emerged
as
powerful
tool,
offering
innovative
ways
to
enhance
product
strategy.
purpose
of
the
article
was
highlight
integration
artificial
into
strategies
in
and
evaluate
chances
success
launching
new
training
course
implemented
through
AI
algorithms.
A
systematic
review
advanced
technologies
products
carried
out,
along
with
comparative
analysis
based
on
data
from
various
authors
reports
organisations,
considering
aspects
interpreting
qualitative
quantitative
characteristics.
Leaders
global
Ukrainian
were
analysed,
research
conducted
strategy
measures
successful
players,
indicating
using
SimilarWeb
Semrush
services.
These
results
allowed
an
connection
between
identified
segments
influencing
factors
make
practical
recommendations
improving
elements
issues
market.
To
demonstrate
relevance
effectiveness
proposals,
approach
applied
test
if
enhanced
would
fit
example
Projector
Institute
company.
assessment
obtained
calculations
showed
that
can
strengthen
products,
they
will
fully
meet
interests
interested
economic
counterparts.
study
could
be
used
by
marketing,
experts,
business
owners
etc.
Marketing Intelligence & Planning,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 14, 2024
Purpose
Facing
the
increasing
competition
and
uncertainty,
when
how
to
improve
service
innovation
performance
with
help
of
digital
business
strategy
has
become
an
important
issue
for
global
firms.
In
this
study,
organizational
memory
level
dispersion
are
regarded
as
moderating
variables
market
intelligence
response
is
introduced
a
mediator,
aiming
at
clarifying
boundary
conditions
mechanism
affecting
performance.
Design/methodology/approach
A
survey
was
conducted
among
middle
senior
managers
from
245
firms
in
China.
The
data
were
analyzed
using
SPSS
Mplus
software
reliability
validity
analysis,
hypothesis
testing
robustness
testing.
Findings
Digital
positively
related
Market
responsiveness
mediated
positive
effect
on
between
strengthened
moderate.
Practical
implications
This
study
suggests
that
it
very
effective
approach
initiate
Furthermore,
crucial
because
can
quickly
respond
changes
adapt
them
accordingly.
Managers
should
recognize
benefits
maximized
only
Originality/value
first
address
question
drives
context
digitization.
addition,
enriches
advances
learning
theory
discusses
differential
impact
under
varying
degrees
dispersion.
Technology Analysis and Strategic Management,
Год журнала:
2024,
Номер
unknown, С. 1 - 16
Опубликована: Дек. 18, 2024
Manufacturing
enterprises
are
actively
using
big
data
analytics
to
pursue
service
innovation
opportunities
for
sustainable
development.
However,
the
mechanisms
underlying
this
influence
require
further
discussion.
Based
on
dynamic
capability
theory,
study
aims
investigate
how
affects
performance
of
manufacturing
by
exploring
mediating
effect
resource
bricolage
and
moderating
roles
various
learning
orientation
factors
(learning
commitment,
open-mindedness
shared
vision).
The
hypotheses
were
tested
questionnaire
from
245
in
China.
results
show
that
enables
manufacturers
improve
their
both
directly
via
bricolage.
In
addition,
boosts
performance,
while
commitment
vision
do
not.
Our
enriches
servitization
literature,
offers
practical
guidance
Chinese
want
engage
digital
era.
