Information Resources Management Journal,
Год журнала:
2024,
Номер
37(1), С. 1 - 25
Опубликована: Ноя. 1, 2024
Data
sharing
between
financial
service
providers
(FSPs)
can
promote
the
reduction
of
risks,
but
reality
is
that
FSPs
may
be
unwilling
to
share
data
with
each
other
due
security
problems.
The
emergence
federated
technology
provides
a
convenient
way
address
this
issue.
In
article,
author
proposes
using
model
for
and
two
dynamic
evolutionary
games
evaluating
influencing
factors.
Cooperation
results
when
both
reach
certain
level
mutual
payoff.
reward
punishment
mechanisms
are
important
means
by
which
actively
implement
real
sharing.
interaction
FSP
provider
(FTSP)
demonstrates
practicality
new
technology.
show
improved
trust
supported
regulatory
mechanisms.
International Journal of Knowledge Management,
Год журнала:
2025,
Номер
21(1), С. 1 - 24
Опубликована: Фев. 26, 2025
Core
enterprises
can
provide
effective
assistance
for
financing
small
and
medium-sized
(SMEs).
Promoting
data
sharing
between
both
parties
is
of
great
significance.
However,
a
real
issue
that
core
may
not
be
willing
to
share
information
SMEs
or
financial
institutions
due
concerns
about
privacy
leakage.
Vertical
federated
technology
(VFT)
considers
the
protection
issues
distributed
has
become
an
advanced
solving
cooperation.
But
its
execution
also
influenced
by
various
factors.
This
article
conducts
dynamic
evolutionary
game
analysis
cooperation
based
on
new
technology.
A
three-party
model
was
constructed.
It
highlights
influencing
factors
application
VFT
in
SMEs.
The
findings
indicate
considered
strategy
problem
under
specific
conditions.
The
Internet
of
Vehicles,
as
a
new
generation
information
infrastructure
that
integrates
multiple
industries
such
automotive,
communication,
and
transportation,
is
currently
in
rapid
development
stage.
However,
its
data
supply
chain
involves
numerous
stakeholders
faces
severe
challenges
terms
sharing,
security,
regulation.
To
address
this
issue,
paper
utilizes
evolutionary
game
theory,
setting
key
variables
the
strategy
set,
probability
combination,
behavior
each
stakeholder
to
construct
tripartite
model
replicator
dynamic
equations,
involving
Vehicles
sharing
platform,
vehicle
manufacturers,
sellers.
We
studied
equilibrium
solutions
conducted
an
in-depth
analysis
local
stability
state.
Through
simulation
analysis,
we
explored
interference
factors
their
mechanisms
action
interaction
changes
during
process
analyzed
impact
different
parameters
on
system’s
evolution.
experimental
results
show
compensation
risk
leakage
have
significant
decision-making
behavior;
enhancing
security
technology
data-sharing
platform
construction
governance
system,
well
implementing
corresponding
incentive
punitive
measures,
can
promote
system
reach
stable
study
provide
scientific
reasonable
basis
for
core
enterprises
chain,
helping
them
more
effectively
supervise
coordinate
downstream
enterprises,
thereby
collaborative
effect
entire
improving
overall
competitiveness
chain.
International Journal of Strategic Decision Sciences,
Год журнала:
2025,
Номер
15(1), С. 1 - 29
Опубликована: Апрель 19, 2025
The
authors
examine
how
network
externalities
and
various
factors
shape
strategic
interactions
between
manufacturers
technology
suppliers
in
networked
manufacturing
contexts.
Using
an
evolutionary
game
model,
it
explores
manufacturers'
radical
vs.
incremental
innovation
choices
alongside
suppliers'
authorization
licensing
strategies.
results
show
that
both
parties'
strategies
often
fluctuate
without
stabilizing
under
different
initial
conditions.
While
higher
returns
from
motivate
toward
breakthrough
efforts,
consistently
favor
regardless
of
profit-sharing
adjustments
are
highly
sensitive
to
costs.
In
contrast,
changes
fees
predominantly
influence
behaviors.
Collaboration
costs
only
lead
minor
shifts
trajectories.
Future Business Journal,
Год журнала:
2025,
Номер
11(1)
Опубликована: Май 17, 2025
Abstract
Data
sharing
has
become
a
transformative
force
in
the
global
financial
ecosystem,
driving
evolution
from
open
banking
to
finance.
In
this
study,
we
develop
diffusion
model
using
evolutionary
game
theory
on
complex
networks
explore
how
data
influences
lenders’
micro-level
decision-making
and
promotes
macro-level
of
Combined
with
empirical
observations
China’s
initiatives,
our
findings
reveal
that
rate
finance
remains
suboptimal,
lenders
adopting
not
yet
realizing
significant
profit
advantages
over
traditional
practices.
Furthermore,
sensitivity
tests
performed
through
univariate
analysis
show
increasing
either
proportion
active
borrowers
or
their
degree
plays
critical
role
accelerating
diffusion,
following
distinct
nonlinear
exponential
linear
growth
trends,
respectively.
Notably,
dominating
market
benefit
inclusivity
finance,
where
profits
are
enhanced
higher
sharing.
Thus,
mutually
beneficial
outcome
arises
when
both
maximized.
We
further
perform
several
analyses
highlight
robustness
main
results,
including
analyzing
effects
lender
strategy
updates
government
subsidies
extending
hybrid
combines
small-world
scale-free
networks.
This
article
suggests
policymakers
should
mandate
secure
ecosystems
privacy-centric
regulation
while
implementing
incentives
like
early
adopter
accelerate
diffusion.
Financial
institutions
must
concurrently
robust
guardianship
systems
advanced
encryption
federated
learning
technologies,
transforming
shared
into
personalized
credit
innovations.
These
offer
implications,
demonstrating
strategic
frameworks
can
drive
innovation,
inclusion,
consumer
protection
across
diverse
regulatory
regimes.
Sustainability,
Год журнала:
2024,
Номер
16(7), С. 2760 - 2760
Опубликована: Март 27, 2024
This
paper
proposes
a
two-party
evolutionary
game
model
of
government
and
enterprise
to
solve
the
dilemma
industrial
pollution
control
explore
mode
collaborative
governance.
The
local
equilibrium
points
in
four
cases
are
calculated
analyzed,
results
show
that
power
alone
cannot
help
enterprises
achieve
an
ideal
level
reduction,
it
is
necessary
introduce
public
for
supervision.
Based
on
above,
tripartite
comprising
government,
public,
proposed.
When
costs
benefits
players
meet
certain
conditions,
system
will
evolve
state
(0,1,1).
Following
current
situation
economic
development
China,
parameters
assigned,
operating
path
system’s
evolution
trajectory
simulated
by
Matlab
R2016a
software.
It
indicated
whether
participates
supervision
or
not,
actively
under
strong
supervision,
which
can
provide
feasible
suggestions
selection
policies.
