Cross-Organizational knowledge sharing partner selection based on Fogg Behavioral Model in probabilistic hesitant fuzzy environment
Jiafu Su,
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Baojian Xu,
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Lianxin Jiang
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et al.
Expert Systems with Applications,
Journal Year:
2024,
Volume and Issue:
260, P. 125348 - 125348
Published: Sept. 12, 2024
Language: Английский
A Probabilistic Hesitant Fuzzy Multi-Criteria Decision-Making Method Based on CSOGRMILP and Borda-CoCoSo
International Journal of Fuzzy Systems,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 7, 2025
Language: Английский
A systems perspective on the approach to industrial chain and supply chain ecology
Systems Research and Behavioral Science,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 4, 2024
Abstract
To
date,
minimal
literature
is
based
on
a
systems
perspective
to
examine
the
ecosystems
of
industrial
chain
and
supply
chain.
fill
gap,
this
study
has
employed
in
analysing
issues
related
chain–supply
ecology.
The
term
‘industrial
chain’
emerged
recently
reflect
current
global
manufacturing
industry
structure
prevalent
This
clarifies
concepts
ecosystem
ecosystem,
highlighting
their
similarities
distinctions.
Additionally,
outlines
process
value
creation
within
involving
innovation
research,
technology,
products,
management,
leading
technological
breakthroughs
enhancements.
A
three‐stage
model
for
proposed,
comprising
blueprint
stage,
core
technology
breakthrough
stage
iterative
upgrade
stage.
Language: Английский
Nonaka and Takeuchi knowledge management model based on institutional and infrastructure factors
Mohamad Reza Zahedi
No information about this author
VINE Journal of Information and Knowledge Management Systems,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 17, 2024
Purpose
The
purpose
of
this
study
is
to
investigate
and
analyze
the
knowledge
management
(KM)
model
Nonaka
Takeuchi,
focusing
on
institutional
infrastructure
factors
in
a
specific
field
design
offices
product-oriented
organization.
In
other
words,
research
does
not
intend
recreate
but
seeks
expand
modify
according
context
that
may
specifically
affect
effectiveness
model.
Design/methodology/approach
This
used
two
distinct
questionnaires,
administered
same
set
respondents,
comprehensively
address
different
dimensions
KM.
first
questionnaire,
focused
KM
components,
assessed
aspects
such
as
creation,
sharing
utilization.
second
questionnaire
evaluated
infrastructural
critical
KM,
covering
like
organizational
culture,
values,
leadership,
context,
hardware,
software
network
systems.
dual-questionnaire
approach
justified,
it
allows
for
detailed
differentiated
analysis:
one
tool
captures
operational
while
explores
supporting
infrastructure.
methodology
ensures
accurately
measures
both
practices
adequacy
environment,
thus
providing
robust
assessment
system.
Findings
identifies
seven
key
influencing
processes:
These
shape
how
created,
shared
used,
support
proposed
modifications
Takeuchi
Using
TOPSIS
method,
found
culture
values
rank
above
average,
policies
are
moderate,
information
technology
below
average
organization
Tehran.
Further
sectors
could
help
validate
these
findings.
Originality/value
introduces
novel
enhancement
by
incorporating
comprehensive
analysis
factors.
Unlike
existing
models,
which
primarily
focus
generalized
principles,
uniquely
integrates
leadership
technological
originality
work
lies
its
tailored
organizations,
offering
more
precise
actionable
framework
improving
practices.
advancement
only
deepens
theoretical
insights
also
provides
practical
value
addressing
needs
dynamics
target
organizations.
Language: Английский
Investigating the moderating role of technology turbulence and innovation capabilities in servant leadership, knowledge management and frugal innovation
Journal of Science and Technology Policy Management,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 27, 2024
Purpose
This
research
aims
to
investigate
the
impact
of
servant
leadership
on
knowledge
management
and
its
subsequent
connection
cost-saving
innovation.
The
study
further
explored
these
relationships
by
examining
mediating
roles
innovation
capabilities
technological
volatility.
Design/methodology/approach
is
applied
in
purpose
employs
a
descriptive-survey
method
for
data
collection.
It
follows
qualitative-quantitative
approach,
utilizing
expert
interviews
qualitative
phase.
sample
consists
35
managers
professors
with
experience
universities
high-tech
industries,
selected
through
snowball
method.
Data
collected
from
Iranian
organizations
were
analyzed
using
AMOS
software.
Findings
results
revealed
positive
correlation
between
management.
Knowledge
demonstrated
significant
relationship
Additionally,
volatility
identified
as
crucial
factors
influencing
innovation,
particularly
promoting
frugality.
Originality/value
While
this
provides
comprehensive
model,
it
acknowledges
specific
limitations
that
warrant
investigation.
predominantly
focused
organizations,
suggesting
an
opportunity
broaden
scope
include
diverse
organizational
perspectives
various
cultural
geographical
contexts.
Moreover,
promising
avenue
future
involves
exploring
entrepreneurial
orientation
potential
variable.
Given
dynamics,
introducing
could
enhance
our
understanding
effects
both
promotion
frugal
expansion
may
illuminate
intricate
interplay
orientation,
processes
innovative
practices,
contributing
more
sophisticated
discussion
effective
strategies.
Language: Английский