Multi-Level Determinants of Sustainable Blockchain Technology Adoption in SCM: Individual, Organisational, and Societal Perspectives
Sustainability,
Год журнала:
2025,
Номер
17(6), С. 2621 - 2621
Опубликована: Март 16, 2025
This
study
examines
how
individual,
organisational,
and
societal
factors
influence
blockchain
technology
(BCT)
adoption
in
supply
chain
management
(SCM).
Using
Partial
Least
Squares
Artificial
Neural
Networks
(PLS-ANNs)
Necessary
Condition
Analysis
(NCA),
it
identifies
key
determinants
of
sustainable
BCT
among
small-
medium-sized
enterprises
(SMEs).
The
results
show
that
compatibility,
top
support,
relative
advantage
are
critical
for
adoption.
focuses
on
SMEs,
further
research
is
needed
to
assess
whether
these
findings
apply
larger
organisations.
Insights
from
this
provide
a
foundation
improving
high-impact
sectors
inform
strategic
practices.
By
analysing
multi-level
factors,
the
enhances
understanding
guides
policy
development
equitable
innovations.
Additionally,
refine
existing
models
by
introducing
validating
new
determinants,
contributing
both
theory
practice
SCM.
comprehensive
approach
bridges
gaps
offers
actionable
insights
adoption,
supporting
broader
economic
social
benefits.
Язык: Английский
The Role of Life Cycle Assessments in Digital Product Passport Implementation for Building a Plastic Circular Economy
Circular Economy and Sustainability,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 2, 2025
Язык: Английский
Digital Technologies: Description, Classification, and Links to Circular Economy
Business Strategy and the Environment,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 27, 2025
ABSTRACT
Digital
technologies
(DTs)
and
circular
economy
(
CE
)
are
currently
two
topics
that
expected
to
contribute
significantly
sustainable
development,
digitization
is
generally
considered
a
key
enabler
of
.
However,
most
studies
only
cover
the
known
Industry
4.0
technologies,
very
limited
research
detailing
how
DTs
can
support
implementation
available.
The
first
objective
this
paper
fill
these
gaps
by
offering
an
overview
24
enablers
,
thanks
systematic
literature
discussion
development
DATE
(Digital
Architecture
Type)
classification.
second
goal
analyze
specifically
strategies
narrowing,
slowing,
closing,
regenerating.
results
demonstrate
provide
wealth
information
regarding
production
consumption
chains,
from
micro
global
levels.
Real‐time
diagnostics
forecasting
be
obtained
for
efficient
service
provision,
component
lifespan
extension
better
design
practices,
besides
improved
remanufacturing,
recycling,
refurbishment
approaches.
To
inform
future
research,
significant
in
new
initiatives
addressed.
Язык: Английский