Sustainability Accounting Management and Policy Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 27, 2024
Purpose
Green
and
digital
transitions
(twin
transition)
help
in
achieving
climate
neutrality,
cutting
down
the
pollution
level
reviving
biodiversity.
Organizations
can
mitigate
their
ecological
footprint,
improve
portfolio
fulfil
ethical
responsibilities
by
fostering
a
sustainable
global
community
adhering
to
well-defined
plan.
In
such
backdrop,
this
study
aims
propose
strategies
identifying
strengths,
weaknesses,
opportunities
threats
of
twin
transition
categorize
evaluate
internal
external
factors
for
environmental
sustainability.
Design/methodology/approach
Following
comprehensive
review
literature,
27
have
been
identified
analyzed
using
weakness,
threat
matrix
(SWOT).
Threats,
opportunities,
strength
analysis
approach
is
used
limit
risk,
overcome
weaknesses
take
advantage
opportunities.
Effective
are
designed
implemented
strategic
planning
action
evaluation
(SPACE)
quantitative
(QSPM)
approach.
Findings
The
found
that
aggressive
considering
economic
must
be
accomplish
green
growth
objectives.
Out
three
strategies,
focus
on
technological
innovation
taking
financial
mechanisms
at
international
highly
recommended
achieve
Research
limitations/implications
Through
promoting
transformation,
current
provides
insightful
policy
recommendations
development.
It
may
operational
efficacy
obtain
competitive
edge
successfully
limiting
adverse
effects
market
through
implementation
transition.
process
developing
strategy
aids
stakeholders,
including
society,
workers
other
parties,
giving
sustainability
top
priority
while
making
decisions.
Social
implications
Strategy
development
helps
employees
all
stakeholders
prioritize
decisions
Originality/value
identifies
formulating
SWOT,
TOWS,
SPACE
QSPM
pervasive
Industry and Innovation,
Год журнала:
2023,
Номер
30(7), С. 755 - 765
Опубликована: Авг. 9, 2023
In
an
era
of
increasing
global
challenges,
two
paradigmatic
shifts
–
the
digital
and
green
transitions
have
gained
traction
due
to
their
potential
impacts
on
industrial
ecosystems
societal
inequalities.
Termed
'twin
transition',
these
underscore
synergies
between
technological
advancements
environmental
sustainability.
Highlighting
its
importance
in
post-COVID-19
recovery,
special
issue
examines
twin
transition's
drive
innovation
affect
social,
economic,
geographical
The
seven
articles
this
explore
impact
transition
corporate
strategies
investment,
alongside
implications.
Key
findings
need
for
diversified
investments,
especially
AI,
enhanced
infrastructures.
Policy
recommendations
advocate
aiding
firms
lagging
digitalisation
developing
region-specific
policies.
research
sets
a
roadmap
future
inquiries
into
interplay
transition,
broader
economic
impacts,
policy-driven
strategies.
Sustainability,
Год журнала:
2024,
Номер
16(4), С. 1533 - 1533
Опубликована: Фев. 11, 2024
In
the
European
Digital
Decade
2030
Policy
Program,
following
guidelines
for
digital
transformation
are
named,
which
means
that
more
than
90%
of
small-
and
medium-sized
companies
reach
at
least
a
basic
level
intensity.
addition
to
that,
Commission
pays
lot
attention
implementing
“Green
Deal”
in
order
achieve
less
environmental
impact.
ICT
SMEs
already
play
key
role
Europe’s
green
transformation,
creating
technologies
promote
sustainability
strengthen
position.
The
limited
fragmented
application
today’s
sustainable
is
observed
EU
level.
bibliometric
literature
analytical
results
show
number
papers
on
direction
five
times
higher
topic.
paper
seeks
identify
directions
could
help
speed
up
this
twin
each
country.
authors
proposed
two-stage
methodology,
used
researching
transformations
SMEs.
According
first,
analysed
indicators
EU-27
SMEs,
representing
their
activity
towards
comparing
them
among
other
size
classes.
SME’s
numbers
16
area
worse
characterizing
enterprises,
having
ten
employees.
addition,
multi-criteria
decision
making-based
assessment
framework
was
constructed
progress
transition.
provided
research
shows
areas
require
from
policy
makers
responding
objectives.
Journal of Evolutionary Economics,
Год журнала:
2024,
Номер
34(1), С. 1 - 28
Опубликована: Янв. 1, 2024
Abstract
Artificial
intelligence
(AI)
technologies
have
significantly
attracted
the
attention
of
institutional
investors
over
last
decade.
However,
previous
literature
has
not
deeply
explored
characteristics
venture
capital
(VC)
investments
in
AI
ventures.
In
this
study,
we
explore
whether
and
to
what
extent
ventures
differ
from
those
similar
non-AI
ventures,
they
are
moderated
by
venture-level,
country-level,
investor-level
factors.
We
test
our
hypotheses
on
a
sample
5235
2689
9215
4373
belonging
Industry
4.0
domain,
observed
2000
2019.
find
that
amount
invested
is
lower
than
ones:
negative
relationship
is,
however,
venture’s
development
stage,
VC
investor’s
experience
level
country
which
operates.
Regional Studies,
Год журнала:
2024,
Номер
unknown, С. 1 - 17
Опубликована: Авг. 21, 2024
This
paper
examines
the
role
of
policy
in
China's
digital
and
green
(twin)
transition,
building
on
a
qualitative
study
large
corpus
documents
domains.
We
analyse
multi-level
governance
these
transitions
for
three
regional
case
studies:
Shanghai,
Wuhan
Hangzhou.
find
that
regions
both
adopt
adjust
aims
means
differently
from
national
policy.
A
twin
transition
is
not
comprehensively
addressed
at
level,
but
partially
implemented
regions.
Based
our
findings,
we
develop
typology
sketching
top-down
implementation
strategies.
Regional Studies,
Год журнала:
2024,
Номер
unknown, С. 1 - 19
Опубликована: Март 11, 2024
We
investigate
the
spatial
distributions
and
transitions
of
European
regions'
innovative
orientation
to
information
communication
technology
(ICT),
green
or
twin
technologies.
Using
a
transition
probability
approach
methods,
we
estimate
regions
becoming
in
either
both
technologies
assess
role
spillovers.
Regional Studies,
Год журнала:
2024,
Номер
unknown, С. 1 - 17
Опубликована: Июнь 12, 2024
This
study
reveals
both
the
spatial
and
combinatory
patterns
of
digital
green
scientific
knowledge
bases
for
creation
new
in
domain
so-called
'twin
transition'.
The
recent
rapid
diffusion
this
twin
European
regions
has
not
adhered
to
clearly
defined
been
characterised
by
a
dynamic
process
actor
reconfiguration.
However,
with
strong
science
base
have
greater
propensity
produce
more,
better
quality
more
visible
knowledge.
Among
most
prevalent
fields
emerging
today
are
artificial
intelligence
(AI)-
Internet
Things
(IoT)-powered
applications
energy
storage,
distribution
consumption;
environmental
monitoring
modelling;
urban
planning.
Journal of the Knowledge Economy,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 16, 2024
Abstract
This
study
explored
the
synergistic
effects
of
artificial
intelligence
(AI)
on
green
innovation
at
national
level
by
identifying
three
core
activities
in
innovation:
entry,
exit,
and
sustained
specialization
technologies.
Employing
a
comprehensive
three-way
fixed-effects
panel
model,
we
analyzed
trends
139
countries
over
30-year
period.
Our
findings
emphasize
that
technological
capability,
especially
AI
technologies,
is
more
pivotal
than
economic
wealth
securing
comparative
advantages
One
notable
observation
path-dependent
development
technology,
which
suggests
propensity
for
nations
to
build
new
technologies
based
existing
strengths.
A
key
contribution
this
“AI-Green
Cross-Density”
model.
innovative
method
quantifies
interactions
between
highlights
role
promoting
innovation.
The
influence
introduction
has
become
pronounced
recent
years,
particularly
economically
less-developed
countries.
indicate
integration
modern
can
significantly
enhance
technology
sectors
mid-to-low-income
countries,
providing
vital
insights
policymakers
striving
foster
sustainable
technologically
advanced
future.
IEEE Transactions on Engineering Management,
Год журнала:
2024,
Номер
71, С. 10966 - 10983
Опубликована: Янв. 1, 2024
The
impact
of
digital
and
green
transitions
(the
"
twin
transition
")
brings
societal
challenges
that
universities
must
address
proactively
by
assuming
an
ecosystem
organisational
model.
Beginning
from
this
premise,
paper
aims
to
investigate
how
entrepreneurial
university
having
adopted
a
dynamic
evolution
model
can
sustain
its
stakeholders
in
facing
the
twin
transition.
study
proposes
adopt
system
dynamics
as
methodology
for
modelling
complexity
characterising
terms
nodes
knowledge
flow
their
accomplishment
Accordingly,
presents
evidence
case
South
Italy,
LUM
University
"Giuseppe
Degennaro"
Bari.
evolved
response
stakeholders'
both
transformation
Findings
show
change
quickly
incorporate
entrepreneurship
activities
complex
interrelationships
among
various
according
adaptive
Implications
theory
practice
regard
novel
role
ecosystems
actively
engaged
sustaining
achievement
transition's
strategic
goals.