One size does not fit all: Sustainable innovation, climate policy, and startups' growth aspirations
Technological Forecasting and Social Change,
Год журнала:
2025,
Номер
215, С. 124069 - 124069
Опубликована: Март 5, 2025
Язык: Английский
Non-Hierarchic Leadership Collaboration: Exploring the Adoption of AI-Driven Social Networking for Addressing Social Challenges in an Extra-Organizational Environment
Technology in Society,
Год журнала:
2025,
Номер
unknown, С. 102809 - 102809
Опубликована: Янв. 1, 2025
Язык: Английский
The Antecedents and Outcomes of Dynamic Capabilities in Digital Transformation: A Study of Chinese Manufacturing Companies
Journal of the Knowledge Economy,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 11, 2025
Язык: Английский
AI-driven innovation in emerging markets: extending the technology acceptance model–technology-organization-environment framework in small- and medium-sized enterprises
Data Science and Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 1, 2025
Язык: Английский
Cluster analysis of research and development capacity in Europe
The European Journal of Applied Economics,
Год журнала:
2025,
Номер
22(1), С. 86 - 97
Опубликована: Янв. 1, 2025
The
role
of
innovation
in
economic
development
cannot
be
overstated,
particularly
the
context
emerging
market
economies
and
newly
industrialized
countries,
where
it
serves
as
a
catalyst
for
national
growth
international
competitiveness.
Human
capital
plays
an
indispensable
developing
knowledge
economies,
its
importance
has
become
increasingly
emphasized
within
European
Union
region
seeks
to
maintain
competitiveness
green
digital
transitions.
Cluster
analysis
offers
methodologically
robust
approach
grouping
countries
on
similarities
their
R&D
profiles.
By
identifying
clusters
with
comparable
characteristics,
is
possible
gain
deeper
insights
into
strengths
weaknesses
systems.
Understanding
distribution
capacity
across
Europe
can
facilitate
collaborations
promote
among
similar
challenges.
This
research
paper
aims
explore
clustering
based
capacity,
providing
comprehensive
key
metrics
implications
strategies.
study
relies
most
important
distinction
identified
four
total
35
that
were
subject
research.
Язык: Английский
How can artificial intelligence capabilities empower sustainable business model innovation? A dynamic capability perspective
Business Process Management Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 6, 2025
Purpose
This
study
attempts
to
employ
a
dynamic
capability
perspective
delve
into
the
effects
of
artificial
intelligence
capabilities
on
sustainable
business
model
innovation,
while
considering
strategic
agility
as
mediator
and
environmental
dynamism
moderator.
Design/methodology/approach
employed
partial
least
squares-structural
equation
modeling
(PLS-SEM)
fuzzy-set
qualitative
comparative
analysis
(fsQCA)
methodologies
conduct
empirical
data
from
337
Chinese
firms.
Findings
The
results
reveal
that
contribute
positively
which
is
mediated
by
agility.
Additionally,
strengthens
impact
resource
fluidity.
Practical
implications
Firms
should
prioritize
enhancement
leverage
their
role
in
sensing
opportunities.
Meanwhile,
they
deploy
monitor
competitive
environment
better
seize
sensed
Originality/value
First,
this
takes
examine
its
innovation.
Second,
reveals
inner
mechanisms
between
innovation
investigating
mediating
Third,
clarifies
boundary
conditions
for
relationship
examining
moderating
dynamism.
Язык: Английский