Exploring consumer intentions to continue: Integrating task technology fit and social technology fit in generative AI based shopping platforms
Technovation,
Год журнала:
2025,
Номер
142, С. 103189 - 103189
Опубликована: Фев. 12, 2025
Язык: Английский
Artificial Intelligence Technology, Organizational Learning Capability, and Corporate Innovation Performance: Evidence from Chinese Specialized, Refined, Unique, and Innovative Enterprises
Sustainability,
Год журнала:
2025,
Номер
17(6), С. 2510 - 2510
Опубликована: Март 12, 2025
In
the
context
of
global
economic
digital
transformation
and
technological
innovation,
application
AI
Technology
has
a
profound
impact
on
corporate
innovation
development.
Existing
research
primarily
focused
direct
effect
Corporate
Innovation
Performance,
while
there
is
limited
exploration
its
interaction
with
organizational
learning
mechanisms.
Based
Dynamic
Capabilities
Theory,
this
study
constructs
framework
“Technology—Individual
Learning
Capability—Team
Capability—Innovation
Performance”,
analyzing
how
enhances
capabilities
to
drive
improvements
in
performance
explores
moderating
role
Organizational
Capability.
Through
empirical
analysis
data
from
Specialized,
Refined,
Unique,
Innovative
Enterprises
China,
finds
that
significantly
Capability
playing
critical
role.
Additionally,
heterogeneity
indicates
factors
such
as
production
factors,
industry
characteristics,
firm
size
influence
effectiveness
enhancing
performance.
This
reveals
pathway
through
which
optimizes
mechanisms
improve
performance,
offering
both
theoretical
support
practical
guidance
for
strategic
decision-making.
Язык: Английский
Generative AI capabilities for green supply chain management improvement: extended dynamic capabilities view
International Journal of Logistics Research and Applications,
Год журнала:
2025,
Номер
unknown, С. 1 - 28
Опубликована: Март 17, 2025
Язык: Английский
Generative AI Integration in Leadership Practice: Foundations, Challenges, and Opportunities
Journal of Leadership Studies,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 14, 2025
Integrating
generative
artificial
intelligence
(GenAI)
into
leadership
practice
represents
a
pivotal
transformation
in
organizational
dynamics,
presenting
unprecedented
opportunities
and
complex
challenges.
The
current
article
develops
comprehensive
conceptual
framework
grounded
sociotechnical
systems
adaptive
theories
to
guide
future
research
practice.
By
carefully
examining
leader‐follower
relationships,
decision‐making
processes,
learning
patterns,
we
demonstrate
how
GenAI
reshapes
traditional
paradigms
while
raising
critical
ethical
considerations.
Our
analysis
reveals
four
key
areas
demanding
attention:
AI
implementation,
trust
dynamics
between
human
agents,
literacy
development
across
levels,
integrating
with
existing
structures
governance
policies.
emphasizes
the
crucial
balance
technological
advancement
human‐centered
leadership,
particularly
highlighting
Human
Interaction
lens
can
responsible
adoption.
identifying
specific
questions
each
domain,
provides
roadmap
for
scholars
practitioners
navigating
evolving
landscape
of
AI‐enhanced
leadership.
Язык: Английский