TRACK TOPIC:
Knowledge Management in the Era of AI
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CHAIR
Constantin
Bratianu
Emeritus of Strategic Management and Knowledge
Management, Bucharest University of Economic
Studies, Romania
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The emergence of
disruptive AI
technologies,
especially
generative AI,
impacts the
human-centered
KM and asks for
new paradigms
capable of
dealing with
artificial
knowledge and
its integration
within the new
structures of
Knowledge
Management
systems (KMS).
This track
delves into how
KMS are reshaped
by the
integration of
artificial
knowledge and
artificial
intelligence
into the design
and operation of
complex
interactions
between people
and machines in
knowledge-intensive
organizations.
That means new
concepts, new
ideas and
theories, and
the construction
of new paradigms.
The following
can be inspiring
topics for the
papers prepared
for this track,
but not
exclusively:
• Knowledge
fields and
knowledge
dynamics in
knowledge-intensive
organizations.
• The impact of
AI tools on the
structure and
design of KMS.
• The emergent
concept of
artificial
knowledge and
its impact on
KMS.
• The dynamics
of integrating
human knowledge
with artificial
knowledge.
• Knowledge
creation and
knowledge
acquisition.
• Knowledge
sharing,
knowledge hiding,
and knowledge
hoarding.
• Knowledge
transfer and
knowledge
diffusion.
• Knowledge
translation and
knowledge
absorption.
• Knowledge
embedding in
products and
services.
• Knowledge
vulnerabilities
and knowledge
risks.
• Designing
knowledge
strategies for
knowledge-intensive
organizations.
• Knowledge
flows within
organizations
and across their
borders.
• Knowledge
networks and
their dynamics.
• Learning,
unlearning, and
re-learning in
KMS.
• Organizational
learning and the
learning
organizations.
• Knowledge
creation,
co-creation, and
open innovation.
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