Track description

Knowledge Management (KM) encompasses the comprehensive suite of organizational processes dedicated to the creation, acquisition, storage, transfer, sharing, transformation, translation, and utilization of knowledge, leveraging both data and information. In today's rapidly evolving digital landscape, the advent of new technologies presents disruptive challenges, necessitating a fresh perspective on KM.

This track delves into how KM is being reshaped by the integration of Artificial Intelligence (AI) applications and the shifting dynamics between humans and the digital realm. Moreover, it's crucial for KM to extend beyond organizational confines, facilitating knowledge flows with suppliers, customers, and within the broader knowledge networks. This involves rethinking traditional business strategies to integrate deliberate and emergent knowledge strategies, thus ensuring a dynamic and responsive KM system.

Our discussions will explore how KM can be a boon, enhancing organizational agility and innovation, or a bane, if misaligned with the evolving technological and business landscapes.

Presentations designed for the Knowledge management track should be focused on the following issues, or any other issues associated with them:

• Knowledge dynamics models and their practical implications.

• Knowledge creation and acquisition at the individual and organizational levels.

• Knowledge sharing, knowledge hiding and hoarding.

• Knowledge translation models and their applications.

• Knowledge flows within organizations and across their borders.

• Customer knowledge management, open innovation and value co-creation.

• Knowledge networks and their dynamics.

• Learning, unlearning and re-learning processes.

• Organizational learning and the learning organizations.

• Developing knowledge strategies and integrating them into the business strategies.

• Knowledge management and digitalization, including AI challenges.

• Designing knowledge critical infrastructures for increasing resilience and achieving sustainability.

• Knowledge vulnerabilities and knowledge risks.

• The future of knowledge management.

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