Knowledge Management in an Age of Uncertainty: Trust, Resilience and Human-AI Knowledge

The primary aim of ECKM is to foster a deeper understanding of knowledge management processes, practices, and technologies, and to explore their impact on organizational effectiveness and innovation. The conference seeks to bridge the gap between theory and practice by encouraging the exchange of ideas between academics and practitioners. It also aims to promote interdisciplinary collaboration by bringing together experts from various fields such as business, information technology, education, and public administration.

The theme this year Knowledge Management in an Age of Uncertainty: Trust, Resilience and Human-AI Knowledge reflects the growing importance of knowledge management in conditions of persistent uncertainty shaped by technological disruption, geopolitical instability, sustainability pressures and rapid changes in work and decision-making. It highlights three interrelated challenges in contemporary knowledge management research; maintaining trust in knowledge, strengthening organisational resilience through effective knowledge processes, and managing the growing interaction between human expertise and AI-generated knowledge.

The theme provides a framework for examining how organisations create, validate, retain, share and mobilize knowledge for decision-making and action under increasingly complex conditions. Therefore we have three interconnected thematic areas:
• Trust, Knowledge Quality and Governance
• Knowledge Management for Resilience and Adaptation
• Human-AI Interaction in Knowledge Processes

These areas are intended as cross-cutting thematic priorities rather than exclusive conference tracks, complementing established ECKM research areas. We continue to value established ECKM research areas and traditional knowledge management topics, but we particularly encourage submissions addressing how knowledge is created, validated, retained, shared and mobilized in increasingly uncertain and complex organizational environments shaped by technological and societal change.

Trust, Knowledge Quality and Governance

• knowledge credibility, validation and provenance
• knowledge quality and reliability
• misinformation and knowledge risks
• governance of AI-generated knowledge
• trust, ethics and accountability in knowledge processes
• knowledge security and protection of critical knowledge

Knowledge Management for Resilience and Adaptation

• knowledge continuity under disruption
• organizational memory and learning from crises
• knowledge retention and loss
• knowledge sharing in uncertain environments
• knowledge management for organizational resilience
• adaptive learning and organizational renewal
• knowledge management in sustainability transitions

Human-AI Interaction in Knowledge Processes

• human-AI collaboration in knowledge work
• generative AI and AI agents in knowledge management
• integration of human and AI-generated knowledge
• tacit knowledge and human expertise in AI-supported environments
• AI-supported knowledge creation, sharing and application
• AI and organizational learning
• AI-supported decision-making and knowledge-intensive work

Contributions addressing established ECKM themes, including knowledge sharing, organizational learning, intellectual capital, knowledge strategy, culture, leadership, innovation and knowledge management systems, are also encouraged as these are seen as an important aspect of the continuity of this long-running event.