general key topics

Scope of the Conference

IFKAD 2027 invites contributions that examine the ecology of knowledge in the AI era from managerial, organisational, and technological perspectives, and welcomes the interdisciplinary dialogue, encompassing economics, sociology, information systems, ethics, design, and policy, that has always characterised the Forum. We are particularly interested in research that treats knowledge management not as a static managerial discipline concerned with handling knowledge assets to drive value creation, but as the ongoing cultivation of a living ecosystem in which human and artificial intelligence jointly generate organisational wealth.

 

The conference welcomes theoretical, empirical, and practice-based contributions addressing, among others, the following streams:

  • Knowledge management and intellectual capital in the age of AI
  • Organisational cognitive architecture and transformation (OCT)
  • Human–AI collaboration and co-creation of knowledge value
  • Governance, ethics, and stewardship of organisational knowledge ecosystems
  • Leadership, culture, and human resource development in hybrid knowledge ecosystems
  • Sustainability, resilience, and diversity of organisational knowledge sources
  • Integral ecology as a framework for responsible innovation and organisational development
  • Integrating aesthetics and AI for balanced innovation and development capacity
  • Arts-based methods in the AI era
  • AI agency and epistemic dynamics in organisations

Other topics relevant to the conference but not included in the list above will also be considered

Key Research Questions
  1. How does AI transform organisational cognitive architecture, and what new capabilities and vulnerabilities emerge from this transformation?
  2. In what sense can AI be understood as a ‘partner’ within the organisational knowledge ecosystem, rather than merely a tool, and what does this imply for accountability and governance?
  3. How can knowledge management, as an engine of organisational wealth creation, be reconceived when the ecosystem it manages comprises both human and artificial cognitive agents?
  4. What does ‘integral ecology’ offer as an interpretative framework for management and organisational development seeking to safeguard human judgement, creativity, and dignity within AI-augmented organisations?
  5. How should intellectual capital theory evolve to account for AI as either a contributor to or a component of organisational knowledge assets?
  6. Which organisational structures, leadership models, and cultures best nurture a healthy, diverse, and resilient knowledge ecosystem in the AI era?
  7. How can organisations guard against the erosion of cognitive and cultural diversity, a form of ‘knowledge monoculture’, as AI systems scale across industries?
  8. What new models of value creation and distribution emerge when knowledge ecosystems are co-populated by human and artificial intelligences?
  9. How can aesthetic and artistic sensibility complement AI-driven cognition to sustain a more balanced and diverse organisational capacity for innovation?
  10. What can arts-based methods contribute to knowledge creation, learning, and enquiry in organisations, and how do they differ from computational and data-driven approaches to knowledge?
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