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Digital communities of practice and the knowledge transformation cycle: Enabling sustainable food systems through AI and Metaverse technologies

Author

Listed:
  • Cacciolatti, Luca
  • Lee, Soo Hee
  • Christofi, Michael
  • Christodoulou, Ioannis
  • Van, Su Ha

Abstract

This study develops a conceptual framework to theorise how digitally augmented Communities of Practice (CoPs), such as the Slow Food Movement, can support sustainable food systems transformation through advanced knowledge management. Although digital innovation is increasingly applied in agri-food systems, much of the literature remains technocentric, focusing on infrastructure and automation, while overlooking how digital tools mediate community-based knowledge flows and adaptive capabilities. Addressing this gap, we integrate Nonaka and Takeuchi's SECI model with Teece's dynamic capabilities framework to examine how Artificial Intelligence (AI) and Metaverse technologies enable CoPs to create, share, and transform knowledge.

Suggested Citation

  • Cacciolatti, Luca & Lee, Soo Hee & Christofi, Michael & Christodoulou, Ioannis & Van, Su Ha, 2026. "Digital communities of practice and the knowledge transformation cycle: Enabling sustainable food systems through AI and Metaverse technologies," Technology in Society, Elsevier, vol. 85(C).
    • Handle: RePEc:eee:teinso:v:85:y:2026:i:c:s0160791x25003781
    DOI: 10.1016/j.techsoc.2025.103188
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