special track details

AI, Teams and Collaboration: Performance, Well-Being and the Future of Collaborative Work

Description

This track explores how Artificial Intelligence, and Generative AI in particular, is transforming teamwork and collaborative work. It focuses on how AI affects team performance, communication, coordination, knowledge sharing and integration, trust, leadership, and employee well-being. Particular attention is given to the changing distribution of roles, expertise, and decision-making between humans and AI systems. The track welcomes theoretical and empirical contributions that examine how human and artificial intelligence increasingly interact within organizational knowledge ecosystems and how organizations can design AI-enabled teamwork that supports both performance and well-being.

Indicative Topics
  • AI and team performance
  • Human–AI collaboration
  • Team communication and coordination
  • Knowledge sharing, integration and creation
  • Team cognition
  • Trust in AI and interpersonal trust
  • Leadership of AI-augmented teams
  • Employee well-being
  • AI, autonomy and meaningful work
  • Human–AI roles and decision-making
  • AI in virtual and knowledge-intensive teams
  • Future of teamwork and team theory
Keywords
Artificial Intelligence; Human–AI Collaboration; Employee Well-Being; Teamwork; Future of Work
Organizers
Luca Famà – University of Messina, Italy
Vincenzo Corvello – University of Messina, Italy
Antonio Cimino – University of Messina, Italy
Andreea Moldovan – West University of Timișoara, Romania

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