Decoding the Future of Work.

We study the co-evolution of digital technologies and organizations - empirically, interdisciplinarily, and with real-world impact in mind

OrgLab's Research Pillars

Artificial Intelligence
& the Future of Work

We study how Artificial Intelligence impacts work, skills, and decision-making, rebalancing automation with human expertise.

Coordination & Collaboration
in Distributed Networks

We explore how organizations and teams coordinate in digital environments, from remote work to decentralized decision-making.

Digital Ecosystems
& Innovation

We investigate how digital technologies reshape organizational ecosystems, enabling new forms of value creation, competition, and organizational transformation.

Trustworthy Technologies
& Governance

We investigate the relationship between technology governance, sustainability, and (un)desirable impacts, both at organizational and societal level.

Recent Highlights

📣 Internship Opportunity @OrgLab

OrgLab is offering an exciting internship opportunity for students passionate about digital innovation and organization studies!

🚀 OrgLab Heads to ECIS 2026

OrgLab is heading to @ECIS2026 to present our research on the impact of AI on Organizational Memory!

📌 Track 01 at ItAIS 2026

OrgLab is co-chairing Track 01 at ItAIS 2026! If you are a scholar interested in Organizational Change: Enabling Technologies & Business Process Design, join us in Viterbo!

5 Most Recent Publications

- Bolici, di F. (2026). Doing Without Learning: Il rischio nascosto dell’AI. Harvard Business Review Italia.
- Varone, A., Fudge, M., Crowston, K., & Bolici, F. (2026). Motivations for Using AI Tools in an Introductory Programming Class. 2026 CHI Conference on Human Factors in Computing Systems.
- Varone, A., Bolici, F. and Crowston, K. (2026). Orchestration and Agency in Multi-Agent Systems: Preserving Human Capability in Agentic Automation. Proceedings of CHI 2026 Workshop on Agentic Automation Experiences. CHI 2026 Workshop on Agentic Automation Experiences.
- Bolici, F., Varone, A. and Crowston, K. (2026). From Learning-by-Doing to Doing-Without-Learning: A Sensemaking Model of Skill Development in AI-Augmented Work. Atti del XLI Convegno Nazionale AIDEA. XLI Convegno Nazionale AIDEA, Milano.
- Bolici, F., Crowston, K., Varone, A., & Fudge, M. (2026). Rethinking Programming Skills in the Age of Generative AI. Hawaii International Conference on System Sciences 2026. Available at: https://doi.org/10.24251/HICSS.2026.863.

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