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Associate Professor, Technology Management

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Matt Beane studies how we build skill in work involving intelligent machines like AI and robotics. His award-winning research has been published in top management outlets such as Administrative Science Quarterly, Organization Science and Harvard Business Review, he publishes in technical outlets such as CHI, HRI, he has spoken on the TED stage, and he is the author of The Skill Code: How to Save Human Ability in an Age of Intelligent Machines (HarperCollins). He is co-founder and CEO of Tacitly, a firm that helps experts and novices build skill through collaborative engagement with rich media (e.g., video) of skilled work. In 2012 he was selected as a Human-Robot Interaction Pioneer, and in 2021 was named to the Thinkers50 Radar list. Matt is a Digital Fellow with the Stanford Digital Economy Lab and MIT’s Initiative on the Digital Economy.

Check out Matt's book The Skill Code here!

Recent Publications

Lepine, B., Weerantunga, G., Kim, J., Mishkin, P., & Beane, M. (2025). Evaluations at Work: Measuring the Capabilities of GenAI in Use. arXiv preprint arXiv:2505.10742.

Euchner, J., & Beane, M. (2024). Designing Technology that Preserves Skill Development: A Conversation with Matt Beane. Research-Technology Management67(6), 12-18.

Hartmann, M., & Beane, M. (2024). Haunted Adoption: How Applied Experts Can Drive Organizations to Incorporate Technology without Strong Managerial Support. Available at SSRN 4925724.

Beane, M. (2024). The Skill Code: How to Save Human Ability in an Age of Intelligent Machines. HarperCollins.

Beane, M., & Anthony, C. (2024). Inverted Apprenticeship: How Senior Occupational Members Develop Practical Expertise and Preserve Their Position When New Technologies Arrive. Organization Science35(2), 405-431.

Beane, M. (2023). Resourcing a Technological Portfolio: How Fairtown Hospital Preserved Results While Degrading Its Older Surgical Robot. Administrative Science Quarterly68(3), 691-733.

Kim, J., Choi, D., Lee, N., Beane, M., & Kim, J. (2023, April). Surch: Enabling Structural Search and Comparison for Surgical Videos. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-17).

Beane, M. I., & Leonardi, P. M. (2025). Pace Layering as a Metaphor for Organizing in the Age of Intelligent Technologies: Considering the Future of Work by Theorizing the Future of Organizing. Journal of Management Studies62(5), 2025-2052.

Beane, M. (2022). Today's Robotic Surgery Turns Surgical Trainees into Spectators: Medical Training in the Robotics Age Leaves Tomorrow's Surgeons Short on Skills. IEEE Spectrum59(8), 32-37.

Chen, Z., Chen, W., Smiley, C., Shah, S., Borova, I., Langdon, D., ... & Wang, W. Y. (2021). Finqa: A Dataset of Numerical Reasoning over Financial Data. arXiv preprint arXiv:2109.00122.

George, A., Mirza, M., Semerjian, A., Kim, J., Beane, M., Peabody, J., & Ghani, K. R. (2021). Leveraging Video Review to Improve Technique in Urological Surgery. AUANews26(5).

Other Publications

Beane, M. 2020. In Storage, Yet on Display: An Empirical Investigation of Robots' Value as Social Signals. Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, HRI ’20: 83–91.

Beane, M. 2019. Shadow Learning: Building Robotic Surgical Skill When Approved Means Fail. Administrative Science Quarterly, 64(1), 87–123.

Beane, M. 2019. Learning to Work with Intelligent Machines. Harvard Business Review, 97(5), 140- 149.  

Johnson, M., Beane, M., Mindell, D., & Ryan, J. 2019. Knowledge Management for Rapidly Extensible Collaborative Robots. International Conference on Human-Computer Interaction, (pp. 503– 523).

Jung, M. F., Beane, M., Forlizzi, J., Murphy, R., & Vertesi, J. (2017). Robots in Group Context: Rethinking Design, Development and Deployment. Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 1283–1288.

Beane, M. and W. Orlikowski. 2015. What Difference Does a Robot Make? The Material Enactment of Distributed Coordination. Organization Science 26 (6), 1553-1573 Bettinelli, M., Y. Lei, M.

Beane, M. C. Mackey, T. N. Liesching. 2015. Does Robotic Telerounding Enhance Nurse–Physician Collaboration Satisfaction About Care Decisions? Telemedicine and e- Health

Shen, S., Admoni, H., Harriott, C., Kim, Y., Marge, M., Vázquez, M., Beane, M. … Vozar, S. (2013). HRI Pioneers Workshop 2013. 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 439–440.