It is not too late to submit a short paper to EGOS Sub-theme 23: "Bringing (Knowledge) Work Back in": Exploring the Impacts and Implications of Artificial Intelligence on Knowledge Work.
Deadline: January 9
https://t.co/iNVgYGCK0b
We welcome submissions from any domain and methodological orientation, especially those that help us better understand questions like these:
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What traditional assumptions about knowledge work are being challenged with new empirical research?
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How can scholars successfully 'bring (knowledge) work back in' in the era of AI?
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How, where, and why are work practices shifting to accommodate increased automation and other aspects related to AI?
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What kind of new human-computer divides and/or complementarities may we discern in modern knowledge work?
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How do professional boundaries get reconfigured as digital experts bring a new type of abstract knowledge in knowledge work settings?
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What does human-machine collaboration look like within the modern context of knowledge work? How are these patterns evolving differently within different professions, industries?
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How do knowledge workers develop their expertise when the repetitive mundane tasks that occupational entrants used to perform become automated?
As organizational scholars are trying to make sense of what technological advances mean for organization theory, we want to remind our community of the fundamental view that work matters (Barley, 1996). Before theorizing the organizational and field changes that derive from the changes in knowledge work in the digital era, it is more crucial than ever to first reconsider how we conceptualize knowledge work and take a deep look at how knowledge work is currently enacted.
References
- Abbott, A. (1988): The System of Professions: An Essay on the Division of Labor. Chicago: University of Chicago Press.
- Autor, D.H., Mindell, D.A., & Reynolds, E. (2022): The Work of the Future: Building Better Jobs in an Age of Intelligent Machines. Cambridge, MA: MIT Press.
- Bailey, D.E., Faraj, S., Hinds, P.J., Leonardi, P.M., & von Krogh, G. (2022): "We Are All Theorists of Technology Now: A Relational Perspective on Emerging Technology and Organizing." Organization Science, 33 (1), 1–18.
- Barley, S.R. (1996): "Technicians in the Workplace: Ethnographic Evidence for Bringing Work into Organizational Studies." Administrative Science Quarterly, 41 (3), 404–441.
- Barley, S.R., & Kunda, G. (2001): "Bringing work back in." Organization Science, 12 (1), 76–95.
- Benanav, A. (2020): Automation and the Future of Work. London: Verso Books.
- Erickson, I., & Wajcman, J. (2022): "Optimizing Temporal Capital: How Big Tech Imagines Time as Auditable." American Behavioral Scientist, first published online on October 17, 2022; https://doi.org/10.1177/00027642221127243.
- Faraj, S., & Pachidi, S. (2021): "Beyond Uberization: The co-constitution of technology and organizing." Organization Theory, 2 (1).
- Lebovitz, S., Lifshitz-Assaf, H., & Levina, N. (2022): "To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis." Organization Science, 33 (1), 126–148.
- McCarthy, J., Minsky, M.L., Rochester, N., & Shannon, C.E. (2006): "A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955." AI Magazine, 27 (4), 12–12.
- Newell, S., Scarbrough, H., & Swan, J. (2009): Managing Knowledge Work and Innovation. London: Red Globe Press.
- Østerlund, C., Jarrahi, M.H., Willis, M., Boyd, K., & Wolf, C. (2021): "Artificial intelligence and the world of work, a co-constitutive relationship." Journal of the Association for Information Science and Technology, 72 (1), 128–135.
- Schultze, U. (2000): "A Confessional Account of an Ethnography about Knowledge Work." Management Information Science Quarterly, 24 (1), 3–41.
- van den Broek, E., Sergeeva, A., & Huysman, M. (2021): "When the Machine Meets the Expert: An Ethnography of Developing AI for Hiring." Management Information Science Quarterly, 45 (3), 1557–1580.
- Waardenburg, L., Huysman, M., & Sergeeva, A.V. (2022): "In the Land of the Blind, the One-Eyed Man Is King: Knowledge Brokerage in the Age of Learning Algorithms." Organization Science, 33 (1), 59–82.
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Ingrid Erickson
Associate Professor
Syracuse University
New Brunswick NJ
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