32: Computational Explorations of Organizational Phenomena (Maciej Workiewicz)
- Jose Arrieta

- May 13
- 1 min read
Updated: 7 days ago
Prerecorded session
Live session
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Required readings
Ketkar, H., & Workiewicz, M. (2022). Power to the people: The benefits and limits of employee self‐selection in organizations. Strategic Management Journal, 43(5), 935–963
Levinthal, D. A., & Workiewicz, M. (2018). When two bosses are better than one: Nearly decomposable systems and organizational adaptation. Organization Science, 29(2), 207–224
Recommended readings
Burton, R. M., & Obel, B. (2011). Computational modeling for what-is, what-might-be, and what-should-be studies—and triangulation. Organization Science, 22(5), 1195-1202.
Sengul, M., & Workiewicz, M. (2026). Comanaging in Multisubsidiary Firms: The Role of Complementary and Substitutive Interdependencies. Organization Science.
Discussion questions
Given that organizations and AI are types of information processing systems, the big open question is how the new AI technologies will continue changing how we organize human labor
Given the increasing use of AI, what is the role of humans in organizations?
How should we subsequently change the way we train future managers?
How is your own work changing following the introduction of AI technologies, like LLMs? What skills should you invest in and how?
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