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32: Computational Explorations of Organizational Phenomena (Maciej Workiewicz)

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?


Group members

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