Thesis advisor: Elizabeth Rouse / Society faces a variety of grand challenges: global problems that must be addressed through coordinated and collaborative effort such as reducing global poverty, effective management of natural resources, and balancing innovation and security in the development of emerging technologies. Management researchers have made great strides in conceptualizing what makes these challenges unique, why they are especially difficult to solve, and how organizations can help solve them. Despite this progress, we lack an understanding of the experience of the “grand challenge workers” who seek to address these problems, including the unique difficulties they face in their work and how they overcome them. Through a qualitative, inductive study of workers seeking to ensure the safe development of artificial intelligence and biotechnology, I explored the pressures and worrying thoughts that lead these workers to experience work performance anxiety. I show how, in response to this anxiety, workers engage in various bounding and reframing practices to limit the demands their work places on them and expand their sense of the resources available to them. I also illustrate how these workers relate to grand challenge communities: groups focused on coordinating efforts to address the grand challenge. I build theory around the contextual factors that lead workers to rely heavily on these communities and subsequently adopt an exclusive solidarity approach to addressing the grand challenge. I show how these workers recognize the threats this approach poses to their judgment, well-being, and effectiveness, and how they shift toward an expansive solidarity approach. Practically, this research provides insights into how these workers respond to the challenges they face in ways that enable them to address the grand challenge while also preserving their well-being. / Thesis (PhD) — Boston College, 2024. / Submitted to: Boston College. Carroll School of Management. / Discipline: Management and Organization.
Identifer | oai:union.ndltd.org:BOSTON/oai:dlib.bc.edu:bc-ir_109967 |
Date | January 2024 |
Creators | Gardner, Joel E. |
Publisher | Boston College |
Source Sets | Boston College |
Language | English |
Detected Language | English |
Type | Text, thesis |
Format | electronic, application/pdf |
Rights | Copyright is held by the author, with all rights reserved, unless otherwise noted. |
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